Podcast appearances and mentions of watson ai

One of the biggest downsides of consumer AI?It doesn't have up-to-date access to your enterprise data. Even as frontier labs work tirelessly to connect and integrate AI chatbots with your data, we're a far way off from that happening. Unless you're using a platform like IBM's watsonx. And if you are using watsonx, your go-to enterprise AI platform just got a TON more powerful. IBM just unveiled updates across its watson ecosystem at its Think 2025 conference. We've been here covering every step of it, so we're jumping into what you need to know.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the conversation.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:IBM Think Conference 2025 HighlightsIBM's Watson AI Platform UpdatesEnterprise Workflow with Watson x OrchestrateBuild Your Own AI Agents FeaturesPrebuilt Domain Agents OverviewNew Agent Catalog with 50+ AgentsIBM and Salesforce AI CollaborationIBM's Partnership with Oracle for AITimestamps:00:00 Amazon's Advanced AI Coding Tool Kiro03:52 AI Delivers Victim's Court Statement07:12 "IBM Conference Insights and Updates"12:52 Rise of Small Language Models16:03 Watson x Orchestrate Overview17:13 "Streamlined Internal Workflow Automation"21:02 DIY AI Agents Revolution23:52 AI Trust Through Transparent Reasoning28:23 Prebuilt AI Agents Boost Efficiency31:20 IBM Watson AI Traceability Insights35:14 AI Platforms Crossover: Watson and Salesforce41:10 IBM's AI Data Platform Enhancement44:59 IBM Watson x Q&A InvitationKeywords:IBM Think 2025, AI updates, Enterprise work, IBM Watson, Generative AI, Enterprise organizations, IBM products, Watson AI platforms, AI news, Amazon Kiro, Code generation tool, AI agents, Technical design documents, OpenAI, Google's Gemini 2.5 Pro, Web app development, Large Language Models, Enterprise systems, Dynamic enterprise data, Enterprise-grade versions, Meta's Llama, Mistral models, Granate models, Small language models, IBM Watson x, AI agent creation, Build your own agents, Prebuilt domain agents, Salesforce collaboration, Oracle Cloud, Multi agent orchestration, Watson x data intelligence, Unstructured data, Open source models, Consumer grade GPU, Data governance, Code transformation, Semantic understanding, Hybrid cloud strategy.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

Building Trust Through Technology: Responsible AI in Practice // MLOps Podcast #299 with Animesh Singh, Executive Director, AI Platform and Infrastructure of LinkedIn.Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // AbstractAnimesh discusses LLMs at scale, GPU infrastructure, and optimization strategies. He highlights LinkedIn's use of LLMs for features like profile summarization and hiring assistants, the rising cost of GPUs, and the trade-offs in model deployment. Animesh also touches on real-time training, inference efficiency, and balancing infrastructure costs with AI advancements. The conversation explores the evolving AI landscape, compliance challenges, and simplifying architecture to enhance scalability and talent acquisition.// BioExecutive Director, AI and ML Platform at LinkedIn | Ex IBM Senior Director and Distinguished Engineer, Watson AI and Data | Founder at Kubeflow | Ex LFAI Trusted AI NA ChairAnimesh is the Executive Director leading the next-generation AI and ML Platform at LinkedIn, enabling the creation of the AI Foundation Models Platform, serving the needs of 930+ Million members of LinkedIn. Building Distributed Training Platforms, Machine Learning Pipelines, Feature Pipelines, Metadata engines, etc. Leading the creation of the LinkedIn GAI platform for fine-tuning, experimentation and inference needs. Animesh has more than 20 patents and 50+ publications. Past IBM Watson AI and Data Open Tech CTO, Senior Director, and Distinguished Engineer, with 20+ years experience in the Software industry, and 15+ years in AI, Data, and Cloud Platform. Led globally dispersed teams, managed globally distributed projects, and served as a trusted adviser to Fortune 500 firms. Played a leadership role in creating, designing, and implementing Data and AI engines for AI and ML platforms, led Trusted AI efforts, and drove the strategy and execution for Kubeflow, OpenDataHub, and execution in products like Watson OpenScale and Watson Machine Learning. // Related LinksComposable Memory for GPU Optimization // Bernie Wu // Pod #270 - https://youtu.be/ccaDEFoKwko~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Animesh on LinkedIn: /animeshsingh1Timestamps:[00:00] Animesh's preferred coffee[00:16] Takeaways[02:12] What is working? [07:00] What's not working?[13:40] LLM vs Rexis Efficiency[21:49] GPU Utilization and Architecture[27:32] GPU reliability concerns[36:50] Memory Bottleneck in AI[41:06] Optimizing LLM Checkpointing[46:51] Checkpoint Offloading and Platform Design[54:55] Workflow Divergence Points[58:41] Wrap up

Ishveen Anand is the CEO and founder of OpenSponsorship, a platform that connects brands with athletes in the $140 billion sponsorship industry.   Ishveen shares her journey into sports sponsorship, which began when she became a sports agent in 2009.   She recognized the challenges in securing sponsorship deals and was inspired to create a more efficient and accessible solution through technology.   OpenSponsorship uses IBM's Watson AI to facilitate connections between brands and athletes, prioritizing genuine interests rather than just financial incentives.   Ishveen emphasizes the importance of understanding what athletes are passionate about in promoting authentic partnerships and shifting away from traditional sponsorship approaches.   Ishveen shares advice on acquiring strategies and productivity tools for business owners and reflects on the importance of being aggressive and adapting quickly in business.   Website: OpenSponsorship   Previous Episode: iam177-ceo-and-founder-breaks-down-barriers-in-sponsorship-process   Check out our CEO Hack Buzz Newsletter–our premium newsletter with hacks and nuggets to level up your organization. Sign up HERE.  I AM CEO Handbook Volume 3 is HERE and it's FREE. Get your copy here: http://cbnation.co/iamceo3. Get the 100+ things that you can learn from 1600 business podcasts we recorded. Hear Gresh's story, learn the 16 business pillars from the podcast, find out about CBNation Architects and why you might be one and so much more. Did we mention it was FREE? Download it today!

https://youtu.be/u6ZNlhGfAqk Download as MP3 (https://aphid.fireside.fm/d/1437767933/32f28071-0b08-4ea1-afcc-37af75bd83d6/c01e01a8-a442-4b52-a51a-a5e0d02a3cc6.mp3) Sponsored by Kolide: If a device isn't secure, it can't access your apps. It's device trust for Okta. Visit destinationlinux.net/kolide (https://destinationlinux.net/kolide) to learn more and watch a demo. Sponsored by LINBIT: Visit destinationlinux.net/linbit (https://destinationlinux.net/linbit) to learn how LINBIT's OSS, based on DRBD® and LINSTOR®, can be used for Kubernetes, CloudStack, OpenNebula, and more. Support the show by becoming a patron at tuxdigital.com/membership (https://tuxdigital.com/membership) or get some swag at tuxdigital.com/store (https://tuxdigital.com/store) Hosted by: Michael Tunnell = michaeltunnell.com (https://michaeltunnell.com) Ryan DasGeek = dasgeek.net (https://dasgeek.net) Jill Bryant = jilllinuxgirl.com (https://jilllinuxgirl.com) Chapters: 00:00:00 Intro 00:00:53 Community Feedback 00:07:52 Sponsored by Kolide 00:10:54 Controlling Your Device with Your Face 00:29:23 Sponsored by LINBIT 00:30:42 IBM listens to us about Watson AI 00:40:06 Star Trek: Resurgence (Linux Gaming) 00:57:48 Software Spotlight: Morphosis 01:03:01 Tip of the Week: scrot 01:05:38 Outro Links: Community Feedback https://destinationlinux.net/comments (https://destinationlinux.net/comments) https://github.com/AIRLegend/aitrack (https://github.com/AIRLegend/aitrack) https://github.com/opentrack/opentrack (https://github.com/opentrack/opentrack) https://medium.com/@manchalasreekanth999/building-an-eye-controlled-mouse... (https://medium.com/@manchalasreekanth999/building-an-eye-controlled-mouse-using-python-and-opencv-f07934a4e15c) Controlling Your Device with Your Face https://thesun.my/style-life/face-cursor-code-goes-open-source... (https://thesun.my/style-life/face-cursor-code-goes-open-source-KO12496268) IBM listens to us about Watson AI https://newsroom.ibm.com/2024-05-21-IBM-Unveils-Next-Chapter-of-watsonx... (https://newsroom.ibm.com/2024-05-21-IBM-Unveils-Next-Chapter-of-watsonx-with-Open-Source,-Product-Ecosystem-Innovations-to-Drive-Enterprise-AI-at-Scale) Star Trek: Resurgence (Linux Gaming) https://store.steampowered.com/app/2653940/StarTrekResurgence/ (https://store.steampowered.com/app/2653940/Star_Trek_Resurgence/) Software Spotlight: Morphosis https://flathub.org/apps/garden.jamie.Morphosis (https://flathub.org/apps/garden.jamie.Morphosis) Tip of the Week: scrot https://github.com/resurrecting-open-source-projects/scrot (https://github.com/resurrecting-open-source-projects/scrot)

