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5 episodes with smart ai
2 episodes with smart ai
2 episodes with smart ai
2 episodes with smart ai
This week's episode brought to you by Indy Wrestling US, Slice on Broadway, Sidekick Media Services and listeners like you at www.Patreon.com/AwesomeCast Here's a detailed podcast description for this episode of AwesomeCast, including bulleted summaries of the news stories and gadgets discussed, along with relevant links extracted from the spreadsheet: Hosts: Michael Sorg, Katie Dudas, and Dave Podnar Welcome to another episode of AwesomeCast, where we dive into the latest in tech, gadgets, and digital trends! This week, we cover a range of topics, from near-Earth asteroids to the latest iPhone video tech and even a trip down memory lane with old-school memory cards. Let's get into it!
This week's episode brought to you by Indy Wrestling US, Slice on Broadway, Sidekick Media Services and listeners like you at www.Patreon.com/AwesomeCast Here's a detailed podcast description for this episode of AwesomeCast, including bulleted summaries of the news stories and gadgets discussed, along with relevant links extracted from the spreadsheet: Hosts: Michael Sorg, Katie Dudas, and Dave Podnar Welcome to another episode of AwesomeCast, where we dive into the latest in tech, gadgets, and digital trends! This week, we cover a range of topics, from near-Earth asteroids to the latest iPhone video tech and even a trip down memory lane with old-school memory cards. Let's get into it!
e501 with Michael R and Andy - all about outsourcing intelligence to #AI, protecting your #data after #death, #AR #glasses, #Diablo & #Civ game ports, #backdoors and more!
Franchise Now's AI agents and automated services for franchises give you access to hundreds of tools and advanced automation to streamline and scale your enterprise. More details at https://franchisenow.ai/ Franchise Now City: Colorado Springs Address: 860 Robbie View Website: https://franchisenow.ai
AI幫你基金健檢！助攻績效再升級！2024年表現最好的基金類型是誰？美股、印度、科技型、黃金等都很不錯，但你有布局嗎？有些投資人買了很多基金，但都不知道實際的配置如何，股債比重、債券的存續期間等，就連表格控佑佑都喊著難掌握！ 但現在基金平台，如「基富通」推出「好享Check」基金健檢服務，可以了解實際個股的資金部位、債券的詳細資訊、自己的投資風格、甚至回測基金組合的歷史績效，幫助投資人掌握投資組合的真實面貌，助攻績效再升級！ 追蹤我們獲得理財的最新情報：
In this episode, we dive into the transformative world of AI, data analytics, and cloud infrastructure with Josh Miramant, CEO of Blue Orange Digital. As a seasoned entrepreneur with over $25 million raised across ventures and two successful exits, Josh shares invaluable insights on scaling data-driven businesses, integrating machine learning frameworks, and navigating the rapidly evolving landscape of cloud data architecture. From generative AI to large language models, Josh explores cutting-edge trends shaping financial services, real estate, and consumer goods. Tune in for a masterclass in leveraging data for impact and innovation! Links https://blueorange.digital/ https://blueorange.digital/blog/a-data-intelligence-platform-what-is-it/ https://blueorange.digital/blog/ai-makes-bi-tools-accessible-to-anyone/
Sam Basu is a technologist, author, speaker, Microsoft MVP, and gadget-lover and is the Developer Advocacy Manager for Progress Software. With a long developer background, he now spends much of his time advocating modern development platforms & tools on Microsoft/Telerik technology stacks. His spare time calls for travel, fast cars, cricket, and culinary adventures. You can find him as @samidip on the internet. Topics of Discussion: [3:09] Sam shares his career journey and more about his background as a developer. [5:18] Meeting the users where they are and the importance of adaptability. [8:07] What kinds of use cases are available today for developers to use AI when it comes to UI? [9:15] The two-pronged approach to UI and UX. [13:33] Challenges and opportunities in AI integration. [16:21] Future of the user interface. [21:43] The AI models are exceptionally smart in understanding natural language. [25:41] How GitHub Copilot can help developers. [26:48] The limitations of GitHub Copilot. [30:46] The gap in training for developers for Copilot. [33:06] Use cases on Smart AI. [36:14] The importance of responsible AI development. Mentioned in this Episode: Clear Measure Way Architect Forum Software Engineer Forum Programming with Palermo — New Video Podcast! Email us at programming@palermo.net. Clear Measure, Inc. (Sponsor) .NET DevOps for Azure: A Developer's Guide to DevOps Architecture the Right Way, by Jeffrey Palermo — Available on Amazon! Jeffrey Palermo's Twitter — Follow to stay informed about future events! Sam on X Sam Basu Sam Basu Microsoft Smart UI Powered by AI ASP.NET Core Smart AI Components Sakura AI Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.
Join me as I chat with Omar Choudhry, a serial entrepreneur, as we dive deep into how to build and scale directories. Omar shares his strategies and frameworks for how to use AI and SEO to build and scale cash flowing directories.Episode Timestamps00:00 Intro04:26 Overview of GuiltyChef.com06:56 The Power of Schema in SEO14:04 Traffic 18:07 Monetization Potential24:34 Overview of bestdubai.com32:09 Live Cooking Session: Building a Directory35:47 Using Apify for Data Scraping39:54 Using Claude for organizing information and data44:01 Setting Up Zapier for Automation55:26 Formatting data on Claude 1:06:42 Building a Comprehensive Directory1) First directory: GuilteyChef.com- AI-generated recipes from top restaurants- Went from 0 to 100k monthly visitors in 7 months- Built in ONE week as a side project- Already monetizing with $2.99 recipe packsKey insight: People want to recreate restaurant dishes at home2) Second directory: BestDubai.com- Bought domain for $1.2k (incredible deal)- Competing with TripAdvisor in just 30 days- AI-generated reviews & scores- Automated everythingSmart move: Added referral tags to outbound links = restaurants see traffic source3) The Tech Stack - Webflow for website- Zapier for automation- Claude AI for content- Apify for data scraping- Google Sheets as input- Python snippets for formattingNo coding experience needed!4) The Secret Sauce: Schema markupOmar uses AI to generate perfect schema for each pageWhy it matters:- Helps Google understand content- Gets rich snippets in search- Ranks above established sites- Most competitors do this wrong5) The Process:1. Get place ID from Google Maps2. Scrape data using Appify3. Format data for Claude4. Generate content with AI5. Push to Webflow CMS6. Auto-generate everythingOne place ID = complete page with images, content & SEO6) Monetization strategies:- Premium recipe packs- Restaurant partnerships- Ingredient affiliate links- Sponsored listings- Brand partnerships- Custom AI toolsPro tip: Let restaurants find YOU through analytics7) Key Learning:You can now compete with giants like TripAdvisor using:- Smart AI automation- Proper schema markup- Geographic targeting- Language optimization- Clean UX designBudget needed: Under $2k The future of directories is here. Time to build!Want more free ideas? I collect the best ideas from the pod and give them to you for free in a database. Most of them cost $0 to start (my fav)Get access: https://www.gregisenberg.com/30startupideasLCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/BoringAds — ads agency that will build you profitable ad campaigns http://boringads.com/BoringMarketing — SEO agency and tools to get your organic customers http://boringmarketing.com/Startup Empire - a membership for builders who want to build cash-flowing businesses https://www.startupempire.coFIND ME ON SOCIALX/Twitter: https://twitter.com/gregisenbergInstagram: https://instagram.com/gregisenberg/LinkedIn: https://www.linkedin.com/in/gisenberg/FIND OMAR ON SOCIAL5 Day Sprint - Build with AI: https://www.skool.com/5-day-sprint/aboutInstagram: https://www.instagram.com/omarchoudhry/X/Twitter: https://x.com/OmarChoudhryLinkedIn: https://www.linkedin.com/in/omarchoudhry/?originalSubdomain=uk
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Support Good Morning Gwinnett $5.99 A MonthThe episode explores the transformative potential of smart AI agents for small businesses, highlighting PickAxe, a no-code platform that enables users to build and monetize custom AI tools without programming skills. PickAxe allows businesses to create "PickAxes"—AI-driven forms and chatbots powered by prompts, documents, and data sources. With PickAxe, users can build AI agents for tasks like customer support and product recommendations, customize them to reflect their brand, and even monetize these tools by launching them in branded "Studios," standalone web apps that bundle tools and manage subscriptions.Key benefits of PickAxe include:No-Code Builder: Easy creation of AI tools, accessible to non-technical users.Customizable AI Agents: Train AI with specific documents, websites, and data.Monetization: Set fees, manage accounts, and create passive income streams.Branding and Analytics: White-label options and user insights for optimization.PickAxe offers small businesses a way to improve efficiency, boost customer engagement, and unlock new revenue channels by creating AI tools tailored to their expertise and customer needs. With features like easy integration, robust analytics, and ongoing updates, PickAxe is positioned as a valuable AI solution for small businesses looking to harness AI's potential. Here is the link for you to get your own PickAxe. https://beta.pickaxeproject.com/?utm_campaign=AFFILIATE_5PFW1LW
In this episode, trainers Ron Miller and Jeff Bazer provide a comprehensive guide on using Picture Smart AI to analyze images in Excel spreadsheets. Whether learning about trends in sales data or exploring pivot charts, this episode equips JAWS users with tips to enhance productivity and extract valuable information from inaccessible visuals within spreadsheets.
