Podcasts about google cloud ai

In this episode of Game Time Tech, Robert Kramer and Melody Brue, VP and Principal Analysts at Moor Insights & Strategy, dive into the intersection of sports and technology. Explore how cutting-edge technologies like AI, data analytics, and personalized fan experiences are transforming Major League Baseball, The Masters Golf Tournament, and the Intuit Dome. Highlights include: MLB's Data Evolution with Google Cloud: Data and AI are enhancing fan engagement, team strategies, and broadcasting through platforms like Google Cloud's BigQuery. Masters Golf Tournament's AI Innovations: IBM's Generative AI is powering predictive insights for fans with features like "Every Shot" and "Every Hole" in The Masters app. Inside the Intuit Dome: A look at advanced fan experience technologies, including facial recognition for entry, autonomous stores, and real-time analytics, powered by Teradata. Mercedes-Benz's Cutting-Edge In-Car Experience: Technology is transforming connectivity, from live sports streaming to Zoom calls integrated directly into vehicles. Fan Behavior and Smart Stadiums: How data-driven technologies are shaping stadium interactions, from personalized fan experiences to autonomous retail systems.

We're coming to you LIVE from the ProveIt Conference in Dallas, TX, where we're witnessing one of the most groundbreaking manufacturing and industrial automation events in history. Hosted by Walker Reynolds and the 4.0 Solutions team, ProveIt brings together 36+ vendors, industry leaders, and a massive community to showcase real-world digital transformation solutions—all connected to a unified namespace (UNS) virtual factory.In this episode, Dave and Vlad from Manufacturing Hub go behind the scenes with Walker Reynolds, discussing:✅ The vision behind ProveIt – What it takes to create a community-driven industry event✅ How vendors were challenged to solve real-world problems using real factory data✅ Key takeaways from top presentations – Tulip, Litmus, Concept Reply/Snowflake, Google Cloud, Dell Native Edge, and more✅ Lessons learned from integrating 36 vendors into a single, fully functional UNS✅ The future of ProveIt – What's coming for 2026 and beyond

《馬力歐陪你喝一杯》節目製作第八年！喝一杯經典「人物故事訪談」繼續耕耘，陸續探索這世界有趣的靈魂們！ ▲本集內容 這集來賓，我們約的很臨時，原因是他短暫來到台灣，當然不能錯過訪問機會！他是Google Cloud新創與AI事業總經理，李漢麟，大家都習慣稱呼他James。 James的背景非常有意思，父母是台灣人，但在夏威夷出生，小時候在台灣待過7年，後來去加拿大唸書，畢業之後幾乎一路都是從事科技產業。 好奇為什麼想從事科技業？James笑說，自己蠻宅的，很小的時候父母買電腦給他，他很快就迷上，也喜歡漫畫、電動，所以進入到科技產業幾乎是自然而然的事。 James在科技產業，主要都是從事「跟人」有關的事，有做過一段時間顧問、諮詢，還有做商業開發、業務等。好奇待在這些跨國企業，需要到處出差、飛行，該怎麼保持自己身心狀態健康？ 另外，目前AI盛行，他怎麼看待這一波AI熱潮、以及未來的趨勢、還有怎麼看待小孩在AI時代的未來和學習。 James作為跨國企業高階主管，會怎麼給現在年輕人的職涯發展建議呢？最後也問了他，跟這麼多新創公司互動，自己沒有想過創業嗎？猜猜看他的答案是什麼？ 對了，James雖然念的是資管和商管，但是他大學時候，曾經同時唸音樂學校的鋼琴演奏，還曾經想要當職業鋼琴演奏家，雖然現在只是當作興趣，但是James也說出了學鋼琴對他工作上的三個好處，超酷的吧！ ▲本集使用的音樂：Impressions (Acoustic) by Robert Alan DunnCreative Commons CC BY SA 3.0Robert-dunn-15 – Impressions-acousticSee omnystudio.com/listener for privacy information.

Tune in for a thought-provoking discussion on the challenges and opportunities of integrating AI in education, featuring highlights from insightful conversations with experts like Rajen Sheth (CEO of Kyron Learning and former VP of Google Cloud AI, Jennie Megiera (Google's Global Head of Education Impact), and more. In this episode, they delve into five key takeaways for school leaders.

