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南台灣小太陽 郭子琳 ft. 高雄科技大學副教務長廖婉茹 【本集金句】你不需要轉行，你只要跨一步，世界就會多給你一條路。 今天的節目主題，適合每一位對未來感到迷惘、但又渴望更多可能的你--我們要來聊「跨域」！ 在這個AI、IoT、智慧製造串流而來的時代，未來不會只有一種職涯選項。今天在節目中就來了解高科大是如何培養「跨出學院、連接世界」的跨域人才！ 從營建工程到創創課程、USR計畫，到學生跨域成功故事，讓硬實力＋軟實力同時升級，打造能整合、會溝通、有創造力的未來工作者。跨域不是一時興起的口號，是一種能讓你在科技變動中站穩腳步、自由探索的能力。
In this episode of HFS Unfiltered, Saurabh Gupta, President, Research and Advisory Services at HFS Research, chats with Piyush Jain, Global Head for SDX and AI at L&T Technology Services, about the powerful convergence of the physical and digital worlds. Piyush shares two fascinating real-world IoT use cases—from predictive maintenance in plant engineering to carbon footprint reduction through smart city lighting—and how AI is transforming industrial operations. The discussion dives deep into:The evolution of IoT and AI-driven automation.The importance of domain expertise in industrial transformation.Why cultural and mindset shifts—not technology—are the real barriers.The shift from traditional service models to solution-led engagements.A must-watch for tech leaders, digital strategists, and anyone curious about how AI, IoT, and business transformation are shaping the future of enterprise operations.
當我們都將變老，誰來照顧我們？ 2025年，台灣將正式邁入「超高齡社會」，而2035年，老年人口將突破30%。人力短缺的長照產業，能靠AI補上缺口嗎？科技究竟能為照護現場帶來多少真實改變？ 本集邀約智齡科技執行長康仕仲，他在史丹佛大學博士主修AI，自台大教授轉身投入創業，立志用科技改變照護現場。聽他從第一線長照場域出發，談AI如何落地實作、從大量照護數據中找出規律、幫助照服員減少負擔，進一步推動整個產業升級。下載聽「未來城市」，掌握轉型關鍵契機！ 主持人：未來城市頻道總監 陳芳毓 來賓：智齡科技創辦人暨執行長 康仕仲 製作團隊：天下實驗室、天下整合傳播部 本集節目由 智齡科技合作推薦 -- Hosting provided by SoundOn
「AIとIoTでアパート経営はどう変わる？スマートホーム物件の設備例や収益性を解説」 より優れた住環境の住宅に関する研究が進む中で、近年はスマートホームが急速に普及しています。今回の記事では、アパート経営者の視点に立ったスマートホームの設備例や収益性を紹介します。The post AIとIoTでアパート経営はどう変わる？スマートホーム物件の設備例や収益性を解説 first appeared on サステナビリティ・ESG金融・投資メディア - HEDGE GUIDE.
The Tech Chef, Restaurant, Hospitality and Hotel Technology Business Podcast
This podcast features an enlightening discussion between Skip Kimpel and Fabio Zaniboni, focusing on the integration of IoT technology within the hospitality sector and its profound implications for sustainability and energy efficiency. Fabio, with his extensive experience in engineering and innovation, articulates how IoT devices serve as a game-changer for hotels and restaurants aiming to reduce their energy consumption while simultaneously enhancing the guest experience. The narrative highlights the shift toward edge computing, which facilitates smarter data processing at the device level, reducing the need for extensive cloud data transmission and thereby conserving energy and resources.Throughout the conversation, Fabio presents various practical applications of IoT in hospitality, emphasizing the role of smart technologies in optimizing energy usage. For example, he illustrates how occupancy sensors can dynamically adjust lighting and climate control systems based on guest presence, leading to substantial energy savings—potentially as much as 70%. He underscores the accessibility of these solutions, noting that they can be integrated into existing infrastructure with minimal disruption, making them feasible for properties of all sizes, including smaller boutique hotels that may previously have found such technologies cost-prohibitive.Takeaways:The transformative role of IoT in hospitality focuses on sustainability and energy efficiency.By integrating IoT solutions, hotels can significantly reduce energy consumption and operational costs.Smart environmental controls enhance guest experience through improved air quality and personalized lighting.IoT technologies allow for real-time monitoring, leading to predictive maintenance and reduced operational stress.Implementing IoT devices can result in substantial cost savings, improving the hotel's bottom line.Wireless IoT solutions minimize the disruption to existing infrastructure, making adoption easier for hotels.Links Referenced in This Episode:gainadvisors.combootcamp.magicgate.comskipkimpel.commagicgate.combubblynet.comHow To Contact MeWebsite: https://SkipKimpel.com (all archived shows and show notes will be posted here)Website: https://magicgate.comInstagram:https://instagram.com/skipkimpelhttps://www.instagram.com/magicgatetech/X (Twitter):https://twitter.com/skipkimpelhttps://x.com/magicgatetechFacebook:https://www.facebook.com/skipkimpel1/https://www.facebook.com/magicgatetechLinkedIn:
In our latest podcast episode featuring Jeremy Snyder, Founder & CEO of FireTail.io, we explored the evolving cybersecurity landscape and the crucial role of API security in protecting modern enterprises and IoT devices.
In this episode, we talk about the latest in proptech with Maria Aiello with Clarity Building Controls, an AI IoT company, and Kimberly Vasseur, ARM®, with FCA Bonaventure. Find knowledge for the dynamic world of real estate management at irem.org.
The integration of artificial intelligence (AI), Internet of Things (IoT) devices, and cloud solutions is driving digital transformation in the manufacturing sector, revolutionizing traditional processes and improving efficiency. Piaggio Fast Forward (PFF), a subsidiary of Italian motor vehicle manufacturer Piaggio, has introduced an AI-driven factory robot called 'kilo' that can autonomously follow operators and navigate predefined routes. This technology streamlines workflows and reduces the risk of workplace injuries, making manufacturing environments safer and more efficient. Other companies like Figure and Tesla are also exploring the integration of AI and robotics to optimize their factories and create safer working environments. The adoption of advanced technology is crucial for manufacturers to remain competitive in the evolving auto market. --- Send in a voice message: https://podcasters.spotify.com/pod/show/tonyphoang/message
「防災テック・気候テックのスタートアップ企業は？6社を紹介」 AI・ビッグデータ・IoTなど先端テクノロジーを活用した防災テックや気候テックのスタートアップ企業が日本でも数多く立ち上げられています。そこで、この記事では防災テックや気候テックに取り組むスタートアップ企業6社についてご紹介するので、防災・気候分野のビジネスやスタートアップに関心のある方は参考にしてみてください。The post 防災テック・気候テックのスタートアップ企業は？6社を紹介 first appeared on 金融・投資メディアHEDGE GUIDE.
Industrial Talk is onsite at SMRP 31 and talking to Karl Hoffower, Executive Director at Failure Prevention Associations about "Skill Gaps Assessment". Here are some of the key takeaways from our conversation: Industrial IoT security and asset management at SME's 31st annual conference. 0:00 Palo Alto Networks reports improved ROI and reduced complexity with industrial IoT security. Failure prevention and skills gap in industries. 2:20 Dr. Karl Hoffower, co-founder of Failure Prevention Associates, discusses the importance of preventing medical device failures in healthcare. Karl transitioned from medical diagnostics to industrial maintenance, forming Failure Prevention Associates to help clients reduce failures through optimizing people, process, and asset management. Differentiating maintenance services through skill assessments. 6:00 Karl emphasizes the importance of standardized training and certification in the industry. Assessment reveals maintenance skills gap due to lack of leadership, poor work order system, and blame culture. Maintenance assessments and AI/IoT solutions for a shrinking workforce. 9:43 Karl assesses maintenance skills and creates a roadmap for improvement, highlighting areas where organizations are excelling or struggling. Karl emphasizes the urgency of addressing the retirement of the baby boomer generation and the lack of skilled workers entering the workforce. Karl highlights the importance of proactive and predictive maintenance in the face of a shrinking workforce and supply chain disruptions. The speaker notes that AI and IoT can help address these challenges, but only if maintenance solutions are based on best practices and provide extra lead time for planning. Skills gap analysis and failure prevention. 14:54 Scott MacKenzie welcomes listeners to the 31st annual conference of MRP, discussing the importance of skills gap analysis with Karl Hoffower of Failure Prevention Associates. Carl emphasizes the need for skilled individuals to identify gaps and develop a plan to fill them, and Industrial Talk recommends Failure Prevention Associates for their expertise. Finally, get your exclusive free access to the Industrial Academy and a series on “Why You Need To Podcast” for Greater Success in 2024. All links designed for keeping you current in this rapidly changing Industrial Market. Learn! Grow! Enjoy! KARL HOFFOWER'S CONTACT INFORMATION: Personal LinkedIn: https://www.linkedin.com/in/dr-karl-hoffower-dc-crl-28a28315/ Company LinkedIn:
Welcome to IoT Coffee Talk #182 where we have a chat about all things IoT over a cup of coffee or two with some of the industry's leading business minds, thought leaders and technologists in a totally unscripted, organic format. Thanks for joining us. Sit back with a cup of Joe and enjoy the morning banter.In this week's episode, Rob, Leonard, Marc, welcome first-time guest, Pete Bernard of Edgecelsior to jump on Web3 to talk about:* U2 and if The Edge is a pioneer in edge computing? Is he really the edge we have been talking about?* TinyML, who is making traction and is it the future of the AI IoT edge by U2?* Who is winning the new AI PC war that has broken out since Qualcomm announced its new Oryon CPU core based Snapdragon X Series X Elite AI PC processor? Is Apple getting its butt handed to it despite its newly released and available M3 processor family and MacBooks Pros? Will Intel run the table with its Core Ultra, its first line of Meteor Lake processors for AI PCs?* What's going on with RISC-V? Is it the future or is it dead on arrival with the RISC-V International Conference happening this week?* Is software-defined velocity something that the IoT wants or needs?* Is generative AI the answer for modernization of old stuff and making CI/CDs and Agile stuff relevant for IoT?It's a great episode. Check out the whole thing. You will get all you need to survive another week in the world of IoT and greater tech!Thanks for listening to us! Watch episodes at http://iotcoffeetalk.com/. Your hosts include Leonard Lee, Stephanie Atkinson, Marc Pous, David Vasquez, Rob Tiffany, Bill Pugh, Rick Bullotta and special guests. We support Elevate Our Kids to bridge the digital divide by bringing K-12 computing devices and connectivity to support kids' education in under-resourced communities. Please donate.
We are excited to be joined by Aaron Reich and Priyanka Shah. Aaron is the CTO at Avanade, while Priyanka leads their AI/IoT offering for the SEA Region. Priyanka is also the MVP for Microsoft AI. They join us to discuss how LLMs are deployed in organizations.
【CuboAi 雲云科技】 雲云科技成立於 2017 年，由多位擁有科技專業背景的爸媽、人工智慧專家以及兒科醫生組成了 CuboAi 團隊。結合父母的育兒需求與最先進的技術，CuboAi 成為全球第一台搭載 AI 人工智慧的寶寶攝影機，守護寶寶安全、睡眠與健康。CuboAi 的理念是「透過科技創新帶給全天下的父母更安心、貼心且開心的育兒生活」。以台灣為基地，藉由自主研發的產品和軟體服務，讓使用者體驗與品牌承諾能夠高度結合，以建立國際品牌及全球佈局。 【曾志新】 CuboAi 雲云科技創辦人暨董事長，過去在趨勢科技擔任研發總監，有豐富網路安全產品開發經驗。曾經擔任 Furbo 技術長，開發出世界第一名的狗狗攝影機。擁有超過 20 年 AI軟體、IoT、資安領域經驗。 創業六年來，除了帶領雲云科技奪得多項國家級獎項與國際性大獎外，本身也獲選為2022年百大MVP經理人，未來將持續以創新科技，為全球家庭打造更安心的育兒體驗。
In our mid-season finale, Helena Lisachuk – Global IoT Leader and Tim Paridaens – Global Chief IoT Architect wrap up a incredible season by discussing the evolution of business discussions around IoT that they've seen this year. We'll get into the opportunities, missed opportunities and areas to watch out for. Sit back, relax, tune in and discover... (02:37) About Helena and Tim (06:12) What developments and shifts are happening in IoT? (10:20) Changes from last year to this year (14:46) Why are new regulations coming in? What does this mean for IoT business? (23:16) IoT can be like the wild west (26:59) What's next for the gen AI IoT era? (30:00) AI risks (37:25) Long term financial viability of IoT into the future (45:43) Predictions for IoT in 2024! And much more! Thank you to today's episode sponsors... IoT Security Foundation Conference 2023 – the world's longest-running conference dedicated to IoT cybersecurity. Join us this year on 7th November (at IET London or virtually) for an in-depth exploration of AI's future, with insights from experts at Arm and BT Group. Don't miss the chance to network, experience a unique car simulator, and interview with us at The IoT Podcast. See you there! Get your tickets now: https://iotsecurityfoundation.org/conference/ And 5V Tech! Discover how 5V Tech can help you unlock your scaling potential in cutting-edge tech and IoT, here: https://www.weare5vtech.com/ ABOUT THE GUESTS Helena Lisachuk – Global IoT Leader at Deloitte is passionate about cutting-edge technologies and heads the Internet of Things (IoT) practice. She excels in delivering large-scale digital transformation initiatives driven by disruptive technologies. Helena's influence extends to her role on the Program Board for IoT Solutions World Congress, where she shapes the future of IoT technology. Connect with Helena: https://www.linkedin.com/in/helena-lisachuk-128262/ Tim Paridaens, Global Chief IoT Architect at Deloitte, brings over 20 years of expertise in IoT and technology strategy. His specialization lies in helping organizations undergo transformation using connected devices and data, with a particular focus on Connected Logistics, Infrastructures, and Manufacturing. As the Global Chief IoT Architect, Tim leads pioneering projects that harness IoT, AI, and other advanced technologies to deliver cutting-edge solutions. With a deep commitment to using emerging tech for positive change, Tim is enthusiastic about collaboration and knowledge-sharing. Connect with Tim: https://www.linkedin.com/in/timparidaens/ ABOUT DELOITTE Deloitte's IoT Division leads the way in Internet of Things innovation. They specialise in helping organisations harness the power of IoT, transforming business processes and outcomes through connected devices and data. Focused on Connected Logistics, Infrastructures, and Manufacturing, they develop strategies and architectures that drive digital transformation, utilizing AI, cloud computing, and data analytics. Deloitte's IoT Division is a trusted partner for organisations seeking to thrive in an increasingly connected world, with a dedication to innovation and making a positive impact. Found out more about Deloitte IoT: https://www2.deloitte.com/uk/en/pages/innovation/topics/internet-of-things.html SUBSCRIBE TO THE IOT PODCAST ON YOUR FAVOURITE LISTENING PLATFORM: https://linktr.ee/theiotpodcast Sign Up for exclusive email updates: https://theiotpodcast.com/ Contact us to become a guest/partner: https://theiotpodcast.com/contact/ Connect with host Tom White: https://www.linkedin.com/in/tom5values/
Unpacking AI, IOT & Blockchain For Marketers In Africa, In Partnership With MSK | S03E06
Curious about the digital economy? Wondering about the trends in AI, IoT, and blockchain? Eager to understand how these technologies will shape the future? Join us as we delve into an insightful discussion on the digital economy with expert Jason Rowlett. We’ll talk about the latest market trends in AI, IoT, and blockchain and what…
Our guest, Amit Modi, CTO & CISO at Movius, sheds light on the importance of AI, IoT & omni-channel digital engagement to expand secure business communication We discussed the following questions among others. How can businesses strike a balance between automation and human interaction in their communication strategies? How have advancements in AI and IoT technologies transformed the way businesses communicate and engage with their customers? What are the ethical considerations and guidelines that businesses should follow when deploying AI, IoT, and omni-channel digital engagement for communication purposes? and more... If you want to be our guest, or you know some one who would be a great guest on our show, just send your email to info@globalriskconsult.com with a subject line “Global Risk Community Show” and give a brief explanation of what topic you would like to to talk about and we will be in touch with you asap.
#即時分享群 LINE ID: https://lin.ee/AjeWOT2 歡迎加入群組掌握最新資訊 ➤想觀看台股盤後解讀，請加入【Line@】 @007rich 2023.06.29【第四次工業革命 AI 汽車自駕 IoT】 #財富密碼 陳柏宏分析師 --------------------------------------------------------------------------------------------------- #陳柏宏分析師#陳宏#老師#股票#套牢#明牌#操盤#賺錢#投資#融資#顧問#財富密碼#航海王#長榮#財經#理財#買賣#加碼#加權指數#持股#台積電#創意#智原#精材#汽車電子#電動車#網通#wifi#台勝科#神準#立積#tesla#能源#風電#華孚#波若威#解約定存#通膨#升息#存款#投機#生活費#消息#消費#名牌#創業#投顧#分析師#大盤#投顧老師#摩爾#股票隊我走#材料-KY#usb#欣技#長園科#虎門科技#AI#儲能#能源#航太#軍工#觀光#高速運算#伺服器#雲端#蘋果#輝達#nvidia#chatgtp#amd#奇偶#華星光#萬在#廣運#協易機
Industrial Analytics is an AI-IoT startup and offers AI services to optimize the performance and increase the energy efficiency of industrial plants. The AI-based algorithms and digital twin detect anomalies and provide concrete recommendations for action to perform predictive maintenance and optimize processes. The company was founded in 2017 by former employees of the turbomachinery manufacturer MAN ES and is part of the Industrial Power division of the Infineon Group.
Hallo liebe Zuhörer:Innen, Hallo liebe Community,in der aktuellen Episode dürfen wir Ralf Richter bei uns begrüßen. Er ist Microsoft MVP für den Bereich Azure und hat uns etwas über den Einstieg in Azure, aber auch generell zu Azure erzählt.Außerdem haben wir über AI, Open AI, Copilot, sowie seine Community Projekte gesprochen. - Wer sich also mit Azure beschäftigen möchte, findet weiter unten die Links zu ein paar seiner Events.Darüber hinaus haben wir Euch die Links von der M365 Conference in Las Vegas reingepackt. - Darüber reden werden wir aber erst in der nächsten Episode.Und wie immer gilt: viel Spaß mit dieser Folge und wir freuen uns über Euer Feedback!Michael und Thorsten-------------------------------------------------Infos aus der Episode:Ralf Richter - TwitterRalf Richter - LinkedInRalf Richter - Podcast MVP VoicesRalf Richter - Azure Developer CommunityAzure Dev Munich - MeetupGlobal Azure Dev - EventGlobal Azure Dev - Main PageGreenmanifesto - Entwicklung mit nachhaltigem AnsatzMicrosoft BuildCommunication Service ausprobieren: Teil 1Communcation Services ausprobieren: Teil 2M365 Conference Ankündigungen:https://aka.ms/M365/May2/ODSPhttps://aka.ms/M365/May2/SharePointhttps://aka.ms/M365/May2/OneDrivehttps://aka.ms/M365/May2/Listshttps://aka.ms/M365/May2/Streamhttps://aka.ms/M365/May2/Security-------------------------------------------------Link zum Blog findet ihr hier: https://talkm365.netAuf Twitter unter: @TalkM365Twitter Michael: @plemichTwitter Thorsten: @thorpickLink zum YouTube-Kanal: https://link.talkm365.net/YouTubeLink zum Teams UG - Meetup: https://link.talkm365.net/TeamsUGMeetupLink zu Thorstens YouTube-Kanal (Quick-Tipps): Thorsten Pickhan - YouTube-------------------------------------------------Reference-Links:Music Intro/Outro: Vacation - AShamaluevMusic.Music Link: https://soundcloud.com/ashamaluevmusic/vacationMusic Background: Inspirational Corporate Ambient - AShamaluevMusicMusic Link: https://www.patreon.com/ashamaluevmusic-------------------------------------------------
In the podcast, Rajesh focuses on the two main technologies of digitalization, 5G and AI, and how they play an important role in the IIoT industry. Rajesh gives examples and use cases of the technologies and how they will provide a safer, more sustainable work environment.Three decades of successful track record in Digital, Technology, Product, Business, Industry Domain and Organizational leadership including building and transforming world-class multinational organizations, profitable high growth businesses, strategizing and innovating successful software platforms, products & industry rich technology solutions. Wealth of Global leadership working across India, Americas, Europe, Middle East and APAC with World's best organizations like ABB, Oracle, eBay, PayPal, Danfoss, Siemens & Rolta. Successfully transformed businesses to IP & Platform led recurring and highly profitable growth SaaS businesses. Transformed organizations to move up in the digital transformation & Industry 4.0 value chain.ABB is a technology leader in electrification and automation, enabling a more sustainable and resource-efficient future. The company's solutions connect engineering know-how and software to optimize how things are manufactured, moved, powered and operated. Building on more than 130 years of excellence, ABB's 105,000 employees are committed to driving innovations that accelerate industrial transformation.xn.