TOPICS: Time off with family Inbox zero Getting everything DONE What systems do you use? Smart AI stuff? Machines and processes
In this episode of The Tech Optimist, Meera Oak, a Partner at Alumni Ventures, interviews Kareem Aly, co-founder and CEO of Kabata, about their innovative AI-powered dumbbells designed to enhance strength training by tracking workout metrics and providing real-time coaching. Highlighting the product's compact design and versatility, Aly explains how Kabata caters to both fitness enthusiasts and those with limited space. He also shares insights into their recent $5 million seed funding round led by Menlo Ventures, aimed at scaling production and marketing efforts ahead of their upcoming pre-order launch.To Learn More:Alumni Ventures (AV)AV LinkedInAV Healthtech FundTech OptimistKabataSpeakers:Meera Oak - GuestKareem Aly - GuestChapters:(00:00) - Intro (02:03) - Interview (14:55) - Ask to the Community (18:21) - Closing Legal Disclosure:https://av-funds.com/tech-optimist-disclosures
In this episode of "20 Minute Tech Tips," we discuss the enhancements made to the Picture Smart AI feature in the July update of JAWS 2024. Picture Smart AI describes image content using AI technology like, ChatGPT and Claude. One significant addition is the "all-in-one" command, which simplifies obtaining image descriptions by recognizing the context of the file or application in focus. We demonstrate using these commands on different types of images, such as files, PowerPoint slides, and web graphics, highlighting how the tool adapts to various contexts.
Listen in to improve your online shopping experience with the Picture Smart AI feature in JAWS. We'll provide an overview of the feature, discuss new enhancements, and show you how to navigate popular shopping sites, search for products, and generate image descriptions to gain deeper insights about products. In addition, you'll learn how to: Get image descriptions when searching for products via search engines and on shopping sites Filter results according to your specifications Gain valuable details about products, such as the color or pattern of a shirt or the layout of the control panel in an electronic device Add a product to the shopping cart and check out Locate required fields to fill out during the checkout process
20 Minute Tech Tips is back with another episode on Picture Smart AI. This time, we're showcasing the new Chat feature, and demonstrating how conversing with Picture Smart AI can help you fine tune your description results! Freedom Scientific Unveils Revolutionary PictureSmart AI for JAWS – Transforming Accessibility with AI-Powered Image Descriptions Announcing the launch of PictureSmart AI, a groundbreaking feature in the JAWS screen reading software that leverages artificial intelligence to provide detailed descriptions of images. (St. Petersburg, Florida – March 06, 2024)Freedom Scientific, a leading provider of assistive technology for individuals with vision impairments, is proud to announce the launch of PictureSmart AI, a groundbreaking feature in the JAWS screen reading software that leverages artificial intelligence to provide detailed descriptions of images. This innovative update marks a significant leap forward in accessibility technology, offering never before seen support for visually impaired users navigating digital content with screen reading technology. Empowering Users with AI Technology PictureSmart AI, found in JAWS and as part of Fusion, represents a major enhancement over its prior version, utilizing advanced AI algorithms to analyze and articulate what's in images, including those found on web pages, in emails, or within screenshots. This feature is designed to address the challenges visually impaired users face when encountering graphical content, transforming the way they access and interact with digital information. “This feature is more than just an innovation; it's a gateway to untapped potential, allowing our users to use JAWS to interact with images and graphics in ways previously unimaginable,” said Ryan Jones, Vice President of Software and a JAWS user himself. “By weaving the latest AI technologies into JAWS, we are not just enhancing user experience; we are redefining what's possible in accessibility. PictureSmart AI is a significant step forward in our commitment to empowering individuals with vision impairments to navigate the digital world with the same ease and depth as everyone else. We are excited to see how this technology will open new doors for our users, fostering greater independence and enriching their digital interactions.” Breaking Down Barriers With PictureSmart AI, JAWS users can now explore a whole new world of digital content. From detailed descriptions of charts and diagrams to social media posts to insights into screenshots of application windows, PictureSmart AI removes the longstanding barrier between visually impaired users and graphical information, ensuring everyone can fully participate in the digital age. “In our initial testing phase, we've observed an incredible range of applications by our users,” remarked Roxana Fischer, Product Manager for Blind and Low Vision Software. “The introduction of PictureSmart AI has empowered them to embark on activities previously out of reach, from exploring family photos to actively participating in screen-shared presentations and even navigating complex diagrams at school. This diversity in usage underscores the transformative potential of PictureSmart AI.” Innovation Inspired by Users The development of PictureSmart AI underscores Freedom Scientific's commitment to innovation driven by user needs. By harnessing the power of AI, Freedom Scientific aims to enhance screen reading technology further, enabling users to navigate the digital world with greater ease and confidence. Availability and Continuous Improvement PictureSmart AI is available in the March update of JAWS and Fusion version 2024. Visit the JAWS 2024 release notes to learn more and see examples. Freedom Scientific is committed to continuous improvement, ensuring PictureSmart AI evolves to meet the needs of our diverse user base
Summary In this conversation, Jonathan and Evan discuss the new features and updates in JAWS, a screen reader software. They focus on the Picture Smart AI feature, which uses AI to generate descriptions of images. They also talk about the Voice Assistant feature, which allows users to control JAWS using voice commands. Mohammed Laachir, a tech guru from Vispero, joins the conversation to provide more details about these features and how to use them. In this conversation, Mohammed Laachir discusses the latest updates and features in JAWS. The conversation covers topics such as Picture Smart AI, bug fixes, font smoothing technology, and math support. Mohammed also mentions upcoming features like chat functionality. The hosts also introduce upcoming changes to the BLT podcast, including the launch of BLT Bytes and a new podcast called Game Changers, focused on blind sports. Takeaways JAWS has introduced new features and updates, including Picture Smart AI and Voice Assistant. Picture Smart AI uses AI to generate detailed descriptions of images, making it easier for visually impaired users to understand visual content. The Voice Assistant feature allows users to control JAWS using voice commands, providing an alternative to keystrokes. Users can activate Picture Smart AI by enabling the Early Adopter Program in JAWS settings. The Picture Smart AI feature supports various commands, such as capturing screenshots and acquiring images from cameras or scanners. JAWS has introduced Picture Smart AI, which allows users to take a picture and have it described to them using AI technology. Bug fixes and improvements have been made to various features in JAWS, including table navigation and compatibility with Office applications. Xfont, a font smoothing technology, has been expanded in JAWS to improve the readability of magnified text. MathCat, an open-source math library, has been integrated into JAWS to provide better math support for visually impaired users. Upcoming features in JAWS include chat functionality, allowing users to interact with chatbots for assistance. The BLT podcast is introducing BLT Bytes, short episodes focused on beginner technology help tips and tricks. A new podcast called Game Changers will be launched, featuring interviews with blind and adaptive sports athletes. Quote of the Show "Just describe this picture, and it will go wild like it does with be my eyes and tell you everything that it can think of." Chapters 00:00 Introduction and discussion about gardening 03:14 Introduction of Mohammed Laachir and discussion about JAWS updates 05:34 Introducing Picture Smart AI and its capabilities 09:36 Activating Picture Smart AI and using its commands 14:48 Discussion about the Voice Assistant feature 18:26 Introducing Picture Smart AI: Describing Images with AI Technology 19:16 Bug Fixes and Improvements in JAWS 20:27 Expanding Xfont: Improving Readability for Low Vision Users 22:22 Math Support with MathCat in JAWS 28:22 Upcoming Feature: Chat Functionality in JAWS 30:13 Introducing BLT Bytes: Beginner Technology Help Tips and Tricks 32:14 Coming Soon: Game Changers Podcast on Blind and Adaptive Sports Thank you for listening to this episode of Blind Level Tech. If you enjoyed this episode and have any questions or comments for Jonathan and Evan, please call us at 720-712-8856 or email us at feedback@aftersight.org. Thanks and have a great week.
Joe Stolte, the innovative mind behind Daily AI, joins hosts Cameron and Anthony to navigate the exciting realm of artificial intelligence in modern-day investing and marketing. Engage with Joe's enriching narrative that intricately ties together his unique background in varying business ventures and how AI has become the powerhouse at the heart of entrepreneurship and investments. Resources: daily.ai Schedule your 15-minute call with Anthony or Cameron here: http://bit.ly/iwc15podcast Check our online course at www.InfiniteWealthCourse.com Buy Becoming Your Own Banker by R. Nelson Nash http://bit.ly/BYOBbookIWC
Clara Analytics is leading the way in encouraging insurance carriers to overcome hesitation and effectively utilize AI technology, ensuring competitive advantage and compliance in the evolving landscape of … Read More » The post Clara Analytics: Pioneering Success in Insurance Through Smart AI Adoption appeared first on Insurance Journal TV.
Clara Analytics is leading the way in encouraging insurance carriers to overcome hesitation and effectively utilize AI technology, ensuring competitive advantage and compliance in the evolving landscape of … Read More » The post Clara Analytics: Pioneering Success in Insurance Through Smart AI Adoption appeared first on Insurance Journal TV.
Clara Analytics is leading the way in encouraging insurance carriers to overcome hesitation and effectively utilize AI technology, ensuring competitive advantage and compliance in the evolving landscape of … Read More » The post Clara Analytics: Pioneering Success in Insurance Through Smart AI Adoption appeared first on Insurance Journal TV.