This episode of the Eye on AI podcast is sponsored by JLL. JLL's AI solutions are transforming the real estate landscape, accelerating growth, streamlining operations and unlocking hidden value in properties and portfolios. From predictive analytics to intelligent automation, JLL is creating smarter buildings, more efficient workplaces and sustainable cities. To learn more about JLL and AI, visit: jll.com/AI     In this episode of the *Eye on AI* podcast, we explore the world of AI at Google Cloud with Nenshad Bardoliwalla, Director of Product Management for Vertex AI.   Nenshad unpacks the three core layers of Vertex AI: the Model Garden, where users can access and evaluate a diverse range of models; the Model Builder, which supports model fine-tuning and prompt optimization; and the Agent Builder, designed to develop AI agents that can perform complex, goal-oriented tasks.   He shares insights into model evaluation strategies, the role of Google's Tensor Processing Units (TPUs) in scaling AI infrastructure, and how enterprises can choose the right models based on performance, cost, and regulatory requirements.   Nenshad also delves into the challenges and opportunities of AI prompt optimization, highlighting Google's approach to ensuring consistent outputs across different models. He discusses the ethical considerations in AI design, emphasizing the need for human oversight and clear guardrails to maintain safety.   Whether you're in AI, tech, or curious about AI's potential impact, this episode is packed with insights on next-gen AI deployment.   Don't forget to like, subscribe, and turn on notifications for more episodes!     Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Introduction to Nenshad Bardoliwalla & Vertex AI (01:52) Overview of Vertex AI's Three Core Layers (05:35) Nenshad's Journey to Google Cloud (06:36) Choosing the Right AI Model (08:00) Google's AI Infrastructure & Tensor Processing Units (TPUs) (10:15) Model Builder: Fine-Tuning & Prompt Optimization (12:11) Agent Builder: Building AI Agents with Tools & Planning (17:57) Model Evaluation & Prompt Management (21:23) Generative AI for Business Analysts (23:24) AI Model Modality & Use Case Selection (25:23) Popularity Distribution of AI Models (28:18) Prompt Optimization Tools (34:20) Building AI Agents: Real-World Use Cases & Ethical Safeguards (40:13) The Capabilities & Limitations of AI Agents (45:48) TPU vs. GPU (50:33) Future of AI at Google Cloud

James Bayly is COO and a cofounder at SubQuery, building fast, flexible, and scalable web3 infrastructure. Subquery is an infrastructure company that started as a data index and has now expanded to include RPCs and AI inference hosting. Why you should listen Subquery is expanding its infrastructure services to include AI inference hosting, aiming to bring decentralization to the AI space. The Subquery network incentivizes node operators and delegators to participate in hosting AI models. In 10 years, blockchain technology will be seamlessly integrated into applications, providing censorship resistance and privacy protection.  SubQuery is developing the next generation of Web3 applications for a global user base, with decentralization at its heart. At the core of this initiative is the SubQuery Network, an advanced infrastructure layer that supports decentralized data indexers and RPCs—essential tools for anyone developing decentralized applications (dApps). This network marks SubQuery as a contender against traditional centralized services by providing an open platform for node operators and delegators to contribute. The potential for AI to reshape industries, including Web3, has caught SubQuery's attention. The company is actively integrating AI functionalities into its decentralized framework. SubQuery's focus lies primarily on AI inference—utilizing pre-trained models to analyze new data, rather than training new models. “While there are commercial platforms that host inference for custom models, similar offerings are sparse in the Web3 realm,” James explained. “Our decentralized network is for trustworthy, enduring AI model hosting.” Currently, the AI inference market is controlled by centralized cloud services, which charge steep fees and utilize customer data to refine their proprietary models. “Big players like OpenAI and Google Cloud AI are not just costly; they also use your data to bolster their private solutions,” James pointed out. In contrast, SubQuery is dedicated to offering an affordable, open-source option for hosting production AI models. “Our aim is to enable users to deploy a production-ready LLM model on our network within just 10 minutes,” he added. Through the SubQuery Network, cutting-edge hosting for the latest open-source AI models will be available, providing scalable and accessible AI services for Web3. By adopting a community-based strategy, SubQuery aims to facilitate decentralized AI inference on a large scale, empowering a global community of independent Node Operators. Supporting links Stabull Finance SubQuery Andy on Twitter  Brave New Coin on Twitter Brave New Coin If you enjoyed the show please subscribe to the Crypto Conversation and give us a 5-star rating and a positive review in whatever podcast app you are using.  

Today I'm joined by one of the founding team members of Google Assistant and all round AI legend, Vlad Vuskovic. Vlad has been instrumental in Google's AI efforts from a product management perspective and joins us to share more on the AI tools and capabilities Google offers enterprises, as well as some practical advice for implementing successfully based on years of experience in the field. Hosted on Acast. See acast.com/privacy for more information.