Sandeep begins by introducing himself, the company, and the backstory of the company. He then gives a high-level overview of the current state of AI and the leading use cases of adoption. Sandeep then focuses on the importance of AI and its ability to protect workers' safety. Ryan and Sandeep wrap up this discussion with a conversation around challenges to adoption and advice for companies looking to integrate AI into their business.Sandeep Pandya is CEO of Everguard.ai leading the way in the incorporation of wearables with computer vision, machine learning, and AI to make the world's industrial environments safer and more sustainable. Formed in 2019, Everguard.ai stemmed from Pandya's belief that the world is experiencing a technological renaissance and that the nexus of AI, digital connectivity, and information sharing will fundamentally reshape and improve how people and their communities sustain each other. Pandya is a technology veteran whose experience spans product introductions and innovations in semiconductors, connected devices, wireless infrastructure, cloud services, and novel AI/CV applications. His leadership has helped organizations of all sizes establish high-growth markets globally.Everguard's mission is to protect companies' most important assets — their people — with the first proactive technology solution dedicated to industrial sustainability. They're revolutionizing how heavy industry approaches worker safety, health, and welfare using AI technology to support companies in their missions to fulfill environmental, social, and governance (ESG) initiatives. Everguard.ai are the technologists behind Worker-Centric AI™, the world's first artificial intelligence platform to create a conscious environment powered by sensor fusion that senses distress and danger long before a human can. Worker-Centric AI™ ties together various industrial sensor technologies using sensor fusion, edge computing, and AI algorithms to enable them to perform in ways not possible independently. Everguard's enterprise solution, Sentri360®, utilizes Worker-Centric AI™ technology to create a Sentri Zone™ with workers at the center, continuously protecting them in the most complex industrial environments.
The Informa Tech AI/IoT/Quantum Computing conference landed in Austin November 2nd and 3rd. Austin Next was there, listening, learning, and supporting the conference. With speakers ranging from chess champions and NFL quarterbacks to Austin's Mayor and UT's Athletic Director, everyone was here to talk and learn about changes and the intersections in the IoT, quantum computing and AI worlds. In the midst of a busy conference, we snagged Jenalea Howell, the VP AI & IoT Markets at Informa Tech for a discussion of conferences, Austin, and what it's like to return home. What's next Austin? Episode LinksJenalea HowellThe AI Summit AustinSponsorsCheck out all of the sponsors mentioned hereAustin Next LinksAustin Next WebsiteAustin Next TwitterAustin Next LinkedInMichael Scharf LinkedInJason Scharf LinkedInPodcast Production Services by EveryWord MediaOur music is “Tech Talk” by Kevin MacLeod. Licensed under Creative Commons 4.0 License
第４次産業革命、AI、IoT、デジタル・トランスフォーメーション、次々と新しい概念やコンセプトが紹介されています。ところが、2017年の通商産業省の資料から、もはや社会人になって、学び続けている人は、決して多くはないという実態があることを前回ご紹介しました。 さらには、2018年の総務省の調査研究から、学び直しや職業訓練の必要性の認識は、年齢が高くなるほど低くなるとのことです。つまり、20代の社会人の54パーセントが、学びの必要性を認識している一方で、50代になるとわずか21パーセントに下がります。定年までに逃げ切れるとの認識でしょうか。 残念ながらまだまだ学び直しの重要性が、浸透していないともいえます。一方で、リカレント教育を受けることは、社会のニーズに応えるだけではなく、自分の能力を高めることで、新たな機会を得ることにもなります。 もちろんビジネススクール、ロースクール、会計学大学院、公共政策大学院などの社会人大学院で学ぶことは、専門性を高めることになり、それがその分野でのキャリアの可能性を拓くことになります。 今日はあえて女性の就労に絞って、リカレント教育の重要性について、お話ししたいと思います。 日本の労働力人口の約７千万人のうち、女性が占める割合はコロナ前の2018年の時点で、 44.4パーセントでした。つまり日本の労働力の半数近くは、女性が担っているということになります。 ところが女性の56パーセントは非正規雇用であり、これは男性の22.8パーセントに比べて圧倒的に高いと言えます。正社員で就労している人は、半数にも満たないということになります。 以前は20代に社会人として働いた女性が、30代になると結婚、出産、育児のために退職して、後に復帰するということから、M字カーブということが言われていましたが、最近の状況はさらに難しいようです。 もちろん育児や家庭との両立から、勤務時間や勤務場所の制約を受けるということはあるかと思いますが、少子高齢化による労働力人口の不足が言われている中で、能力のある女性が補助職や非正規雇用しか機会を得られないのは、あまりにももったいないことです。 だからこそ学び直しのリカレント教育を受けることで、より企業に求められる人材として、正規雇用されることは、本人にとっても企業にとっても、重要なことだと言えます。 厚生労働省を中心に、具体的に多くのプログラムが提供されていますが、まだまだ十分だとはいえません。求められる職種にマッチした技術や能力開発のプログラムや受講のしやすさにもまだ改善の余地はあるようです。 これからは少子化で学生数が減少することが避けられない中で、教育機関が積極的にこの分野に取り組んでいくことは、学校経営においても重要なことだと思います。 またそのためには、個人も企業も学び直しへの投資を積極的に考えていただく必要があります。 リカレント教育の提供については、現時点で十分とは言えませんが、これに積極的に取り組むことは、質の高い労働力の確保、産業構造の転換、企業の競争力の強化から、個人の就労促進、新たなビジネスの創出など、多くの可能性が期待できます。 それが、自らビジネススクールで学ぶ人たちが、リカレント教育の重要性について十分に認識しながら、論文にまとめたのだと思います。 今日のまとめです。 前回に続いて、リカレント教育によって社会人が学び直しをすることの重要性についてお話ししました。さまざまなライフステージを経て、なかなか正規雇用を得られない女性が、 リカレント教育で技術や能力を高めて就労することは、多くの問題の解決にも繋がると思います。
Alex begins by introducing himself and his company before talking about the limitations of GPS. He then describes how AI and computer vision works together to resolve the limitations. The conversation then turns more high-level with discussion around the future of computer vision and the possibility of moving into the consumer space. Alex Nesic is a passionate evangelist for shared micromobility and LEVs in general, promoting their role in a sustainable urban transportation ecosystem. Alex is co-founder of Drover AI, pioneering the use of AI-powered computer vision for micromobility. Drover is his 3rd company in the micromobility space - Alex previously founded CLEVR Mobility and was an executive at Immotor. Drover AI is pioneering the use of AI-powered computer vision on IoT devices used in the micromobility industry. Their PathPilot tech is used by our customers to enhance their regulatory compliance while also helping them optimize operational efficiency. PathPilot uses a camera and Drover's AI algorithm to detect in real-time whether a scooter is traveling on a street, sidewalk, or bike lane, enabling control of the vehicle's speed in each area. At the end of rides, PathPilot also performs parking validation, helping improve the proper parking outcome cities desire and keeping the right-of-way unencumbered.
Join Nancy Ridge Founder of Ridge Innovative and Skyler Stewart, leader of AI+IoT of Epic iO, for a captivating conversation around Cultivating an Innovative Mindset. Nancy is honored to introduce Skyler Stewart. Skyler has been successful for the last 19+ years in building national and global channel partner sales organizations in the wireline, wireless, Voice, Data, and Cloud industries. He has served in various channel sales and executive leadership roles for successful start-ups that included such notable telecom companies as Stewart Electric & Communications, Mountain Telecommunications Inc. now Eschelon Telecom and Integra Telecom. Prior to that, he served as Channel Chief at Telesphere overseeing all Indirect Channel Sales nationally, and was instrumental in the expansion of the Indirect Channel, which was then acquired by Vonage Business in 2015. Currently, he serves as the head of AI+IoT for Epic iO leading a team of experts making a safer, smarter, & more connected world for smart cities across the country. In addition to being the recipient of numerous performance and President's Club Awards during his career, Skyler specializes in customizing solutions for large enterprise customers seeking a superior solution, ranging from Security, AI, IoT, UCaaS, CCaaS, CPaaS, SDWan, and various other SaaS services. While away from the office, Skyler enjoys spending time with his wife and two boys while seeking ways to fulfill his need for speed. Prior to his professional telecom career, Skyler raced motocross professional around the globe. Index: 00:52 – Introduction of Skyler Stewart and his Background 03:25 – Cultivating an Innovative Mindset; Definition of IoT 06:00 – Solving Business Problems; Core Pillars 07:58 – How can we put the concept of billions of connections and the metadata into our lives? 09:57 – Seeing applications everywhere; projected rate of adoption 13:27 – Countering resistance; Profitability 15:15 – The mindset and seeing the applications everywhere 18:49 – Solving for customer experience and reducing costs 21:15 – AI notifications immediately 23:19 – Customer and Employee Experience; Culture of Caring 25:28 – What innovation would you most like to see gain adoption? Helpful Links – Epic iO – https://epicio.com/ If you enjoyed this podcast, be sure to subscribe to us on Soundcloud for more episodes and write us a review! Share this episode with anyone interested in unconventional ideas. Do you have questions, comments, insight on the topics discussed today? Send an email to support@ridgeinnovative.com with Subject: “Culture of Innovation S1 E14”! Follow Us On: iTunes: https://podcasts.apple.com/us/podcast/culture-of-innovation/id1537650821 Website: https://ridgeinnovative.com Twitter: https://twitter.com/nancy_ridge LinkedIn: https://www.linkedin.com/in/nancy-ridge-085988a YouTube: https://www.youtube.com/channel/UCjEMawW6iUoDcQDjvtKTBzA Soundcloud: https://soundcloud.com/culture-of-innovation Release Date: 24 May 2022
S1E8 – The Retail Avengers vs The Trials of Digital Transformation & Innovation, Part 2Welcome to Season 1, Episode 8 of The Retail Razor Show!For episode 8 we're letting the Retail Avengers fly solo for Part 2 of our Digital Transformation & Innovation series and dig into understanding three key transformative technologies for retail – computer vision, Internet of Things, and 5G. Why are these so important for retailers, and how can retailers best use these technologies? Shish Shridhar and Trevor Sumner join our hosts for this lively discussion on Clubhouse!And big news! Our podcast is holding strong on the Feedspot Top 60 Retail podcasts list! We're sitting steady at #21, so please do give us a 5-star review in Apple Podcasts if you like the show! With your help, we'll be on our way to a Top 10 spot! Check it out here: https://blog.feedspot.com/retail_podcasts/I'm your host, Ricardo Belmar, a RETHINK Retail Top Retail Influencer for 2022 & 2021, RIS News Top Movers and Shakers in Retail for 2021, advisory council member at George Mason University's Center for Retail Transformation, and lead partner marketing advisor for retail & consumer goods at Microsoft.And I'm your co-host, Casey Golden, CEO of Luxlock and slayer of retail frankenstacks!Together, we're your guides on the retail transformation journey. Whether you're thinking digital and online, mobile, or brick & mortar stores, we'll help you cut through the clutter!The Retail Razor ShowFollow us on Twitter: https://bit.ly/TwRRazorConnect with us on LinkedIn: https://bit.ly/LI-RRazorJoin our club on Clubhouse: http://bit.ly/RRazorClubListen to us on Callin: https://bit.ly/RRCallinSubscribe on YouTube: https://bit.ly/RRShowYouTubeSubscribe on Apple Podcasts: https://bit.ly/RetailRazorShowRetail Razor Show Episode Page: https://bit.ly/RRShowPodHost → Ricardo Belmar,Follow on Twitter - https://bit.ly/twRBelmarConnect on LinkedIn - https://bit.ly/LIRBelmarRead my comments on RetailWire - https://bit.ly/RWRBelmarCo-host → Casey Golden,Follow on Twitter - https://bit.ly/twCaseyConnect on LinkedIn - https://bit.ly/LICaseyRead my comments on RetailWire - https://bit.ly/RWCaseyTRANSCRIPTS1E8 The Retail Avengers & The Trials of DX & Innovation, Part 2[00:00:20] Introduction[00:00:20] Ricardo Belmar: Hello. Good morning. Good afternoon. And good evening, whatever time of day you're listening. Welcome to season one episode eight of the Retail Razor Show. I'm your host, Ricardo Belmar a RETHINK Retail top retail influencer and lead partner marketing advisor for retail and consumer goods at Microsoft.[00:00:36] Casey Golden: And I'm your co-host, Casey Golden, CEO of Luxlock. Obsessed with the relationship between a brand and a customer. I've spent my career on the fashion side and supply chain technology side of the business. Now I slay franken-stacks![00:00:50] Ricardo Belmar: Well, this week, we are circling back to our digital transformation and innovation topic. For part two of this discussion, we had two other members of our Retail Avengers team join us both this time, Shish Sridhar and Trevor Sumner. [00:01:05] Casey Golden: I really enjoyed our conversation. We dive into three super interesting transformation and innovation topics that we didn't get into in part one. Last time we dug into how retailers are embracing digital transformation and innovation and where that innovation comes from, whether it's inside or outside of their business.[00:01:26] Ricardo Belmar: Yeah. And that really set the stage for us by focusing on why today's retail, winners are winners and why others are well, not so much. [00:01:34] Casey Golden: Right. And maybe most importantly we discussed how much larger retailers and brands budgets are to invest in innovation, which is critical and frankly, new territory for a lot of brands. I don't think a lot of people realize how little investment has gone in to retail technology [00:01:54] Ricardo Belmar: Yeah, absolutely. Absolutely. I mean, it, it honestly, it's, this feels like a once in a generation change for most retail businesses to honestly, a really positive change to be sure where we're finally seeing the level of investment that should have been there sooner. And again the people we see winning today, why are they winning?[00:02:12] Because they started that increased investments so much sooner. So, you know, for listeners who didn't catch that part one discussion that we're, we're giving you the quick 50 cent tour right now. Go back, listen to season one, episode six, get caught up and then come back here for the deep dive into the three new topics. [00:02:29] Casey Golden: Yeah, open your pocket book and we'll be here waiting for you.[00:02:33] Ricardo Belmar: Totally. Totally. We want to be sure and get those extra downloads on the pod too. So be sure and give that one a listen and come back. And if you missed any other episodes, boy, this is a great time to get caught up too. So you don't miss anything. [00:02:44] Casey Golden: Maybe we should let everyone know what the deep dive topics are for this episode.[00:02:50] Ricardo Belmar: I suppose it's best not to keep it a surprise, right? [00:02:53] Casey Golden: Not unless it's a handbag or a plane ticket, but okay. So this way we go deep on three amazing topics, 5g, beyond a marketing campaign, internet of things also known as IOT. And of course Trevor's favorite computer vision.[00:03:12] Ricardo Belmar: Yep. That's right. I am excited and just dying with anticipation. So let's jump into the clubhouse discussion and then we'll come back, wrap things up. Maybe we'll give some extra thoughts on those topics that we didn't get to in the clubhouse session[00:03:25] Casey Golden: Sounds good. Ricardo. Let's listen to the retail Avengers versus the trials of digital transformation and innovation. [00:03:36] Clubhouse Session[00:03:36] Ricardo Belmar: welcome everyone to the retail razor room today. Thanks for joining us. And we're going to talk about the future of digital transformation and innovation. Zeroing in on three areas of interest, 5g, internet of things, and computer vision. I'm going to let the other speakers introduce themselves here.[00:03:53] Casey, why don't you kick us off? [00:03:54] Casey Golden: Hi there. Casey golden, I'm the founder of Lux lock a retail experience platform. And I've spent a career in the fashion and enterprise supply chain side of the business. Pretty much you name it. I've had to deal with the technology that I'm supposed to use to deal with it.[00:04:14] So I'm looking forward to always being a part of our digital transformation conversations. There's a lot going on and like to contribute where I can. [00:04:22] Ricardo Belmar: All right. Thanks Casey. Shish. [00:04:24] Shish Shridhar: Good afternoon. I'm the retail lead with Microsoft for startups and I've worked with retail tech, startups, B2B retail, tech startups, and building out a portfolio of innovative, disruptive startups being in Microsoft for 24 years, really working in the retail industry for about 15 of those 24.[00:04:45] And I'm also focused on AI IOT. So this conversation today is very interesting for me and looking forward to it. Thank you. [00:04:55] Ricardo Belmar: All right, Trevor. [00:04:56] Trevor Sumner: Hey everybody. My name is Trevor Sumner. I'm the CEO at perch. We do interactive retail displays and touchscreens at retail.[00:05:03] What makes them cool is we use computer vision to detect what products people are touching at the shelf and respond with digital media, the moment that they touch it. So it's like minority report really interactive and kind of contextual commerce. And so really excited about this topic today.[00:05:22] Ricardo Belmar: All right. And I'm Ricardo Belmar host of the retail razor club here on clubhouse. Also have spent the better part of the last couple of decades in the retail tech space, working with retailers, advising them on how to make the best investments in retail technology. Currently at Microsoft as a senior partner marketing advisor for retail.[00:05:42] And let's go ahead and get things started. So quick summary on last week's session, this is sort of a continuation of our last room here. Where last week we talked more about broadly where digital transformation is headed, how that's fueling innovation in retail and retail tech. We talked about how retailers that are very much embracing the idea of digital transformation and digital innovation are the ones who are succeeding and winning.[00:06:10] There's no doubt it continues to hold true that the retailers that wisely invest in the right technologies in ways that support their business and customers, not just for the sake of technology are the ones doing the best.[00:06:23] And we also talked about where new investments are going to be coming from in various different areas in retail tech and fuel retail spend. Where IT groups and retailers are going to focus on that and which groups outside of IT even were going to look at different investment areas. And then we also talked a little bit about where retail tech startups are coming from, how they're seeking investment.[00:06:45] And the fact that retailers themselves are starting to take on investment in those tech startups and how that's going to have an impact over the next few years in retail. So with that this week, we're going to narrow in on a few key areas that we touched on last week, but that we have previously talked a little bit about, but not really dove in deeply yet in, in this group.[00:07:06] Computer Vision[00:07:06] Ricardo Belmar: And since Trevor, you mentioned it, at the end there around computer vision. Why don't we start with that one? And let me just ask us some somewhat open question to the other speakers here on the panel, where do you see the most impact today with computer vision in retail, and where do you think that impact is going to be reflected and say by 2025?[00:07:26] And how do you think it's going to change? Let's kick off the discussion with that?[00:07:29] Trevor Sumner: I think, I think, you know, generally like the most like most technologies, it starts with basics, right? And so I think computer vision is really interesting in, in being able to understand the physical world and translate it into information that can be leveraged, optimized in interesting ways.[00:07:49] And right now I think that a majority of it is looking at planagram enforcement, it's looking for out of stocks on inventory, things where they're cost centers to where there can be, basic optimizations to make things more efficient. Some of it is in, warehousing and in the back office inventory management there.[00:08:11] But just looking at what's what's on the shelves, what's not on the shelves knowing what needs to be refreshed, et cetera. I advise a company called cooler group that does a little cameras that are attached into cooler doors that can take a look at what's in it because often, the coolers at a seven 11 are actually refreshed by the brand like a Pepsi or Coke.[00:08:30] And so now they know which stores they actually have to go to and which ones they don't and can make their operations much more efficient. So that's where I think it starts, there are some basic, retail, analytics and retail next, and other people who are looking at traffic flow.[00:08:43] But it's really basic. And I think it's going to get really interesting when you get granular down to the product level, but that's where I think kind of the base starting is. And we can talk a little bit about some of the exciting areas of where it's going.[00:08:54] Shish Shridhar: I can think from a vision perspective. Yeah. Trevor covered everything that's going on. And the use cases are growing all the time. I've seen some interesting use cases as well when it comes to vision. So the most common is something that Trevor pointed out, which is the on-shelf availability, the planogramming, and, and really determining where, whether it is in compliance.[00:09:19] And then. The main part of what Travis is doing, which is engaging the customer through, through video. And there's another company that I work with called cooler screens. There's also presenting media content on the cooler doors based on who is engaging with it. And all of that. In addition to that, the other interesting scenarios that I've seen popping up in addition to loss prevention is fresh food where video is being used to determine the freshness of food though there's another sensor at play that I've seen being used in addition to video and sort of augmented, and those are smell sensors. There is a company I'm working with out of Canada called Stratusint, and that is using smell sensors, and they train their models for different types of food for greens and others, to really determine what's the smell like when it is about to get spoiled.[00:10:14] And then they hook it up to dynamic pricing system so that when it's fresh food, they can start dropping the price and driving promotions and things like that. So that there is a reduction of food wastage. So that's sort of an interesting use case that combines video and smell sensing.[00:10:32] The other aspect of course, is in, within the store itself, that behavioral analysis of, of the customers where exactly are people moving around, which are the busy parts of the store at what time of day, and is a busy what's the demographics, is it you know, 20 year olds, 20 year old males females, it, it analyzes that information to get a better understanding of the store layout and, and where exactly the fast moving items are conversion as well, based on where people go to.[00:11:04] And is there a conversion in those areas? So there's some interesting insights that, that companies are driving, just using video analytics which is super interesting. [00:11:14] Trevor Sumner: Yeah. That's a common one with looking at the demographics for video delivery and cooler screens.[00:11:19] Which raised, I think just raised $80 million is doing some cool things and, a bunch of companies quividi and mobilize and others who are basically using demographics to determine , what to put on digital screens. But to your point, that the other way this is going is, you know, a lot of retailers are looking at their retail spaces as advertising networks and putting up large digital signage networks and they're selling that right now on a here's what my traffic is at this specific time in this type of store by demographics. So you can target by demographic, but where they're missing right now, and it's having a good conversation about this is that's not how media people want to buy on a CPM or, Hey, you want to reach, you know, 30 to 35 year olds or whatever it is that they want to know more kind of on the cost per interaction and verified impression side.[00:12:09] And so that's a little bit of the frontier about, where it is right now, which is overall kind of demographics and CPM detection to be able to do much more kind of verified interactivity, verified engagement and kind of more CPC metrics. And I think that's gonna once you get there, you will see, like, if you look at it, 1% of digital media spend happens where 85% of transactions occur in store.