Listen in to our new series, 20 Minute Tech Tips. We're excited to kick off this new monthly podcast with a dive into Picture Smart AI, an all new feature in JAWS and Fusion as of March 2024. Freedom Scientific Unveils Revolutionary PictureSmart AI for JAWS – Transforming Accessibility with AI-Powered Image Descriptions Announcing the launch of PictureSmart AI, a groundbreaking feature in the JAWS screen reading software that leverages artificial intelligence to provide detailed descriptions of images. (St. Petersburg, Florida – March 06, 2024)Freedom Scientific, a leading provider of assistive technology for individuals with vision impairments, is proud to announce the launch of PictureSmart AI, a groundbreaking feature in the JAWS screen reading software that leverages artificial intelligence to provide detailed descriptions of images. This innovative update marks a significant leap forward in accessibility technology, offering never before seen support for visually impaired users navigating digital content with screen reading technology. Empowering Users with AI Technology PictureSmart AI, found in JAWS and as part of Fusion, represents a major enhancement over its prior version, utilizing advanced AI algorithms to analyze and articulate what's in images, including those found on web pages, in emails, or within screenshots. This feature is designed to address the challenges visually impaired users face when encountering graphical content, transforming the way they access and interact with digital information. “This feature is more than just an innovation; it's a gateway to untapped potential, allowing our users to use JAWS to interact with images and graphics in ways previously unimaginable,” said Ryan Jones, Vice President of Software and a JAWS user himself. “By weaving the latest AI technologies into JAWS, we are not just enhancing user experience; we are redefining what's possible in accessibility. PictureSmart AI is a significant step forward in our commitment to empowering individuals with vision impairments to navigate the digital world with the same ease and depth as everyone else. We are excited to see how this technology will open new doors for our users, fostering greater independence and enriching their digital interactions.” Breaking Down Barriers With PictureSmart AI, JAWS users can now explore a whole new world of digital content. From detailed descriptions of charts and diagrams to social media posts to insights into screenshots of application windows, PictureSmart AI removes the longstanding barrier between visually impaired users and graphical information, ensuring everyone can fully participate in the digital age. “In our initial testing phase, we've observed an incredible range of applications by our users,” remarked Roxana Fischer, Product Manager for Blind and Low Vision Software. “The introduction of PictureSmart AI has empowered them to embark on activities previously out of reach, from exploring family photos to actively participating in screen-shared presentations and even navigating complex diagrams at school. This diversity in usage underscores the transformative potential of PictureSmart AI.” Innovation Inspired by Users The development of PictureSmart AI underscores Freedom Scientific's commitment to innovation driven by user needs. By harnessing the power of AI, Freedom Scientific aims to enhance screen reading technology further, enabling users to navigate the digital world with greater ease and confidence. Availability and Continuous Improvement PictureSmart AI is available in the March update of JAWS and Fusion version 2024. Visit the JAWS 2024 release notes to learn more and see examples. Freedom Scientific is committed to continuous improvement, ensuring PictureSmart AI evolves to meet the needs of our diverse user base
Ever thought about how AI can amp up your T-shirt printing? We've got 5 smart AI ideas that'll transform your print shop from busy to buzzing! We're talking less grunt work, more genius work, all thanks to AI. Big shoutout to our sponsors SEPS.io and ShirtAgency.com for their support. Dive in to find out how you can make these AI ideas work for you. #TShirtPrinting #AI #PrintShopHacks #SEPSio #ShirtAgency
Ever thought about how AI can amp up your T-shirt printing? We've got 5 smart AI ideas that'll transform your print shop from busy to buzzing! We're talking less grunt work, more genius work, all thanks to AI. Big shoutout to our sponsors SEPS.io and ShirtAgency.com for their support. Dive in to find out how you can make these AI ideas work for you. #TShirtPrinting #AI #PrintShopHacks #SEPSio #ShirtAgency
While many are enthusiastic about AI, few companies have a smart roadmap in place for its development and implementation. Instead, many people either start from scratch and try to build the capability internally from zero, or buy up other AI companies without much of a plan.Jim Lecinski's approach, outlined in his book "The AI Marketing Canvas: A Five-Stage Road Map to Implementing Artificial Intelligence in Marketing," emphasizes the need for a structured and informed strategy. In this episode he elaborates on what that entails and how organizations can approach AI implementation in an informed way to ensure success for their business. Lecinski is an Associate Professor of Marketing at the Kellogg School of Management at Northwestern, he previously spent 12 years at Google. For Further Reading: https://www.amazon.com/Marketing-Canvas-Five-Stage-Implementing-Intelligence/dp/150361316Xhttps://www.mckinsey.com/capabilities/growth-marketing-and-sales/our-insights/how-generative-ai-can-boost-consumer-marketinghttps://www.gartner.com/en/newsroom/press-releases/2023-07-25-gartner-survey-reveals-growth-as-top-strategic-business-priority-shared-by-cfos-and-ceos#:~:text=Majority%20of%20CFOs%20and%20CEOs,survey%20by%20Gartner%2C%20Inc
ChatGPT: OpenAI, Sam Altman, AI, Joe Rogan, Artificial Intelligence, Practical AI
Tune in to witness the smart evolution of Bing Chat Enterprise as Microsoft unleashes an AI-powered revolution. Join the conversation to understand how this innovation will redefine the way we communicate and collaborate. Get on the AI Box Waitlist: AIBox.ai Join our ChatGPT Community: Facebook Group Follow me on Twitter: Jaeden_AI
Automating your classroom to reduce teacher burnout has never been easier before. If you've tinkered with idea of incorporating AI into your workflow, you're in the right place! I've been diving deep into the world of AI for a year now, and let me tell you – it's a game-changer for us teachers. We're talking a massive 30-40% time saved on grading and admin tasks. That's more time for coffee breaks and actual teaching!I've been on a quest to find the crème de la crème of AI tools. I'm talking about those all-in-one, Swiss Army knife kind of tools that save you time and keep you from feeling like you're juggling a million things. In this episode, we're going to explore these gems together. They're specially designed for teacher superheroes like you, dealing with the nitty-gritty of curriculum changes, diverse student needs, and, let's be honest, trying to keep your sanity.By the end of this episode, you'll be all set to integrate three of my favorite tools into your daily teaching & planning routine and hopefully, feel that spark of passion for teaching all over again.HEAD OVER TO THE SHOW NOTES: teachingmindbodyandsoul.com/episode84
An AI Appstore iPhone Moment - Apps disrupted by Smart (AI) Apps
Join Matt DeCoursey and Lauren Conaway as they spotlight 12 of Portland, Oregon's Top Startups. Meet incredible emerging-growth companies making big marks in their respective industries both in and out of Rose City. Find Startup Hustle Everywhere: https://gigb.co/l/YEh5 This episode is sponsored by Full Scale: https://fullscale.io Meet all the Top Startups we've featured around the US: https://gigb.co/l/x1fD Episode Highlights: Introduction to Portland's Top Startups (0:57) ConductorOne: Achieve real security improvement through integrated permission management (3:02) Radious: On-demand workspaces right in their employees' neighborhoods (5:18) Ren Energy: A SaaS that allows you to source green energy globally (8:16) Grid Rival: Cash-based fantasy sports for race fans (10:38) Econia Labs: Decentralized finance (DeFi) projects on Aptos (14:45) Qualtik: A loan portfolio analysis software is built for commercial lenders (18:11) Chainstarters: Modernizing the way you connect, reward, and engage with your customer base (22:07) OpenContext: Reduce toil by mapping your software catalog in minutes (25:40) Reclaim.ai: Smart AI scheduling for busy teams (31:38) YearOne: Community to help new software engineers grow and find jobs (36:43) Orca Security: The leader in Cloud Security Posture Management (CSPM) (44:18) Rally: Puts you in control of the most essential parts of your business (45:51) Matt's favorite startup on the list (50:55) Lauren's favorite startup on the list (51:32) Read about the Top Portland Startups as featured in Inc.: https://www.inc.com/inc-masters/portland-startups-to-watch-in-2024.html See omnystudio.com/listener for privacy information.
《Smart智富話理財》簡單談理財，理財好Smart！ 不談AI落伍啦！台積電、聯發科、聯詠、日月光等，台灣擁有這些超強的半導體供應鏈，將跟上AI的大成長！想長線參與半導體類股，投資人必學3招：用ETF一網打盡、觀察權重分散程度、選擇高股息保護資產！ 追蹤我們獲得理財的最新情報：
Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Before smart AI, there will be many mediocre or specialized AIs, published by Lukas Finnveden on May 26, 2023 on The AI Alignment Forum. Summary: In the current paradigm, training is much more expensive than inference. So whenever we finish end-to-end training a language model, we can run a lot of them in parallel. If a language model was trained with Chinchilla scaling laws on the FLOP-equivalent of a large fraction of the world's current GPU and TPUs: I estimate that the training budget could produce at least ~20 million tokens per second. Larger models trained on more data would support more tokens per second. Language models can also run faster than humans. Current models generate 10-100 tokens per second. It's unclear whether future models will be slower or faster. This suggests that, before AI changes the world via being broadly superior to human experts, it will change the world via providing a lot of either mediocre (by the standard of human experts) or specialized thinking. This might make the early alignment problem easier. But the full alignment problem will come soon thereafter, in calendar-time, so this mainly matters if we can use the weaker AI to buy time or make progress on alignment. More expensive AI you can run more AIs with your training budget (...assuming that we're making them more expensive by increasing parameter-count and training data.) We're currently in paradigm where: Training isn't very sample-efficient. When increasing capabilities, training costs increase faster (~squared) than inference costs. Training is massively parallelizable.[1] While this paradigm holds, it implies that the most capable models will be trained using massively parallelized training schemes, equivalent to running a large number of models in parallel. The larger the model, the more data it needs, and so more copies of them will have to be run in parallel during training, in order to finish within a reasonable time-frame.[2] This means that, once you have trained a highly capable model, you are guaranteed to have the resources to run a huge number of them in parallel. And the bigger and more expensive the model was — the more of them can run in parallel on your training cluster. Here's a rough calculation of how many language models you can run in parallel using just your training cluster: Let's say you use p parameters. Running the model for one token takes kp FLOP, for some k. Chinchilla scaling laws say training data is proportional to parameters, implying that the model is trained for mp tokens. For Chinchilla, m=20 tokens / parameter. Total training costs are 3kmp^2. The 3 is there because backpropagation is ~2x as expensive as forward propagation. You spend N seconds training your model. During training, you use (3kmp^2/N) FLOP/s, and at inference you can run one model for kp FLOP/s. So using just your training compute, you can run (3kmp^2/N)/(kp) = 3mp/N tokens per second, just by reallocating your training compute to inference. If you take a horizon-length framework seriously, you might expect that we'll need more training data to handle longer-horizon tasks. Let's introduce a parameter H that describes how many token-equivalents correspond to one data-point. Total training costs are now 3kmHp^2. So with the compute you used to train your models, you can process 3mpH/N token-equivalents per second. Some example numbers (bolded ones are changed from the top one): For p=1e14, N=1y, H=1, m=20, the above equation says you can process 200 million token-equivalents per second, with just your training budget. For p=1e15, N=1y, H=1, m=20, it's ~2 billion token-equivalents/second. For p=1e14, N=3 months, H=1 hour, m=20, it's ~1 trillion token-equivalents/second.. In addition, there are various tricks for lowering inference costs. For example, reducing precision (whi...