“Predictive analytics uses historical data, statistical algorithms, and machine learning to identify the likelihood of future outcomes. It helps anticipate customer behaviour, optimise marketing strategies, and improve ROI." Select Appropriate AI Tools: Choose AI tools like IBM Watson, Google Cloud AI, or Amazon SageMaker for predictive analytics based on your specific needs and capabilities. Prepare and Analyse Data: Collect and preprocess your data using tools like Trifacta, and apply relevant predictive algorithms to uncover actionable insights. Implement and Optimise: Deploy your predictive models, monitor their performance, and continuously improve them with platforms like H2O.ai to enhance customer engagement and marketing ROI. Cambridge Marketing College http://marketingcollege.com Neil Wilkins Online https://neilwilkins.online/category/metaverse-marketing/

On this episode of DevOps Dialogues: Insights & Innovations, I am joined by serverless product management team lead at Google, Steren Giannini, for a discussion on Google Cloud AI and the impacts on application modernization. Our conversation covers: The impact of Gen AI applications Refactoring all applications to leverage AI models Kubernetes to migrate to the Cloud, getting started with Cloud Run These topics reflect ongoing discussions, challenges, and innovations within the DevOps community.  

How will AI impact personalized learning in the future? How can AI supercharge humans and improve student outcomes? Join EdHeads host AJ Gutierrez as he chats with Rajen Sheth, CEO of Kyron Learning and former VP of Google Cloud AI. AJ and Rajen explore how AI can enhance personalized student learning experiences as they delve into the potential benefits of AI in supercharging human learning in the classroom.  AJ and Rajen discuss specific technology tactics and principles educators will leverage while maintaining a human-centered approach to learning. Listen in and join the conversation at EdHeadsPod.com! To learn more about Kyron Learning, visit kyronlearning.com

Welcome back to the third episode of L.I.F.T.S. bringing you the Latest Industry Fitness Trends and Stories hitting the headlines and stirring up some debate.   LIFTS is back to delve into this week's news and delivered by hosts Matthew Januszek, Co-Founder of Escape Fitness and Mo Iqbal, Founder & CEO of Sweatworks,. This week, the pair are joined by Jessica Yarmey, Founder of franchise kickboxing studios, KickHouse. Jessica is also in the process of launching new boutique fitness concept, FlexSociety. Every week, our intrepid hosts discuss the breaking news, providing their own perspective on the headlines whilst provoking thoughts and conversations, all delivered in a quick-fix, 30-minute podcast. Today's discussion is driven by the following news agenda: The intersection between fitness and health with a focus on tech. The Potential Impact of weight loss drugs on the fitness industry and beyond.  Peloton offers live NBA and WNBA game from its entertainment hub.  Gym Shark partners with Google Cloud AI to improve customer experience and drive growth. ====================================================== Subscribe to our YouTube channel and turn on your notifications so you never miss a new video when it's published: https://www.youtube.com/user/EscapeFitness Shop gym equipment: https://escapefitness.com/shop View our full catalog:  https://escapefitness.com/support/catalog https://escapefitness.com/support/catalogue  ====================================================== Facebook: https://www.facebook.com/Escapefitness Instagram: https://www.instagram.com/escapefitness Twitter: https://www.twitter.com/escapefitness LinkedIn: https://www.linkedin.com/company/escapefitness/

Tune in to a special edition Cloud N Clear hosted by Tony Safoian, President and CEO of SADA, and features an EXCLUSIVE interview with George Kurian, CEO of @NetApp. Get a behind-the-scenes peek of NetApp's stunning HQ, and listen in on an engaging conversation between two top-tech CEOs. Everything from AI to the future of #cloudcomputing is covered – you will not want to miss this one.   Don't forget to LIKE, SHARE, & SUBSCRIBE for more engaging content! ✅

On this episode of The Six Five – On The Road, hosts Daniel Newman and Patrick Moorhead welcome Warren Barkley, Director, Product Management, Google Cloud AI for a conversation on Google's decades of investments in research and AI, what innovating with Generative AI while maintaining standards of ethics and compliance looks like, and a glimpse into the future of AI from Google's perspective. Their discussion covers: What uniquely positions Google Cloud to rise to the challenge and opportunity in front of Google today The latest Generative AI innovations Google Cloud is bringing to enterprises today What makes Google Cloud the partner of choice for enterprises embarking on their Generative AI journey How Google is balancing the need to innovate and move fast, with the need to be responsible, secure, ethical, and compliant A look ahead at the future of AI from Google's perspective