[00:12:39] So, you know, like that is going to be a major shift when they can crack that code and provide people, the data attribution that they need. [00:12:46] Shish Shridhar: Yep. And the, the other scenario that I failed to mention is the live streaming aspect, which is gaining a lot of traction. And there's multiple scenarios where livestream shopping is becoming a big part of brick and mortar retail where, it's either the store associates or personal shoppers, really driving that engagement and enabling the video to be shoppable.[00:13:12] And that's again, another really interesting area where edge AI comes in, where the video streams you can detect, what products they're looking at and be able to based on, on what it is detecting. You're able to add it to your cart and, be able to buy directly from video. And I think that's a really interesting area that's growing s growing [00:13:31] Ricardo Belmar: so we've got a lot of good examples there from shoppable video to traffic analytics. I like the point Trevor raised about turning your store and treating it like media as relates to digital signage networks and how we can leverage video analytics and understanding the demographics of customers to know how to target content.[00:13:52] I think that's something that will be really interesting as that develops. And then we also had an example, which was actually one of the first ones I was thinking of as well, that Shish brought up around analyzing store shelves particularly in, in grocery where I've seen a number of examples lately.[00:14:08] Oftentimes coupled with robotics, which I didn't list that as one of the key elements here, but we've seen a lot of use cases for grocery, with robotics or the robot leveraging computer vision and shelf analysis. Well, moving down the aisle to understand where they're empty spots that need to be replenished quickly and kind of helping to alleviate some of the more tedious functions in running the store and having associates just check for things that are running low and restocking, but now having some added intelligence in advance to know where exactly do I need to replenish things. So there, there are things we can see coming that help both from a store operations side of the house to just general experience factors around the signage and around content that's being placed in front of customers, as well as analyzing effectiveness of that through computer vision from video analytics and video analytics, I think is also interesting because I've seen that that's been around for a few years now.[00:15:02] I think even before we started really associating that with computer vision, a number of the analytics vendors started promoting video analytics, verge of basic traffic analysis in your store, understanding hot zones in the store and looking at those traffic patterns to kind of help you make decisions around where to place products in the store, where you might want to make changes based on what's most attractive.[00:15:24] And what's the most common path through the store. In fact cause you to rearrange fixtures in the store to accommodate that. So I think there are a number of really interesting use cases there. I want to come back to a couple of areas here that I think were the most interesting. One is specific to the digital signage and content placement that you mentioned Trevor.[00:15:44] So I I've been, dealing with digital signage for a long time and lots of different flavors. And I always remember, we'd have years where people would declare it. This is going to be the year of digital signage where every retail store is going to start peppering their, their fixtures and displays and walls with screens to get so much available content that's out there and leverage that in the store at the place of purchase.[00:16:08] And I'll say one of the things that I always found was the most challenging for the majority of retailers in that scenario was actually getting the content for the store, which maybe sounds a little counterintuitive, but I found that with most retailers, the issue was refreshing the content and making enough of a volume of content available so that if you did want to take advantage of the more clever things where you rely on let's say you want to rely on the video analytics to tell you which content to place on what screen, based on the demographics.[00:16:39] So, or customer information you have of who's actually in your store. It takes a lot of content to be available. Even if that content may not get shown on the screen, you need to have access to a significant enough amount of content to make this interesting and to get the right ROI on it. And in the past my experience, and I'd be curious, Trevor if you've seen similar or Shish if, you've seen similar as well. You know, a lot of retailers just weren't prepared for that volume of content. I think there was an assumption that if I had content on my YouTube channel, I just reuse that. Or if I had advertising content that I'd use for TV spots or other out-of-home video that I leveraged that, but it might not necessarily be the right content at the right moment in that customer journey when people are walking past the screen.[00:17:24] Shish Shridhar: So one of the areas that I'm kind of seeing it in a lot of uptake and interest in is really retailers trying to monetize that opportunity where shelf edge, for example, the shelf edge video that Kroger experimented with some time ago. And there's other companies like SES imagotag , that's also working on where, what they're really doing is they have a platform in the background that enabled suppliers to bid based on the insights that is being gathered in the store the insights of behavioral data where exactly do people dwell?[00:18:00] What are they looking at? What time of day what's the demographics and using that information. And feeding it back to suppliers so that they can bid for specific content to be displayed in specific areas at specific times. I think that is the area that there is a lot of movement in, and a lot of retailers are looking at this as an opportunity to monetize and have suppliers really use their content and push it down.[00:18:30] And then this is based on, the insights that is gathered in the store. And that's something that I I'm seeing a lot of. And I think that's going to grow. [00:18:38] Thank you. [00:18:39] Trevor Sumner: Yeah. think it's interesting because traditionally, this has been hard, like a lot of digital signage systems. You were supposed to go with a USB and update the content and that's crazy.[00:18:49] Right. And so internet connectivity is starting to be solved. You have Walgreens installing 5g in 9,000 stores. You know, we're seeing store wifi networks being updated and to, to Shish's' point that, we're moving towards a programmatic model. And you know, the part of the problem was they didn't go big enough.[00:19:09] Right. And so you didn't have the network of inventory, it's like, I think of these programmatic networks is like banner ad networks for a variety of reasons. I think this, type of programmatic buys meant to be, you know, interruptive media and much more promotional based like a banner ad.[00:19:25] But you need a big network so that you have people to bid on it, and then you need this attribution, which they also didn't have. They said, okay, well, I've got this many people in store. Why don't you advertise it to them? Like, well, what are the demographics? Okay. I lit up the advertising, what are my what's my sales stuff look like, oh, you won't share sales data with me.[00:19:42] Like, how am I supposed to buy this stuff? Went on Facebook or Instagram or Google. I can measure exactly demographics, target very finely, look at clicks, which had conversion rates and have all that data. I can't. Yeah, go back to a world where, I know my advertising is working on half, but I don't know which half kind of thing.[00:20:01] So I think that that's fundamentally changing. And I think underlying that is that kind of conductivity and people making big budgets. Like I think, you know, I was talking to somebody that, that like Kroger Kroger is hiring like 60 ad salespeople. So if you're asking me like, when is that happening?[00:20:19] It's this world happening it's happening right now. Right. That Kroger's got this, you know, side company called 84 51 doing analytics video, that kind of stuff. Walmarts media network is now extending into store CVS put out an RFP to you know, 500, 800 stores with huge digital signage networks.[00:20:38] So I think it's happening now. And, you know, over the course of the next year, you're going to see this because. It's a huge opportunity. Again, you know, only 1% of digital media spend is happens in store where 85% of transactions occur. I just think retailers need to continue to evolve their offerings, share data, so that you can look at demographic targeting, verifying interaction, some of the stuff that cooler screens as doing, and then also provide sales data.[00:21:08] Like if you spent, what is my return on ad spend? Like, you need to answer that question or you're not going to get the ad dollars. And if you expect it just to come from trade dollars, I think you're missing out on the pie of, of, of where the media spend is. [00:21:21] Casey Golden: I completely agree. I really see a lot of this democratizing data and relief.[00:21:29] A lot of the handcuffs that have been on it. I think it's going to be shared much more freely because it's going to be easier to get. And you're either a good partner or you're not. [00:21:39] Ricardo Belmar: Yeah, I agree. I think there's a key point there about being a good partner. If you think about what the brands for the products that you have in the store are used to experiencing, I think you've hit on the right point there where those brands are used to having access to that data.[00:21:53] So they can calculate that return on ad spend. They know exactly whether this particular ad spend was the one that helped you make a denser and make, make. On purchases. They want to know that they don't want to just take, essentially take it on, on faith that yeah. I spent this money with you as a retailer and you showed an increase in sales, but do I even really know if it was sales that I care about because it was my product versus others in the category.[00:22:17] I think that's important to have the granularity that you can talk back to your partners and share that information with them is going to be critical. And that's, what's going to help these things grow and expand. I would say that if we kind of look out a few years into this, what does, what does it look like?[00:22:33] You know, you have a combination of much more intelligence around signage for content display, but it beyond just signage. I think if we think of computer vision and this maybe will help us kind of shift into a discussion on a more internet of things, type of things more of a. Three-dimensional capability, which I know Trevor's going to jump in here and tell me more about in a moment, but you know, the ability to actually interact with the merchandise in a way that also triggers new content on surrounding displays and tandem between sensors and computer vision, all helping to improve that experience for the customer.[00:23:08] But at the same time generating the kind of data that brands are expecting to see for those products that they might get in other mediums, like an social, for example, where, you know, they'll know things, basic things like click-throughs I'll know, impressions, they'll know, viewing Tom, if it was a video, if you have a content that's going in a store and it's, you have multiple products in the category and a display case, of course, each individual brand is going to want to know, well, which product did the customer stand there looking at the longest? Was it mine? Was it a competitive product and the category? Which one did they pick up? How long did they hold it, did that. Was that was that followed by a sale. Those are the kinds of data points they're going to want to know which in other digital marketing mediums, you know, all of this data is there today.[00:23:52] Internet of Things[00:23:52] Ricardo Belmar: And it's been missing, in that store format. And these are areas that, there's so much room to free that data and make it more accessible to both the retailer and the brands to act on. I think there's, there's a significant, powerful capability that that's coming there and you can start to see it now, but I think we're going to see this much more ubiquitously in the years to come.[00:24:11] So let's take advantage of this and kind of shift a little bit more into things like sensors and other internet of things. A couple of the examples we talked about have already touched on this. I'm going to circle back to grocery cause that's one of my favorite topics here and examples with shelf sensors that help you understand when you need to replenish that shelf.[00:24:31] Okay. Sensors that help you understand the temperature in your cooler cases? You know, my, one of my favorite examples are grocers who are leveraging these sensors and coolers, and then having robotics go up and down the aisle and capture the, those data points, send them out so that we don't need to waste any employee's time with having to run around with the temperature sensor to actually check those times.[00:24:53] You can do thousands of these temp checks throughout the day, and know exactly where you may have a problem coming up. You know, exactly if you're going to need maintenance, you know, exactly. If it was going to be an issue with product safety without having to ask people to repeatedly, go out there and take on this tedious task.[00:25:08] So there's operational benefits of sensor type devices like this. Then there are things that are more experience driven and display cases shelf counts. We've heard a couple of these examples. Shish, Trevor you've both mentioned some. When it comes to leveraging the data generated by these sensors, I can see an example where, store associates who are engaged with the customer in a more personal one-on-one experience might be able to leverage data, being generated by sensors throughout the store. So that when someone says, you know, do we have something it's immediately available to them? And they know exactly where it is in the store, for example, without having to search or find it.[00:25:46] We've seen some past examples of places where a customer in a fitting room, for example, realizes, oh, I need a different size of this particular merchandise. I have to wait until I talk to someone that, to tell them that I need help finding that. But if you have the right sensors in the fitting room and the right tags on the merchandise, you know exactly what merchandise is there, and you can offer an experience to the customer to, for example, tap on a screen or tap on their own device that sends a message to someone else in the store that says exactly what it is they need.[00:26:13] And they can just bring it over to them. And I think that would bring a new level of in store personalization for that, that we've seen examples of this, but it hasn't quite gone mainstream. And I think that's something that's yet to come. But , I'll put it out to everybody else on the panel or some other examples where you see this area of IOT and then sensor technology, helping to improve that in store experience.[00:26:35] Shish Shridhar: A couple of things that I, I I'm fascinated about is also the sensors driving automation. And one of them is, you know, the sensors that are detecting the shelves looking at availability of products or lack of availability of products, and then kicking off a process either as a notification to store associates, to replenish or kicking off a reorder process in the back end.[00:27:00] So those kinds of automations are interesting. In addition, also video analytics that notices a spill in a particular aisle then creates a task automatically for a store associate or an employee to be able to, to be aware of what's going on in the store. Whether it is assistance needed for a customer based on behavioral data, whether it is detecting a potential fraud and it's it's notifying people.[00:27:29] So that kind of an automation is, is kind of fascinating where the sensors, the noxious detecting information, but it kicking off processes and book flows in the background. And, and that's an interesting area that, that, that is happening. The other part of it is the, the range of senses. As I mentioned earlier, where for us aunts on shelf availability, there's weight sensors, there's video analytics.[00:27:56] And then there is other kinds of sensing as well to detect whether with a product is going bad. Like for example, I mentioned smell sensors. So those are getting to be interesting as well, where there's a lot of sensors in place for detecting what's going on in store. The, the other one that I think is fascinating is sensors that bring in the experiences or what happens online into the store.[00:28:24] A good example of that is retargeting where as a shopper may have done a search online using their account, gone to, you know, the online store and then done a search picked a product, but not actually bought it. Then when they walk into the store with a mobile device, it automatically detects that they've walked in and could potentially do a retarget or promo and so on.[00:28:49] It also can act on dwell times. It knows that I have dwelled in front of a product. It indicates that I've got interested in the product, but I've not bought the product so that information can be acted on as well. When in the store or online that retargeting from store to online. And the other way around is sort of interesting areas that, that sensors come into play.[00:29:13] Thank you.[00:29:17] Trevor Sumner: Yeah. And I think as you look towards the future, right now, people have been talking about facial recognition as part of that identity closed, looping the identity from online to in store. And so, you know, we'll see how far we go down that and some of the privacy concerns or whether we'll tolerate these things, but that's why I thought, the whole face scan technology for payments was really interesting is because, you know, that's basically creating that facial ID library, which can then be used throughout the store. So I think some of that stuff, as you look at it is really a Trojan horse. And you know, one of the things I look at with all of these is just like, who is doing these clever things to capture data for computer vision. So when, for example, like we talked a little bit about identifying products from pictures, so you can do or video, so you can do social selling, right?[00:30:04] So live shoppable videos. Well, where do you get the product imagery, right? Because you can hold the product and lots of different ways in a video, et cetera, et cetera. Well, what target does is, you know, during the, in the checkout counter when you scan the product, it has, it has cameras.[00:30:19] And so you, you, you, you know, scan the product at lots of different angles, you know, just as people. And they take pictures of it. And then when they get the UPC code that they say, okay, all right, great. This is pro products to XYZ, 12 ounce that that's at the top and they have, you know, 50, a hundred pictures of that product, every scan.[00:30:39] And so they have an immense fiber library of images of a product in every different direction. And it's a clever way to build a product recognition database. Right. And so, you know, at the same way that facial scanning for payment is a clever way to create facial identity, you know, a database. And so then when I look at all these technologies that are being adopted and when I think about Walmart giving away, you know, 700,000 devices to, to, to their employees, I always think, okay, what new access to data are these guys building and leveraging for the future.[00:31:16] Ricardo Belmar: Yeah, that's a good point about the, as I like to think of it, the volume of data that we're now generating by using these technologies and what are we going to do with that data, who's going to get access to it. And how will they be able to take advantage of it in a, in a positive way? [00:31:30] Casey Golden: think a lot of the computer vision and these types of technologies going in store, we'll be able to fill in a lot of gaps and add context to digital data that we've been sitting on.[00:31:42] It'll be a lot easier to understand unconventional a recommendation like building out unconventional recommendation engines and really understanding how people are really shopping in store to improve the way that items are merchandised and assorted or even planned for online.[00:32:05] Ricardo Belmar: Yeah. That's another good point on the data aspects of it as well. Let me go back to, you know, again, so keeping this in the context of IOT and sensors, that we also just talked about computer vision, you know, the data piece reflects on all of these, especially around the volume of data, as well as your, where it's being used, how it's being used.[00:32:26] 5G[00:32:26] Ricardo Belmar: let's kind of connect this to the communications mean that that's going to become available both to the store and to other locations because of 5g. I'm going to kind of, I want to start with you Trevor, cause I know you've talked quite a bit and this was one of your predictions. If I recall at the beginning of the year as what was going to happen and what 5g would open.[00:32:44] Within retail for this year. So I'd like to get your thoughts on how you see 5g kind of connecting the dots here and helping us move all this data around to where it needs to be. [00:32:53] Trevor Sumner: Yeah. I mean, the I in IOT is connectivity, right? It's connectivity to the internet. And you know, it's just amazing how bad store and vendor wifi is.[00:33:03] I mean, it's, it's, it's horrible. Right? And they changed the password. They block ports, they do all these other things. It's not evenly distributed in store. They just didn't do a good job with it. And 5g promises to be able to solve this through, greater throughput, faster connectivity, the latency on a connection is much, much lower and then the devices can talk to each other.[00:33:27] And so you can have really dense networks , of nodes, of devices and sensors and all these things kind of operating independently on very kind of low cost hardware. And so, the IDC projects that , you'll see about a 10 X increase in IOT in retail in the next four years. And like, this is happening now, right?[00:33:48] Like Walmart, I think is processing 5 billion IOT messages every single day. And so people are doing it now, and this is where you're seeing like Walgreens implementing 5g across 9,000 stores. And, and what they're saying is there all these things that we talked about, right. They want inventory scanning robots, planagram enforcement, robots.[00:34:08] They want interactive displays. They want all this type of stuff. And the reality is it's the dirty little secret about why this has been such a difficult business is all the operational low-level stuff that can go wrong. And it's especially hard when you don't have connectivity and you don't have visibility into what's going on.[00:34:29] So I think it's just as a super core tenant to be able to network all these devices with lower cost hardware, much more reliable ubiquitous throughout the store. And it'll make engineering and development and deployment much less expensive, which then opens up a new suite of applications like, , for perch, we started off like doing these high-end displays for like Joe Malone, but our fastest growing customer segment right now is in grocery because we've got the price point to a place where it made sense. And, part of that is looking at the, hardware technologies and some clever things we've done around the financing and other things. But part of it is just the underlying technologies enabling, shifts in cost structure that make a lot of sense. [00:35:15] Ricardo Belmar: Yeah. I think that's a good point.[00:35:17] And to your point about the the wifi, I've always been saying to retailers in the industry, you know, the only thing worse than no wifi in a store is bad wifi, because it's even more frustrating than when you can't get connected, the fact that you get connected, but then it's terrible makes the experience a hundred times worse.