In this episode of Phishy Business, we discuss what can be a very scary side of AI – when bots start thinking for themselves. We delve into some examples of this actually happening, but also look at the good AI is providing humankind. Our special guest is Mo Gawdat, former chief business officer at Google X and bestselling author of the books Solve for Happy and Scary Smart. Mo describes himself as having two lives – a first life as a “maker” who coded, built robots, and developed technology, and a second life following a personal tragedy, as an author, podcaster, and “thinker” who analyzes things that tend to be overlooked by others. Mo spends much of his time championing the importance of happiness and acceptance of events we cannot change. Mo also has a lot to say about the similarity between developing AI and raising children. Mo believes that one day AI will become more intelligent than humans and that we need to prepare now to coexist with AI. In ‘Scary Smart AI? Or the Potential to Be a Force for Good?', we discuss: Why AI could be scary, but also, why it could be good for humankind How raising AI is similar to parents raising children Why AI is humanity's biggest opportunity The potential for AI to develop emotions and consciousness When AI becomes smarter than humans and what the implications could be How Mo stays happy as explained in his book Solve for Happy About Phishy Business Fed up with the same old cybersecurity stories? Come with us on a journey that explores the lesser-known side. Whether it's social engineering, taking criminals to court or the journalists hunting down hackers — our new podcast series, Phishy Business, looks for new ways to think about cybersecurity. Mimecast's very own Brian Pinnock and Alice Jeffery are joined by guests from a range of unique security specialisms. Each episode explores tales of risk, reward and just a dash of ridiculousness to learn how we can all improve in the fight to stay safe. For more tales of risk, reward and ridiculousness, subscribe to Phishy Business on iTunes, Spotify, Anchor or wherever you get your podcasts. www.mimecast.com
Today's Phone Tap victim just wants to pay a bill over the phone but our new Smart AI robot has a few zingers it wants to try out on him first!
Today's Phone Tap victim just wants to pay a bill over the phone but our new Smart AI robot has a few zingers it wants to try out on him first!
“Smart AI can differentiate who you're talking to, when you're talking to them, and what you need to say, and how that's where this starts to make a real difference.” Christopher Willis, Chief Marketing Officer and Chief Product Officer of Acrolinx, joins us on this episode of Be Customer Led with Bill Staikos. Chris is regarded as a very innovative and results-driven CMO with a track record of building effective marketing and sales groups. Also, he is accountable for all areas of the organization's marketing strategy. Moreover, Chris specializes in content governance, artificial intelligence, and pipeline management. In today's discussion, we dive deep into various aspects concerning the improvement of content and its effect on the customer experience. [01:10] Background – Chris shares his journey to this point and highlights the characteristics that set him apart. [06:03] Acrolinx - Chris outlines Acrolinx's fascinating AI and content-related projects. He then elaborates on AI's impact on content development, curation, and consumption since its adoption. [15:48] Content as an Asset - Numerous businesses consider content an afterthought rather than an asset. Chris describes what he believes companies lack on the experiential side, especially when explaining its value for the first time. [20:36] C - Level Initiative – Chris explains how revenue modeling resulting from content governance becomes a C-level endeavor. [23:33] Content Fitness – Chris gives an excellent explanation regarding the idea of content fitness. [29:46] Horizontal Solution – Chris discusses the corporate sizes to which their service extends and whether or not it is genuinely an enterprise-level solution. [32:13] Inspiration – Chris mentions the business executives he looks up to most and why he does so. He also notes where he gets his inspiration. Resources: Connect with Christopher: LinkedIn: https://www.linkedin.com/in/cpwillis/ (linkedin.com/in/cpwillis/) Website: https://www.acrolinx.com/ (www.acrolinx.com)
A demonstration of the Samsung washer model number: WF45A6400AW, and drier Moddle Number: DVE45A6400W. In this podcast we show you not only the washer and drier, but we also show you the smart things app.
Can AI - artificial intelligence - be harnessed to build and strength member relations, indeed to know what this member is likely to do right now?That is the guiding belief at Senso, a Canada based AI company that now is expanding into the US market with a specific focus on credit unions.It is no secret. The credit union share of the home mortgage market has steadily eroded, as nimble fintechs grab more business. Smart AI just may give credit unions an edge in recapturing marketshare.The Senso promise is intriguing. When an institution has the right data it can predict with significant accuracy when a member is about to shift from being a home looker to a buyer.The answer is in the data, says Saroop Bharwani, Senso's founder/CEO.Right now the Senso focus is on home mortgages but, he says, the same tools will work on car loans, credit card balance transfers and more.Here is how Senso describes its approach: "Senso creates connected and contextual lending experiences, powered by predictive intelligence.We enable enterprise customers to identify and engage borrowers with personalized proactive experiences.We empower consumers with rich insights & experiences to help them make smart decisions through their home finance journey."Integration of Senso tools - which are available white labeled - is comparatively quick and easy through the leading online banking platforms. Right now, the primary Senso aim is at institutions with a billion in assets - but if a smaller institution is using an online banking platform that Senso already has integration tools for, the company wants to talk, says Bharwani.Listen up.Like what you are hearing? Find out how you can help sponsor this podcast here. Very affordable sponsorship packages are available. Email rjmcgarvey@gmail.comAnd like this podcast on whatever service you use to stream it. That matters.Find out more about CU2.0 and the digital transformation of credit unions here. It's a journey every credit union needs to take. Pronto
Andrew Smart is helping Google figure out whether AI robots can/should take over. Subscribe: Click here for Andrew Smart’s website Click here for forum Discussion skeptiko-519-andrew-smart [00:00:00] Speaker 1: Copenhagen interpretation, which states that the act of measurement affects the system's [unclear 00:05]. The Penrose interpretation, which suggests that the wave function collapse. [00:00:12] […] The post Andrew Smart, AI, Consciousness, Turing Test |519| appeared first on Skeptiko - Science at the Tipping Point.
Andrew Smart is helping Google figure out whether AI robots can/should take over. Subscribe: Click here for Andrew Smart’s website Click here for forum Discussion skeptiko-519-andrew-smart [00:00:00] Speaker 1: Copenhagen interpretation, which states that the act of measurement affects the system's [unclear 00:05]. The Penrose interpretation, which suggests that the wave function collapse. [00:00:12] […] The post Andrew Smart, AI, Consciousness, Turing Test |519| appeared first on Skeptiko - Science at the Tipping Point.
Anker Innovations, a global leader in mobile charging and consumer electronics, recently announced two products under the AnkerWork product line, including the PowerConf C300, Smart AI-enabled HD webcam, and the PowerConf S500 Portable Conference Speaker. For many, working from home has been a dream come true, but it also brings its unique challenges; distracting pets, family, poor lighting, and power and cable management issues, to name a few. AnkerWork products have been designed to help address many of these issues, while providing portable solutions and can be easily used in the home, the office, and on the road. Adam Weissman joins me on Tech Talks Daily to discuss Anker's decision to enter the B2B tech space at this moment in time, along with his vision of how the future of work will center on flexibility and mobility. We also talk about where the hybrid work model is heading, how future AnkerWork product offerings will be equipped to address the future of work, and what AI technology can play a stronger role in the new age of work.
We prescribe an update that's just chock full of news that could very well help you see more clearly or leave you blind, wondering why you just bought those really dear headphones. We start with tracking, move on to toothpaste, and then get a nosebleed from hits the ransomware group Conti has inflicted before we have our use of a certain term validated. We discover how to tell the difference between “Dumb AI”, “Smart AI” and “Really Smart AI”. And we leave you with a couple of health checks that have nothing to do with IT Privacy or Security but could have you feeling much better about your own visual and audio acuity. This is without a doubt just what the doctor ordered, so let's hang up our jackets, roll up our sleeves and get going! Find the full transcript of this podcast at https://discuss.daml.com --- Send in a voice message: https://anchor.fm/rps5/message
Over the last twelve months, people worldwide sheltered in place to stem the spread of COVID-19. As a result, video gained a new level of prominence in a wide variety of fields – from online lessons to virtual business meetings to streaming content. Tom Livne is the CEO and Founder of Verbit, the world's leading AI-powered transcription and captioning platform that recently raised $60M in Series C funding. Verbit leverages Natural Language Processing technology to provide over 99% accurate transcripts and captions to diverse customers in the education, legal, media, and enterprise sectors. Verbit harnesses the power of artificial and human intelligence to provide a smart transcription and captioning solution. Built on adaptive algorithms, it is the only technology that generates the most detailed speech-to-text files to provide over 99% accuracy, delivered at record-breaking speed. Smart AI technology supports on-demand CART services for real-time results. Verbit's customized solution helps organizations maximize their audio and video files' potential by making information searchable, accessible, and actionable. Tom joins me on the podcast to share how Verbit's platform has played a key role in ensuring that all media shared in classrooms, workplaces, and online platforms is accessible.