Google Cloud's latest AI updates and partnerships, to the US Copyright Office's call for opinions on AI and copyright issues, this episode is packed with insights and analysis. The show also features papers on vector search and the security risks of generative AI, highlighting the need for ethical guidelines and methods for detecting and mitigating these risks. Contact:  sergi@earkind.com Timestamps: 00:34 Introduction 01:32 Google AI Updates from their Developer Keynote 02:45 US Copyright Office wants to hear what people think about AI and copyright 04:36 ChatLZMA – text generation from data compression 05:54 Fake sponsor 08:03 Vector Search with OpenAI Embeddings: Lucene Is All You Need 09:23 When Do Program-of-Thoughts Work for Reasoning? 11:09 Identifying and Mitigating the Security Risks of Generative AI 13:01 Outro

Returning as the guest expert in this episode of the SEO Leverage Podcast is Joe Fier from Hustle & Flowchart. The time between his previous appearance is remarkably short due to the tremendous feedback received after Episode 109. Gert believed it was fitting to have him back for a more extensive conversation about podcasting. When your aim is to convey your message and you're clear about your intention, purpose, and underlying motivations, your audience will naturally connect with what you're saying. It delves into a more profound exploration of your journey, comprehensively charting the process of executing a swift podcast launch. Then monetization naturally follows. There are effective ways to monetize directly on your show, either through guesting, sponsorship, membership and forums.  Find out more by listening to this episode.  you wouldn't want to miss. Podcast Highlights: 00:00 Prologue 00:53 Podcast Intro 01:53 Welcoming back Joe Fier to the show 03:03 Leverage your intention to create a deeper connection with your audience through your podcast. 05:08 The guesting approach 07:37 How can you prepare for guesting? 10:10 What is a cheat sheet and how does it help guests on a show?  11:51 How has podcasting changed with the onset of AI?  14:29 When starting a podcast, what are some of the things that can be postponed so as not to worry too much? 17:54 How to use your podcast as lead generation for your business and vice-versa as a guest on other shows? 23:32 Ways to get your podcast off the ground. 28:49 Effective ways to monetize directly on your show. 31:54 How do you use your podcast to be a direct line for people to become a customer? 34:58 How to create a community around a podcast even if it is only available in audio version? 37:42 The value in connecting listeners in a community, like a Facebook Group, membership platform or forums. 41:21 How does Joe Fier's team go about helping people who want to succeed in podcasting? 47:51 Where to connect with Joe Fier? 49:01 End   Resources:  Chat GPT - https://chat.openai.com/ Perplexity - https://www.perplexity.ai/ Google Cloud AI - https://research.google/teams/cloud-ai/ Overcast - https://www.overcast.com/ Community Platform App, Skool - https://www.skool.com/   Connect with Joe Fier: Website - Hustle and Flowchart - https://hustleandflowchart.com/ Get the PDF of the Cheat Sheet on how to leverage a podcast - hustleandflowchart.com/seoleverage Email - Joe@hustleandflowchart.com   Connect with Gert Mellak: Website: https://seoleverage.com/ Email: info@seoleverage.com  

Join Chetna Sehgal, Senior Managing Director at Accenture and Global Practice Lead for the Accenture Google Business Group, in an enlightening conversation with Erwan Menard, Director of Product Management for Google Cloud AI, as they explore the transformative world of generative AI. From the impact on data privacy to the re-energizing of the workforce, they delve into the nuances, challenges, and opportunities presented by this technology. Discover how enterprises can harness the power of generative AI while ensuring ethical practices, optimizing resource usage, and realizing value. Tune in to unravel the complexities of this groundbreaking technology and understand how it can shape the future of businesses and individuals alike.

In this episode, we discuss Apple's announced Vision Pro, the annoyance of the GPT buzzword, Salesforce and Google Cloud AI offerings, Brett Taylor's play for CEO, and Salesforce as a job title.

生成式AI，為何短期內迅速崛起？機器學習如何應用於ESG，如何開創友善地球環境的未來？

生成式AI，為何短期內迅速崛起？背後有哪些重要條件？機器學習對各行各業的影響，有哪些與你我切身相關的例子，引起市場關注？本集科技領航家節目，繼續把錄音室帶到AI EXPO Taiwan的展覽會場，特別邀請到Google Cloud台灣技術副總林書平Harry，從生成式AI的崛起，談到AI在科技業、金融業、運輸業的多元應用，甚至包括半導體產業跨部門的整體效率提升，及客服方面跨語言的語意辨識等。延伸到ESG領域，聚焦綠能與節能，AI帶來哪些效益與驚奇？又有哪些AI倫理方面的風險需要留心？歡迎收聽！ 代班主持人李知昂與Google Cloud台灣技術副總林書平(右)，在AI EXPO直播訪談現場