Calculating who is set to lose the most in the showdown between Disney and Charter is complex. Disney could lose contract fees for Charter's 15 million subscribers, but the dispute is also driving a huge jump in Hulu + Live TV subs. Disney owns 67% of Hulu, but will also soon renegotiate ownership with Comcast. Plus, AI is increasingly playing a role in sports, most recently in this year's U.S. Open. The USTA has been using IBM's Watson AI to provide commentary, working to translate it into every possible language, and has even correctly forecast who's most likely to win a match.  

Sinds 1950 is IBM al bezig met kunstmatige intelligentie en is terug te lezen in onder andere Georgetown Experiment waarbij in 1954 al een automatisch vertaling werd gedaan van Russisch naar Engels, Deep Blue waarbij een schaakkampioen voor het eerst verslagen werd door een computer, Jeopardy Game Show waar een computer als winnaar uit kwam en als laatste Project Debater welke in staat is om een debat aan te gaan en volledig te onderbouwen. Tegenwoordig zien we kunstmatige intelligentie overal om ons heen. Als we kijken naar de zoekmachines, spam filters, fraude detectie, dan zien we dat ze allemaal gebruik maken van taaltechnologie. De modellen worden steeds complexer en de antwoorden klinken steeds menselijker. Vandaag aan tafel Joost Vos, technisch specialist in Natural Language Processing. We gaan samen dieper in op taaltechnologie zoals Watson Assistant en Watson Discovery. Natuurlijk hebben we het ook even over Watson vs ChatGPT :) Show Notes:IBM i bestaat 35 jaar: https://comeur.org/common-europe-congress-2023/SAP en Watson AI: https://newsroom.ibm.com/2023-05-02-SAP-to-Embed-IBM-Watson-Artificial-Intelligence-into-SAP-R-SolutionsIBM Technology YouTube: https://www.youtube.com/watch?v=cbUIGSMf7HkSmart Talks with IBM Podcast: https://www.ibm.com/thought-leadership/smart/talks/Watson AI, Jeopardy Spel Show: https://www.youtube.com/watch?v=lI-M7O_bRNgGeorgetown IBM Experiment: https://www.ibm.com/ibm/history/exhibits/701/701_translator.htmlhttps://en.wikipedia.org/wiki/Georgetown–IBM_experimentWatson Assistant: https://www.ibm.com/products/watson-assistantWatson Discovery: https://www.ibm.com/cloud/watson-discoveryWatson Libraries: Embeddable AI: https://developer.ibm.com/technologies/embeddable-ai/IBM Project Debater: https://research.ibm.com/interactive/project-debater/Innovative Woo-tooling dankzij AI: https://you-get.com/open-overheid-woo/Gebruikte afkorting(en):NLP: Natural Language ProcessingAI: Artificial IntelligenceML: Machine LearningAVG: Algemene Verordening GegevensbeschermingWOB (verzoek): Wet Openbaarheid van BestuurWOO (verzoek): Wet Open OverheidOp- en aanmerkingen kunnen gestuurd worden naar: ofjestoptdestekkererin@nl.ibm.com

0:00 Intro01:17 Gina's book - Good Power03:39 Ginni on becoming IBM's CEO07:00 The Infinite Game10:00 Ginni's childhood adversity14:23 Is hard work controversial? 18:34 Obstacles, risk-taking, victimhood24:30 Should you fit in or should you stand out?33:54 What should change and what should endure42:53 Chat GPT, the state of AI46:44 Lessons from Ginni's bookWe had the privilege to host Ginni Rometty, former IBM CEO and author of the thought-provoking book "Good Power." Join us as she shares her remarkable journey of overcoming adversities and navigating her illustrious career in the tech industry. From her early struggles to becoming a trailblazing leader, Ginni Rometty's story is one of resilience, determination, and the transformative power of embracing challenges. Discover her insights on leadership, innovation, and the pursuit of good power in this inspiring conversation.

At The Masters, viewers will have the option to get their commentary from IBM's Watson AI program. Connor and Josh do not like this development.

During this time of lockdown, the centre for quantum software and information (QSI) at the University of Technology Sydney has launched an online seminar series. With talks once or twice a week from leading researchers in the field, meQuanics is supporting this series by mirroring the audio from each talk. I would encourage if you listen to this episode, to visit and subscribe to the UTS:QSI YouTube page to see each of these talks with the associated slides to help it make more sense. https://youtu.be/2syrO_asU5Y Hardness of Random Circuit Sampling (Google's supremacy experiment) TITLE: Cayley Path and Quantum Supremacy SPEAKER: Dr Ramis Movassagh AFFILIATION: MIT-IBM Watson AI Lab, Cambridge MA, USA HOSTED BY: Prof Michael Bremner, UTS Centre for Quantum Software and Information ABSTRACT: Given the large push by academia and industry (e.g., IBM and Google), quantum computers with hundred(s) of qubits are at the brink of existence with the promise of outperforming any classical computer. Demonstration of computational advantages of noisy near-term quantum computers over classical computers is an imperative near-term goal. The foremost candidate task for showing this is Random Circuit Sampling (RCS), which is the task of sampling from the output distribution of a random circuit. This is exactly the task that recently Google experimentally performed on 53-qubits. Stockmeyer's theorem implies that efficient sampling allows for estimation of probability amplitudes. Therefore, hardness of probability estimation implies hardness of sampling. We prove that estimating probabilities to within small errors is #P-hard on average (i.e. for random circuits), and put the results in the context of previous works. Some ingredients that are developed to make this proof possible are construction of the Cayley path as a rational function valued unitary path that interpolate between two arbitrary unitaries, an extension of Berlekamp-Welch algorithm that efficiently and exactly interpolates rational functions, and construction of probability distributions over unitaries that are arbitrarily close to the Haar measure. RELATED ARTICLES: Unitary-valued paths, and an algebraic proof technique in complexity theory: https://ramismovassagh.wordpress.com/... Cayley path and quantum computational supremacy: A proof of average-case #P−hardness of Random Circuit Sampling with quantified robustness: https://arxiv.org/abs/1909.06210 Efficient unitary paths and quantum computational supremacy: A proof of average-case hardness of Random Circuit Sampling: https://arxiv.org/abs/1810.04681 OTHER LINKS: Ramis Movassagh Personal Webpage: https://ramismovassagh.wordpress.com/ MIT-IBM Watson AI Lab: https://mitibmwatsonailab.mit.edu/

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractMaking Data Simple Podcast is hosted by Al Martin, WW VP Account Technical Leader IBM Technology Sales, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.This week on Making Data Simple, we have Michael Haase. Michael is CEO and Founder of Plant Jammer. Plant Jammer is a 5 year old startup that uses AI to help people cook. Michael was formally a Mackenzie Consultant. The technology used won the IBM Watson AI in 2018, Michael also won the Creative Business Cup in 2018 and Green Entrepreneur award by Veggie World.Show Notes2:40 – What data are you using?8:16 – What the widget does10:53 – Do I get the nutritional facts? 11:17 – Tell us more about your experience14:50 – Where does AI fit?19:10 – How did you win the Watson AI award?23:02 – What is your monetization strategy?   Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. 