What happens if you pair artificial intelligence with drones? Among other things you make life easier for tree growers, who can now count, measure, and more efficiently take care of their crop. Dr. Yiannis Ampatzidis and Matt Donovan are the developers of Agroview, a Florida startup invention and a 2020 Cade Prize finalist. They explain using basic drone images, Agroview’s AI and data fusion method provides very accurate information on thousands of acres in hours for what normally takes agricultural producers weeks. TRANSCRIPT: Intro: 0:01 Inventors and their inventions. Welcome to Radio Cade the podcast from the Cade Museum for Creativity and Invention in Gainesville, Florida. The museum is named after James Robert Cade, who invented Gatorade in 1965. My name is Richard Miles. We’ll introduce you to inventors and the things that motivate them, we’ll learn about their personal stories, how their inventions work and how their ideas get from the laboratory to the marketplace. Richard Miles: 0:38 Spying on trees, what are they doing out there? It turns out if you pair a drone with artificial intelligence, you’ll find out all their secrets. I’m your host, of Radio Cade. Today my guests are Dr. Yiannis Ampatzidis and Matt Donovan of Agroview, a 2020 Cade Prize finalist. Welcome to the show, gentlemen. Matt Donovan: 0:54 Thank you, Richard. Dr. Yiannis Ampatzidis: 0:56 Thank you for having us. Richard Miles: 0:57 So first of all, I have to confess that I’m a sucker for any topic that has the word drone in it. My wife got me a little drone a few years ago and I have to become highly proficient and wasting lots of my time taking pictures pretty much of nothing, but they’re pictures from a thousand feet. So it’s cool. Right? I’m guessing you all have to be slightly more productive with your time and the technology. So why don’t we start Yiannis, if you could describe for us what the core product of Agroview is, which as I understand it marries drones with artificial intelligence to take lots of pictures of trees. So why don’t we just start out? Why trees? What are those pictures tell you? And more importantly, what does it tell the person growing trees who presumably is going to buy this product? Dr. Yiannis Ampatzidis: 1:34 Yeah, that’s a really good question. First of all, let me start from the beginning of Agroview, so there’s some tools, Agroview is a cloud-based application. So actually it’s like a software that analyze and visualize the images from drones, but also for ground based sensing system . So why do we developed Agroview for tree crops and vegetables is because we identify that there’s same gap. There are not so mainly tools and solutions for specialty crops, like tree crops and vegetables, regarding on drones. And then the main idea here is to convert the data that we collect the information to some kind of practical information, useful information that the growers , the managers can use. There are samples for row crops like wheat, soy , bean , cotton , but very limited solutions that are available for specialty crops. That’s why we developed Agroview. And again, the main goal is to convert data. For example, the images that we collect from drones to information, to something that we can really use. Richard Miles: 2:41 So the real secret sauce here is the AI, right? Because obviously drones have been around a while. UAVs have been around and under development getting rapidly better since the nineties. And I’ve heard about all these potential applications, including agriculture. It never thought exactly how’s that going to work? So Matt is this sort of the first time, or you are the first company to actually take the idea of using AI algorithms. You have these images, which we’ve been able to get for a long time. And actually as Yiannis said, do something practical with them. Matt Donovan: 3:11 Well, I think as Yiannis mentioned in some of the more popular crop or more attended crops like corn or wheat, there’ve been utilizations of this, but in the specialty crop market, like citrus almonds, like specialty tree, fruit crops, not so much. And that lack of attention of providing AI tools is really the gap that Yiannis mentioned before. So while we’re not the first to try it, I think in the specialty crop market, we’re the first to really prove that what the Agroview platform does. Yiannis and his team have actually gone through the large scale commercial test. It’s not a lab specific, it’s not a controlled environment and they’ve published openly the results that Agroview achieves. And that’s something that’s novel and unique about the Agroview platform is that it’s really gone through the scientific rigor that a lot of products will make claims that often they can’t prove. So in that respect, we look at it as the first platform. That’s proven the ability to take data from a drone, but also to take data from ground sensing systems and then have the AI sort of crunch everything together. And as Yiannis said to take multiple layers of data, but then produce a valuable piece of information, which the grower can then use to take action on and ultimately starts to get into the business impact that information then turns into actionable intelligence as it were. And hence our agriculture intelligence, the name of the company had come about is to have Agroview, create actionable intelligence that makes a business impact, but something else that’s a grander vision of Yiannis is to start making impacts to the ecosystems that are around the growing environment and the environment in a longer view and in a more grand scale to create sustainability in those growing regions. Richard Miles: 5:07 So one thing that impressed me when I watched the video of Agroview and the product that you have in the market is just merely knowing how many trees say citrus trees. For example, you have, it’s a valuable piece of information to get, I guess, crop insurance for a number of different reasons. And to note where your gaps are, where you might have a row of trees aren’t doing well, but Agroview does more than that, right? I mean, it doesn’t just count trees and say, okay, you’re missing four trees or three trees there. There, there are other things that you capture about the health of the crop itself or that how the plant is doing that, I guess, affects decisions on fertilizing or whatever. So Yiannis, how does that work? You mentioned ground sensors as well in order for this to work to its maximum capability, you’re pairing a UAV with cameras and are you also then deploying an array of ground sensors so you can capture other data like how tall the crop is or how it is, is that how it works? Dr. Yiannis Ampatzidis: 5:58 So with the dome , we can collect a lot of information, as you said, we can count crops, plants, which is very important and we can detect gaps, income gaps, and also develop a stress index. And we can also estimate plant nutrient concentration, which is very important for a precision fertilizer application. Matt Donovan: 6:20 And that’s using the UAV imagery, Richard. Dr. Yiannis Ampatzidis: 6:23 Yeah, the UAV spectrum of data, which we really collect from my multi-spectral camera imaging. So doing that, you develop these maps, that they have different zones with different colors and these maps can be applicable or they can be used by precision and variable rate fertilizers. And that means there’s a variability in the field. So you don’t need to apply the same chemicals. The same inputs in general, it can be anything else can be water to the crops, but you applied based on the need. And this is where the savings comes. And this is how we can also try to reduce any negative environmental impacts . So we apply in this case, fertilizers as needed to the specific areas. We can even go down to the climate level. This is what we do with drone images, but on the same time we can analyze data collected from, for example, sprayers and fertilizers that we are developing new smart technologies, sprayers, and fertilizers that at the same time that they spray, they collect data that we convert back into information and example can be, we can also detect and count trees , but also assess the health that can be connected with the data collected from drones and all this information can be used also for yield prediction, which is a very important task for logistic purposes. Matt Donovan: 7:47 So the drone imagery is an input into Agroview. The application map is an output from Agroview into the field for sprayers. But when the sprayers are spraying, we equip smart sprayers with additional data collection items that then become inputs that creates a richer and more detailed set of inputs for the agroview system to assess, which makes it much smarter. And the amount of data that we start to look at as inputs coming into Agroview that the artificial intelligence algorithm is dealing with starts to be massive. But that’s the whole point. Precision agriculture is making that impact of taking those individual units of data, whether they come from a drone or they come from collecting from the sprayer, which is a nice dual use, right? It’s an output from Agroview, but we also utilize it as a smart opportunity for us to collect more information, to then provide additional details for the AI to assess. And it creates a richer set of information moving forward, and it builds and builds and builds. It goes from 2D in the air to 3D on the ground. And the collection of that data over time gives us a 40 view over the course of time that really sets Agroview apart. Richard Miles: 8:58 So that’s really kind of the beauty of AI, right? It’s not like you have a bunch of smart coders. They write a great program and then it has to be constantly updated by smart coders. The AI kind of gets smarter on its own just because you’re getting this massive inputs of different types of data. And you’re combining your interests solution. Matt Donovan: 9:13 Terrific point. It’s almost a fully automated platform in that sense. Richard Miles: 9:18 Several months ago, I talked to the president of the National 4H Council and she was telling me the history of agricultural technology goes way back to really Abraham Lincoln, who founded that land grant college system. And as a requirement, it made the sharing of agricultural technology widespread. And one of the great results of that is that farmers have generally always been early adopters of technology because they recognize the value right away because it affects their costs. It affects their ability to successfully harvest crops. And so on, Matt maybe you can take this, what sort of reaction have you gotten from? I’m sorry, I just got to use the pun from farmers outstanding in their field. Are they reacting to this like, Oh, this is great or do they still have questions or a little bit of skepticism or their cost issues involved is just an intense capital investment Say in Agroview or similar technologies, or what kind of feedback are you getting from them? Matt Donovan: 10:11 Well, the farmers are certainly looking for the proof they are adopters, but as a customer persona, if you will, they’re very much proof in hand. And certainly be honest, works directly with a lot of growers who have seen the Agroview system. And it can give you some feedback. I think from a market perspective, they’re looking for proof. They will adopt the Agroview system itself is in keeping with a lot of the way that their products are priced on a per acre basis. So we’ve adopted kind of the norm of what they follow with pricing to try to show them that value. So far, there’s a little bit of wanting to calibrate what Agroview is able to produce using UAV imagery or ground collected data with what they already know. The beauty of the system, actually in that large scale, scientifically proven test was a commercial plot and it was ground truth by Yiannis and the team, the published paper that was done took into account the ground reality often referred to as ground truthing methods to compare it to what the UAV collected images were. So what we’re finding is if the growers give us the chance, we can show them that the data that’s collected via the drone alone is very comparable to the information they see on the ground and in the palm of their hand, as it were lots of work to go, but that’s what we’ve seen so far. And the good news is the algorithm is very accurate with regards to that. So I think what they they’re seeing out of the Agroview system pairs up nicely with this sort of healthy skepticism of should I adopt and get these promised c osts savings. And the reality is, is very positive results, but also with a pinch of making sure that they are putting money into an advanced technology, that’s going to be as good as what they can see and feel on the ground. They’re very intuitive. The data element is actually something that I think really is an added element for them b ecause growers are extraordinarily intuitive about what’s going on in their fields. But that data element I believe is, is the gap that we’re really filling in the market. Richard Miles: 12:23 So that’s a really good point, Matt, and give me a feel for what in best case scenario, if a grower adopts the technology uses it correctly, there are no malfunctions, what are the potential cost savings to them? And I guess as a corollary of that question, what’s the next best alternative, because as you said, growers have highly intuitive sense of how their crops are doing, what would prevent a skeptical grower from saying like, look, this looks really cool and snazzy, but you know, honestly I can get my truck and in an hour drive around my fields and get the same info. What are the magnitude of cost savings? Obviously that would take a lot of time driving around and doing it in person. What is your value proposition in a best case scenario, Matt Donovan: 13:01 Let me break it into sort of three components. One is , is that these tree counts are critically important for a lot of decisions that they will make. But tree count is also a regulatory requirement in order for a grower like a citrus grove, for example, to get crop insurance through the USDA, they have to do an inventory. And so right now the current method of trying to count trees is a couple of dudes jump in a truck, an old dusty truck, probably with no air conditioning and a couple of clickers like handheld clickers. And they drive up and down each of the rows, clicking on the right, clicking on the left. Now, as far as that process or method is used, it’s extraordinarily error prone, a hot summer in Florida to try to keep your concentration in a hot humid orange grove in Florida in the middle of the summer is not an easy task. Um , and it’s also very carbon heavy, which gets into the environmental impact. But from a practical perspective, a thousand acres of survey manually costs $15,000 and takes four to six weeks from the Agroview perspective we’re in and out of that same thousand acres in two or three days, no truck touches any of the inner parts of the grove. So it’s carbon neutral and the information is so much more accurate. So just on the tree count alone, we have proven 99 plus percent accuracy. So just on the practical side of getting insurance and account, that piece of it is there. Of course, the health statistics, the height of the tree, the canopy, the stress, and the overall health of the tree goes towards a much richer mosaic of information for the grower there. And then the decision between the tree count and the health qualifications, if you will starts to factor in what they’re considering potential yield, but the tree count and its accuracy becomes so important to any formula that they’re using. It’s a highly weighted variable. I mean, plug in the wrong tree count and into whatever estimating formula that they’re using, whatever method that they might be using tree count can throw off what they may think is coming at harvest by a lot, one degree off now means way off in the future. The nutrient analysis, probably the biggest impact. And that’s something that on a qualified costs, the Agroview system is going to just absolutely make something that’s 90%, less than cost . I mean, it’s massive savings. And the methodology for us to do nutrient analysis is so comprehensive because it accounts for the whole field, which right now they utilize a very expensive lengthy time process to collect leaf samples, send it off to the laboratory. Again, us flying for a thousand acres in two days is what takes weeks and weeks in tens of thousands of dollars just to render the information that the Agroview system can produce within 48 to 72 hours. Richard Miles: 15:58 Wow. That’s quite impressive. Yiannis, are there any technical limitations in terms of other types of applications that this could be used for? Like for instance, right now you’re going after specialty crops like citrus trees, for instance, could this be used for cattle? For instance, I had a guest on a couple of weeks ago talking about the next generation of beyond visual line of sight UAV that can travel much farther distances and could a Texas cattle rancher who has a gazillion acres and thousands of heads of cattle could eventually this sort of technology be used for them to keep track of the cattle and the health of the cattle and so on, or is this really limited to stationary crop ? Dr. Yiannis Ampatzidis: 16:37 Yeah, that’s a really good question before I answer this and let me emphasize a little bit with tree count. And I just want to make clear here that this is very important especially for Florida because of citrus greening growers got to remove a lot of the trees. That’s why they don’t really know how many trees they have in specific blocks before it was easier that you put it that way. You know that you have maybe 10 acres, you planted 160, let’s say the record. So you can estimate. But now with the greening, citrus greening, you might have 50% of them may be gaps. So there’ll be trees that they h ad to remote, right? So this is also another potential. You need to know how many gaps you have. You need to know if you want to r eplant, so how many trees you need to go order from a nursery. So that’s why tree detection is our first task, different AI models. I t’s not just a simple AI. I usually say that has different levels of intelligence. So going back to your question, y ou a re totally right. What we try to do with, w ith other crops like tomatoes, s quash, watermelon, w e even try to detect diseases. At the early stage, early disease development stage, which is the most critical. So to detect t he disease with no visual symptoms on very small symptoms, this is the critical step. I know a lot of growers spray proactively just to be sure that there will be no infection, but sometimes a re infections. T here a re diseases. So if you detect that, t he early stages can save a lot of money. You can control, you take the best management tactics, and then you can control the disease. Before that spreads throughout the field that can save you a lot of money. We’ve seen examples t hat a d isease can totally d estroyed the entire crop. So now about the cattle, we can do something similar, like how we develop AI based models to detect diseases in crops. We can do something similar with lifestock, using drones, using g round-based sensing systems. We can, first of all, identify individual animal and then collect some information. And actually we have a different project that we develop wearable devices, smart devices, to collect information from individual animal. It can be a horse, it can be cattle. So connected that with, as you said, d rone i maging, it can really help and you can develop a fully automated system. Again, like Agroview that analyze o f the data because the beauty actually comes from there. We can collect huge amount of data, but what you really do, the data is important part, r ight? In this case, if you have r eminds o f like hundreds of thousands of images, this is the big data issue, right? That’s why you need big data analytics. That’s why you need AI. It’s very difficult for t he human brain to understand and analyze big data. But using AI, you can simplify and automate this process and you can have the critical information at the end, let’s say t hat t his i s detection o r something like that in almost in real time or in mer real time. And this is the goal right now. This is where w e’re going. W e a re not going to stay only for, let’s say crops, but we’re developing similar technologies for livestock in general. Richard Miles: 20:04 That’s really fascinating. I mean, as you said, the problem no longer really is the ability to collect data. We have all sorts of ways we can collect data. It’s what do you do with the data and the masses of data that you’re going to get and turn that into something very useful. I’m glad to hear that you are looking at livestock, just one story of the world we live in. Now we have a goofy little cat who just would disappear all the time. So we finally got him a pet tracker, right way too big for him it is made for a dog. It looks kind of ridiculous, but it turns out when we went live with this, the first time we got it, it was hilarious. Cause our son was in the Navy out in Guam and our daughter was in Hawaii, working in a hotel out there. And the night it went live, we all were watching from around the world. What’s this cat going to do was going about 11 or 12 miles a day. I mean, just all over place. And we could see where he was in the neighborhood. And so I’m sure you’re going to go after more than just the cat market. Cattle is much more lucrative than house cats, but you know, I had to step back and go. This is amazing that people scattered around the world can all look at where this little house cat is going. And imagine now what you can do with information wearables, for livestock and collecting obviously much more than just your location, all sorts of metrics on their health and so on. Matt Donovan: 21:12 Well, it really points to the name Agroview really comes from all of the precision agriculture you need in one view. So like you and your family watching your cat would be akin to whether it’s a grower or a livestock operation, to be able to see that information in one view, that is what the Agroview system is. As Yiannis said, trying to crunch through all that data and then present it in the case of most of this, which is kind of a map driven view, a map driven interface that you can get those stats 11 miles a day, that your cat was going. Probably might’ve been accompanied by a little map if it had it, if all of its little travels. So again, it’s simplifying massive data into a very understandable view that can be seen by not just you and your four family members, but it could be multiple team members of the farm operation. All of them can have access to it the same way that you don’t have to be in the same place, but that data is provided in one view, the Agroview as it were. Richard Miles: 22:14 So one of the things we find really interesting on Radio Cade is I always like to kind of know a little bit about the background of the inventors and entrepreneurs that we talk to because they’ve all have very interesting paths to the invention or the business. So Yiannis, let’s start with you. You’re currently an assistant professor at the University of Florida Institute of Food and Agricultural. Sciences, otherwise known as IFAS, but you’re originally from Greece and you move to the United States about 10 years ago. You know , I’m just curious, what were your first impressions of the United States and just want to turn around and go home. And then after that, how did you make your way to studying agriculture? Dr. Yiannis Ampatzidis: 22:45 Okay. Moving to the US in 2010, I was at the Washington State University. So I had an opportunity to join a team, a really good team, as a postdoc research associate. And I think beginning and need some time to readjust that it was a totally different lifestyle, but I love it. And I liked the team and we work also developing precision ag technologies and they like the culture here and the connection between the universities and the industry where you really enjoy to develop technology . So applied research and develop new technologies that someone in really use. So after that, I moved to California, was the assistant and associate professor at the Engineering Department at the Cal State system. In 2017, I moved at the University of Florida at them Agriculture and Biological Engineering Department as an assistant professor. And then here in all these three States, I work with specialty crops. So tree crops and vegetables. Yeah . I really love my job. I think we have a lot of opportunities to develop new smart technologies and especially utilizing AI. So overall I’m super happy here. I enjoy my job and I love it. So no complaints at all. Richard Miles: 24:04 And Yiannis did this run in the family where your parents involved in agriculture at all in any capacity? Dr. Yiannis Ampatzidis: 24:10 Yeah, my grandparents, for example, they were farmers. My father was not a farmer, but he also likes to grow grapes, make wine. So I grew up in a small family . I always liked