In episode #03 of the This Day in AI Podcast we talk about Microsoft's Updates to the Bing ChatBot and Discover if Sydney is Still Unhinged. We Cover New Models like Amazon's Multimodal, Discuss AI Memories and How Soon Before AI is a Threat to Humanity. Learn About OpenAI Foundry, RunwayML and AI in the Enterprise thanks to OpenAI's Partnership with Bain & Company.00:00 - AI a Threat to Humanity?01:05 - Is Bing Chatbot "Sydney" still Unhinged?03:03 - Bing's Response to Kevin Roose06:50 - Is Bing Chatbot Evil?8:06 - Is the Internet Bing AI Chatbots Memory? Will AI develop Memory?10:15 - Bing's Sydney Chatbot Making Threats Again13:34 - Is AI Unhinged Because of Social Media? 14:14 - Prompt Injection Cat & Mouse14:52 - Is ChatGPT Sentient? Learning with Prompts17:26 - The Skill of Prompting AI and What is Coming20:00 - AI Wars: Bing Vs Bard, Is Google Seriously In Trouble?24:36 - Amazon AI Model: Multimodal Chain-of-Thought Reasoning31:51 - OpenAI Foundry. What is AWS thinking?  Google Cloud AI?37:26 - Open AI Partnership with Bain & Company. AI in the Enterprise.41:05 - Will All Neural Net Models Join to Create a Super AI?43:35 - How Long Until AI is a Threat to Humanity (Continued)47:10 - How will Enterprise AI handle hallucinations? 49:58 - Influencing AI Through Training Data. AI SEO?53:25 - RunwayML: Zero Budget CGI for Film Makers56:20 - Microsoft BioGPT: Specialized AI Models59:15 - BasedGPT Prompt Injection: How would you take over the world?#ai #bingchat #dan #promptinjection #microsoft #bing #chatgpt #openai SOURCES: https://www.reddit.com/r/bing/comments/11a7rpu/sydneys_letter_to_the_readers_of_the_new_york/ https://twitter.com/sethlazar/status/1626257535178280960 https://twitter.com/tobyordoxford/status/1627414519784910849 https://twitter.com/davidad/status/1627474041396142082?s=46&t=zPfxo4dLsUU6d5S0RgiH7g https://twitter.com/balajis/status/1627744768062066724?s=20 https://twitter.com/emollick/status/1627452330017783811 https://www.reddit.com/r/bing/comments/117nx5g/does_anyone_else_feel_people_dont_know_whats/ https://twitter.com/AlphaSignalAI/status/1628104093318119451/photo/1 https://arxiv.org/abs/2302.00923 https://twitter.com/transitive_bs/status/1628118163874516992?s=46&t=4KszsLtOxd5ENKFLEXN7qw https://twitter.com/tunguz/status/1628027051503386624?s=20 https://www.bain.com/vector-digital/partnerships-alliance- https://blog.opencagedata.com/post/dont-believe-chatgptecosystem/openai-alliance/ https://twitter.com/karenxcheng/status/1627721862565482496?s=46&t=zPfxo4dLsUU6d5S0RgiH7g If you enjoy this podcast please consider subscribing, liking the video and leaving us a comment with feedback.

Are you eager to know more about AI? In this episode, Aishwarya Srinivasan, Google Cloud AI, talks about her journey, Data S1cience, choosing your specialization, How to up-skill, Building your brand, and much more! #data #datascience #python #machinelearning #analytics #ai #bi #artificialintelligence

Episode #9 of "Can I get that software in blue?", a podcast by and for people engaged in technology sales. If you are in the technology presales, solution architecture, sales, support or professional services career paths then this show is for you! Your hosts Steve Mayzak and Chad Tindel are joined by Brian Stevens, CEO of Boston-based Deep Learning Startup Neural Magic. Brian was previously CTO and VP of Google Cloud and also the CTO and EVP of Red Hat. We start off the episode by learning about how Neural Magic is democratizing access to sparse deep learning models and then dive into topics of AI/ML and how it affects the world around us.   Contact us on Twitter or LinkedIn to suggest companies or tech news articles worthy of the podcast! Our website: https://softwareinblue.com Twitter: https://twitter.com/softwareinblue LinkedIn: https://www.linkedin.com/showcase/softwareinblue Make sure to subscribe or follow us to get notified about our upcoming episodes: Youtube: https://www.youtube.com/channel/UC8qfPUKO_rPmtvuB4nV87rg Apple Podcasts: https://podcasts.apple.com/us/podcast/can-i-get-that-software-in-blue/id1561899125 Spotify: https://open.spotify.com/show/25r9ckggqIv6rGU8ca0WP2 Stitcher: https://www.stitcher.com/podcast/can-i-get-that-software-in-blue Rephonic graph: https://rephonic.com/graph/can-i-get-that-software-in-blue Neural Magic Series A: https://neuralmagic.com/blog/neural-magic-series-a/ NYC AI bias audits: https://www.protocol.com/bulletins/nyc-ai-hiring-tools Ray-Ban Stories Glasses: https://www.ray-ban.com/usa/discover-ray-ban-stories/clp Ireland Tax Deal: https://www.cnbc.com/2021/10/08/oecd-reaches-deal-on-corporate-tax-after-ireland-agrees.html