[00:35:35] Trevor Sumner: Yeah, totally. And, because of that, I shipped with a 4g router with every single one of our Perch units, and that adds, 200, $250 in cost per unit that adds somewhere between five and $25 per month. So that's, another 60 to $300 on an annual basis.[00:35:56] And so like that, that just pushes you off into too expensive territory for a bunch of stuff, as opposed to here's the CPU that speaks 5g right out of the bat. I don't have to buy any of that networking stuff and I don't have to pay Verizon or, Vodafone or whoever you're using. And all of a sudden, you're shaving 25% off my cost basis and operating this.[00:36:18] I mean, that's, that's solid amount, but what that really does is it opens up whole new tiers of applications that make this kind of sensor enabled future possible. [00:36:29] Ricardo Belmar: Yeah. That's a good point on a cost difference there. And then I think I'll even throw in there's some other advantages that will hopefully get opened up as the 5g carrier define what more detail specific services that make sense for retailers. You know, there are capabilities in 5g that lets you carve out dedicated capacity within a channel. So for example, a retailer could say, I want to have some dedicated connectivity between a set of stores and maybe a fulfillment center distribution center, or maybe I want to have a distinct channel back to a supplier for specific things or, you know, those digital signage media networks we talked about earlier.[00:37:07] If I want to keep that separate such that it doesn't interfere with other store traffic which in the past has always produced the strangest of problems. I can't even begin to count how many different retailers I've worked with where fundamental performance issues in the store just came down to one set of technology interfering on the communications link with other technologies, all fighting for the same capacity. And nobody really realized that these things needed to have just some dedicated carved out capacity. So 5g should allow for some of these new models to, to appear, to let things function a little bit smoother with dedicated capacity and space for all the different things going on in the store to kind of play nicely together and share in that space, which is something that you know, I remember when 4g started, you know, that was supposed to be one of the promises, but I think we quickly learned that it just wants to really have the strength to do that in store compared to building a solid wifi network instead.[00:38:03] Casey Golden: A hundred percent. Trevor really said it well with not having our stores with premium wifi. It's one thing to be able to make a phone call or look something up on the internet.[00:38:14] But when we get to engage with more AR applications and hologram tech and just all the types of immersive technologies that will be able to be powered onsite it could get really interesting and really innovative as long as these systems can, can actually run. [00:38:32] Trevor Sumner: Yeah. I'll give another example, right?[00:38:34] It's like, we're talking a lot about computer vision. Well, where does the vision processing happen? If you can't transmit video streams over, a significant sized internet pipe to some central location, you have to do it locally, which means that you have really powerful CPU's that cost money, right?[00:38:53] So, our Perch CPU's costs, like a media players, 400, 500, $600, and they're capable of doing, a reasonable amount of vision processing. Now, if you can just communicate that video stream to some central server to be processed afterwards now at zero and not zero, but near zero.[00:39:10] And so, it's tremendous what, again, the, challenge has been the costs, the maintenance, the, the way that these things break down, the more you can make them dumb sensors that can communicate through thick pipes to centralize processing. That's aware of all the sensors and looking at how it's not just a video from one view, but it's video from multiple views. You can do more intelligent computer vision and analysis and do that centrally once that model takes hold. It's just it's an exponential shift in computing power and, and intelligence and also an exponential shift, lower income.[00:39:49] Ricardo Belmar: Yeah. Yeah. I agree. And then just thinking more about, this video example, what better model than if you could take all of these devices and systems generating these video streams, especially for example, if we're talking about live streaming out of the store, what better model than to try to push that out over 5g and not even have it on the store network at all?[00:40:08] Not have it go over the wifi, not to have it go over the same store network. That's driving all your POS transactions, but separate it and have it go out of her 5g on a low latency systems so that it gets good performance to all the people watching that video. Likewise, if it's sensor-based generating this, these video files or video streams and it, because it's shelf technology, that's looking for gaps for replenishment. You want accuracy. And the best way you're going to get accuracy is to have reliable high capacity connectivity for that. So I think those are all good models that really speak to what we can hope to accomplish here with 5g. [00:40:40] I would, put the stake in the ground now that says, if we're talking 2025, right. That's for three years out, we're going to see 5g quite widespread across stores everywhere in one form or another, even if it's just doing, and I'll put just in air quotes, because it's not like it's an insignificance activity, but even if it's just supporting live streaming, I think that's going to be a significant factor just right there to help facilitate the adoption of that technology.[00:41:06] So I would even put it into those terms where I think this is what you were saying, Trevor is, is you reduce the cost to simpler devices that have that connectivity built in you're lowering that cost basis and making it easier to adopt these new technologies in the store and make it more ubiquitous across the entire brands store fleet.[00:41:23] So this might be a good point to pause and I'll, ask, if anyone in our audience has a question we've taken a trip across computer vision IOT. We had some digital signage sprinkled in there and we've ended up at 5g. I'm curious if anyone in our audience has some questions.[00:41:38] Questions[00:41:38] Ricardo Belmar: I think I see a hand raised there.[00:41:41] All right, Jamie. Welcome to the stage.[00:41:42] Jamie Tenser: Well, hello, greetings. This is a great conversation. I really want to compliment every one of the speakers today, as it brings together some ideas that I've been thinking about for a long time. My, my real question, I guess right now is how inextricable are in-store media and in store sensing, we've tended to look at them as sort of separate areas of pursuit.[00:42:06] Is it really converging into one thing? And I wonder what the panelists think about that. [00:42:11] Ricardo Belmar: Oh, that's a great question. You're really getting at what point is the store really starting to look like pure media, right? [00:42:18] Jamie Tenser: Well, yeah. And, if it's all right, I'll say that one of the statements I repeated for years is what I called the retail media ecology principle that the store is a communications environment for brand messages. That's on the front page of my website. So I'm a believer going in, but it does feel like the forces are converging as several people said today.[00:42:42] So I'll shut up and I'm very curious what the smart folks have to say about it.[00:42:46] Trevor Sumner: Yeah, I mean, look, I think it goes back to this, people don't want to put just straight digital signage, flashy texts that says maybe it's Maybelline, maybe it's Maybelline, maybe it's Maybelline. It doesn't really help.[00:42:57] it doesn't help the shopper because it's not contextual and it also doesn't help the brand because they can't measure it. They don't know if it's working or not. And so sensors allow both you to be more intelligent and providing the right message at the right time and also to be able to attribute, you know, kind of action.[00:43:14] So one of the things that we're doing is using computer vision to detect when somebody takes a product away from the shelf. So if the retailer doesn't want to share store level sales data with you, you don't need it. . Like somebody picked up, you know, the tide package and they walked away with it.[00:43:30] So let's just say, let's call that a sale because 90% of the time it is, and we can say, you know, does that, does that work based upon, kind of the metrics that you're looking at? I mean, we're for example, we just made a major launch with Purina at Meyer supermarkets at two hundred stores.[00:43:45] And, we're getting all this kind of interesting data, but one of the most interesting pieces of data to me is like, I can actually price this on a cost per click basis. If clicking on a product is the same as picking up a product in store. And it's one third that of Facebook. And it's like, oh, well, if media buyers start looking at this and be like, whoa, whoa, whoa, what do you mean one third?[00:44:04] Like maybe we need to do a lot more of this. Right. But until you start putting it into terms that people like $8 CPM, $20 CPM dollars CPM, a couple who cares about a CPM, did it, did people take the action? And that's what people need to see to really open this up. And that's kind of the hope of IOT. [00:44:23] Ricardo Belmar: Yeah.[00:44:23] I think I would add to what Trevor said that really what we're looking at here is, is it an awareness issue we're trying to address with media in the store or is it more an impact on conversion? And I think Trevor, you gave some really good examples there where, if you're just, popping up that Maybelline message, that's just trying to get awareness, right? That's trying to get your attention to say, Hey, I'm here. But if we think about the customer journey, what particular customer went through that they got to this store, especially where we are now, we know that those customer journeys have changed because of the pandemic.[00:44:53] We know that more often than not now they're starting as a digital journey and ending up in the store, ultimately converting. So if we take that as our premise and to Trevor's point, what value is it to have content that shows up in some form of media in the store, that's just designed to get your attention?[00:45:13] And just get you to notice. I already know it's there but if I came to the store, then in this example, my journey has brought me here because there's some reason I wasn't ready to make this purchase. When I started researching it online, I want to see it. I want to touch it. I want to see, I might want to compare it to other products in the same category that I know the store might have five different options of.[00:45:34] And because of that, if suddenly now I see some additional added value content that gives me meaningful information about the product and that's leading into a conversion. And to Trevor's point, I agree completely with this. Now it's measurable. Now I know that that media had an impact because if I know that this is in front of a display that has multiple products and there's sensors that tell me exactly which product the customer picked up and I displayed some form of content.[00:45:59] And then later I know that product was purchased by this customer. I can map that direct impact and that's to me as much more meaningful than, than the traditional, Hey, look at me. I'm here kind of promotional material.[00:46:11] Casey Golden: A hundred percent. I mean, I went to Ikea last weekend and there was a huge screen in front of the staircase on the second floor. And it was an ad. And obviously I'm looking for something because I'm walking up to the screen. I'm like, okay, nothing happens when you touch it. It was an ad for Ikea, not a product, but Ikea I'm like, I'm already here.[00:46:36] Can you show me a map? And that adds value. Do anything, something that adds value to my journey because obviously I've already made it into Ikea. So I don't need an advertisement that shopping at Ikea is great. [00:46:49] Ricardo Belmar: You need something much more specific. Yeah. [00:46:52] Casey Golden: But it would have been nice to see something else. Maybe even something that was upstairs since I'm at the bottom of the staircase.[00:47:01] Trevor Sumner: Yeah. I mean, the way I think about shopping is it about, it's fundamentally about connecting people and products and stores and departments are all kind of like abstractions and collections of this idea, but really what needs to happen is understand the interactions at a people and products level and, you talk about the journey starting online.[00:47:20] It's like, part of it is because that's the first measurable place, right? I think there's plenty of interactions of people walking. If you've walked down a supermarket aisle, you've probably seen a hundred thousand products in the cleaning goods category and you don't even register which ones you've kind of, like subconsciously you do, but , it's not measurable.[00:47:42] And so, you gotta be able to measure. Measure what people are interacting with. And so that's why fundamentally like at perch, we're really focused on that being the really centered the universe. Like those, those people product connection.[00:47:55] Ricardo Belmar: Yep. I'll all good points out. Shish did you have something you wanted to add on this one.[00:47:59] Shish Shridhar: I can thank the, you know, the way that all the systems across the store are going is the becoming in a connected systems. So the sensors really detecting behavioral information within the store and combining it with your behavioral data, if that is available outside, online, and then making recommendations and real time just-in-time is really the direction we're going.[00:48:25] And that's where the, the signage within the store kind of interacts and works in tandem with the sensors and the data and this combined with inference models. So when we kind of combine the data, there'll be a collecting from external sources, the sensors that is collecting behavioral data within the store and.[00:48:50] Applying AI models to it, to be able to determine in time, what is the most relevant and personalized messaging that can be delivered to you? I think that's the direction we are really coming with, but that combination of iOT and AI. [00:49:05] Ricardo Belmar: Yeah. That's also a good point that that there's data to be acting on in near real-time based on the situation.[00:49:11] And I think Casey's example Ikea was a good one where if you were, if you had a system that was taking in that data in the moment, then that's allowing you to make real time decisions on how to adjust the media offered to that customer for, for the particular scenario that they're in. And That to me is a pretty good step in the right direction for digital signage in particular.[00:49:34] I know plenty of older digital signage systems where the, it lacks this sort of intelligence and everything was pre-programmed, but pre-programmed for sort of a default environment where you did really take into account how that customer's visit is changing while they're there. And that's something that I think, you know, to, to your point, you know, if you have the right sensors, the right even if it could be computer vision based, it could just be an IOT sensor, you have the right technology components there.[00:49:59] You can act on the data in a more intelligent way.[00:50:01] Jamie Tenser: And just let me say, thank you for addressing my ideas. I have to sign off because they have something coming, but this is one of the most timely conversations I've been able to listen to. About retail innovation in a long time. I appreciate it. If in my hat to you all, thank you. [00:50:18] Ricardo Belmar: Any other questions from the audience at this time,[00:50:21] if not, I'm going to turn to my fellow speakers today. Casey, any final thoughts [00:50:26] Casey Golden: final thoughts is just keep it going every single step forward and new piece of technology implemented, failed or successful as a step forward. [00:50:37] Ricardo Belmar: All right. Excellent Any final thoughts? [00:50:39] Shish Shridhar: Yeah, the right now we're seeing a lot of these solutions in silos. So the IOT and the AI and 5g, all of them coming together.[00:50:47] But I think what we are going towards is them becoming an entire ecosystem that integrates and does intertwines with each other communicating information one to the other. I think that's the direction we're going in. And that's my big takeaway. [00:51:02] Ricardo Belmar: Yeah. I agree with that. I think you're absolutely spot on, on that one that is typically, I think happens right in the, in the adoption cycle with these new technologies, you see them in very unique, specific use cases in silos.[00:51:14] And then when they start integrating with other new technologies, you really start to see the magic. Trevor, any final thoughts. [00:51:19] Trevor Sumner: Yeah, the only final thought I'd have I was going to say something cheesy. Like there is an I, an IOT, but but what's really, I think interesting to me is, is we're going to start to learn what actually really happens in retail stores.[00:51:31] And the reality is we don't know, and we have lots of theories, like like in planagram design, there's this notion that you want to put your products at eye level, because eye level is buy level, but you say, and we don't even know if it's true. The answer is it's sometimes true and we're actually starting to get data to show when it is true when it's not true.[00:51:49] And it's just suddenly people who've been doing planograms their entire life for like their entire careers. It's like this can't be right. And I'm like, yeah, it's right. It's just like, well, that changes everything. Right. And I think when we get this, these types of sensor technologies and this insights into what actually happens, what actually drives customer behaviors, how customers, actually get impressions or products before they go online. And what is the importance of that and the attribution to the sales cycle? I there's just so much that's going to change. And I think, the people who embrace data and think about data and share data with their partners, if you're a retailer sharing that data with your brand partners, they will spend more with you.[00:52:30] Your customers will spend more with you. You'll become a more valuable platform. And all of this becomes just kind of this reinforcing cycle. And, there's people investing very heavily in this and it's coming and it's exciting. So I'm going to leave into the weekend. Excited [00:52:50] Ricardo Belmar: here, here to that.[00:52:51] I'm with you on that one, Trevor. I think we are absolutely going to start to learn significant new insights from data gathered in store that, that you're right. We've always made assumptions as an industry. We've. I had expected behaviors that we think we know when all we ever had to look at was a final sales data from the point of sale.[00:53:11] And compared to the mountains of information we get on e-commerce and online, I think you're, you're spot on, on that one. We're going to, as each of these technologies gets adopted, we're going to find out some truly meaningful differences of what happens with customers in store that hopefully won't be too shocking, but hopefully we'll just validate a lot of things, but I'm sure there's going to be an equal amount of new things we see that are, are very unexpected that we're going to be able to take advantage of. [00:53:38] The risk to getting left behind is, is significant. I think at this point, and hopefully every retailer has either learned a lesson for themselves or observed it from others during the pandemic. And as we come out that the need for innovation is greater than ever because consumers are coming back to stores.[00:53:54] So, on that note we'll go ahead and thank everyone for sticking through the session with us. I hope you enjoyed today's discussion on future digital transformation, innovation, particularly around 5g IOT and computer vision. Thanks everyone. And have a great weekend coming up here. [00:54:11] Recap Discussion[00:54:11] Ricardo Belmar: Welcome back everyone. I hope you enjoyed our deep dive into computer vision, IOT, and 5G. [00:54:23] Casey Golden: Shish and Trevor are just phenomenal. I'm so lucky to actually be standing in the same room with them at Shop Talk. [00:54:29] Ricardo Belmar: Yeah, it was [00:54:32] retail's big reunion. Yup. [00:54:34] Casey Golden: we ever going to really have five G[00:54:37] Ricardo Belmar: You mean other than a neat little symbol on your phone [00:54:40] Casey Golden: yeah.[00:54:41] Ricardo Belmar: that it'll actually do something for us? Yeah you know, I guess it's coming. It's coming. I mean, you know, we had some good ideas come up in the discussion there. Trevor and Shish brought up some good, good thoughts there on 5g. I have to admit when, during, I'll say peak hype over that, I remember hearing people talking about how retailers are just going to totally dismantle all their, all their store networks and just put everything on 5g. And I thought, you know, I'm not so sure about that. I think we're looking in the wrong place. And I think it's interesting that all the things we talked about around 5g in the clubhouse session, they were all new things. We're not talking about converting and replacing old activities and old concepts went into stores and how we move data around the retail business. We're talking about new things and I think that's what really, really matters. [00:55:26] Casey Golden: So does that mean, we won't get cell service in Bloomingdale's on 59th street.[00:55:32] Ricardo Belmar: Well, that remains to be seen. And maybe, I dunno, maybe you're making a good side argument there for better wifi, but I'm going to, I'm going to stay away from that wifi conversation. Don't get me started on, on bad retail, wifi. It's my number one, retail pet peeve is bad wifi. All right. So I'm going to put you on the spot now, Casey. I didn't warn you, but I'm doing it anyway of the three topics, 5g, IOT, and computer vision, which do you think is the most transformative for retail? [00:56:00] Casey Golden: Things that we can deploy now. That's what I like best.[00:56:04] Ricardo Belmar: That's a great answer. [00:56:07] Casey Golden: So I'm placing my bets on computer vision. It has an incredible potential to flow through the entire organization and not just a department. I think it's completely under utilized today. And fashion is a visual industry. Commerce is visual. How do we sell our products with video media? [00:56:27] Ricardo Belmar: Right. [00:56:27] Casey Golden: video content is at an all time high adoption rate.[00:56:31] I mean, it's finally normal. [00:56:33] Ricardo Belmar: Yeah. [00:56:34] Casey Golden: So I think, [00:56:35] Ricardo Belmar: that before. Yeah. [00:56:35] Casey Go
Our guest was none other than “e-farming” Guru, Dr. Brij Singh, Technical Fellow and Region 4 Manager of External Relationship, Deere and Company. In this podcast, Dr. Singh highlights several burning issues related to smart e-farming and explains how modern electrical machinery will make the lives of farmers easier. He also clarifies how e-farming will influence the farms of the future and change the way crops are produced. He particularly places importance to the role of power electronics and AI/IoT within the e-agricultural sector. He also talks about the role electrified drones will have moving forward. Finally, he talks about developing nations in continents such as Africa and Asia and how farmers there are adapting to agricultural tech advancements, especially from a social perspective. He also exclusively mentions how he and his family have been involved with agriculture and farming in India since the early 1400s. We were indeed honored to host Dr. Brij Singh as our guest for this timely episode on smart electrified farming.
みんなのトイレDX、AIとIoTで日々の清掃業務プロセスを最適化 by bp-Affairs
竹銘智慧醫院首任院長唐高駿指出，竹銘智慧醫院代表交大的精神，交大有個竹湖，而第一任凌(鴻勛)校長對交大貢獻很大，字竹銘，即以此為醫院之名。智慧醫院規劃醫療服務4.0，在AI+IOT時代進行醫療服務，以及未來願景(vision) ，將成為第一家名符其實數位智慧醫院，以病人醫療服務為需求 。傳統的醫療服務都以醫生為主，以醫生時間、地點等進行，讓病人在醫院奔波於不安焦躁與恐懼中，而未來智慧醫院以AI+IOT時代醫療服務，即可透過無線裝置暨遠距服務與隨時監控健康狀況，服務病患。交大做ICT產業很多。交大的強項即是ICT產業，範圍包括：「電子零組件製造業」、「電腦、電子產品及光學製品製造業」、「電信業」及「電腦相關及資訊服務業」4種業。鑑於網際網路與通信科技蓬勃興起，帶動資訊與通信科技（Information and Communication Technology，簡稱ICT）發展。40年傳統醫療模式要改變，以前的醫生都以專科為中心，專科醫師以其習慣、方便、時間等服務，現可利用科技來服務，更為人性化，就如同旅館一樣，還是要回實體醫院，以新竹市衛生局核准300床，有人說太小，其實認為足夠了，以科技方式醫院延伸出去，300床發揮至500床的效果。其實新竹市仍需要傳統醫院嗎?申請時即說新竹市醫院已是超級戰區，後發現二公里範圍之內有馬偕醫院、南門綜合醫院、國泰醫院及台大新竹醫院，衛生主管單位都認為不需要傳統醫院，台灣醫院要有所改變。因此竹銘醫院即要以全新醫院出現，雖然也將邀請台北榮總及台北和信醫院協助，但醫院自許為數位原生(Digital native)醫院，而非數位轉型。從硬體結構、流程、動線、服務模式，甚至醫師書寫病歷的方式、資訊系統的架構都朝向數位醫院的方向走，這是傳統醫院不可能做到的。。台灣醫療以醫生為主，不容易讓醫生的看病習慣改變、書寫病歷模式改變，而且他們會都有紙本的包袱。數位醫院架構有兩個部分，軟性部分是資訊系統，由陽明醫學院第21屆學弟蔡秉晃，是神經內科醫師且修台大電機博士，曾在陽明大學附設醫院擔任五年的資訊室主任，對於未來醫院資訊系統非常了解。未來資訊系統需要跟著流程走。新流程如何走，也與永齡基金會的成員討論，因為台大癌醫設置之初參考多家國外醫院，訂出未來服務流程，落實資訊系統中。更重要的是，新的醫療服務流程同時也落實在硬體建築。竹銘智慧醫院重點是什麼科，其實專科是醫生創造出，因為研究、教學或師徒制而生，有時也會有問題，專科不完全為病人需求設計，竹銘醫院將打破專科概念，以服務病人為考量點，配合病人如何流動，透過通訊輔助。如一位心臟的病患，心導管室即是血管攝影室，當患者腦血管也阻塞、頸動脈也阻塞，就會使用心導管室，但執行可能是心臟科醫師、放射影像科醫師或神經外科醫師，，血管室以病人為中心，讓不同科別醫師在此間可以做好檢查與處理。病患康復了，要復健及生活飲食改變，而造成血管阻塞是高三(高血糖、高血脂等)的問題，需要新陳代謝科醫師的照護，整合病人所需要的各科醫師建議，透過資訊系統輔助，真正以病人為中心，，病患無需奔波。竹銘智慧醫院是交大人捐贈，將服務交大師生以及鄰近新竹市科學園區員工及民眾，以園區電子業員工的疾病發生心臟神經血管等，醫院規劃最重要的是重裝備，第一個是影像，第二個是手術室需要集中且設備不斷推陳出新，複合手術室(Hybrid OR)將手術術與血管攝影室融合在一起，還有達文西手術，重症設在四樓，對面為加護病房，第三個是血管攝影室，不似其他醫院不同科分設不同地方，而是融合設在一起。腎臟病患的洗腎需求，我們將與周圍醫院、診所整合，但醫院加護病房會設置8間洗腎床，供患者緊急透析使用。。交大校友有做用影像看至心跳及分析會不會產生心律不整，生理訊號如何傳送如何監測，透過智慧手環、手機來傳遞。，心因性猝死最怕是突發性的心率不整、心室過速，其實此症發生時經電一下即可以恢復，因此將透過人工智慧裝在病人身上隨時偵測，發展人工智慧、診斷準確，透過ICT來及時救治。交大有很多好的技術，來發展病患出院後的持續照顧與健康管理。交大人才濟濟，利用電子科技治療，且有很多新穎設備，不過運用在人身上還是要謹慎，目前國外的交大校友作脊椎損傷治療，利用電刺激企圖讓病人可以站起來。又如對憂鬱症病患也可以精準計算，給予病人最恰當電極、最恰當的磁力而達到個人化醫療。未來這家醫院可以往這各方向發展，這是陽明、交大結合很大的能量。要保持Open mind，交大在電子新科技有強大能量，新科技接受度、創新能力強。新方法雖好，但仍要十分嚴謹的原則是尊重生命，醫療倫理有說不能傷害人，行善原則，用到人體更要謹慎，需科學根據臨床實驗來印証。雖然我們醫院無任何包袱，做一個破壞性的創新，仍需經過嚴謹過程，證明創新方式是好的。。所幸現在可透過人工智慧進行模擬。曾與前校長吳妍華合作科技部計畫中，，將病人的情形在電腦上先模擬，也就是數位孿生，這樣做更能夠達到精準性。竹銘智慧醫院將是國內第一家建築的數位孿生(Digital Twins)、，建成模型BIM(Building information modeling)，將來任何管路、醫院監控病人跌倒，都在電腦中控系統中很快即能監控到，未來醫院管路要變更，可以在電腦中模擬，就與電影阿凡達一樣。台積電都在做，醫院複雜很多但仍可以做。醫院已找到合作專家共同去做，相信竹銘醫院將是名符其實的智慧醫院。
竹銘智慧醫院首任院長唐高駿指出，竹銘智慧醫院代表交大的精神，交大有個竹湖，而第一任凌(鴻勛)校長對交大貢獻很大，字竹銘，即以此為醫院之名。智慧醫院規劃醫療服務4.0，在AI+IOT時代進行醫療服務，以及未來願景(vision) ，將成為第一家名符其實數位智慧醫院，以病人醫療服務為需求 。傳統的醫療服務都以醫生為主，以醫生時間、地點等進行，讓病人在醫院奔波於不安焦躁與恐懼中，而未來智慧醫院以AI+IOT時代醫療服務，即可透過無線裝置暨遠距服務與隨時監控健康狀況，服務病患。交大做ICT產業很多。交大的強項即是ICT產業，範圍包括：「電子零組件製造業」、「電腦、電子產品及光學製品製造業」、「電信業」及「電腦相關及資訊服務業」4種業。鑑於網際網路與通信科技蓬勃興起，帶動資訊與通信科技（Information and Communication Technology，簡稱ICT）發展。40年傳統醫療模式要改變，以前的醫生都以專科為中心，專科醫師以其習慣、方便、時間等服務，現可利用科技來服務，更為人性化，就如同旅館一樣，還是要回實體醫院，以新竹市衛生局核准300床，有人說太小，其實認為足夠了，以科技方式醫院延伸出去，300床發揮至500床的效果。其實新竹市仍需要傳統醫院嗎?申請時即說新竹市醫院已是超級戰區，後發現二公里範圍之內有馬偕醫院、南門綜合醫院、國泰醫院及台大新竹醫院，衛生主管單位都認為不需要傳統醫院，台灣醫院要有所改變。因此竹銘醫院即要以全新醫院出現，雖然也將邀請台北榮總及台北和信醫院協助，但醫院自許為數位原生(Digital native)醫院，而非數位轉型。從硬體結構、流程、動線、服務模式，甚至醫師書寫病歷的方式、資訊系統的架構都朝向數位醫院的方向走，這是傳統醫院不可能做到的。。台灣醫療以醫生為主，不容易讓醫生的看病習慣改變、書寫病歷模式改變，而且他們會都有紙本的包袱。數位醫院架構有兩個部分，軟性部分是資訊系統，由陽明醫學院第21屆學弟蔡秉晃，是神經內科醫師且修台大電機博士，曾在陽明大學附設醫院擔任五年的資訊室主任，對於未來醫院資訊系統非常了解。未來資訊系統需要跟著流程走。新流程如何走，也與永齡基金會的成員討論，因為台大癌醫設置之初參考多家國外醫院，訂出未來服務流程，落實資訊系統中。更重要的是，新的醫療服務流程同時也落實在硬體建築。竹銘智慧醫院重點是什麼科，其實專科是醫生創造出，因為研究、教學或師徒制而生，有時也會有問題，專科不完全為病人需求設計，竹銘醫院將打破專科概念，以服務病人為考量點，配合病人如何流動，透過通訊輔助。如一位心臟的病患，心導管室即是血管攝影室，當患者腦血管也阻塞、頸動脈也阻塞，就會使用心導管室，但執行可能是心臟科醫師、放射影像科醫師或神經外科醫師，，血管室以病人為中心，讓不同科別醫師在此間可以做好檢查與處理。病患康復了，要復健及生活飲食改變，而造成血管阻塞是高三(高血糖、高血脂等)的問題，需要新陳代謝科醫師的照護，整合病人所需要的各科醫師建議，透過資訊系統輔助，真正以病人為中心，，病患無需奔波。竹銘智慧醫院是交大人捐贈，將服務交大師生以及鄰近新竹市科學園區員工及民眾，以園區電子業員工的疾病發生心臟神經血管等，醫院規劃最重要的是重裝備，第一個是影像，第二個是手術室需要集中且設備不斷推陳出新，複合手術室(Hybrid OR)將手術術與血管攝影室融合在一起，還有達文西手術，重症設在四樓，對面為加護病房，第三個是血管攝影室，不似其他醫院不同科分設不同地方，而是融合設在一起。腎臟病患的洗腎需求，我們將與周圍醫院、診所整合，但醫院加護病房會設置8間洗腎床，供患者緊急透析使用。。交大校友有做用影像看至心跳及分析會不會產生心律不整，生理訊號如何傳送如何監測，透過智慧手環、手機來傳遞。，心因性猝死最怕是突發性的心率不整、心室過速，其實此症發生時經電一下即可以恢復，因此將透過人工智慧裝在病人身上隨時偵測，發展人工智慧、診斷準確，透過ICT來及時救治。交大有很多好的技術，來發展病患出院後的持續照顧與健康管理。交大人才濟濟，利用電子科技治療，且有很多新穎設備，不過運用在人身上還是要謹慎，目前國外的交大校友作脊椎損傷治療，利用電刺激企圖讓病人可以站起來。又如對憂鬱症病患也可以精準計算，給予病人最恰當電極、最恰當的磁力而達到個人化醫療。未來這家醫院可以往這各方向發展，這是陽明、交大結合很大的能量。要保持Open mind，交大在電子新科技有強大能量，新科技接受度、創新能力強。新方法雖好，但仍要十分嚴謹的原則是尊重生命，醫療倫理有說不能傷害人，行善原則，用到人體更要謹慎，需科學根據臨床實驗來印証。雖然我們醫院無任何包袱，做一個破壞性的創新，仍需經過嚴謹過程，證明創新方式是好的。。所幸現在可透過人工智慧進行模擬。曾與前校長吳妍華合作科技部計畫中，，將病人的情形在電腦上先模擬，也就是數位孿生，這樣做更能夠達到精準性。竹銘智慧醫院將是國內第一家建築的數位孿生(Digital Twins)、，建成模型BIM(Building information modeling)，將來任何管路、醫院監控病人跌倒，都在電腦中控系統中很快即能監控到，未來醫院管路要變更，可以在電腦中模擬，就與電影阿凡達一樣。台積電都在做，醫院複雜很多但仍可以做。醫院已找到合作專家共同去做，相信竹銘醫院將是名符其實的智慧醫院。
When it comes to innovation, everybody's looking for the game-changer. But Lon Safko shares the reality that humans need baby steps before they can leap forward. In this episode of the podcast, Lon and I talk about how the stories that connect us are the breadcrumbs that allow humans to understand what's coming - without fear. Lon shares the inspiration behind his bestselling books, and how having the ability to look into the future is both a gift and a curse. He also spills the details of his formula for helping people to become more creative and innovative. Finally, Lon shares an amusing anecdote of what happened when he received an unexpected phone call from John Sculley, the former CEO of Apple, and how it led to him partnering with the tech giant.
陽明交通大學併校至今已屆滿週年，首任校長林奇宏認為，新一代教育4.0最重要的，就是要能激盪創新。為此，合校初期最迫切的任務就是，整合雙方對新學校的認同，啟動「一樹百穫計畫」，既是具有共識基礎的合校願景，也是一份具十年展望前景的三年計畫藍圖。3/15、3/22兩集節目邀請陽明交大 林奇宏校長聚焦分享：一樹百穫之博雅書院、產創模式、聚焦研發喜馬拉雅峯峯相連之進度及執行成果。透過訪談內容，帶您實地了解博雅書院推動情形、產學創新研究學院去年12月邀請到蔡總統及蘇揆盛大揭牌，以及未來發展計畫，歡迎收聽。校長林奇宏說明喜馬拉雅亮點及學校目前14項計畫陽明交大合校後綜合效益已呈現，各種排名及評比都往上提升，同時在研究經費也提高甚多，其中最大的AI 2.0計畫8000萬元研究經費即是合校最高的研究經費，在合校後兩校的互補才能拿到此龐大的經費。校友支助即是喜馬拉雅以半導體與電子產業為主，朝三個領域次世代半導體材料、AI+IOT物聯網、智慧醫療產業發展。陽明交大使命即引領未來發展包括人才培育、領域開發，合校之後校內團隊各教授們在腦力激盪未來發展方向，盤點以現有基礎及未來前景需要為主，有些非常需要但目前實力單薄，現可互相抵勵，招募更好的團隊加入，學校擬定14 項計畫，分別為高齡長照、智慧醫療、防疫科技、精準醫學、再生醫學、細胞治療屬於生物醫學部分，另前瞻半導體與智能系統、AI創新與利用、量子科技、數位金融、生醫電子轉譯、儲能科技多下一代科技先進材料、偏原來交大電子理工等科技方面，及腦科學。在交大方面研究中心研究腦機介面而在陽明部分研究腦科學研究腦神經生物學內外科臨床的課題。好像有交大陽明的影子，中間儘量兩邊融合。這些補助有教育部、衛福部、科技部及國家衛生科學研究院等經費，由計畫教授去寫計畫申請等，這些計畫都是雙主持人交大電機、理、工學院及陽明醫學院、物理學院、醫技工程學院去進行。在校友支助即是喜馬拉雅計畫，當初前校長張懋中、校友施振榮等提出，則以喜馬拉雅是個山脈峰峰相連，學校在半導體與電子產業有特色，半導體是非常重要工具與素材也是基礎，14項計畫都有半導體影子，因此將朝三個領域次世代半導體材料、AI+IOT物聯網、智慧醫療產業發展，產業面向至少三個項目，未來也可能增加項目。這就是喜馬拉雅摡念。第一期深耕計畫在今年到期，現規劃第二期深耕計畫2.0將依產業需求與產業未來發展進行融合在一起，大型研究等。其實兩校在第一期中雙主持人即在14項計畫中有兩校合作研發的影子，由產業面向及未來發展，第二期深耕2.0，更能融合與研究發展。學校的亮點在研究中AI 2.0，去年教育部補助4大醫院台大、成大、陽明交大及北醫，學校合校有雙方的條作才能獲得此大筆的經費8000萬元，成為學校合校中最大的綜合效益。14項計畫個別努力與除了政府部門經費，仍有與產業界合作、產業挹注及產學合作等。14項深耕計畫都由教授等書寫計畫申請與產業合作計畫、產學合作經費為主，政府的研究經費都是學校的研究經費都需要教授們寫計畫申請，經審核而獲得，補助都是有研究目的性。卻與知名國外大學則可以募款，作為研究使用不同。學校的經費有限，學校校控經費非常少，校長能運用有限，也不可能隨意使用。只能用來引火柴之用，如儲能科技、數位金融及細胞治療，是未來產業發展，學校可以用些經費支助進行，以後一、二年內這三個領域則要靠外部計劃及強大團隊努力爭取資源，繼續研究發展。校長也沒有權指定14項計畫。先行彰顯兩校合校綜合效益，透過各方面了解與努力，其實兩校合併是否上升或退歩，剛開始也令人耽憂，結果師生各種排名及評比都進歩很多，學校師生共同努力的成果。排名外，在實際研究經費增加許多，研究經費異軍突起以及老師在各種獎項增加即可看出端倪。透過合校短期看到了成效，教育新規畫課程、產學共創都能繳出亮麗成績及整體方面創新的發展。對於兩校合併學校認同校歌、校訓及校徽的進行，因兩校的認同及不同族群切入點不同，到底合校前進與掉落，新學校要有新的校徽，先前張校長等即提出校徽的更改問題結果沒有共識下未通過，後認為國外知名大學也有此問題，不如新世代傳播平台以新的識別系統進行LOGO設計，過年前提出以英文字母，新的識別系統LOGO不是校徽及委由名外部專業設計等，結果仍難以共識難產，沒過點在英文字母大小等有爭議，門面也缺LOGO，後學校退出由10人小組進行，新的LOGO要校務會議通過，去年原生陽明交大人及交大、陽明及兩校校友等，走過碰到的問題，由於兩校的文化、認同等兩層次差異，在短期內提出新校徽可能性不高，不如將其先行放下，讓時間來融合可能較好。
陽明交通大學併校至今已屆滿週年，首任校長林奇宏認為，新一代教育4.0最重要的，就是要能激盪創新。為此，合校初期最迫切的任務就是，整合雙方對新學校的認同，啟動「一樹百穫計畫」，既是具有共識基礎的合校願景，也是一份具十年展望前景的三年計畫藍圖。3/15、3/22兩集節目邀請陽明交大 林奇宏校長聚焦分享：一樹百穫之博雅書院、產創模式、聚焦研發喜馬拉雅峯峯相連之進度及執行成果。透過訪談內容，帶您實地了解博雅書院推動情形、產學創新研究學院去年12月邀請到蔡總統及蘇揆盛大揭牌，以及未來發展計畫，歡迎收聽。校長林奇宏說明喜馬拉雅亮點及學校目前14項計畫陽明交大合校後綜合效益已呈現，各種排名及評比都往上提升，同時在研究經費也提高甚多，其中最大的AI 2.0計畫8000萬元研究經費即是合校最高的研究經費，在合校後兩校的互補才能拿到此龐大的經費。校友支助即是喜馬拉雅以半導體與電子產業為主，朝三個領域次世代半導體材料、AI+IOT物聯網、智慧醫療產業發展。陽明交大使命即引領未來發展包括人才培育、領域開發，合校之後校內團隊各教授們在腦力激盪未來發展方向，盤點以現有基礎及未來前景需要為主，有些非常需要但目前實力單薄，現可互相抵勵，招募更好的團隊加入，學校擬定14 項計畫，分別為高齡長照、智慧醫療、防疫科技、精準醫學、再生醫學、細胞治療屬於生物醫學部分，另前瞻半導體與智能系統、AI創新與利用、量子科技、數位金融、生醫電子轉譯、儲能科技多下一代科技先進材料、偏原來交大電子理工等科技方面，及腦科學。在交大方面研究中心研究腦機介面而在陽明部分研究腦科學研究腦神經生物學內外科臨床的課題。好像有交大陽明的影子，中間儘量兩邊融合。這些補助有教育部、衛福部、科技部及國家衛生科學研究院等經費，由計畫教授去寫計畫申請等，這些計畫都是雙主持人交大電機、理、工學院及陽明醫學院、物理學院、醫技工程學院去進行。在校友支助即是喜馬拉雅計畫，當初前校長張懋中、校友施振榮等提出，則以喜馬拉雅是個山脈峰峰相連，學校在半導體與電子產業有特色，半導體是非常重要工具與素材也是基礎，14項計畫都有半導體影子，因此將朝三個領域次世代半導體材料、AI+IOT物聯網、智慧醫療產業發展，產業面向至少三個項目，未來也可能增加項目。這就是喜馬拉雅摡念。第一期深耕計畫在今年到期，現規劃第二期深耕計畫2.0將依產業需求與產業未來發展進行融合在一起，大型研究等。其實兩校在第一期中雙主持人即在14項計畫中有兩校合作研發的影子，由產業面向及未來發展，第二期深耕2.0，更能融合與研究發展。學校的亮點在研究中AI 2.0，去年教育部補助4大醫院台大、成大、陽明交大及北醫，學校合校有雙方的條作才能獲得此大筆的經費8000萬元，成為學校合校中最大的綜合效益。14項計畫個別努力與除了政府部門經費，仍有與產業界合作、產業挹注及產學合作等。14項深耕計畫都由教授等書寫計畫申請與產業合作計畫、產學合作經費為主，政府的研究經費都是學校的研究經費都需要教授們寫計畫申請，經審核而獲得，補助都是有研究目的性。卻與知名國外大學則可以募款，作為研究使用不同。學校的經費有限，學校校控經費非常少，校長能運用有限，也不可能隨意使用。只能用來引火柴之用，如儲能科技、數位金融及細胞治療，是未來產業發展，學校可以用些經費支助進行，以後一、二年內這三個領域則要靠外部計劃及強大團隊努力爭取資源，繼續研究發展。校長也沒有權指定14項計畫。先行彰顯兩校合校綜合效益，透過各方面了解與努力，其實兩校合併是否上升或退歩，剛開始也令人耽憂，結果師生各種排名及評比都進歩很多，學校師生共同努力的成果。排名外，在實際研究經費增加許多，研究經費異軍突起以及老師在各種獎項增加即可看出端倪。透過合校短期看到了成效，教育新規畫課程、產學共創都能繳出亮麗成績及整體方面創新的發展。對於兩校合併學校認同校歌、校訓及校徽的進行，因兩校的認同及不同族群切入點不同，到底合校前進與掉落，新學校要有新的校徽，先前張校長等即提出校徽的更改問題結果沒有共識下未通過，後認為國外知名大學也有此問題，不如新世代傳播平台以新的識別系統進行LOGO設計，過年前提出以英文字母，新的識別系統LOGO不是校徽及委由名外部專業設計等，結果仍難以共識難產，沒過點在英文字母大小等有爭議，門面也缺LOGO，後學校退出由10人小組進行，新的LOGO要校務會議通過，去年原生陽明交大人及交大、陽明及兩校校友等，走過碰到的問題，由於兩校的文化、認同等兩層次差異，在短期內提出新校徽可能性不高，不如將其先行放下，讓時間來融合可能較好。
Another edition of the https://www.youtube.com/hashtag/seeksustainablejapan (#SeekSustainableJapan) weekly sub-series https://www.youtube.com/hashtag/sustainableshorts (#SustainableShorts) 30-min discussion between sustainability-focused consultants Tove & Joy and Shirley who works in the IT-tech industry in Japan as a full-stack engineer. We three are organizing an all day event in Tokyo-Hiroshima-Online this year. https://www.youtube.com/hashtag/sustainableshortakes (#sustainableshortakes) https://www.youtube.com/hashtag/japan (#japan) https://www.youtube.com/hashtag/sdgs (#SDGs) https://www.youtube.com/hashtag/esgs (#ESGs) https://www.youtube.com/hashtag/equity (#equity) https://youtu.be/e7p0rTvbFGQ (Watch this talk on YouTube) Big announcement: the 3/21 Empowering Women in Sustainability will be delayed to May due to Covid19 venue booking issues. On the 21st of March, we are planning instead to do a 2 hour online discussion with some of the women who will be speakers at the May event. https://www.youtube.com/watch?v=e7p0rTvbFGQ&t=0s (00:00) Welcome https://www.youtube.com/watch?v=e7p0rTvbFGQ&t=60s (01:00) Online Preview 3/21 Event Postponed to May https://www.youtube.com/watch?v=e7p0rTvbFGQ&t=120s (02:00) Bloody Taboo - Menstruation & Sustainability https://www.youtube.com/watch?v=e7p0rTvbFGQ&t=320s (05:20) Padman Indian Film https://www.youtube.com/watch?v=e7p0rTvbFGQ&t=440s (07:20) Reusable Pads https://www.youtube.com/watch?v=e7p0rTvbFGQ&t=530s (08:50) Sustainable Future with AI? https://www.youtube.com/watch?v=e7p0rTvbFGQ&t=620s (10:20) Artificial Intelligence SmartCity IOT Hackathon https://www.youtube.com/watch?v=e7p0rTvbFGQ&t=810s (13:30) Seabin Tech Tracking Products https://www.youtube.com/watch?v=e7p0rTvbFGQ&t=979s (16:19) ESGs Governance Beyond COP26 https://www.youtube.com/watch?v=e7p0rTvbFGQ&t=1020s (17:00) From Discussion to Action Beyond COP26 https://www.youtube.com/watch?v=e7p0rTvbFGQ&t=1255s (20:55) Open Communication & Collaboration SDGs https://www.youtube.com/watch?v=e7p0rTvbFGQ&t=1450s (24:10) Sustainable Building Design https://www.youtube.com/watch?v=e7p0rTvbFGQ&t=1520s (25:20) Empty Roofs are Mottainai Wasted Opportunities https://www.youtube.com/watch?v=e7p0rTvbFGQ&t=1570s (26:10) Grow Your Own Food on Roof Branding https://www.youtube.com/watch?v=e7p0rTvbFGQ&t=1680s (28:00) Net-Positive Book Sustainable Short-Takes LINKS & ShoutOuts == Menstruation & Sustainability == Bloody Taboo - Sybillia Patrizia: https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqa2dHdW9NSGx1bXNvQXRrMUl0cjRkeXpVSTRkQXxBQ3Jtc0ttY0p0cjdKWk5hZWllUDhwNzVNeXdNc1hFeEFtZE9FMXRwcG5ESHpmaFRXSTI2NW9LeGNoZFlmM3dsUF82bnBXVGk1ZFAyZlRSZ2o3Mm5HcWJtQkt3WjJOUi1fQllMa1hFbm43MUdzWXlEZWhCUzNKTQ&q=https%3A%2F%2Fvimeo.com%2F676682986%3Ffbclid%3DIwAR1yBkcRWC0NXxCDiJbKUH1eKvrNXM4hPe7KGymivIATRRSU2rSYRs18zRo&v=e7p0rTvbFGQ (https://vimeo.com/676682986?fbclid=Iw...) Interview with Director Sybilla Patrizia & Clementine Nuttal about PlasticLove Documentary but talked a little about Bloody Taboo as well: https://www.youtube.com/watch?v=zkxQ4-bLHhI&t=0s (https://youtu.be/zkxQ4-bLHhI) India- PADMAN film https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqa2xicndDc0FXYVR0WWZLTzJ4alR2cHpyVVl6QXxBQ3Jtc0tuQVhyemdMV1NIdUxiQWdBTGFBR3E4RTNxVC1HaGEyQ0ZmbDZLVmEzYzNLNzNJcWVteGoyWW1iamFpd2JPdWxnUmE5RE1JeV9TWFFpS0FnTEs2M01SZzhCZFQ5RjJTajdUQmFySFZtTVdheW13Z1N1bw&q=https%3A%2F%2Fen.wikipedia.org%2Fwiki%2FPad_Man_%28film&v=e7p0rTvbFGQ (https://en.wikipedia.org/wiki/Pad_Man...)) Reusable Pads - Top 7 Ranking:...
In this Silicon Valley Tech & AI episode presented by GSD Venture Studios Gary interviews Ajay Lalu. About GSD Venture Studios: We travel the world investing in resilient teams bold enough to #GoGlobal. For too long self-motivated entrepreneurs have navigated the minefield of challenges to launching a global company with very little support. The last thing you should bet on in this situation is an unproven team that you don't trust. GSD Venture Studios travels to every corner of the globe inviting resilient teams to establish partnerships that ensure organizations grow the right way, without games or gimmicks. Unlike traditional investors, we take senior operational (often co-founder) roles in these companies, capitalizing on our trusted reputation, experiences, and network to drive explosive growth. More information can be found at: https://www.gsdvs.com/post/interview-with-derek-everything-you-need-to-know-about-gsd About Gary Fowler: Gary has 30 years of operational, marketing, sales, and executive leadership experience including a $1.35 billion dollar exit and a successful Nasdaq IPO. He has founded 15 companies: DY Investments, Yva.ai, GVA LaunchGurus Venture Fund, GSD Venture Studios, Broadiant, etc. Under his leadership, Yva.ai was named one of the Top 10 AI HR Tech companies globally. Gary was recently named one of the top 10 Most Influential AI Executives to Watch in 2020. He is a writer at Forbes Magazine and published over 60 articles on AI and Technology over the last year. More information can be found at: https://www.gsdvs.com/post/meet-gary-fowler
Are you thinking about implementing a new sensor in your facility? Maybe it is the Nanoprecise sensor? In this weeks episode we talk with Vivek Gupta about his implementation journey through pilot to full scale role out of the Nanoprecise sensor. Also joining the conversation us Sunil Vedula. Episode Shout Outs: Vivek Gupta - https://www.linkedin.com/in/vivek-gupta-937b819/ Sunil Vedula - https://www.linkedin.com/in/sunil-vedula-844a0917/ www.nanoprecise.io If your company sells products or services to engaged maintenance & reliability professionals, tell your marketing manager about Maintenance Disrupted. If you'd like to discuss advertising, please email us at maintenancedisrupted@gmail.com Check out our website at www.maintenancedisrupted.comand sign up for the weekly disruption newsletter with bonus content. If you like the show, please tell your colleagues about it and follow maintenance disrupted on LinkedIn and YouTube. Follow Maintenance Disrupted on LinkedIn https://www.linkedin.com/company/maintenancedisrupted Music: The Descent by Kevin MacLeod Link: https://incompetech.filmmusic.io/song/4490-the-descent License: http://creativecommons.org/licenses/by/4.0/
In this Silicon Valley Tech & AI episode presented by GSD Venture Studios Gary interviews Vassilios Vassiliadis. About GSD Venture Studios: We travel the world investing in resilient teams bold enough to #GoGlobal. For too long self-motivated entrepreneurs have navigated the minefield of challenges to launching a global company with very little support. The last thing you should bet on in this situation is an unproven team that you don't trust. GSD Venture Studios travels to every corner of the globe inviting resilient teams to establish partnerships that ensure organizations grow the right way, without games or gimmicks. Unlike traditional investors, we take senior operational (often co-founder) roles in these companies, capitalizing on our trusted reputation, experiences, and network to drive explosive growth. More information can be found at: https://www.gsdvs.com/post/interview-with-derek-everything-you-need-to-know-about-gsd About Gary Fowler: Gary has 30 years of operational, marketing, sales, and executive leadership experience including a $1.35 billion dollar exit and a successful Nasdaq IPO. He has founded 15 companies: DY Investments, Yva.ai, GVA LaunchGurus Venture Fund, GSD Venture Studios, Broadiant, etc. Under his leadership, Yva.ai was named one of the Top 10 AI HR Tech companies globally. Gary was recently named one of the top 10 Most Influential AI Executives to Watch in 2020. He is a writer at Forbes Magazine and published over 60 articles on AI and Technology over the last year. More information can be found at: https://www.gsdvs.com/post/meet-gary-fowler
近日，网易有道发布公告称，将于12月31日正式终止义务教育阶段学科培训业务。目前，网易有道的业务重点已经由学科课后辅导转向原有的智能学习硬件、素质教育、成人教育和教育信息化四大业务板块。36氪从多个独立信源处获悉，京东技术委员会主席周伯文已正式从京东离职，将于AI方向创业。在被刘强东挖到京东后，周伯文一度统管京东云、人工智能、IoT三大事业部，是京东技术体系的最高负责人。36氪针对此事向京东官方求证，截止发稿尚未得到回复。今晚7点17分，真豪华纯电中大型SUV凯迪拉克LYRIQ量产车将正式线上发布。LYRIQ是上汽通用汽车引入Ultium奥特能电动车平台的首款车型，也是凯迪拉克智能纯电时代转型的开山之作。整车长超5米，轴距近3.1米，跻身中大型SUV行列。LYRIQ CLTC续航里程超过650公里，支持全生命周期快充。量产版LYRIQ高度复刻了概念车的设计元素，创新演绎了品牌“艺术与科技”的设计哲学，为驾驶者带来崭新的驾乘体验。据报道，阿里云将在韩国及泰国新增两座云数据中心，并于2022年内正式启用，为当地客户提供本地化的数字技术服务。据官方介绍，此前，阿里云已在马来西亚、新加坡、印尼、菲律宾、日本、德国、迪拜、美国等25个地域建立了数百座云数据中心。据第一财经报道，针对媒体报道的“秘密”为订阅应用购买广告以提高抽成的新闻，苹果公司周一回应称，这是一种错误描述，开发者完全知道苹果公司代表他们投放广告。 苹果回应称，公司投放广告来宣传所分销的应用已有5年时间，这些广告上明确标记来自App Store。据报道，特斯拉中国充电团队宣布，截至目前，特斯拉在中国大陆已建设开放超1000座超级充电站，超8000个超级充电桩，配合超700座目的地充电站，超1750个目的地充电桩，覆盖全中国超360个城市。36氪获悉，苏宁易购在微博发布声明，网传“苏宁易购十二月底宣布破产”系谣言，苏宁易购经营一切正常。苏宁易购已向公安机关报案，对造谣者将依法追究法律责任。
近日，网易有道发布公告称，将于12月31日正式终止义务教育阶段学科培训业务。目前，网易有道的业务重点已经由学科课后辅导转向原有的智能学习硬件、素质教育、成人教育和教育信息化四大业务板块。36氪从多个独立信源处获悉，京东技术委员会主席周伯文已正式从京东离职，将于AI方向创业。在被刘强东挖到京东后，周伯文一度统管京东云、人工智能、IoT三大事业部，是京东技术体系的最高负责人。36氪针对此事向京东官方求证，截止发稿尚未得到回复。今晚7点17分，真豪华纯电中大型SUV凯迪拉克LYRIQ量产车将正式线上发布。LYRIQ是上汽通用汽车引入Ultium奥特能电动车平台的首款车型，也是凯迪拉克智能纯电时代转型的开山之作。整车长超5米，轴距近3.1米，跻身中大型SUV行列。LYRIQ CLTC续航里程超过650公里，支持全生命周期快充。量产版LYRIQ高度复刻了概念车的设计元素，创新演绎了品牌“艺术与科技”的设计哲学，为驾驶者带来崭新的驾乘体验。据报道，阿里云将在韩国及泰国新增两座云数据中心，并于2022年内正式启用，为当地客户提供本地化的数字技术服务。据官方介绍，此前，阿里云已在马来西亚、新加坡、印尼、菲律宾、日本、德国、迪拜、美国等25个地域建立了数百座云数据中心。据第一财经报道，针对媒体报道的“秘密”为订阅应用购买广告以提高抽成的新闻，苹果公司周一回应称，这是一种错误描述，开发者完全知道苹果公司代表他们投放广告。 苹果回应称，公司投放广告来宣传所分销的应用已有5年时间，这些广告上明确标记来自App Store。据报道，特斯拉中国充电团队宣布，截至目前，特斯拉在中国大陆已建设开放超1000座超级充电站，超8000个超级充电桩，配合超700座目的地充电站，超1750个目的地充电桩，覆盖全中国超360个城市。36氪获悉，苏宁易购在微博发布声明，网传“苏宁易购十二月底宣布破产”系谣言，苏宁易购经营一切正常。苏宁易购已向公安机关报案，对造谣者将依法追究法律责任。
農業AI・IoT×環境センシング、広大な農地等でも様々な可視化を by bp-Affairs
If you've been listening to our show recently, or if you've been around any tech talk, you've probably heard AI, IoT, and even Edge thrown around. But what does it all actually mean? How do they all connect and what exactly are they doing to advance our world? In today's episode, we talk with Microsoft innovator and strategist Pete Bernard. Pete drives Microsoft's strategy for the intersection of 5G, AI, Edge Computing, and IoT. If those terms make your head spin, don't worry. We talk about the simple explanations of what each of these pieces of tech does, how they create stronger, faster, and more reliable connections when working together, and how they help within our society today. Join us as we discuss the relative term of edge computing and how it works within different industries from agriculture to cellular networks. Pete talks about the importance of low latency and upping computer power through edge technology and AI, as well as how it connects in two-way communication with the cloud to provide faster connections for services like security, safety, and more. You'll learn a solid definition of artificial intelligence, why you don't need to be worried about a robot uprising, and even how it is used in everyday practices you may not realize. Plus a look into how all these technologies work together to enable the 5G network, allowing us to change the world as we know it. So, sit back, hit play, and relax because this episode is packed with information on technologies that will innovate our world and impact our future. To find the resources we mentioned, or to connect with Pete, check out the links below! LINKS: More Of What's Inside: What edge computing is and how it works Low latency and why you want it Workloads and their importance How IoT keeps us connected The real facts about AI How 5G works within these technologies The practical side of 5G, AI, IoT Why you don't need to buy all your equipment 5G mobile gaming and its advantages What exactly the cloud is How much we have grown And much more! Guest Links: Microsoft Azure Tour: https://youtu.be/80aK2_iwMOs Microsoft Azure Percept Dev: https://aka.ms/getazurepercept Twitter: @digitaldad LINKS: Website: Website: https://5gguys.com Social: Facebook: https://www.facebook.com/5Gguys LinkedIn: https://www.linkedin.com/groups/12515882 Twitter: https://twitter.com/5gGuys Submit Your Ideas or Feedback: https://5gguys.com/contact-2 Episode Minute By Minute: 0:56 - How you can ask us questions 1:44 - What we cover today 7:03 - How edge computing helps networks 11:19 - A realistic look at AI 16:38 - How AI is helping cellular networks 20:24 - The democratization of technology 23:42 - The Cloud and what it is 28:57 - More resources to check out 30:20 - How to connect with Pete 30:40 - Closing thoughts and advice
一、科技创新，是世界进步的第一推动力站在5000年后的今天，我们再回首人类的发展进程，从石器时代—青铜时代—铁器时代—蒸汽时代—电气时代—信息时代，再到当下的智能时代。我们会发现，每一次时代的演进，都离不开科技的发展（尽管1939年之前“Technology科技”这个术语从未以口语的形式出现），每一个时代，其实都被科技打下了烙印。科技史学家林恩·怀特曾说：中世纪晚期的主要辉煌成就，不是大教堂和史诗，也不是经院哲学，而是庞大文明在历史上第一次主要依靠非人力动力来生存，而非奴隶或苦力的汗流浃背。时代的更迭与科技的发展息息相关，我们活在科技的潮流之中。第一，科技推动国家崛起。回顾前三次工业革命以及大国兴衰，背后都是科技带来的“光荣与梦想”。18世纪60年代，随着工业革命的兴起，英国率先成为“世界工厂”，社会生产力提高，城市化进程加快，物质水平极大丰富。彼时，亚当·斯密等人提倡的“自由贸易”思想大行其道，英国通过海洋贸易和对外殖民成为了世界霸主，而伦敦成为世界金融和贸易中心，“日不落帝国”一时煊赫无比。19世纪中期，电气革命（第二次工业革命）兴起，德国人西门子制成了发电机，美国人贝尔发明了电话......世界联系变得更加紧密，资本主义的世界秩序得以建立——德国、美国开始登上世界舞台的C位。20世纪四、五十年代，科学技术革命（第三次工业革命）开始，计算机、原子能、空间技术、生物工程引发了信息革命，科学技术在推动生产力的发展方面起到越来越重的作用，科学各个领域之间相互联系加强——美国成为世界霸主。科技就像一颗火种，“星星之火，可以燎原”，点燃了大国崛起。第二，科技推动经济迅速增长。科技不仅创造财富，某种程度上来说，科技等于财富本身。安格斯·麦迪森在其著作《世界经济千年史》中提到：1820年之前，世界总体经济增长十分缓慢。之后，世界总体经济开始迅速增长——工业革命之后。现代经济增长理论之中，索洛模型被提及的最多（当然，它也有不足之处）：Y=A*F(K,L)或sF（k）=k*（n+g+δ）。索洛模型表明：经济增长的路径是稳定的。长期，只有技术进步是增长的来源。也就是说，一个很重要的事实就是：一旦现有技术不再进步，没有创新，增长就会停止。为了让GDP增长，首先要投入资本，达到增长停滞的时点后，需要投资于技术，技术投资带来创新，而创新会使经济整体提速。一方面使用“智能+机器”，提升生产效率，另一方面通过流程再造，节约成本。同时，释放更多的劳动力向第三产业迁移，进一步提升人力资本供给量。第三，科技改善人类生活方式。放眼望去，互联网、手机、各种app以及智能硬件等“习以为常”的东西，已经极大影响了我们的生活。而未来，更多尖端科技“AI、生物工程、5G、创新药”将会产生更大的影响。《未来生活简史》中提到：三场革命将会彻底改变人类的生活方式。“个性化制造革命”：3D技术的普及，让每个普通人都能掌握设计、制造各种材料的能力，假以时日，食品、药品甚至人类器官，都可以通过3D打印实现；“智能革命”：机器人、驾驶自动化、虚拟实体将逐渐占据现有的人类就业岗位，计算机开始模仿人类的部分语言和思维能力，人类也在计算机的相互学习中得到提升；“生物革命”：人类将破解自己及其他生物的基因、遗传密码， 赢得对自身及其他物种的生物控制力，并施加干预与影响（当然，以上三场革命还会涉及到伦理问题）。总之，从个体、社会到国家，都与科技发展休戚与共。 二、科技创新，是最好的破局之路当下，我们处在过剩经济时代，要素（劳动力、土地、资本）驱动模式瓶颈已现，经济发展需要从“高速转为高质量”。人口方面，2021年“七普”数据公布显示：全国总人口14.11亿人，年增长率均0.53%，增速进一步放缓，劳动年龄人口和育龄妇女规模下降，老龄化程度加深，总和生育率下降等等结构性问题较为突出。这意味着依靠“人口数量大、劳动力成本低”的优势不再。投资方面，一是地方政府债务危机、金融业杠杆化明显，防范金融结构性风险成为当下重要的命题。二是传统的“铁公基”、“房地产”等投资边际投资收益率逐渐递减。特别是随着房地产调控加码，房地产开发投资的高增长可持续性存疑。投资拉动势必将转移到科技创新领域。总之，随着工业化进程逐渐走完，经济体增速放缓是必然的，但是告别传统的“旧态势”，进入“新格局”，就必须依赖创新驱动。因为科技才是第一生产力。其次，数字化时代，围绕消费升级和新基建，“企业+产业”都急需升级。产业结构升级的一般规律，可以用“配第-克拉克定理”来表述。即在经济开始起飞阶段，一个经济体的第一产业比重将逐步下降，第二、第三产业比重将逐步上升，并以第二产业为主导。随着经济逐步走向成熟阶段，第一、第二产业比重将同时下降，第三产业比重则不断上升，并成为新的主导产业。随着我国人均GDP和消费需求逐渐升级，第三产业占比越来越大，这就倒逼着生产部门不断提升供给能力（质量和多元化）。再者，数字化转型已经成为趋势。一方面，数字化促进制造业与服务业结合，提升服务质量，满足消费需求。另一方面，数字化通过新基建设施（AI+5G+大数据+云计算等），逐步搭建产业互联网，打通创新链和产业链。最后，随着国际博弈日趋激烈，“卡脖子”现象存在倒逼中小企业补位。随着所谓的“修昔底德陷阱”的观念日益被西方国家接受，中国（企业）面临的“卡脖子”问题越来越突出。中国大陆依托庞大的下游市场，近年芯片设计领域发展迅速，不但诞生了世界前十的芯片设计巨头华为海思，整体芯片设计规模也位居世界第二；芯片封测更是有了长电等国际前列。然而，在美国禁令之下，“芯慌”成为中国不少行业的梦魇。美国靠着多年的“时间积累”和超高精密度“工艺技术”，在设备领域形成了牢牢的主动权。而时间和技术，都不是后进者可以一蹴而就的。中国科技虽然有短板，但是并没有缺环，中国是世界上唯一一个拥有全产业链、全工业门类的国家，几乎所有的被“卡脖子”的领域，都有国产替代企业。未来，这些卡脖子清单，都会转化为机会清单，而“机会清单”就是中国科技自立自强的突破口。其中，包括：光电芯片、人工智能、航空航天、生物技术等技术。中科院西安光机所光学博士米磊将上述称之为“硬科技”。现在，随着全球新一轮的科技革命和产业革命兴起，“硬科技”已经崭露头角。三、硬科技，破局而出1.硬科技概念与意义硬科技是个新概念吗？是，也不是。是，就在于它是为了区别于传统的“互联网”这样的“软科技”。不是，就在于从“硬科技”的本质与内容来看，科技属性更加聚焦。所谓“硬”就是关键、核心，特殊内涵就在于它的支撑性，重点关注的是过去有些忽视的“产业化需求”。米磊等人认为：“硬科技”就是那些事关国家战略安全和综合国力，能够驱动经济社会变革的重点产业链上的关键共性技术。与以往“硬科技”注重内涵和理念宣传不同的是，从科学与技术的关系，融合吸收布什范式、巴斯德象限理论、钱学森的技术科学思想等的精髓，对硬科技理论渊源和内核进行了详细阐释。当前，硬科技的代表性领域包含：光电芯片、人工智能、航空航天、生物技术、信息技术、新材料、新能源、智能制造等为代表的高精尖科技。 （硬科技树）米磊认为，硬科技是“骨头”，实体经济是“肌肉”，虚拟经济是“脂肪”，金融是“血液”。国家经济健康发展核心在于强肌壮骨，血液则是强肌壮骨的重要基础，设立科创板就是从宏观建构上将金融创新和科技创新统筹起来。简单来说，硬科技就是科研与产业的融合体，围绕产业链部署创新链和围绕创新链布局产业链的中间环节和纽带，最终用于解决人类社会重大问题。以1995年NASA发布的《技术成熟度白皮书》来看，从科学原理到形成产业，技术被划分为9个等级：1-3级属于科研范畴，4-6级属于转化范畴，7-9级属于产业范畴。由于我国缺失4-6级范畴，缺乏理论转化为应用的能力，进而无法形成规模化市场，于是形成了“死亡之谷”。而硬科技就是为了解决这个问题。因此，硬科技具有两大意义。战略意义：保障国家战略安全、塑造高质量发展新优势、优化技术供给体系、为产业转型升级注入新动能；现实意义：新时代科技创新理论的新实践，扩大新基建、助力双循环新格局，推动产业链供应链“补链强链”互动发展，助力国家高新区硬科技聚集地建设。2.硬科技发展的现状从数据上来看，创新型国家科技进步的贡献率普遍在70%以上。当下，中国科技进步贡献率从2001年的39%一路攀升至2020年的60%，与创新型国家的差距越来越小。从全球硬科技发展来看，发达国家在高端装备制造和高技术设备领域竞争日益激烈竞争态势将持续，传统工业强国仍是智能制造的领军者。反观我国，硬科技大量聚集在战略新兴产业和高新技术产业的底层技术上，虽然存在差距，但整体来说已经缩进不少。举几个例子。案例一，芯片。从国际情况来看，我国大陆的芯片企业在晶圆代工、芯片设计、封装测试和半导体设备等细分领域与行业领军企业相比还有相当大的差距。本土芯片设计上市企业汇顶科技、紫光国微、兆易创新、金智科技和圣邦电子2019年的研发投入占营业收入的比例都不低，但是研发投入最多的汇顶科技也只有 10.8 亿元。根据半导体行业观察统计，在晶圆代工领域，台湾企业台积电是绝对的王者。台积电为保持先进制程，近年来其研发投入不断攀升，研发投入占营业收入的比例平均为7%，高于多数同行，且毛利率一直维持在50%左右。中微半导体在2019 年的研发投入占营业收入的218%，高于一般竞争对手，但在规模上与国际巨头有一定差距，仍有非常大的成长空间。综上所述，在国际上，芯片及硬件技术的创新发展实现了持续的增长，高速增长的背后是芯片领域各大企业保持高水平研发投入的结果。案例二，5G。珠穆朗玛峰实现5G视频通话、2021春晚依托于5G+8K技术进行首播、通过“云监工”5G实时直播观看火神山雷神山的搭建进度、借助于5G手机5G网络畅玩游戏……从2019年开始，世界各国纷纷加入到5G建设的队伍中，争相抢夺这块“大蛋糕”。数据显示，截至今年3月底，我国建成5G基站81.9万个，占全球70%以上；5G在工业领域和经济社会各领域的应用示范项目已经超过1万个。在政策牵引下，我国运营商广泛布局，华为、中兴等通信老兵带头冲锋，我国5G已经领先全球。甚至引发外国政府的联合围堵。当然，创新药、航空等“硬科技”领域也取得了不俗的成绩。一言以蔽之，硬科技领域汇聚了一系列能够引发产业革命，引领新一轮跨越式发展的关键技术。3.硬科技创新，已成为必然趋势前文业已提出，随着人口红利和要素驱动发挥的作用越来越小，创新驱动和产业升级逐渐成为推动经济发展的重要部分。其次，科技创业作为科技成果转化的最有效方式之一，正在技术研发和产业发展之间架起一条快速转化的通道。特别是原创性、重大性、期覆性研发成果，在往是通过成立新企业的方式进行转化的。为了破除长期以来对西方的“依赖心理”，我国在底层技术上不断投入人才与资源进行突破。比如，华为在半导体方面的投入，以及最近发布的鸿蒙系统。第三，硬科技创新始终与商业模式存在千丝万缕的关系，商业模式的创新离不开硬科技技术应用转化。在“AI+IOT”时代，硬科技作为基座，能够更好地放大一切商业模式。当前，科技创新进入密集期，每隔一段时间就会出现新的科技领域，每一个新的领域或者学科之间正在相互融合。比如，人脸识别与安防产业的融合；小米将智能硬件上下游打通，通过股权收购、产业孵化等形成战略联盟，构建了“小米生态链”的商业模式。最后，随着“ABCD+5G”技术逐渐普及，数字化逐渐成为经济发展新动能，这就需要“芯片”、“新材料”、“新能源”等“硬件”支持。比如，除了欧美大国外，新加坡、荷兰等新兴国家在2019年正式加入AI竞争行列。同样，中国各大城市也不甘落后，上海正在打造全球顶级生物医药产业集聚区，深圳正在打造智能制造产业创新中心，西安正在打造全球硬科技之都。总结一下，对于硬科技发展趋势，米磊博士等人总结为以下六点：第一，发展硬科技已经成为创新型国家的普遍选择；第二，硬科技创新向底层技术延伸；第三，硬科技创新促进学科融合；第四，硬科技创新与商业模式创新互动发展；第五，硬科技与产业发展一体化；第六，硬科技发展加速产业变革和经济格局重塑。当前我国发展正处在建设创新型国家、实现经济由高速增长向高质量增长转变的关键期，也是由工业大国向工业强国转型的关键期。同时，结合通过对德、日、美等国在科技创新方面的经验考察，米磊等人总结道：发展硬科技创业既是产业转型升级的必然选择，也是我国应对中美贸易摩擦、参与全球科技竞争的重要路径。 四、总结哲学家培根曾这样评价中国的科技发明贡献：印刷术、火药、指南针这三种发明已经在世界范围内把事物的全部面貌和情况都改变了。但可惜的是，古代中国并没有好好地利用这些发明。鸦片战争“轰”开了国门，也让清王朝（近代中国）重新认识了科技的威力。事实上，我们不缺人才，缺的是“长期主义者的投资态度”和“科学主义者的开拓精神”。硬科技需要长期研发投入、持续积累才能形成的原创技术，同时也是具有极高技术门槛和技术壁垒，难以被复制和模仿。发展硬科技意味着做高新技术的创新者和开拓者，而不再是模仿者。要想做到高新技术的创新者和开拓者，不光需要过硬的技术，还需要过硬的精神。流水不争先，争的是滔滔不绝。尽管早些年，我们在科技创新上一直是跟随欧美，“吃着”欧美的创新红利。但是，“十年磨一剑”，随着人才、环境以及政策的配套落地，中国科技创新将会迎来新的发展契机。不管是政府机构的领导干部，还是科研院所的专家、学者，亦或是想要在硬科技领域创业的创业者，每一位有志于在科创领域做出贡献的人，现在，都有必要了解硬科技的趋势与未来。正如犹太学者所言：如果我不做，就没有人会做，而现在，是时候了。
In this episode of The IoT Unicorn Podcast, Rene Haas, President Intellectual Property Group at Arm, discusses the development of edge devices and the 5G wave. Download Transcript Here 00:00 PETE BERNARD: Rene, thanks again for joining us here on the IoT Unicorn. I was trying to remember the last time actually we saw each other face-to-face. That's something that we do these days. I think it was Barcelona 2019 or something. It was a while ago. But again, thanks for joining us today. 00:23 RENE HAAS: You are welcome. I wasn't sure if it was CES of 2020, but... 00:28 PETE BERNARD: It could be. 00:28 RENE HAAS: Gosh, you might be right. Barcelona, 2019. My gosh, over 18 months ago. 00:32 PETE BERNARD: Yeah, that was a long time ago. Well, CES 2020 was our last... It was kind of the last hurrah for events, although going to Vegas always has its potential infection rates of all sorts of things going on there, but... Not in that case, but... Cool, yeah, no, it's good to see you again, and we've known each other for a little while and worked on some interesting projects, so it was great to have you on the show, and obviously very timely with the DevSummit coming up and some recent news that we'll talk about as well. But maybe you can give us and the listeners a little background on your journey to where you're at as President of Arm IP. 02:07 RENE HAAS: So my role at Arm is I run the IP products group. Our acronym is IPG, Intellectual Property Products Group, and that's the sales marketing development of all of our products, GPUs, CPUs, NPUs for the markets that we serve, the client market, infrastructure market, automotive autonomous and IoT. I am in the Bay Area now, but I've had a fun journey at Arm. I have spent seven years at Arm, but only a few years in the Bay Area. I was in Shanghai, China for two years, and I was in the UK for three, living in London, commuting to Cambridge. And I just came back to the Bay Area at the beginning of 2020, and... 02:50 PETE BERNARD: Are you an original California person or what's your... Where is your home base? 02:54 RENE HAAS: I'm originally from Upstate New York. Yeah, I'm, originally from Upstate New York. 02:58 PETE BERNARD: Wow, cool. 02:58 RENE HAAS: My dad was a Xerox guy, so I was a son of a Xerox guy working in... He was working in Rochester, New York, which is where I grew up. And then I came out to California in the mid-1990s, and I've been here ever since. 03:12 PETE BERNARD: I'm a New Jersey person myself, so that's something we have in common, the Tri-state area. Although Rochester is pretty far up state there. 03:21 RENE HAAS: Serious snow country. 03:22 PETE BERNARD: Serious, yes. Good, good. Excellent. So you've been at Arm for a while then, and you also spent a little bit of time at Nvidia. 03:31 RENE HAAS: I did, I did. I'm gonna pre-fetch probably your next set of questions, but before I spent... 03:37 PETE BERNARD: No pun intended. 03:38 RENE HAAS: Seven years at Arm I was with Nvidia for seven years doing a number of different roles there, but primarily in the notebook graphics space, GPUs, as well as Arm-based CPUs that went into all different types of laptops including the very first Surface that was running Windows 8 on Arm. 04:00 PETE BERNARD: Yes, those were the days. I had one of those. A lot of us up in Redmond had one of those. [chuckle] Unfortunately, not a lot of the other people had them. That was the problem. [chuckle] But, so cool. So now sort of full circle, just to touch upon that topic, Nvidia and Arm. For you, it's kind of break out the old badge, I guess... 04:20 RENE HAAS: Yeah. It's something that came live last Monday. Obviously, the rumors had been out for a number of weeks, so some people were surprised, but some people were not so surprised when it finally was announced to everyone actually last Sunday. It was supposed to be on Monday, and then we pulled it forward to Sunday. We're actually very excited about it at Arm, we think it's a really, really amazing opportunity. Nvidia is an amazing company, has done some fantastic things over the years obviously. And Arm efforts around client and data center, autonomous and such. When we think about what's going on in the next wave of computing where everything is gonna be touching something that is around artificial intelligence, I think the opportunities for the two companies to be a combined entity in this new area of computing, the opportunities are somewhat limitless. 05:17 RENE HAAS: So we're quite excited. Me, on a personal level, sometimes when these M&A things [05:21] ____ talking to the company on either side, there's a lot of questions of, "Do I know these folks? And can we really understand what their language is?" But for me, having spent equal amount of time in both places, I feel very fortunate to be in a position to be where we are on this, and it should be very exciting. And someone over there even pinged me not long after the announcement and said, "Hey, your email address is still available." So it's interesting how things circle back. 05:55 PETE BERNARD: Yeah, yeah, I wonder if you get credited those seven years at Nvidia as part of your Arm tenure. So how that works I'm not sure. 06:00 RENE HAAS: You know what, that's a really good question. I haven't... 06:03 PETE BERNARD: You might get a double hit on that one. 06:06 RENE HAAS: Yeah. In fact [06:08] ____ Pete, that was not on the FAQ. That's a good one. I'm gonna go check on that. 06:14 PETE BERNARD: Well, one of the things that's happened over the past number of years, what's been super exciting working with Arm is kind of the proliferation of where Arm is, the Arm silicon showing up. And you mentioned the early experiments, early efforts I should say, on Windows on Arm, but we had kind of a relaunch or a re-emergence of that tech a couple years ago, and I know I had the pleasure of working with you guys on that. So Windows on Arm, Windows on Snapdragon and all that stuff, it seems to be kind of a resurgence now on that as well. So what are your thoughts there? 06:50 RENE HAAS: Oh gosh. And as I mentioned, the history with working with Nvidia and Arm and Microsoft for me goes way back. And having worked on the original Surface product, that was basically what we called [07:06] ____ back in the day. And if I just think back to the value proposition we were hoping to get from those systems, it was really around extended battery life, always on, always connected, things like that. But you go back those years, there was no connectivity story, so those were just obviously purely WiFi devices. And the app story was really, really incomplete. I remember meeting with analysts early on and one of the biggest questions that I got asked when we were going to press reviews was, "Will it run iTunes?" And the answer to that question at the time was, "No." And that was a bit of a killer, if you just think about how people were getting access to music back and when these products came out. Fast-forward to now, the landscape is so different when you just think about, A, how many of our applications exist in the Cloud? B, the devices that have been introduced by third-party OEMs and as well as Microsoft. You have these amazing connectivity type of solutions that are brought forward by Snapdragon, so there's a great story in terms of connectivity. There's a great story in terms of app compatibilities on Windows 10 with everything running across. So we... 08:19 PETE BERNARD: Including iTunes, by the way. So iTunes now runs on that. 08:23 RENE HAAS: ITunes runs. And I bet you if I went through and asked that analyst and told them that iTunes ran successfully on these Windows devices, he would not care. But yeah, the experience is great. We use a lot of them inside of Arm. In fact, when I was living in the UK, I used to use it all the time on the train because the WiFi was actually spotty on the train and the cellular worked pretty good, and it was a great device to use. And not the least of which, I would literally leave my power supply back in the flat during the day. I wouldn't bring it with me, wouldn't need it. And so the devices have really, really advanced, and then there's just more great things to come. 09:04 PETE BERNARD: Yeah, fantastic. I use the Galaxy Book as my main PC and yeah, it's a game changer. When you don't have to worry about power and connectivity, all of a sudden, it's like a behavioral change in how you use a PC, so it's pretty cool stuff. And then I guess the other big thing where you're making a lot of headway with partners is in the Cloud and sort of bringing a lot of low-power. A lot of times, people think of low-power as battery life, but it's not just battery life, it's just low-power, a greener, more smarter consumption of power, overall, especially in a big data center. 09:42 RENE HAAS: Yeah, no, that's exactly right. Arm has been working on products for the data center for actually a long time. Even from back in the time when I was at Nvidia, Arm was working with early partners around SSEs for the data center and such. Like everything else, over 10 years a lot of things have changed. Confluence of a lot of work being done on the engineering side to get great products. We've gone from 32-bit to 64-bit. The performance has increased. Geometries have also gone in such a way that you've gone from 10 to seven to five nanometre type of technologies now, so you can get some really, really powerful type of processing. And then just again, like any technology trend, you need a confluence of a number of things to take place. 10:32 RENE HAAS: 10 years ago, we were thinking largely about the enterprise; we weren't thinking as much about the Cloud. And what has happened with everything moving towards the Cloud, to your point, it's put such a premium on data efficiency, on power. These Cloud data centers typically have a very, very fixed power budget and a very fixed area where they put the compute capacity. So efficiency really, really matters, it's really, really important. And we continue to innovate in this area. We've introduced some new products. Our Neoverse V1, which has scalar vector processing for HPC and high-end computing. Our N2 platform, which is 40% more efficient than our N1 platforms. And we've seen some of the large hyperscalers including AWS who have announced products based upon our N1 with their Graviton2 processor. And they've talked very publicly about a 40% power advantage at the same performance level versus the competition. So yeah, it's very real and people might think, "Oh, my gosh, it's happened overnight." And you've been in this industry a long time, you know it doesn't. 11:46 PETE BERNARD: That's right. 11:47 RENE HAAS: It's a long, long effort by a lot of partners and a lot of people inside of Arm. But yeah, now I think confluence of a lot of things in the marketplace, it's really starting to take off. 11:56 PETE BERNARD: Yeah, it's true. For a lot of things, it's a matter of the right time and the right tech and the right need for it to all come together. Actually, interesting anecdote, just to circle back to the PC discussion. We were first working on the Windows on Snapdragon PCs, we had a big beta test inside of Microsoft and we handed them out to all of our engineering managers and stuff. And we started to get bug reports that the battery meter was not working right because it was just always full. And it turned out the battery meter was working fine, it's just people weren't used to the fact that this thing would last for whatever, 20 hours. And so it was an interesting discussion with folks that that's actually how it's supposed to work. 12:38 RENE HAAS: Which is game changer, like you said. 12:41 PETE BERNARD: Yeah, yeah. So let's get to IoT. This is called the IoT Unicorn, so we might as well dig into that. Probably the real fascinating things happening on the edge, the far edge, the near edge. The definition of the edge depends on where you're standing, I guess. But Arm at the edge and things that are happening out there, what do you see as disruptions that we should be expecting beyond the incremental things getting faster and less power, but what's the view there? One of the interesting things for our listeners that aren't aware is an IP license is like pretty far up the food chain. So you get probably one of the best long-term views of what's happening in the business over the next, whatever, five years. But be curious on the IoT and edge side, where do you see things heading? 13:30 RENE HAAS: Yeah, no, it's a great question. And that area is evolving fast. Even over the last number of years, we've seen a real acceleration of activity, innovation in that space. And particularly around the area of that these edge devices are increasingly becoming small computers in of themselves. When IoT kicked off with VIGOR inside of Arm, we were talking to companies about this. It included a small microcontroller with potentially a sensor and a Bluetooth connector that could send the data back somewhere. Now you're talking about a heavy degree of compute power, you're talking about machine learning at the edge. Increasingly, we have partners who are looking to not only use our micro-controllers that have extensions for machine learning, but even tiny MPUs, tiny ML doing some level of inference at the edge. 14:24 RENE HAAS: And with that, you have a much different requirement for security because now these devices are small computers, they're dealing with a tremendous amount of data, the data needs to be protected, you need to ensure that you have an architecture that will keep the data secure. So we've done a lot of work with our partners around an innovation that we call the platform security architecture, which does a number of things. We've done a lot of work over the years around Root of Trust and things at that nature. With this platform security architecture, we actually allow for third parties to certify the devices that will essentially assure a level of data encryption and security going up the line. And with that, I think it just all feeds onto itself relative to... These are small computers, these small computers are doing more and more compute intensive tasks, they're sending more and more data through the Cloud, you then have 5g that is also adding more bandwidth and more compute capability. So what that basically means is you just start pushing from the data center to the edge, the amount of compute capacity is going up exponentially. 15:41 RENE HAAS: And I think over the next number of years, these edge devices are gonna become even more powerful and more sophisticated in terms of their capability. And you'll have a very interesting trade-off between the applications that run with that edge device at the node next to it, things that are cloud-native where the app can be running in a number of different spots. I think also you're gonna see huge innovation. And that's gonna mean certain things like autonomous entities. Not necessarily cars. Obviously cars are the most popular areas that get a lot of attention, but drones and robotics and things that can run at a much more sophisticated way, factory floor robotics, all kinds of things around managing warehousing, things of that nature. All of this is gonna become much more intelligent and much more sophisticated. 16:27 RENE HAAS: And then, back to the Nvidia/Arm potential about the edge of AI, these devices will learn, they'll get smarter. And as they get smarter, that again builds on having the compute capabilities. I know it sounds a bit of a cliche, and I've been around the industry probably to see at least a number of these waves of computing, but we're definitely into another very large one. And 5g, because of the additional bandwidth, is gonna be able to enable a lot of that. 16:55 PETE BERNARD: Yeah. I think I had this discussion with Rob Tiffany from Ericsson on the last episode or two episodes ago, but we were talking about the confluence of 5g, AI and IoT, sort of three, these... It's like peanut butter, chocolate and whatever the third thing is. But I haven't... The metaphor breaks down after that. It's like you get these ultra low latency, high performance networks combined with AI, which you could either do at the edge or the cloud or somewhere in between, with the concept of Internet of Things, which is just things connected to the Cloud and sending intelligent data back and forth and actuating in real-time. And then all of a sudden, you've got some really potential transformative scenarios there, right? 17:34 RENE HAAS: Yeah. 17:36 PETE BERNARD: And so I think... So it's sort of like... And I've had Qualcomm on the show before and other folks, and we talk about IoT being a team sport, that that statement of 5g, AI and IoT is an interesting example 'cause you need lots of different companies to come to the table to work together on behalf of a customer problem, 'cause it all starts with a customer having a problem that they need solved. And, yeah, I agree with you. You mentioned also about the fact that we're bringing AI horsepower into MCU devices or really tiny edge devices that previously were controlling a light switch are now going to be smart, and be able to learn and execute AI models. And I think that's fascinating. 18:22 RENE HAAS: Yeah. And you still have to get into... And by the way, I like that peanut butter and chocolate analogy, which are two of my favorite ingredients on [18:28] ____. You just need a third, but... 18:29 PETE BERNARD: [chuckle] Peanut butter, chocolate and more chocolate, I don't know if that's fair or not. 18:32 RENE HAAS: But similar to... One of the stories I like to talk about is a bit of what these new waves of technology enable. When we went from 3g to 4g, and I know you and I both were around for that, people were not talking about the fact that 3g to 4g was going to enable a brand new ride sharing capability, and it was gonna be able to enable people to rent their homes for vacations and such. Yet Airbnb, and Uber, and location bearing apps and things you can do on a smartphone all came through with that. I think the same thing is true for 5g and IoT. It's a little hard to completely imagine all of the possibilities that can happen. There's a lot of smart people and, as you said it, it takes a village of a combination of chip people and OEMs and software and makers to come up with a lot of ideas to advance this. But it will be there because there's such a profound shift of compute power that's gonna exist in these edge devices that is going to allow for a lot of really, really interesting potential. So it's gonna be really exciting to see. 19:37 PETE BERNARD: Let me kind of cut into one blurb here around AI Toolchain, because I believe one of the things we've done with Arm and I think should be announced for DevSummit, if not, we'll edit it out, but we've come to some agreement with you, I believe, to integrate your AI Toolchain into Azure. 19:56 RENE HAAS: Yeah. 19:56 PETE BERNARD: One of the things is around... ML Ops is a kind of a hot term, but how do you leverage a hyperscaler cloud to develop and train models and then manage those models across the edge to the cloud securely on updating these edge devices with new AI capabilities or models or trainings and tunings? And so your Toolchain's kind of at the core of a lot of that for a lot of Silicon partners, so the ability to sort of integrate that Toolchain into Azure for our customers should be a big deal, right? 20:26 RENE HAAS: Oh, it's a really, really huge opportunity. We're actually quite excited about it. We do a lot of work on the Toolchain with Compute Libraries and frameworks and different things to allow folks to develop solutions for ML at the edge, and I think we probably have as many people in our ML group doing hardware MPUs and also are doing the software libraries and frameworks. So it's really, really large. And you're reaching a brand new set of developers, if you will, and think about a Raspberry Pi or an Arduino-like platform for people who are developing things for the edge. If you can now allow those to integrate, upscale into the Azure cloud framework, because all of this tiny data becomes big data in the cloud, and then ultimately it can get serviced in such a way that end users can benefit. It's actually a really exciting thing and we've been partners with Microsoft for such a long time in a broad set of areas. I'm very excited to be involved here as well. 21:27 PETE BERNARD: Yeah, that'd be great. Hey, so DevSummit. We're on the eve of DevSummit or the day one of DevSummit. I'm not sure what the publication timeline is here, but it's a big deal. It's very exciting. Obviously this year kind of highly virtualized, but still exciting. Do you have any kind of words of wisdom if you're an attendee for DevSummit? What are some of the things you wanna look for or try to get out of? And maybe first time visitors or whoever, how do people really grok the scene? 21:57 RENE HAAS: It's a big change on a couple fronts. Obviously, first off, it's virtual. It's not live. So that's for starters. So go to your favorite search engine and search for DevSummit and you get all the details about registering and such, but we have moved it to a virtual event. For those of who are saying, "Okay, it's virtual, I get it, but I've never heard of DevSummit. Tell me what DevSummit is," DevSummit is the re-branded name of a show we used to call TechCon. And so, TechCon was the show we had every fall. And it used to be in Santa Clara for many years and we moved it to San Jose the last couple of years. So, what's new is old, what's old is new. It's the TechCon show that we're now targeting really more towards... Broadly towards developers, although I would say we think 60% of the folks who have registered are self-proclaimed or self-identified software types, versus about 40% hardware types. 22:54 RENE HAAS: We've got about 4000, 5000 people already pre-registered. We think we'll have a bit more when the time comes. It will be very broad, as Arm typically is in nature. We'll be talking about things like cloud native, chip design, autonomous vehicles. It will run the gamut of all the areas that we're involved in, relative to what it takes to integrate Arm IP and an SoC and what do you need to know about hardware libraries and partners in that space, versus everything around open source software and popular development tools and operating environments that we just talked about on the software space. There will be a lot of emphasis around autonomous, which is a pretty hot area. A lot of areas also around cloud native. You'll see the typical key notes from Simon, myself and some of the other leaders inside of Arm. I would also encourage folks to tune in because there will be some special surprise guests. I won't... 23:56 PETE BERNARD: I can imagine. 23:57 RENE HAAS: Give that away at this point of time, but it should be a very, very interesting and fun event. We have our annual Arm partner meeting every August. I think you've been to it. It's not a public event, it's an NDA event. But I bring that up just in the context of... We've had one rodeo with doing this thing virtually. So I'd like to think we've got some good practice in terms of things that... The dos and don't-'s in terms of doing something from a virtual standpoint. But yeah, it should be very, very good. We're looking forward to it. 24:26 PETE BERNARD: Cool. Yeah, it's interesting, Microsoft's done a number of events now virtual and I don't think we published the data but my understanding is the engagement we get because it's virtualized, we get so much broader engagement, we get so many more people quote, unquote, "attending" and engaged in the content than you would if it was only a... You had to get on a plane and go somewhere. So I think one of the nice by-products, if there is a nice by-product out of all this craziness, is we are all building more muscle about how to enable people to be more engaged regardless of where they are. And especially when you talk about developers, developers everywhere in the world and there should be. And now to be able to enable them to plug in and get educated and learn some new things, that's a fantastic by-product. 25:13 RENE HAAS: Yeah, yeah. No, you're completely right. We'd love to do these events live versus virtual, but when I think about the size of the developer community that exists... Arm is a fairly broad platform, as you know, and it would be really hard to figure out events that could bring all the potential developers who work on Arm... And it's all over the place. There are apps developers, there are kernel developers, there are people who do open source software, it's a broad, broad community. So we're actually kind of excited to do this thing virtually. It'll be a bit of a lab test to see how that works in terms of reaching the development community in a virtual way, but we're looking forward to it. 25:53 PETE BERNARD: Cool, awesome. Well, lots of stuff going on at Arm these days. And so it was great again to connect, Rene. I think hopefully we'll keep in touch here as things transform into Nvidia landscape. Maybe you'll get those extra years on your seniority. [chuckle] But that would be great. 26:14 RENE HAAS: I should get some credit somehow for that. I am going to talk to Jensen about that next time I have our consultation with him. 26:21 PETE BERNARD: Yeah. Cool. Well, good. Any last closing thoughts? It sounds like we've really covered [26:27] ____ here today. 26:29 RENE HAAS: [26:29] ____ I appreciate it and [26:29] ____ as I mentioned, I was listening to some of the podcasts you had done prior and I really enjoyed them and I'm very, very honored on behalf of Arm to join you and be part of what you're building here. It's really cool. 26:43 PETE BERNARD: Sounds good. Alright, Rene. Well, take care and I'm sure our paths will cross again. 26:48 RENE HAAS: Alright, great. Thanks. 26:50 PETE BERNARD: Alright, take care. Thanks.
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For Amanda, who is involved in the client support side, gaining a deeper understanding of their experiences and identifying potential needs for their product is of the utmost importance. Amanda also generates web analytics reports based on the client's website data that the company has collected. Amanda talks about the changes in traffic and customer acquisition strategies in recent years, including marketing campaigns. Almost all B2C companies as well as some B2B companies, even in traditional industries, have been expanding and diversifying channels in an effort to broaden their marketing reach using social media campaigns and social media marketing. Amanda also speaks about how a lot of companies have built their own accounts on the popular Chinese social medias. Given the diversification of internet services, the ranking of social media giants in China has changed dramatically. Users moved on to newer platforms such as QQ, Weibo and WeChat in recent years, with the most up-and-coming of them being ByteDance. She goes on to say that people spend less time on search engines because people don't need to search anymore with the invention of machine learning. She then talks about companies in China having a unique relationship with customers and that brand loyalty is key. Building brand loyalty is hard and takes a tremendous amount of time and resources, but once built it is set in stone and hard to lose. Amanda describes data-driven marketing and operations as the key to success in today's world, and not just in China. Omnichannel aggregation data is integrating into our websites, converting to massive insights. It's the key to knowing our customers, knowing what they want and how to give it to them and on which platform and at what price. She also mentions that this data and insight is also what drives marketing decisions and direction. Finally, Amanda talks about how marketing and operations will go beyond digital, and how more advanced technology, including AI, VR, et cetera, will benefit people working in the industry in the very near future, with the widespread move to 5G playing a large role in that. She believes that we will enter the age of IoT, the internet of things. And IoE, internet of everything. And even AI IoT, combining AI technologies with IoT.
Recently I participated in IoT Tech Expo Europe in Amsterdam on 27-28 June. It was a fascinating event to feel the pulse of the industry, how things stand and where the industry is heading to. In this episode I want to bring you some of the highlights, essential take home messages. This event is one of the biggest ones of its kind in Europe with nearly 9000 attendees. It had a few sections, including AI, IoT, Blockchain. At least half of the exhibitors were related to blockchain. However, in this episode in order to have some focus, I'll concentrate more on the former two fields. Enjoy this episode! Raw transcript is available at: https://www.thehardwareentrepreneur.com Enjoy and take a look at the highlights below to get a glimpse of topics discussed. What is the IoT Tech Expo in Amsterdam all about? When expectations and investments rise (too) high in AI/IoT Some healthy developments in AI – Aiir Innovations Need for investments in AI – Asgard Another application of AI/IoT – predictive maintenance Emerging startups at IoT Tech Expo and their use cases Interview with Aiir Innovations on their AI innovation and how the future of AI looks like
Usman Shuja is the GM & Head of Industiral IOT at SparkCognition – the leading provider of AI solutions for IOT - who recently closed a $57m Series B with Verizon Ventures, Boeing, CME Ventures, Brevan Howard Investment Holdings and Invenergy Future Fund. Usman is a thought leader in machine learning, cognitive computing, security, and industrial IoT – he sits on Forbes Technology Council - and also an international cricketer. Usman discusses how he made the journey from international cricketer to GM at a leading AI scale-up using AI to create the mind of a data scientist the “Moneyball 2.0” approach to sports science & sports talent: “Moneyball on steroids” For more insights into AI and IOT check out https://www.sparkcognition.com and for advice on hiring world class talent for start-ups & scale-ups head over to http://alpinasearch.com
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