also engineering. Let’s say I like to build stuff and this two came together. So that’s why ag engineering. Richard Miles: 24:31 So it sounds like from an early age, you kind of had a fascination with the idea of growing things and studying that, or was there a particular moment that you remember in school that you’re like, wow, this is really cool. I want to know more about this. Dr. Yiannis Ampatzidis: 24:42 I would say that it was mostly building or developing things. I remember even when I was like five, seven, ten, any project that I had to build something, it was like really something that I enjoy . So starting from there, then I like mathematics programming. That makes it very easy for me to follow this path. And of course, as I grew up, I knew about agriculture. It’s very important. We need food, we cannot live without food. So. Richard Miles: 25:10 We can’t live without wine ether Yiannis, Dr. Yiannis Ampatzidis: 25:13 Thats true, especially the Greeks. Richard Miles: 25:15 So Matt let’s turn to you. You come from a different background. You’re currently the CEO of Agricultural Intelligence, which is a company that is taking Agroview to market. And you come mostly from a business background, but tell us about your path. Where were you born and raised and how did you get into the business arena? Matt Donovan: 25:29 Well, I’m a native Floridian. I was born in South Florida. I was raised in the West Palm beach area. I lived there for the majority of my young life and after I got married and had a job opportunity, I moved to Gainesville, Florida where I reside today. I had grown up in a small business. My father ran a small business. So as much as growing wine or grapes and attending to crops, might’ve come somewhat through Yiannis background, mine was more of a growing up in a family that ran a business. I went to the standard things. I graduated college, started working in the corporate world and got married and found a place to live here in Gainesville, Florida. So I’m a native Floridian and got involved in various corporate work. And after a decent career doing that, I , I started my own management consulting company. And after I was doing a management consulting engagement, I came up with an idea for a piece of software. And so I wrote the piece of software myself, and it became a part of the telecommunications area. And I ran that company for 15 years and I am now lacking the coding skills required, but thankfully folks like Yiannis are much more talented in those areas. So that’s my side of bringing some healthy background as an entrepreneur and the corporate work that I’ve got to try to lead the business side of Agriculture Intelligence and bring Agroview to market. Richard Miles: 26:52 It sounds like a great partnership that you have going and perfect segue to talk about where you are now as a company, you’ve made a lot of progress. It seems like in the last year, in addition to becoming a Cade Prize finalist, you were one of the outstanding entries that we had this year. You’ve gotten a number of other awards and recognitions. Where are you as a company right now? And what are your next steps? So for instance, how many employees do you have and are you raising money or give us a snapshot of where you are in the life cycle of Agricultural Intelligence and Agroview as a product. Matt Donovan: 27:20 Yeah. As a product were kind of that pre-revenue just starting to accumulate some sales. As I mentioned before, the growers are still vetting and calibrating the technology and trying to adopt that we’re competing for several larger contracts, which will be good for growth. The natural revenue growth, we are seeking funding still officially. There’s a small team of four that are mostly oriented around moving the product forward and sales. So it’s a relatively small team, but we’re looking to rapidly grow over the next year. So any healthy investors that want to do a proven product, we’re out here to have a conversation with. Richard Miles: 27:57 Well, I can tell you one story you probably will enjoy. It was about probably a little over 10 years ago, a company similar to yours, they’re in the software space, but in healthcare for employees in the same building you’re in right now, Matt in the innovation hub, they’ve done very, very well. And they’re getting ready to have a very successful exit to very, very soon. So I’ve seen it happen. It can be done for sure. Along those lines. I’d like to ask both of you, you’ve got enough experience under your belts now in taking this idea, as far as you have, you’re not done yet. You’re still in the middle of the journey, but it’s the legions of other researchers and entrepreneurs out there. What sort of advice would you dispense at this point to them? Like for instance, are there any mistakes that you’ve made that you think, you know, I wish somebody had told me about this, or why didn’t somebody warn me about this particular obstacle that I might encounter? So Yiannis, why don’t we start with you? Any regrets or any wisdom or advice you would dispense to maybe someone about a decade behind you wanting to do the same thing? Dr. Yiannis Ampatzidis: 28:53 Sure . I had another startup at Washington State University. We had a really good idea and actually the growers tried to motivate us, to commercialize the technology that we developed and offer it as a service to the grower. There’s something similar happened with Agroview the mistake was that we thought two of us actually, that we can also run the company. We have our, day jobs that as a professor or researchers. And we thought that, okay, maybe at the same time we can build and run the company, it was a huge mistake. We didn’t have the time. Sometimes we didn’t even have the time to answer the calls or emails. This time I was like, no, I’m not going to make this mistake. I need to find a great guy who ran a really good company and good CEO. And I was very lucky to meet with Matt. So I think, yeah, that was one of the mistakes. I will never forget. We cannot do everything. So we need to identify what our skills, what our capabilities and then partner with others, Richard Miles: 29:50 It’s a valuable mistake and a valuable lesson to learn. And it’s actually occurs more often than you would think. Researchers thinking like, well, how hard can it be to take this idea to market? Cause it’s a great idea. And almost invariable . It is a great idea, but that getting it to market and getting it capitalized and so on is, is tough road. And uh , a lot of people don’t make it. Matt, how about you? You’re in the business world by definition to sort of they’re winners or losers or ups and downs. Tell us a little bit about what lessons you learned. Matt Donovan: 30:17 I think the list of mistakes that I’ve made is so much greater than, than that. I would just actually focus on something. When I was in the corporate world, I was lucky to have someone who mentored me and of the various lessons as sort of a younger business person, was something that my mentor said was contribute every day. Find a way to make a contribution sometimes it’s to yourself. But if you’re contributing, you’re often making something actionable. That’s tied to someone else’s goals. And often you don’t realize it when you’re younger, contributing to other’s goals are actually the most important thing you can do to achieving the overall goals and ultimately any organization, any products, every company is comprised of people, the actions they take. And those two things are normally something that every single day you need to contribute to. So I sort of took that on as a life lesson that I believe helped me maybe avoid more mistakes than I would have made otherwise. And occasionally I look for those nice days where making that contribution every single day and the discipline of trying to contribute to every day kind of adds up over time. And the old saying is it’s a marathon, not a sprint. And making a contribution is, are literally each step you take in that marathon. So make a contribution every day, some way, find a way to make a contribution and keep going. That’s the essence of it. Richard Miles: 31:57 That’s great advice. Yiannis and Matt, you guys are doing great. I want to congratulate you again for the success you’ve had so far. You do have a great idea. I do think that you will succeed because I think you’ve done a lot of thinking about this and where the need is and how this is going to be used. So I look forward to having you back on your show after you’ve had your half billion dollar exit or whatever, whatever that can be. How about when you do your IPO, right? We’ll have you back on the show and you can tell us some more lessons, but I want to thank you both for your time and wish you the best . Matt Donovan: 32:24 Thank you. Richard. Dr. Yiannis Ampatzidis: 32:25 Thank you Richard. Outro: 32:28 Radio Cade is produced by the Cade Museum for Creativity and Invention located in Gainesville Florida. Richard Miles is the podcast host and Ellie Thom coordinates inventor interviews, podcasts are recorded at Heartwood Soundstage, and edited and mixed by Bob McPeak . The Radio Cade theme song was produced and performed by Tracy Collins and features violinist Jacob Lawson.
Request a TRUTH: http://kalaboukis.com ** FEEL FREE TO LISTEN AT 2X SPEED ** Tons of people are worried about losing their jobs to automation Automation is good: if a computer can do it, maybe a human shouldn't be doing it That job is probably beneath the skills of a human being Driving, for example, is too mindless for humans. We can do so much more Smart AI should be able to replace drivers Humans are amazing – why are we wasting our time doing things our machines can do better? Why are we wasting our immense brainpower doing dull, repetitive work? We should get paid to think AI and humans will share the work. Each of us is better suited to different work Maybe creativity is human, and editing is AI?
Alternate Current Radio Presents: BOILER ROOM - HESHER & SPORE hold another meeting of the Social Rejects Club round table and are joined by RUCKUS and DANIEL SPAULDING for this episode. Smart AI cars with 'smart AI pleasure devices'... Shall we all trade in the "old ways" of personal automobile ownership and control of said automobile, for a fleet car that can pleasure you as it drives you to your destination with AI behind the wheel?! Did Trump really make a pro medical freedom move by defunding the W.H.O. if his administration is now giving 1.6 Billion USD to GAVI? All this and more on this episode of BOILER ROOM!
Alternate Current Radio Presents: BOILER ROOM - HESHER & SPORE hold another meeting of the Social Rejects Club round table and are joined by RUCKUS and DANIEL SPAULDING for this episode. Smart AI cars with 'smart AI pleasure devices'... Shall we all trade in the "old ways" of personal automobile ownership and control of said automobile, for a fleet car that can pleasure you as it drives you to your destination with AI behind the wheel?! Did Trump really make a pro medical freedom move by defunding the W.H.O. if his administration is now giving 1.6 Billion USD to GAVI? All this and more on this episode of BOILER ROOM!
The AI Eye: BlackBerry (NYSE: $BB) Launches AI-Powered Spark Suites and First Responder Developing Smart AI Camera
The AI Eye: BlackBerry (NYSE: $BB) Launches AI-Powered Spark Suites and First Responder Developing Smart AI Camera
Former US Central Intelligence Agency analyst and subcontractor, Edward Snowden, and the WikiLeaks revelations show the astonishing measures taking place globally to monitor the behavior, feelings, and attitudes of everyone. Snowden lifted the lid on "Tempora", an electronic surveillance program operated by Britain's eavesdropping agency GCHQ (General Communications HeadQuarters). He also revealed the US government uses a software program called "Boundless Informant" which details and maps by country the vast data gathered by the ultra secretive National Security Agency from private phones and computer systems. Many secret software programs, search engines, spyware, malware, and other related data mining methods are being used 24/7 on everyone who accesses the Internet on any device, including cellphone calls. Anti-Malware, Anti-Spyware, and other protection software can easily be bypassed by most hackers. With computer algorithms and artificial intelligence systems developing increasing sophistication, as human oversight decreases, everyone should be very concerned about the potential for unaccountable secret intelligence agencies to take our information, privacy, and ultimately our freedom.