In this episode of SaaS Connect by Cloud Software Association, Naresh Venkat, head of ML/AI Product Partnerships at Google at the time of the recording, but now co-founder and COO at Osmos, discusses how SaaS can supercharge with Google AI products. Google is an AI business, and this presentation covers the unique value of machine learning within partnerships as well as Google AI opportunities: There are only around two million machine learning experts who really know what they're doing, but the vast majority of people who use applications are developers and business users, so Google wants to help pass on what they know to them. Google AI products include: 1. Google Translation 2. Google Photos 3. Gmail Smart Reply 4. AlphaGo 5. Google Cloud AI 6. Contact Centre AI Because there are so few people who can create custom ML models today, Google's goal is to empower more users to help enterprises put AI into production, hence the partnership opportunities. Cloud AI building block products, classified into the following categories: sight, language, conversation. Focused AI in Google's key verticals. Where's a good place to start with AI for companies who have established datasets and workflows but are not AI companies (although plan to adopt AI in the future)? Resources Mentioned: Chevron ExxonMobil BigQuery Thank you to our amazing podcast team at Content Allies. Want to launch your own B2B revenue-generating podcasts? Contact them at https://ContentAllies.com

This week's guest is Sercan Arik, Research Scientist at Google Cloud AI. Sercan and his collaborators recently published a paper on TabNet, a deep neural network architecture for tabular data. It uses sequential attention to select features, is explainable, and based on tests Sarjan and team have done spanning many domains, TabNet outperforms or is on par with other models (e.g., XGBoost) on classification and regression problems.Subscribe: Apple • Android • Spotify • Stitcher • Google • RSS.Detailed show notes can be found on The Data Exchange web site.Subscribe to The Gradient Flow Newsletter.

Stephanie Wong and Priyanka Vergadia host the podcast this week as we talk responsible AI with guests Craig Wiley and Tracy Frey. Vertex AI, the newly released AI platform from Google, is where Craig starts, telling us that it helps seamlessly integrate AI best practices into AI projects. When designing and building machine learning projects, it’s important to plan and integrate functions that support a responsible model as well. Tracy and Craig help us understand the process of designing and building these responsible, efficient projects, from problem identification and data set collection and refinement to ethical model considerations and finally project construction. Part of Responsible AI is considering all the stakeholders of a project and how they will be impacted. Through examples, Tracy demonstrates how businesses can decide if the software solution affects stakeholders in a way the business would be proud of. Starting in the planning stages and continuing through data collection and model training, companies employing responsible AI techniques will consider input from groups that may use or be affected by the model, from social scientist who specialize in human behavior, and others. Craig elaborates on these principles in the context of Vertex AI and how the time savings of Vertex could be used to make thoughtful, responsible AI decisions. Craig teaches us more about Vertex as we wrap up the interview. Its ability to analyze data and perform ongoing model monitoring make for richer, more accurate projects. Tracy talks about the future of Responsible AI and how the marriage of tech and humanity will continue to produce ethical, effective AI projects. Craig Wiley Craig is the Director of Product for Google Cloud’s AI Platform. Previous to Google, Craig spent nine years at Amazon as the General Manager of Amazon SageMaker, AWS’ machine learning platform as well as in Amazon’s 3rd Party Seller Business. Craig has a deep belief in democratizing the power of data, and he pushes to improve the tooling for experienced users while seeking to simplify it for the growing set of less experienced users. Outside of work he enjoys spending time with his family, eating delicious meals, and enthusiastically struggling through small home improvement projects. Tracy Frey Tracy Frey is Google Cloud AI & Industry Solution’s Managing Director of Outbound Product Management, Incubation and Responsible AI and is dedicated to ensuring Google Cloud AI & Industry Solutions is responsible, thoughtful, and collaborative as it continues to advance artificial intelligence and machine learning. She has been at Google for more than 10 years where she has worked on many different products and areas. Before joining Google she worked at multiple early-stage tech startups where she held multiple functions including product management, developer relations, product marketing, business development and strategy. Prior to her life in tech she taught children traditional wilderness survival skills, taught in a traditional classroom, studied private reserves in Costa Rica and has been a professional hip hop dancer. Cool things of the week Cloud CISO Perspectives: May 2021 blog The cloud developer’s guide to Google I/O 2021 blog Interview Responsible AI site Staying ahead of the curve – The business case for responsible AI article Building responsible AI for everyone site Cloud Storage site BigQuery site Data Cloud Summit site Applied ML Summit site GCP Podcast Episode 249: ML Lifecycle with Dale Markowitz and Craig Wiley podcast AI Edition Google’s Tracy Frey: Creating Responsible AI podcast TensorFlow Responsible AI Toolkit site What’s something cool you’re working on? Priyanka has been working on the Vertex AI video series. Episode 1 and episode 2 are available now!