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractMaking Data Simple Podcast is hosted by Al Martin, WW VP Account Technical Leader IBM Technology Sales, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.This week on Making Data Simple, we have Michael Haase. Michael is CEO and Founder of Plant Jammer. Plant Jammer is a 5 year old startup that uses AI to help people cook. Michael was formally a Mackenzie Consultant. The technology used won the IBM Watson AI in 2018, Michael also won the Creative Business Cup in 2018 and Green Entrepreneur award by Veggie World.Show Notes2:40 – What data are you using?8:16 – What the widget does10:53 – Do I get the nutritional facts? 11:17 – Tell us more about your experience14:50 – Where does AI fit?19:10 – How did you win the Watson AI award?23:02 – What is your monetization strategy?   Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. 

Today I am thrilled to be sharing a full episode from my all new Conversations with CommerceNext podcast featuring Jon Mandell, Senior Vice President of Global Membership Marketing and Commerce with WW.  WW started their digital transformation long before the pandemic demanded brands to keep up with the great acceleration of eCommerce, and on this episode along with my co-host Scott Silverman  we get an inside look at the process and people behind WW's great leap forward and how the groundwork laid in the past is preparing them for future success.Jon walks us through the overall process and strategy behind the transition, and how the pandemic changed the game.  We ask Jon about his career, what he looks for when building a resilient team, and advice that he would give his past self.To discover career opportunities with WW click here. I launched the Conversations with CommerceNext podcast with my U.S. based partners to meet the top practitioners and thought leaders in the DTC & eCommerce marketing space, and explore both their tradecraft and share the learnings from their career journeys.  Let's listen in now as Scott kicks off our conversation. Thanks for tuning into this episode of Conversations with CommerceNext.  Please follow us on Apple, Spotify, Amazon Music or your favorite podcast platform where we'll be sharing career advice and marketing strategies from eCommerce and digital marketing leaders at retailers and direct-to-consumer brands each and every episode.   CommerceNext is a community, event series and conference for marketers at retail and direct-to-consumer brands. Through our online forums, interviews, webinars, summits and other in-person events, we harness the collective wisdom of our community to help marketers grow their businesses and advance their careers. Join CommerceNext events to meet other industry leaders and learn the latest ecommerce and marketing strategies. You can find upcoming events at CommerceNext.com Jon MandellSVP, CXO, C-suite Leader → Brand Transformation Catalyst → Customer Engagement StrategistBuilding, leading, and optimizing customer-centric organizations to drive growth and revenue has been the hallmark of my career. I leverage strategy, technology, operational excellence, and innovation to shape unique customer experiences that deliver value and engender customer engagement, loyalty, and retention. I excel in identifying business growth opportunities in organizations and developing them into impactful business drivers to increase revenue, income and previously untapped value.My experience spans executive leadership roles (transformations, growth initiatives, M&A, turnarounds, and integrations) with leading public companies (WW & 1-800-Flowers.com), co-founder/COO/MD of 2 technology startups, operations and general management roles, and an early career with AT&T Wireless. As a leader, I am best known for expanding the vision for what is possible and forming cohesive, motivated teams to drive organizational growth boldly and systematically from the ground up.CAREER MILESTONES

Welcome to the Conversations with CommerceNext podcast, I'm your host Michael LeBlanc, and this podcast is brought to you in conjunction with CommerceNext and presented by Bloomreach. WW started their digital transformation long before the pandemic demanded brands to keep up with the great acceleration of eCommerce. Today on the Conversations with CommerceNext podcast, get an inside look at the process and people behind WW's great leap forward and how the groundwork laid in the past is preparing them for future success.Scott Silverman and I talk to one of the great minds behind this major moment in WW history - Jon Mandell, Senior Vice President of Global Membership Marketing and Commerce.Jon walks us through the overall process and strategy behind the transition, and how the pandemic changed the game.  We ask Jon about his career, what he looks for when building a resilient team, and advice that he would give his past self.To discover career opportunities with WW click here. Thanks for tuning into this episode of Conversations with CommerceNext.  Please follow us on Apple, Spotify, Amazon Music or your favorite podcast platform where we'll be sharing career advice and marketing strategies from eCommerce and digital marketing leaders at retailers and direct-to-consumer brands each and every episode.   CommerceNext is a community, event series and conference for marketers at retail and direct-to-consumer brands. Through our online forums, interviews, webinars, summits and other in-person events, we harness the collective wisdom of our community to help marketers grow their businesses and advance their careers. Join CommerceNext events to meet other industry leaders and learn the latest ecommerce and marketing strategies. You can find upcoming events at CommerceNext.com Jon MandellSVP, CXO, C-suite Leader → Brand Transformation Catalyst → Customer Engagement StrategistBuilding, leading, and optimizing customer-centric organizations to drive growth and revenue has been the hallmark of my career. I leverage strategy, technology, operational excellence, and innovation to shape unique customer experiences that deliver value and engender customer engagement, loyalty, and retention. I excel in identifying business growth opportunities in organizations and developing them into impactful business drivers to increase revenue, income and previously untapped value.My experience spans executive leadership roles (transformations, growth initiatives, M&A, turnarounds, and integrations) with leading public companies (WW & 1-800-Flowers.com), co-founder/COO/MD of 2 technology startups, operations and general management roles, and an early career with AT&T Wireless. As a leader, I am best known for expanding the vision for what is possible and forming cohesive, motivated teams to drive organizational growth boldly and systematically from the ground up.CAREER MILESTONES

Our guest this week on the Absolutely Write podcast is Arun Cavale. Arun is an award-winning Marketing and Communications leader with over 22 years of experience driving significant demand and revenue growth across multiple markets and businesses. He currently leads marketing and strategy to launch scalable campaigns for IBM's Cloud, Analytics and Watson AI portfolio across South East Asia. A recipient of multiple awards and recognition for his work, Arun was listed in Forbes as one of the '50-Best Marketing & Communications leaders in Asia'; he was also awarded 'The Most Influential Global Marketing Leader 2018' by CMO Asia and the World Marketing Congress. Arun is also a sought-after public speaker, an international Badminton player, a crypto-investor and a 100% hands-on father to his teen human daughter and a canine son. Aditi analyses Arun's handwriting and talks about what makes him an analytical thinker, a successful leader and a resilient sportsman. Arun shares some brilliant learnings and takeways for us to keep in mind. Do tune in to this episode of Absolutely Write. Follow him on Twitter: @aruncavale Linkedin: https://www.linkedin.com/in/aruncavale

The Faultline Podcast is an audio companion to Rethink Technology Research's Faultline service, a weekly news service that examines the video market – focused on Pay TV, OTT, SVoD, and the technology that supports them. Occasionally, our Rethink TV research wing stops by, to talk about upcoming forecasts and macroeconomic trends we're seeing. Hosted by Alex Davies, Tommy Flanagan, and Rafi Cohen, The Faultline Podcast hits the most important points from the last week's news. If you're in the business world and deal with video content, Faultline is a service you'll want to pay attention to. Find out more at: https://rethinkresearch.biz/product/faultline/ We're on Twitter too: https://twitter.com/_Faultline_ And LinkedIn: https://www.linkedin.com/showcase/faultline/

Hear from Emily Kennedy, President and Founder of Marinus Analytics, talk about the company being the lone American finalist for the global IBM Watson AI XPRIZE Competition. Marinus Analytics uses AI to get actionable insights out of big data to empower a victim-centered response and serve experts working on the front lines of public safety. The flagship tool, Traffic Jam, revolutionizes the way detectives are able to stop and prevent human trafficking, recover victims and dismantle organized criminal networks.

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Claude Yusti. Claude is a Partner in IBM Global Business Services and is responsible for leading the Watson AI and Data Platform Practice for Public Sector. His primary clients are in Health and Human Services. He has over 30 years of experience in the Government and Healthcare industries and has worked with a number of industry. Show Notes2:00 – What questions do government and health care have?8:10 – How different are government and health care?12:40 - ROI within government and health care.cayusti@us.ibm.comClaude Yusti - LinkenIn http://www.businessofgovernment.org/bio/claude-yusti Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Claude Yusti. Claude is a Partner in IBM Global Business Services and is responsible for leading the Watson AI and Data Platform Practice for Public Sector. His primary clients are in Health and Human Services. He has over 30 years of experience in the Government and Healthcare industries and has worked with a number of industry. Show Notes2:00 – What questions do government and health care have?8:10 – How different are government and health care?12:40 - ROI within government and health care.cayusti@us.ibm.comClaude Yusti - LinkenIn http://www.businessofgovernment.org/bio/claude-yusti Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.

AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Claude Yusti. Claude is a Partner in IBM Global Business Services and is responsible for leading the Watson AI and Data Platform Practice for Public Sector. His primary clients are in Health and Human Services. He has over 30 years of experience in the Government and Healthcare industries and has worked with a number of industry. Show Notes6:19 – Working with government9: 58 - On what context are you defining AI?11:04 – How do you see the protection of data?18:05 – Use cases25:01 – Skills, security, data set control and how the government differs from private sector? Claude Yusti - LinkenIn Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.

AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Claude Yusti. Claude is a Partner in IBM Global Business Services and is responsible for leading the Watson AI and Data Platform Practice for Public Sector. His primary clients are in Health and Human Services. He has over 30 years of experience in the Government and Healthcare industries and has worked with a number of industry. Show Notes6:19 – Working with government9: 58 - On what context are you defining AI?11:04 – How do you see the protection of data?18:05 – Use cases25:01 – Skills, security, data set control and how the government differs from private sector? Claude Yusti - LinkenIn Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.

Today's episode is sponsored by IBM, with Dane Gambrill stopping by for a chat about the hardware and AI systems that support major sporting events like the US Open in 2020. With fans now watching remotely, digital interaction becomes a much bigger part of the fan experience. We dig into how Watson AI has helped create smarter highlights packages, improve the crowd effects and make better digital assistants to give us better and easier access to the event online. See acast.com/privacy for privacy and opt-out information.

What is the background of AI and who created artificial intelligence? Today, we dive in to the history of AI. From the days of the Dartmouth Summer Research Project on artificial intelligence to Navlab to IBM's Watson AI, I take you through the origins of AI.    SUBSCRIBE – YouTube: https://bit.ly/aiwalexs | Alex's Newsletter: https://www.whyofai.com/newsletter | LEARN – Artificial Intelligence Courses and Certifications at Why of AI: https://www.whyofai.com | Alex's Book: https://www.whyofai.com/ai-book | Alex's Book on Amazon: https://amzn.to/2O54wQU |  SOCIAL – Twitter: https://twitter.com/alexcastrounis | LinkedIn: https://www.linkedin.com/in/alexcastrounis | © Why of AI 2021. All Rights Reserved.Support the show (https://www.buymeacoffee.com/alexcastrounis/)

Many forces and pressures have been building and creating a desire for remote work, which is the topic of today's episode. When you have a culture of mutual respect, trust, a clear and simple strategy, and outcome-based work, it doesn't matter if your workforce is co-located or distributed around the globe. A culture that celebrates the remote workforce opens itself to a greater pool of top talent which could greatly improve the profitability of the company. When I was thinking about who to interview for this podcast, I couldn't think of a better person than Bernie Spang, who I worked for on a remote team for a little over 2 years at the turn of the century. Bernie ran the WebSphere Studio Tools Marketing team that was part of the WebSphere Middleware Marketing team that was a part of the IBM Software Group. He currently is Program Director, Watson AI-powered virtual assistants, IBM.

Happy Holidays from the Making Data Simple team!Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractThis week on Making Data Simple, our guest is Beth Smith, IBM General Manager for Watson AI. Host Al Martin and Beth tackle a question they are often asked - what is Watson? Together, they define the product and the brand, and what it means for IBM. Connect with BethLinkedInTwitterIBM BlogsShow Notes03:00 - Discover the Watson family of products by IBM.03:09 - Check out this video by MIT Technology Review, showing some context to the inaugural Jeopardy! game debut. 08:28 - This article investigates the emergence of the AI era.22:35 - Check out this article explaining why the customer experience matters.Connect with the TeamProducer Liam Seston - LinkedIn.Producer Lana Cosic - LinkedIn.Producer Meighann Helene - LinkedIn. Producer Mark Simmonds - LinkedIn. Host Al Martin - LinkedIn and Twitter.

Happy Holidays from the Making Data Simple team!Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractThis week on Making Data Simple, our guest is Beth Smith, IBM General Manager for Watson AI. Host Al Martin and Beth tackle a question they are often asked - what is Watson? Together, they define the product and the brand, and what it means for IBM. Connect with BethLinkedInTwitterIBM BlogsShow Notes03:00 - Discover the Watson family of products by IBM.03:09 - Check out this video by MIT Technology Review, showing some context to the inaugural Jeopardy! game debut. 08:28 - This article investigates the emergence of the AI era.22:35 - Check out this article explaining why the customer experience matters.Connect with the TeamProducer Liam Seston - LinkedIn.Producer Lana Cosic - LinkedIn.Producer Meighann Helene - LinkedIn. Producer Mark Simmonds - LinkedIn. Host Al Martin - LinkedIn and Twitter.

In this episode of AI Buzz, I will discuss how the latest project from IBM Watson, Project Debater, can hold its own with human-level debater. Also, the impact that AI will have on the field of psychiatry will be talked about along with how the United States is currently tackling AI regulation.

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractThis week on Making Data Simple, our guest is Beth Smith, IBM General Manager for Watson AI. Host Al Martin and Beth tackle a question they are often asked - what is Watson? Together, they define the product and the brand, and what it means for IBM. Connect with BethLinkedInTwitterIBM BlogsShow Notes03:00 - Discover the Watson family of products by IBM.03:09 - Check out this video by MIT Technology Review, showing some context to the inaugural Jeopardy! game debut. 08:28 - This article investigates the emergence of the AI era.22:35 - Check out this article explaining why the customer experience matters.Connect with the TeamProducer Liam Seston - LinkedIn.Producer Lana Cosic - LinkedIn.Producer Meighann Helene - LinkedIn. Producer Mark Simmonds - LinkedIn. Host Al Martin - LinkedIn and Twitter.

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractThis week on Making Data Simple, our guest is Beth Smith, IBM General Manager for Watson AI. Host Al Martin and Beth tackle a question they are often asked - what is Watson? Together, they define the product and the brand, and what it means for IBM. Connect with BethLinkedInTwitterIBM BlogsShow Notes03:00 - Discover the Watson family of products by IBM.03:09 - Check out this video by MIT Technology Review, showing some context to the inaugural Jeopardy! game debut. 08:28 - This article investigates the emergence of the AI era.22:35 - Check out this article explaining why the customer experience matters.Connect with the TeamProducer Liam Seston - LinkedIn.Producer Lana Cosic - LinkedIn.Producer Meighann Helene - LinkedIn. Producer Mark Simmonds - LinkedIn. Host Al Martin - LinkedIn and Twitter.

Mike Jacobs of IBM’s corporate social responsibility team, joined me to talk about the ways IBM is using its technology for good, especially water scarcity. All the technology that is being used by corporations for business purposes is now being deployed, often on concessionary terms, to address social problems. Interview with Mike Jacobs, the Business Strategy Leader & Chief of Staff, Corporate Social Responsibility at IBM of IBM. How are you personally affected by Using Technology to Combat Freshwater Scarcity? I am lucky to have access to fresh, running water. What’s most important to me is that IBM is making a real impact for others who don’t have access to clean water. My background is in disaster relief and helping communities build resiliency, so I know how important it is to deliver tailored and localized solutions that drive meaningful impact. IBM combines leading artificial intelligence (AI), cloud, Internet of Things (IoT) and blockchain technology to predict extreme weather and help people and businesses prepare and respond to the changing climate which endangers freshwater supplies around the globe. The world at large needs to mobilize quickly and in deep and meaningful ways on environmental challenges, clean water access in particular. This is an area where IBM can provide unique strategic support given our expertise in solutions-oriented technologies. Never miss another interview! Join Devin here: http://bit.ly/joindevin.

HR Happy Hour 375-  Developing the Talent You Already Have Host: Trish McFarlane Guest: Sunita Navile, Global Offering Go-to-Market Strategy Leader, Watson Talent at IBM and Tara O'Sullivan, CMO at Skillsoft Sponsored by Panopto - For businesses and universities, Panopto is everything YouTube isn’t. With enterprise-grade security, built-in recording, live streaming, and a unique search engine that finds any word spoken in any video, Panopto is how professionals share knowledge. Today on the HR Happy Hour Show, Trish and was joined by Sunita Navile, Global Offering Go-to-Market Strategy Leader, Watson Talent at IBM and Tara O'Sullivan, CMO at Skillsoft. On the show, Sunita shared how using Watson AI works with your data in Skillsoft to tag the content with skills, then make learning recommendations.  Using technology in this way promotes internal mobility though a highly personalized experience.  She shared several tips and tricks to better manage the talent you already have.  Tara shared ideas on job adjacency and how understanding skills and learning can open your employees up to roles they may not be aware of.  It shows many paths to have opportunities in an organization.  These are just a few topics we covered.   This was a fun and interesting show, thanks so much Sunita and Tara for joining us. Remember to subscribe to the HR Happy Hour Show wherever you get your podcasts. And add the HR Happy Hour Show to your Amazon Echo device's Daily Flash Briefing - just search for the HR Happy Hour skill on your Alexa app.

Airports, the challenges of the CI/CD market, authentication woes. Plus: “Why don’t you just do this.” 86.1 degrees. The cold side of the pillow. Relevant to your interests Apple Watch authentication expanding beyond unlocking your Mac in macOS 10.15 (https://9to5mac.com/2019/04/18/apple-watch-mac-password/). IBM is preparing to close its $34 billion acquisition of Red Hat, but Wall Street has 'real question marks' after its 'mediocre' quarter (https://www.businessinsider.com/ibm-prepares-red-hat-acquisition-wall-street-has-questions-2019-4). IBM pulls the plug on drug-discovering Watson AI (https://futurism.com/the-byte/ibm-watson-ai-drug-discovery). Fastly Going Public — Here is the S1 (http://FASTLY, INC.). How the Boeing 737 Max Disaster Looks to a Software Developer (https://spectrum.ieee.org/aerospace/aviation/how-the-boeing-737-max-disaster-looks-to-a-software-developer) Jessie Frazelle on Anthos (https://twitter.com/jessfraz/status/1117962623226531840?s=21). Check out Weird Trick Mafia podcast (https://weirdtrickmafia.fm/) too. Apple spends more than $30 million on Amazon's cloud every month, making it a top AWS customer (https://www.cnbc.com/2019/04/22/apple-spends-more-than-30-million-on-amazon-web-services-a-month.html): “The company has said in the past that it uses AWS for iCloud storage but has not disclosed whether any other Apple services use AWS or other third-party clouds.” NPM is Not Particularly Magnanimous? Staff fired after trying to unionize – complaints (https://www.theregister.co.uk/2019/04/22/npm_fired_staff_union_complaints/). Accenture sued over website redesign so bad it Hertz: Car hire biz demands $32m+ for 'defective' cyber-revamp (https://www.theregister.co.uk/2019/04/23/hertz_accenture_lawsuit/). How to Calculate Your Innovation’s Odds of Success (https://hbr.org/2019/03/the-innovation-equation). Whole lotta CI/CD goin’ on CloudBees acquires software automation startup Electric Cloud (https://venturebeat.com/2019/04/18/cloudbees-acquires-software-automation-startup-electric-cloud/), French coverage (https://www.silicon.fr/devops-cloudbees-automatisation-deploiement-applicatif-239081.html). Jay@451’s summary (https://clients.451research.com/reportaction/96949/Toc?SearchTerms=Electric%20Cloud): “Given the sprawl of tools and platforms for enterprise DevOps and CI/CD software releases, CloudBees' purchase of Electric Cloud represents a welcome consolidation in the industry. It also continues DevOps M&A that began with JFrog's acquisition of Shippable earlier this year. The deal should also have a broad impact on enterprise DevOps since CloudBees – backer of the widely used Jenkins CI server – will add release management, orchestration, automation and other aspects of CD from Electric Cloud, a leading enterprise DevOps specialist. The combined offerings should help provide feedback for enterprises throughout CI/CD release processes, enabling and enhancing feedback loops that are critical to successful DevOps implementations. The move may also help both vendors address the use of cloud-native software such as containers and Kubernetes, as well as hybrid cloud infrastructures that span on-premises, public and private cloud environments.” Electric Cloud has ~110 employees, CloudBess ~400. Harness raises $60 million to automate continuous app delivery with machine learning (https://venturebeat.com/2019/04/23/harness-raises-60-million-to-automate-continuous-app-delivery-with-machine-learning/): “brings Harness’ total raised to around $80 million and values the company at $500 million, will be put toward R&D and hiring, said CEO Jyoti Bansal — particularly on the development, sales, and customer success side of the business.” (So, not marketing, HR, or finance.) Nonsense 'Jeopardy' winner James Holzhauer is likely shaking up the game show's budget (https://www.google.com/amp/s/www.cnbc.com/amp/2019/04/22/jeopardy-winner-james-holzhauer-is-shaking-up-the-game-shows-budget.html) Sponsors This is sponsored by Solarwinds Loggly. It’s scalable cloud-based log management that won’t break the bank. Learn more or try it FREE for 14 days. Just go to http://loggly.com/sdt. Conferences, et. al. ALERT! DevOpsDays Discount - DevOpsDays MSP (https://www.devopsdays.org/events/2019-minneapolis/welcome/), August 6th to 7th, $50 off with the code SDT2019 (https://www.eventbrite.com/e/devopsdays-minneapolis-2019-tickets-51444848928?discount=SDT2019). 2019, a city near you: The 2019 SpringOne Tours are posted (http://springonetour.io/). Coté will be speaking at many of these, hopefully all the ones in EMEA. They’re free and all about programming and DevOps things. Coming up in: Paris (May 23rd & 24th), San Francisco (June 4th & 5th), Atlanta (June 13th & 14th)…and back to a lot of US cities. ChefConf 2019 (http://chefconf.chef.io/) May 20-23. Matt’s speaking! (https://chefconf.chef.io/sessions/banking-automation-modernizing-chef-across-enterprise/) ChefConf London 2019 (https://chefconflondon.eventbrite.com/) June 19-20 Jobs posted in the SDT Slack Riot Games L.A. based Systems Engineers (https://www.riotgames.com/en/work-with-us/job/1404829) and Software Engineers (https://www.riotgames.com/en/work-with-us/job/1404827) ## SDT news & hype Join us in Slack (http://www.softwaredefinedtalk.com/slack). Send your postal address to stickers@softwaredefinedtalk.com (mailto:stickers@softwaredefinedtalk.com) and we will send you a free laptop sticker! Follow us on Twitter (https://twitter.com/softwaredeftalk), Instagram (https://www.instagram.com/softwaredefinedtalk/) or LinkedIn (https://www.linkedin.com/company/software-defined-talk/) Listen to the Software Defined Interviews Podcast (https://www.softwaredefinedinterviews.com/). Check out the back catalog (http://cote.coffee/howtotech/). Brandon built the Quick Concall iPhone App (https://itunes.apple.com/us/app/quick-concall/id1399948033?mt=8) and he wants you to buy it for $0.99. Recommendations Coté: Check out Weird Trick Mafia podcast (https://weirdtrickmafia.fm/) too. Anti: worth sticking to your carrier even if there’s a code-share flight at better time. Brandon: The OA (https://www.netflix.com/title/80044950), Season 2 (https://www.netflix.com/title/80044950).

Will today's physicians soon be referred to as “human physicians” or “carbon-based docs” as opposed to the silicon-based kind? Paging Dr. Robot?

I take some time to recap my conversation with Ewing Gillaspy, further going into what he is doing at IBM with Watson AI, getting an MBA, what's more valuable an MBA or Six Sigma Black Belt and some amazing guidance that will propel your life. For more information on Ewing, find him on LinkedIn. If this podcast impacts or speaks to you please share it with those who would value it and leave a review. And as always follow @MooreYouKnowPod and @RileyRM4Tech on social media. Retweet a clip with #themooreyouknow and #newpodcast from our Twitter for a chance to win a signed copy of my upcoming book The Moore You Know coming this Fall! Tag two friends in comments on a podcast clip on Instagram for a chance to win a brand new copy of Millionaire Mindset or Maxout! Like us or share a clip on Facebook for a chance to win a book I have read that inspired me, signed by me with an inspirational message! #PropelWithPodcasting

Why does AI differ from previous technology revolutions? Has adoption of AI moved beyond the ‘innovators’ to become mainstream? What’s different about IBM’s Watson AI platform and how will it evolve? Join us as we go ‘Beyond The Hype’ with Rob High, Chief Technology Officer of IBM Watson, as he discusses the paradigm shift to AI, IBM’s vision for AI and how AI technology will surprise us in the decade ahead.

“A Martian scientist with no understanding of visual perception could understand the rainbow, or lightning, or clouds as physical phenomena,  though he would never be able to understand the human concepts of rainbow, lighting, or cloud, or the place these things occupy in our phenomenal world.” In this episode of Made You Think, Neil and Nat critically discuss the article What Is It Like to Be a Bat? by Thomas Nagel. This is the most famous piece on the mind-body problem. In it Nagel explores the mind-body issue, freedom, knowledge, meaning and value of human life. This article was penned down at an era where physicalism and materialism were prevalent, the idea that you can reduce all aspects of the mind to simply firings in the brain. However, Nagel was unpersuaded that physicalism of materialism gives an all-encompassing account of human experience. “Without consciousness the mind-body problem would be much less interesting with consciousness it seems hopeless.” We cover a wide range of topics, including The mind-body consciousness problem Creating an objective interpretations of reality. Learning skills to overcome reporters biases Consciousness in animals Artificial intelligence (AI) and hacking of consciousness And much more. Please enjoy, and be sure to grab a copy of What Is It Like to Be a Bat? by Thomas Nagel! If you enjoyed this episode, be sure to check out our book episodes on consciousness like Godel Escher Bach by Douglas Hofstadter, Sapiens by Yuval Harari, Darwin’s Dangerous Idea by Daniel Dennett, and The Beginning of Infinity by David Deutsch. Be sure to join our mailing list to find out about what books are coming up, giveaways we're running, special events, and more. Links from the Episode Mentioned in the show The Beginning of Infinity on Wikipedia [04:52] (book episode) Pod Save America Podcast [19:20] HARO Help A Reporter Out [22:14] Fox News [23:30] CNBC [23:30] Turing Test [30:53] Chinese Room [31:13] Chess [32:00] Go game [32:40] Watson AI [39:53] Joe Rogan interviews Elon Musk [47:34] The Man in the High Castle Television TV series [54:08] Hardcore History ep 62 – Supernova in the East I [54:42] Books mentioned What it is to be like a bat? By Thomas Nagel Gödel, Escher, Bach by Douglas R. Hofstadter [00:39] (Nat’s notes) (book episode) Way of Zen by Alan Watts [01:02] (Nat’s notes) (Neil’s notes) (book episode) Homo Deus by Yuval Harari [01:06] (Nat’s notes) (book episode) Darwin’s Dangerous Idea by Daniel Dennett [1:11] (book episode) The Beginning of Infinity by David Deutsch [01:16] (book episode) The Riddle of the Gun by Sam Harris [16:53] (article episode) How to Lie with Statistics by Darrell Huff [24:30] The Elephant in the Brain by Kevin Simler and Robin Hanson [36:08] (Neil’s notes) Sapiens by Yuval Noah Harari [56:40] (Nat’s notes) (book episode part 1 & part 2) Trust Me, I'm Lying by Ryan Holiday [23:01] The Man in the High Castle Novel by Philip K. Dick [54:08] Plato's Republic [20:10] People mentioned David Deutsch [05:25] (Infinity episode) Daniel Dennett [08:25] (Darwin’s episode) Bobby McMullen – Blind Bike Rider [09:44] Donald Trump [12:23] Charles Darwin [30:15] Pepper the Poochon [33:40] Sam Harris [37:19] (Guns episode) Yuval Noah Harari [37:19] Douglas Hofstadter [43:36] Nick Bostrom [43:53] Karl Marx [46:02] Elon Musk [47:34] (on this podcast) Hiroo Onoda [55:17] Show Topics 01:00 – Consciousness. The article is about the theory of mind and consciousness, looking into the mind-body problem. Aspects of the mind can be linked to how the brain responds. 01:58 – Challenge to physicalism rather than refute reductionism. Reductionism and physicalism cannot be fully understood; thus, making these two theories flawed. “Every reductionist has his favorite analogy for modern science. It is most unlikely that any of these unrelated examples of successful reduction will shed light on the relation of mind to brain”. Nagel seems not to refute reductionism but rather exposing a big whole in it and saying you can't take reductionism seriously until you fill this hole. 03:43 – Mind-body consciousness problem. Without consciousness the mind-body problem would be much less interesting with consciousness it seems hopeless. “It seems unlikely that any physical theory of mind can be contemplated until more thought has been given to the general problem of subjective and objective”. 05:27 – All problems are soluble given enough intelligence in time. 06:08 – Subjective filter for any information. Physicalism and reductionism create an objective interpretation of reality. Physicalism and reductionism in some ways rely on creating an objective interpretation of reality. All the thoughts human beings have are grounded from the subjective view of the world. 08:00 – Humans cannot understand a “what it is like aspect” because they are not in that very situation. A bat was used to demonstrate this concept. Human beings cannot comprehend how a bat moves and survives by echo-location thus this highlights human cannot understand subjective experience from human data. 09:04 – Humans can learn to echo-locate. An excellent example is Bobby McMullen, who is a blind mountain biker; he uses echolocation and his senses to mountain bike. 10:14 – However, according to Nagel, even if a human could echo-locate, that is still not equivalent to how bats echo-locate. 10:35 – Subjective interpretation of reality cannot be stepped out. This means something outside of one’s understanding cannot be fully grasped or comprehended. This concept applies to understand to someone who is totally different from you. You can never know exactly what they went through or understand what they do why they do some things; it is easy to judge someone thinking they are making irrational actions without viewing their actions from the subjective experience. 12:12 – How would look post-Trump era discussions. Urban Democrats have different interests and value systems than rural Republicans. Where to draw the line for life? Understanding pro-life people. Pro-gunners point of view. Having a gun in Texas is a must. 18:28 – Divided political sphere. Humans choose a side that will agree with their preconceived opinions. 19:58 – Decentralization makes it really hard to create a cohesive story and narrative for a population. 20:20 – Gell-Mann amnesia effect. Phenomenon where one will believe about something they know not about because it has been reported. Journalists are almost never trained to actually understand what they are reporting on, not confirming the authenticity of their sources and misunderstanding statistics. 24:00 – Learning how to read research articles is an important skill these days as we can't rely on media anymore. Famous bad reporters interpretations. Bacon is bad for you as smoking. Coconut oil is bad because saturated fats. 26:26 – Hanlon's Razor. Applying that to even news reporters, they are not doing it necessarily maliciously, they are doing it for one of two reasons- it works, people click on it and read it; the second thing is a lot of these sites are effectively content firms. This circles up to what Nagel is saying about subjective character of experience which we cannot step outside of and not understanding what it is like to be someone else. 28:20 – Test for consciousness. Mirror test for animal self awareness. 30:38 – AI discussion. What means a computer is conscious? Turing test is not enough. Reaching intelligence by brute force. Computers that don't want to play chess. 33:33 – Consciousness in animals. Every animal has a level of consciousness and awareness in the same fundamental way a human does. Dogs dreaming. 35:30 – The self is not necessarily an actual thing. Nagel is trying to keep the sense of self and the potential challenge to him is this thing you are trying to hold on to the mind, the sense of self is an illusion; there is not really anything special for what we think about this consciousness. 37:47 – Challenging reductionism. Nagel is challenging reductionism by pushing for a more helpful theory of mind that says it’s all mental- making it hard to comprehend any one’s mind. 38:43 – Subjective phenomena cannot be explained. Questions that arise with a conscious AI: can you unplug it? Can you reset it? Is it a slave? Riding horses and animals that work for humans. 40:26 – Artificial intelligence (AI) and consciousness. That will just reach a point where it is so competent that it is indistinguishable from interacting with another human. 43:05 – AI scare. An AI is sufficiently intelligent to be a threat to us all, it is sufficiently intelligent to know it shouldn't let us know it exists. AI that optimizes for paperclips can destroy the world. 43:38 – Use of the term is. E = mc2. Knowing that something is true without necessarily understanding why it is true. Consciousness and intelligence exist within its closed system. 50:10 – Knowledge is a justified true belief, based on theoretical understanding. “You can know that something is something without understanding what it means for it to be that thing.” 53:41 – Tangent. Japanese soldiers fighting after the war was over. 57:47 – Subscribe to Patreon to get our book notes, highlights, bonus material and support us without the need of ads. Sign up before october to participate to the next live hangout! Also, recommend us books (even via Instagram), and participate of our private community. Find us on Twitter @Neil Soni (@TheRealNeilS) and @Nat Eliason (@nateliason). Leave us a review on iTunes to get possible guests on the show. You can just write “Love this podcast! Neil and Nat are super fun.”. Check our supporters at madeyouthink.com/support. We are drinking delicious Lapsang Souchong tea from Cup & Leaf. If you want some tangent fuel, try the Mushroom Lemonade  Coffee and Chai Latte from Four Sigmatic. Perfect Keto Nut Butter is amazing. Try it frozen for an incredible texture. Check Kettle & Fire Mushroom-Chicken blend, now available on their site. Use our Amazon affiliate link to support the show effortlessly. If you enjoyed this episode, don’t forget to subscribe at https://madeyouthinkpodcast.com.

Why has artificial intelligence (AI) captivated the attention of everyday consumers now? Lou chats with Chris Noessel, Global Practice Design Lead for Transportation at IBM to explore how "smart" technology is shaking up many industries. His new book, “Designing Agentive Technology: AI That Works for People,” explores solutions, implications and ethics of design "smart" products for customers. Buy Chris' book: http://rfld.me/2tXjjSf Follow Chris Noessel on Twitter: https://twitter.com/chrisnoessel Follow Rosenfeld Media on Twitter: https://twitter.com/rosenfeldmedia

In episode 8, Dave and Andy find themselves pondering the ridiculousness of the world. Beer is made with poop water. Organized crime syndicates are stealing wine and cheese. NBA players think the Earth is flat, like an Oreo (ahem, Shaq). Did you hear you can find diamonds just by walking around a park in Arkansas? They did, and they may finally have snapped under the pressure of the maniacal madness of modern mankind!  Plus, Dave and Andy have plenty to say about the Power Rangers and whether they’d rather fight 100 duck-sized horses or one horse-sized duck.  All this and more await you… It's MORPHIN' Time. Quickdraws:   We’re drinking Modern Times Fortunate Islands and Orderville. Dave heard about the Spanish words for people with bad teeth.    Dude, Did You Hear?   Andy feels like the name Boaty McBoatface is grossly misused. A tragedy that cuts deeper than any undersea trench.  IBM’s Watson AI became everything we hate about youtube comments within 10 minutes of being plugged into Urban Dictionary.  Stone Brewery introduces a new beer called Full Circle. Dave wants to call it Poo Brew... from sewer to table.  Andy heard about a dude who found a diamond in the rough (no, it wasn't Aladdin). That is, if rough means walking around a park in Arkansas and finding giant diamonds lying around.  Dave exposes the network that first aired nudity ever on tv. And no, it’s not HBO. Brought to you by listeners like you.   Sword Watch 2017 returns AGAIN! This time… it’s Morphin’ Time. Mighty Morphin' Murder Rangers! Make it stop, we beg you! Apparently your phone knows who you are by the way you walk. As if there weren’t enough ways for it to know. MORE INPUT! Andy brings news of Operation Wine and Cheese, the organized crime sting operation with the most refined palette ever. The moldier, the better.    We Recommend:   Dave recommends Mystery Science Theater 3000 and Hugo on Netflix. Andy recommends The Night Manager which is currently streaming on Amazon.   We Don't Recommend:   False-starting at the ancient Olympics. Unless you like your back-meat flayed off. Also, trying to steal a car if you don’t know how to drive a stick. As stated before... jumping into crocodile-infested waters. Even after 10 cups of goon. Or for a hot girl. Shaq and a bunch of NBA players think the Earth is flat. Time to change that one-and-done rule in the NCAA! Dave answers the question of if he would rather fight 100 duck-sized horses or one horse-sized duck. Spoiler alert, Andy disagrees.

  Today we have a lengthy discussion on Artificial Intelligence. The show notes provide some more background on the topics discussed in today's episode. Please Subscribe to The Show in iTunes, Stitcher, or your Podcast App. Be sure to visit http://www.groundedreason.com/ for more tech tips and subscribe to the podcast on your favorite player using the links below. Subscribe Free on iTunes - https://itunes.apple.com/us/podcast/grounded-reason-podcast/id1140661229?mt=2 Subscribe Free on Android - http://subscribeonandroid.com/groundedreason.libsyn.com/rss Subscribe Free on Stitcher - http://www.stitcher.com/podcast/grounded-reason-podcast Subscribe Free on Google Play - https://play.google.com/music/m/Ijyw42al3inofdsxd3s44v6rxny?t%3DGrounded_Reason_Podcast   Please rate and review the show in iTunes. If you want to send us questions or comments please use any of the methods below. For more information on cutting the cord visit - https://www.groundedreason.com Call and leave a question or comment for the show: 650-TALK-GRP Grounded Reason FaceBook Page Email us at podcast@groundedreason.com Tweet us @GroundedReason Show Notes What is AI?     Term coined in 1956 at a conference at Dartmouth College John McCarthy (Co-founder of MIT AI Lab) in attendance   Types:  http://alternativemindsets.co.uk/ Artificial Narrow Intelligence (ANI) AKA Weak AI:  Specializes in one area Think of Deep Blue beating Garry Kasparov in chess in 1996 Artificial General Intelligence (AGI) AKA Strong AI: refers to a computer that is as smart as a human across the board—a machine that can perform any intellectual task that a human being can. Creating an AGI is a much harder task than creating an ANI, and despite the many different teams, companies and corporations working on it, we are yet to complete it.    Turing test:  Alan Turing in 1950, of a machine's ability to exhibit intelligent behavior equivalent to, or indistinguishable from, that of a human. Turing originally suggested that the machine would convince a human 70% of the time after five minutes of conversation), the machine is said to have passed the test. Artificial Superintelligence (ASI): Oxford philosopher and a current leading AI thinker Nick Bostrom defines superintelligence as “an intellect that is much smarter than the best human brains in practically every field, including scientific creativity, general wisdom and social skills.”  The “singularity” or “technological singularity.” This term has been used in math to describe an asymptote-like situation where normal rules no longer apply.  In 1993, Vernor Vinge wrote a famous essay in which he applied the term to the moment in the future when our technology’s intelligence exceeds our own—a moment for him when life as we know it will be forever changed and normal rules will no longer apply.  Ray Kurzweil The Singularity is Near as the time when the Law of Accelerating Returns has reached such an extreme pace that technological progress is happening at a seemingly-infinite pace, and after which we’ll be living in a whole new world.   What is happening in AI right now Last month, the White House announced a series of actions as part of a new White House Future of Artificial Intelligence initiative, designed to learn more about the benefits and risks of AI.  https://www.whitehouse.gov/blog/2016/06/27/how-prepare-future-artificial-intelligence White House Office of Science and Technology Policy (OSTP) has co-hosted two public workshops on opposite ends of the country—the first in Seattle at the University of Washington, focused on the legal and governance implications of AI, and the second here recently in Washington, DC, where we heard about AI for public good. This month and next, we will be in Pittsburgh on June 28 to discuss safety and control for AI, and New York City on July 7 to explore AI’s social and economic implications. You can join these events in person (subject to venue constraints) by registering via the event websites, or you can follow the discussion via livestream and social media, where we will be using the hashtag #FutureofAI.   global economy are being profoundly re-shaped by software technology. Human jobs are being eaten by software, specifically Artificial Intelligence (AI) algorithms able to ingest and analyze massive volumes of data to inform and remotely control better process management decisions, more efficient outcomes. The Bank of England estimates that 48% of human workers will eventually be replaced by robotics and software automation,  Examples: uses drones to replace costly work teams driving around in trucks to monitor perimeter security or operations at large worksites like office campuses, mine sites, wind and solar power farms.  this company flies drones autonomously with computer vision — algorithms that gather and analyze such detailed data on the specific site environments that the drones will be able to fly themselves around obstacles.  Visual Deep Learning technology will save lives, by precisely identifying suspected terrorists and hidden ordinance in remotely-recorded video feed  Another of our A-AIaaS companies gathers, analyzes and reports air quality conditions local to the user’s hand-held device, navigating people toward a healthier life. can tell merchandizers what brands of clothing teenage concert-goers are wearing at Coachella; what is it that viewers don’t like about TV ads that causes them to change the channel.  http://fortune.com/2016/06/15/bank-of-america-job-cuts/ But AI still has many limitations, with AI scientists still not able to "solve the problem of common sense, of endowing a computer with the knowledge that every 5-year-old has," said Paul Cohen, program manager in the Information Innovation Office at the U.S. Defense Advanced Research Projects Agency (DARPA) and founding director of the University of Arizona School of Information's science, technology and arts program. There is, however, a class of problems where AI will do "magnificent things," by pulling information out of huge data sets to make increasingly specific distinctions, he added. IBM's recent decision to focus its Watson AI computer on medical diagnostics is a potential "game changer," he said.  "Medical diagnosis is about making finer and finer distinctions," he said. "Online marketing is about making finer and finer distinctions. If you think about it, much of the technology humans interact with is about putting you in a particular bucket." http://www.computerworld.com/article/2692377/enterprise-software/the-future-of-artificial-intelligence-will-computers-take-your-job.html DARPA now has a project that focuses on using software to assemble code, by pulling from code that someone has already written, Cohen said. Many programmers today focus more on assembling code from resources such as StackOverflow.com, instead of re-creating code that already exists, he said, and DARPA has automated that process. http://www.pcworld.com/article/2986396/this-is-how-the-future-looks-with-ibm-watson-and-perfect-data.html Industry   AI in Pop culture In the 1921 play R.U.R. by Karel Čapek, a race of self-replicating robot slaves revolt against their human masters. In the film Master of the World the War-Robot kills its own inventor. Skynet in the Terminator series decides that all humans are a threat to its existence. "The Second Renaissance", a short story in The Animatrix, provides a history of the cybernetic revolt within the Matrix series. In the Mega Man X series of video games, robots conclude that humans are inferior and decide to go Maverick. In the Halo universe,  In System Shock In the 2007 video game Mass Effect, the Reapers, also known as the "Old Machines," are a highly advanced race of synthetic organisms that harvest all sentient life in the galaxy by their own agenda.  The film 9, by Shane Acker, features an AI called B.R.A.I.N., which In Marvel Comics' universe, an AI named Ultron  Gort from The Day the Earth Stood Still, a movie of 1951, belonged to a robot police force that was given ultimate and irreversible authority to destroy any aggressors, thus making interplanetary war unthinkable. However, in all other matters, each planet is free to govern itself. Though still under human authority, Isaac Asimov's Zeroth Law of the Three Laws of Robotics implied a benevolent guidance by robots.     Please Subscribe to The Show in iTunes, Stitcher, or your Podcast App. Please rate and review the show in iTunes. If you want to send us questions or comments please use any of the methods below. 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(Bloomberg) -- Taking Stock with Kathleen Hays and Pimm Fox. GUEST: Elizabeth O'Brien, Program manager, Worldwide Sponsorship Strategy and Marketing, at IBM, on the interactive technologies that IBM created for fans to utilize at the US Open.

In today's podcast we discuss a warning from US-CERT and Onapsis against some old but active SAP vulnerabilities. Pawn Storm is back, and active against German political targets. DDoS-for-hire is proving lucrative, as is ransomware. Joe Carrigan from Johns Hopkins University Information Security Institute explains what you should do when you get suspicious-looking email. IBM speaks with us about their cyber security plans for their Watson AI.

Every big technological shift (per Carlota Perez) brings with a structural shift too — an “institutional adjustment” in how companies innovated and build new products, according to Steve Blank and Evangelos Simoudis. Large organizations used to (and continue to) set up remote R&D labs in places like Silicon Valley. But now, those companies are also investing more energy and resources in setting up corporate venturing arms and/or “innovation outposts” in such startup ecosystems — especially as they believe that startup-driven innovation is one of the best ways to keep up with and address disruption in their industries. But… it's not enough to simply establish a presence in these places; how do you also “sense” and respond to the right opportunities? Are they in the right places? Does beginning with corporate venturing really work for such outposts? And finally, how can these orgs avoid just acting out “innovation theater”? Simoudis — who has also written about whether “the elephant can dance again” using the case of IBM and Watson/ AI — offers his views on how big companies can and should use the Valley (and other innovation clusters) in this episode of the a16z Podcast.