Sahil Sanhi, co-founder of AllyO, a Silicon Valley based AI technology company, delivers an interesting overview of the many problems that exist in the human resources arena, and how his company's tech is beating them, one by one. Sanhi and his company partner saw a major problem in business recruiting and launched AllyO in 2016 as a means to solve it for companies worldwide. The problem—recruiting is inefficient, applicants are lost in the process, conversions are poor, and the cost is high due to menial tasks placed upon the hiring teams. Essentially, there is a complete lack of visibility and the process offers little control for human resources leaders. Sanhi and partner realized they could build a better engine, and did. AllyO reinvented the system by bringing the recruiting process directly to the qualified applicants instead of the traditional route of bringing the applicants to the recruiting process. And AllyO's system loops into human beings only when needed, thus allowing the mundane work to be circumvented, keeping human employees on more important job tasks. Sanhi explains how his company uses deep workflow conversational AI to streamline and automate end-to-end recruiting. AllyO successfully enables a managed workflow, by using smart technology to engage via texting over web and mobile avenues. Sanhi states that their system not only greatly relieves the stress and drain on human resources departments, but also significantly improves the quality of incoming new hires. As Sanhi explains, the highest quality candidates are discouraged from applying due to the extensive, laborious process of first finding an appropriate position, and then being forced to fill out an online application for 45 minutes to an hour per opening. For a company that is seeking the best employees, this is highly problematic as sometimes it is only the most desperate candidates who will go through this difficult process, a process that only offers a 15% chance or less that your submission will be seen or acted on. AllyO utilizes conversational career matching across multiple talent acquisition channels, qualifies the candidates for the role that perfectly fits their skill and experience, then fully automates the scheduling of interviews and even post interview communications. Responsiveness, better communication, and a more human type interaction back and forth, all built into the AI drives engagement to higher levels. As the AI probes deeper into a candidate's qualifications it makes granular decisions along the way, which allows for candidate ease and better options for the hiring manager. The tech expert explains how AllyO uses each engaging interaction with a potential candidate as an opportunity to learn, thus enabling the system to answer candidates' questions in an increasingly sophisticated manner. Additionally, their AI ensures that proper conduct is always a priority by discarding biases. And as AllyO is a multilingual, highly configurable technology it can integrate easily into any HR system. Ironically, it is AI that is putting the human touch back into hiring.
Disney Westworld is some Disneyworld-level theme park logistics. Star Wars Galaxy’s Edge. Westworld ticket prices. The Wild West The mythos. Cowboys shootin’ and rootin- tootin’. The time period. The expansion of settlement exceeding governmental reach and the perception of lawlessness. TV vs Movie Deep questions about consciousness and self and where they really really aren’t. AI in the 70s Depictions of artificial general intelligence in the period and how awesome 2001: A Space Odyssey was/is. The “AI Winter.” The Lighthill Debate on Artificial Intelligence. Heuristics. Teaching our machines to learn. Neural net black boxes. Machines created by other machines. Smart AI/dumb AI Collections of very convincing modules, sans consciousness, vs AGI. In what way can a computer system “understand” language? Sensory processing How long it takes humans and machines to adapt to moving in their environments. The speed of artificial neural networks in learning and human evolution of millennia. Computer vision in 1973! Face tracking. Human attention to human attention. Robotics! The difficulty in developing human-like robots. Our subconscious alertness to any oddness in our human-to–human interactions. The people-watching your brain does when you’re not watching. Computer viruses Coinage. Von Nuemann’s “self-replicating automata.” The Lighthill Debate on Artificial Intelligence [1973]: YouTube Westworld (the series): iTunesAmazon Support the show!
We raid some tombs and discover our inner Lara Croft in Tomb Raider (2013). Developer: Crystal Dynamics with Eidos Montreal (Multiplayer), Nixxes (Next-Gen Console Ports), Feral Interactive (Mac/Linux Ports) and Square Visual Works (CGI) | Publisher: Square Enix | Release Date: March 5, 2013 Jacob, Mike, Moe and Special Guest Kevin Reaburn travel to the Dragon's Triangle, reminisce about TressFX and miss spring game sales by two days. You can now join our Discord server! Go to LeftBehindGame.Club and scroll down to the Discord section of the homepage! We launch our God of War (2005) episode on April 18th. Players: Jacob McCourt (@JacobMcCourt), Michael Ruffolo (@ruffolom) and Moe Murtadi (@mmurtadi) Special Guest: Kevin Reaburn (@ATribeCalledKev) Website: LeftBehindGame.Club | Twitter: @LeftBehindClub Show Notes (spoilers): 1:30 Jacob re-introduces the audience to Kevin Reaburn 2:40 Kevin starts with a big question: "which came first?" (correction: pre-Crystal Dynamics' Tomb Raider games were developed by Core Design) 5:30 Our exposure to the Tomb Raider franchise 8:40 The writers of Tomb Raider: Rhianna Pratchett and Susan O’Connor 9:30: So many credits in this game! 10:05: The story of Tomb Raider (2013) 11:20 It's just called Tomb Raider, y'all 13:00 What is the Definitive Edition? Also, TressFX 14:50 This isn't the "old Lara" 18:35 The rest of the crew of the Endurance 19:10 Hunting and gathering 23:00 Survival Instinct 24:15 We debate about the best weapon in the game 25:20 This game is so violent and has much dirty rebar 28:40 A bear trap and a wolf attack 30:05 Tomb Raider's world building 31:20 Jacob's Dad Moment 33:20 Encounters with the supernatural 35:50 Lara's First Kill ("kills a deer, kills a man and kills everyone") 38:35 The game's progression 40:05 Slow-mo time (aka the Steady Shot), fire arrows and headshot reticle 42:35 Combat puzzles & Tomb Raider vs. Uncharted 45:05 Comparing the game to Indiana Jones 46:15 Shantytown and difficulty 49:00 The landscape and the tombs 51:45 Smart AI 53:20 Under-developed side characters 54:20 Dual pistols are overrated 55:30 Issues with the next-gen ports and great checkpoints 59:55 The final confrontation 1:04:40 The Final Hours of Tomb Raider & Jason Graves' soundtrack/"The Instrument" 1:06:25 Final thoughts 1:11:00 Kevin missed the Xbox Spring Sale by two days. We tell him about for the first time here.
There are a variety of hubs on the market for people who have Smart Homes. Those hubs are specialized to coordinate with the products that make up your IoT. You need another device if you want to make use of a digital assistant, a smartphone for calls, and a computer for games and music. SmartBeings … Continue reading WooHoo Next Generation of Smart AI Assistants at CES 2018 → The post WooHoo Next Generation of Smart AI Assistants at CES 2018 appeared first on Geek News Central.
This week I am bringing to you yet another troubled childhood story. But this character is nothing short of a living legend. He is Master Chief Petty Officer John 117. Master Chief Petty Officer John-117 is arguably the most pivotal and important figure of the human race in the mid-26th century. Abducted at the age of six years old from his homeworld of Eridanus II by the Office of Naval Intelligence (ONI), he was conscripted into the SPARTAN-II program. The initiative was originally designed to quell human rebellion against the Unified Earth Government as the human Insurrection movement neared its tipping point. John endured harsh physical and mental training, survived the physical augmentations required by the program, and was integrated into state-of-the-art Mjolnir battle armor. He was later paired with an incredibly advanced Smart AI known as Cortana. John and Cortana were the culminations of the SPARTAN-II and MJOLNIR programs, allowing a Spartan to safely carry an extremely powerful AI into combat--an advancement that ultimately changed the course of the war. I feel Like I have been preparing this show for the last 16 years or since the first Game was released. But it was when I saw his story expanded from the console to the movies and you learn of his upbringing, thats when I truly felt admiration for him. John is an Empathic Killing Machine as you will learn. If you enjoyed my show and want to hear more show me some support Rate and Review its how people find me. Please share with a friend My TeePublic Store Patreon Social Media Facebook Instagram also on Twitter @allgeeksaside email: allgeeksaside@gmail.com I would appreciate it if you leave me a review on iTunes, it is how people find me most of the time. Thank you to all my friends who listen. Music: https://www.bensound.com Characters are owned by all respective owners
Inbound Marketing Expert Wes Schaeffer The Sales Whisperer® Hosts The CRM Sushi Podcast
http://www.thesaleswhisperer.com/blog/sharpspring-crm http://ReferWes.com http://BestCRMForMe.com Alexander Lalonde Health, wellness, beauty, spas, tanning, waxing Mobile-friendly booking engine Can be white-labeled via their API Operates like an airline Resource-based Time Employee Price Realtime Tiers / exerience level Level 1 PCI compliant Take a deposit Hold credit card Pre-pay Accept cancellation policy 33% of Millenials will never pick up a phone to book a reservation 70%+ of traffic is on mobile "Match or beat" merchant account policy with three partners Clover Mini card-swipe Client-facing terminal (Chip-reader, Apple Pay, Tip, Receipts) Use Booker's tab for Walk-Ins Same framework as Google Calendar Add manually for call-ins Added to CRM Staff notified based on their preferences Pre-check-in feature Set-it and Forget-it reminders (email and text) Frederick Acquired 18 months ago for 2-way texting Smart marketing / rescue lost customers Setup suggested services Do a drip campaign with discount thresholds Smart AI to learn from the interaction of the customer Full email blasts Feedback and reviews NPS—Net Promoter Scores Side panel for fast check-in and check-out SaaS / Cloud-based Apple and Android apps with branded apps if interested Saves credit cards securely, which streamlines membership subscriptions Full-featured CRM Profile photo Progress notes with date and time stamp Appointments Orders Purchases Segment your list Customizable fields Basic Standard Plus (best if you need intake forms with custom information) Staff Salary structures Schedule Time clock Payroll (access granted to contractors) Products Vendors POs Inventory levels Reports / Business Intelligence Easy, informative dashboards (run on mobile) Customer App Direct interface to Google Yelp Facebook Referrals Groupon Magazine Ads Newspaper Ads Month-to-Month contracts Less than a typical cell phone bill Embrace the change! Get off of pen and paper and get on Booker. You get the onboarding help you need
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