Learn how to get started with Google Cloud AI tools. Original blog postMore Google Cloud Reader here

Jenny Brown co-hosts with Mark Mirchandani this week for a great conversation about the ML lifecycle with our guests Craig Wiley and Dale Markowitz. Using a real-life example of bus cameras detecting potholes, Dale and Craig walk us through the steps of designing, building, implementing, and improving on a piece of machine learning software. The first step, Craig tells us, is to identify the data collected and determine its viability in an ML model. He describes how to get the best data for your project and how to keep the data, code, and libraries consistent to allow better analysis by your ML models. He talks about the importance of a Feature Store to aid in data consistency. Craig explains how machine learning pipelines like TensorFlow are great tools to improve consistency in the ML environment as well, making it easier to improve your model and even to build new ones using the same data. Keeping this consistency from data scientist analyzation to ML developer to model deployment means a more efficient process and product. Evaluating models after production is an important step in the lifecycle as well to ensure accuracy, validity, and performance of the model. Craig gives us some examples and tips on monitoring models after they’ve been deployed. We talk about the challenges of scaling ML projects and Craig offers advice for developers and companies looking to build ML projects. Dale Markowitz Dale Markowitz is an Applied AI Engineer for ML on Google Cloud. Before that, she was a software engineer in Google Research and an engineer at the online dating site OkCupid. Craig Wiley Craig is the Director of Product for Google Cloud’s AI Platform. Previous to Google, Craig spent nine years at Amazon, as the General Manager of Amazon SageMaker, AWS’ machine learning platform as well as in Amazon’s 3rd Party Seller Business. Craig has a deep belief in democratizing the power of data, he pushes to improve the tooling for experienced users while seeking to simplifying it for the growing set of less experienced users. Outside of work he enjoys spending time with his family, eating delicious meals, and enthusiastically struggling through small home improvement projects. Cool things of the week Introducing GKE Autopilot: a revolution in managed Kubernetes blog At your service! With schedule-based autoscaling, VMs are at the ready blog Interview Google Cloud AI and Machine Learning Products site GCP Podcast Episode 240: reCAPTCHA Enterprise with Kelly Anderson + Spring ML Potholes with Eric Clark podcast Using machine learning to improve road maintenance blog Key requirements for an MLOps foundation blog TensorFLow site Kubeflow Pipelines site TensorBoard site How to dub a video with AI video Can AI make a good baking recipe? video Machine learning without code in the browser video What’s something cool you’re working on? Jenny started a new podcast that reads interesting Google blog posts over at Google Cloud Reader. Our friend Dr. Anton Chuvakin started the Cloud Security Podcast by Google. Read more about it and listen here. Follow the show and hosts on Twitter Cloud Security Podcast Anton and Tim And listen to Anton on the GCP Podcast Episode 218: Chronicle Security with Dr. Anton Chuvakin and Ansh Patniak.

Does an electric model of the iconic muscle-car signal the future for the motor industry? Plus, the founder of Wikipedia Jimmy Wales tells us why he thinks his new social network can lure people away from Facebook and Twitter. And the head of Google Cloud AI talks to us about solving the "black box" problem. Presented by Rory Cellan-Jones, with BBC tech reporter Chris Fox, and special guest Kate Bevan, the editor of Which? Computing. (Image: The unveiling of the Ford Mustang Mach-E, Credit: EPA/ RINGO CHIU).

This week I talk to Dr. Karina Montilla Edmonds about her story into STEM. This mama of three works at Google Cloud AI & Machine Learning as the bridge between the Google Cloud AI team and leading university research labs in artificial Intelligence. Prior to this she worked at Caltech as the Executive Director of Corporate Partnerships. She has a PhD in Aeronautics from Caltech, and worked for many years at NASA Jet Propulsion Laboratory. 

Google's latest step into job search domination takes the form of their search API. Wanna know what it is? Gotta listen. This update will apply Google Cloud AI capabilities to helping companies provide more relevant job opportunities to a wider candidate base. Beans spilled by College Recruiter's Steven Rothberg. Enjoy this Talroo exclusive.

My guest today is Shannon Vallor, a technology and A.I. Ethicist. I was introduced to Shannon by Karina Montilla Edmonds at Google Cloud AI — we did an episode with Karina a few ago months focused on Google's A.I. efforts. Shannon works with the Google Cloud AI team on a regular basis helping them shape and frame difficult issues in the development of this emerging technology.   Shannon is a Philosophy Professor specializing in the Philosophy of Science & Technology at Santa Clara University in Silicon Valley, where she teaches and conducts research on the ethics of artificial intelligence, robotics, digital media, surveillance, and biomedical enhancement. She is the author of the book 'Technology and the Virtues: A Philosophical Guide to a Future Worth Wanting'.   Shanon is also Co-Director and Secretary of the Board for the Foundation for Responsible Robotics, and a Faculty Scholar with the Markkula Center for Applied Ethics at Santa Clara University.   We start out exploring the ethical issues surrounding our personal digital lives, social media and big data, then dive into the thorny ethics of artificial intelligence.   More on Shannon: Website - https://www.shannonvallor.net Tweitter - https://twitter.com/shannonvallor Markkula Center for Applied Ethics - https://www.scu.edu/ethics Foundation for Responsible Robotics - https://responsiblerobotics.org __________   More at: https://www.MindAndMachine.io

Some last-minute Apple rumors arrive, Qualcomm's new smartwatch chip extends battery life, and there's a revolving door between Google Cloud AI and academia.

Today we take a look at Google's work in Artificial Intelligence and Machine Learning. My guest is Dr. Karina Montilla Edmonds. Karina works at Google Cloud AI & Machine Learning as the bridge between the Google Cloud AI team and leading university research labs in artificial Intelligence. Prior to this she worked at Caltech as the Executive Director of Corporate Partnerships. She has a PhD in Aeronautics from Caltech, and worked for many years at NASA Jet Propulsion Laboratory. We explore the various Artificial Intelligence divisions at Google, what it means for the company to be focused on "AI First", and how artificial intelligence can transform our world. More at: https://www.MindAndMachine.io

Matt Ingebretson and Jake Weisman, the stars and co-creators of the new Comedy Central series CORPORATE talk about their own experiences in corporate America and the irony doing their new show for corporate conglomerate Viacom.  They discuss why they wanted a darker tone than typical workplace comedies, how they convinced Lance Reddick to play their tyranical boss, and why they took on the one holiday you that can’t make fun of in their season finale.  Plus Matt and Jake talk about development hell, marvel at the modern wonder of a simple banana, and reveal why everyone’s a number at Amazon. CORPORATE airs Wednesdays at 10/9Central on Comedy Central.  For more information, go to www.cc.com/shows/corporate.  Follow Matt Ingebretson and Jake Weisman on Twitter at @mattingebretson and @weismanjake.  Today's podcast was sponsored by Google Cloud AI, The Looming Tower on Hulu, and Grasshopper.

Comedian Whitney Cummings talks about the humbling experience of being a first time director on her film The Female Brain, how she learned that every moment doesn’t have to be a joke, and why she says The Female Brain isn’t just for the ladies.  She shares how she broke free of a cycle of co-depency once she started understanding the neurochemistry behind her bad choices and why she says it’s a lot harder to come up with jokes when you don’t have all that none-stop drama.  Whitney weighs in on the Me Too movement and hints that the new Roseanne reboot (which she's executive-producing) might just help us understand how middle-America went for Trump.  Plus, Whitney talks about being a lady comedian in the Middle East, those women who see Marilyn Monroe as a feminist role model, and how she almost accidentally killed Sofia Vergara. The Female Brain opens in theaters Friday, February 9.  For more information, visit www.ifcfilms.com.  Order Whitney’s very funny book I’m Fine…And Other Lies on Amazon, and you can keep up with her at www.whitneycummings.com or on twitter at @WhitneyCummings.  Today's episode was sponsored by Google Cloud AI.

This week Robbie takes his turn in the Ford Bronco Raptor while Sam has the Expedition Timberline. Nicole drives the Honda HR-V up to Vermont to drive the Land Rover Defender Trophy Edition.In the news Honda announces a big investment in electrification in Ohio and that its joint venture with Sony will produce new EVs from 2026. Toyota has moved from Amazon to Google Cloud AI to power its voice services and Polestar has revealed the 3 crossover in full. We also answer listener questions.LinksSony Vision S-02Honda-Sony EV coming in 2026Electrify America UpdateToyota drops Amazon for GooglePolestar 3Our Sponsors:* Check out Express VPN: https://expressvpn.com/WHEELBEARINGSAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy