Podcasts about applying ai

In episode 55, Tamara Kocharova delves into the evolving intersection of AI and L&D with Josh Cavalier, generative AI pioneer and author of the upcoming book Applying AI in Learning and Development.From CD-ROM training in the ‘90s to today's AI-powered learning ecosystems, Josh shares his remarkable journey and the pivotal moments that shaped his views on human-machine collaboration. Learn how L&D professionals can move from prompt to automation, build AI fluency across organizations, and embrace AI as a strategic thought partner—not just a tool.But the conversation goes beyond tech. Josh opens up about balancing innovation with empathy, the emotional impact of change, and why mentoring and human connection are more vital than ever in the age of automation.Explore his signature Human-AI Task Scale and get a sneak peek into the frameworks that could define L&D's next chapter. How do we build learning that's both high-tech and deeply human? Let's find out—together.Tune in now!Follow Tamara Kocharova, the podcast host and CEO at Lanes AI, on LinkedIn: linkedin.com/in/tkocharova Book a meeting to learn more about Lanes AI: lanes.ai/demo?utm_campaign=podcast-55-episode Listen all Episodes of LPTP podcast: podcasts.apple.com/us/podcast/lptl-love-people-technology-learning/id1736176315 Follow Tamara Kocharova, the podcast host and CEO at Lanes AI on LinkedIn to stay tuned for future episodes: linkedin.com/in/tkocharovaBook a meeting to learn more about Lanes AI: lanes.ai/demo

In part two of our conversation, Hitachi's CMO shares how even small teams can lead in the age of AI. Whether you're building executive events, redefining customer engagement, or grappling with your data strategy, this episode delivers clear frameworks, sharp insight, and hard-earned perspective.Arya Barirani returns to break down how to scale enterprise-level lessons into practical action. From the structure of an AI advisory board to the real-world implications of physical infrastructure, he unpacks what it takes to prepare your team—and your tech—for what's next.

Welcome to RIMScast. Your host is Justin Smulison, Business Content Manager at RIMS, the Risk and Insurance Management Society.   Justin interviews Chris Maguire about his professional journey and what led him to focus on the intersection of legal, compliance, and innovation. This leads to a discussion about AI and predictive analytics. Chris shares examples of General Counsel and compliance offices using AI to improve risk forecasting and decision-making. Chris comments on the expanding role of Compliance in the General Counsel's office.   Listen to Chris's take on the importance of values. He shares some of the core values of Thomson Reuters.   Key Takeaways: [:01] About RIMS and RIMScast. [:17] About this episode of RIMScast. We will talk about how technology is driving innovation in compliance, risk, and the legal profession, with Chris Maguire of Thomson Reuters. [:41] RIMS-CRMP Workshops! The next RIMS-CRMP-FED Exam Prep will be presented in conjunction with AFERM and led by instructor Joseph Mayo. This is a two-day course, June 2nd and 3rd. Register by May 26th. [1:02] The next RIMS-CRMP Exam Prep Workshop will be presented in conjunction with NAIT on June 10th and 11th. Register by June 9th. That course will be led by former RIMS President, Nowell Seaman. [1:20] Links to these courses can be found on the Certification Page of RIMS.org and through this episode's show notes. [1:27] Virtual Workshops! On June 12th, Pat Saporito will host “Managing Data for ERM”, and she will return on June 26th to present the very popular new course, “Generative AI for Risk Management”. [1:45] A link to the full schedule of virtual workshops can be found on the RIMS.org/education and RIMS.org/education/online-learning pages. A link is also in this episode's show notes. [1:56] We are already making preparations for the RIMS ERM Conference 2025 on November 17th and 18th in Seattle, Washington. RIMS is accepting educational session submissions through May 20th. [2:14] The best submissions will address current and future challenges facing ERM practitioners as well as provide leading practices and concrete takeaways for a diverse audience of risk professionals from industries or organizations of varied sizes, disciplines, functions, and roles. [2:30] These include officers, leaders, managers, and students. The link to the submission form is in this episode's show notes. If you are listening on the day of this episode's release, this is the last call for submissions, so get them in! [2:46] Let's get on with the show! How is your organization navigating regulatory uncertainty in 2025? Are you leveraging advancements in technology to help achieve your goals? Our guest this week is Chris Maguire, the General Manager for Corporates Risk at Thomson Reuters. [3:06] We are going to talk about how technology is driving innovation in compliance, risk, and legal. We will talk about how AI and predictive analytics are reshaping corporate legal and compliance functions, and more. Let's get to it! [3:22] Interview! Chris Maguire, welcome to RIMScast! [3:29] Chris Maguire started in a Big Four firm in the '90s, in the auto practice. It was a great way to learn business and how they worked, focusing on understanding financial controls and risk, and how to make sure that companies were behaving correctly. [3:59] After an MBA, Chris started working for Thomson Reuters. He has been with them for about 20 years in the legal tech space. He started on the strategy side and transitioned after several years to driving the commercial teams in the risk business. [4:24] Now, Chris has the role of looking at product and industry strategy for corporations. Thomson Reuters is at the intersection of legal, risk, and compliance, and how they affect enterprises. [5:07] Chris says that 20 years ago, AI was not a fast-moving industry. There have been dramatic changes in the last few years. AI adoption by Thomson Reuters customers has doubled in the last year. Generative AI has been seen in a wide range of tasks. It started with drafting NDAs. [5:38] Salespeople are always asking for NDAs and how they can be drafted more quickly and easily. Now AI conducts legal research or helps draft a research memo or a complaint from a particular point of view. We're seeing it in drafting HR employment policies and rote tasks. [6:21] Chris explains the use of AI prompts tied to data sources, such as your data, data from Thomson Reuters, or other data providers. Chris is also seeing big data AI used a lot in analyzing outside spending and looking for cost savings. [7:14] Chris tells how AI helps in decision-making, using the example of knowing the vendors you choose for your supply chain and knowing your customers. AI can weed through all the news out there to make sure you're not dealing with a sanctioned entity. [8:22] AI can help with reputation risk. Is there forced labor in your supply chain? That matters to your reputation. It's not just whether a country is sanctioned, but what the individual entities in your supply chain are doing. There's a lot of focus on reputation today. [9:10] Justin recently had the Chief Impact Officer of EcoVadis on RIMScast Episode 329. They talked about forced labor and human trafficking in the supply chain. Use AI to help identify where forced labor and human trafficking are big risks, avoid them, and report them. [9:35] This is important on the corporate side and the government side of the business. Chris says it will be interesting to see the effect of tariffs. Thomson Reuters has updated about 50 million changes to its global trade products so far this year, compared to 100 million in 2024. [10:16] Plug Time! RIMS Webinars! We are back on May 22nd, with GRC, a TÜV SÜD Company, and their newest session, “Asset Valuations in 2025: Managing Tariffs, Inflation, and Rising Insurance Scrutiny”. [10:33] On June 5th, Zywave joins us to discuss “Today's Escalating Risk Trajectory: What's the Cause and What's the Solution?”. [10:413] On June 17th, Origami Risk returns to present “Strategic Risk Financing in an Unstable Economy: Leveraging Technology for Efficiency and Cost Reduction”. [10:54] More webinars will be announced soon and added to the RIMS.org/Webinars page. Go there to register. Registration is complimentary for RIMS members. [11:05] Spencer Educational Foundation's Grants program is starting soon. Spencer's goal to help build a talent pipeline of risk management and insurance professionals is achieved, in part, by its collaboration with risk management and insurance educators across the U.S. and Canada. [11:23] Since 2010, Spencer has awarded over $3.3 million in General Grants to support over 130 student-centered experiential learning initiatives at universities and RMI non-profits. Spencer's 2026 application process is now open through July 30th, 2025. [11:43] General Grant awardees are typically notified at the end of October. Learn more about Spencer's General Grants through the Programs tab of SpencerEd.org. [11:54] Back to the Conclusion of my Interview with Chris Maguire of Thomson Reuters!  [12:27] Chris refers to RIMScast Episode 335 with Jeff from Academy Sports. Jeff talked about how the Compliance function now sits in the General Counsel's office. At Thomson Reuters, more of the Compliance group has moved into the General Counsel's office in the last year. [12:48] The General Counsels are being charged with understanding the full weight of risk across an organization, from reputational risk to who you should or should not do business with. [13:16] The Sales organization at Thomson Reuters has discussed that a lot with the GC office, from a reputation, sanctions, and everything perspective. A lot of GC offices now include the Compliance role. [13:50] Chris's ERM philosophy is Trust. Companies need to trust who they are doing business with. Companies need to trust that their employees have what they need to make decisions not to deal with a risky customer, but to follow the laws and rules of global companies. It's trust. [14:29] There is so much change going on. Chris talks about values that resonate. One Thomson Reuters value is Act Fast, Learn Fast. You have to move and learn. Companies can help you, but it is on individuals to take the responsibility to act fast and learn fast about what is changing. [14:59] Thomson Reuters is bound by the Trust Principles. It started with Reuters in the 1940s around WWII, but it goes back to its 150 years of legal content. [15:17] The information Thomson Reuters provides its customers has to be free from bias. It has to be right. It has to be updated. It can't be an opinion about a philosophy. It has to be fact-based. It has to provide customers with the information they need to get work done. [15:36] Applying AI on top of trusted, unbiased, correct, up-to-date information is going to be vital, moving forward. Act fast, learn fast, and trust. [15:57] Chris believes the legal industry hasn't always been the fastest-moving industry. The technology is now there to allow us to move more quickly and learn more quickly. That's an exciting thing! [16:23] Chris says AI is no longer a future concept. It's here. It's transforming our lives; it's starting to transform our business environment. If you don't adapt quickly, you're going to be at a significant disadvantage. [16:36] For people in General Counsel's offices, people in compliance functions, the value is your expertise, your knowledge, and you as a human, and what you can bring to the situation. [16:48] If AI can help you get there, and give you a platform on which to add your judgment and expertise, knowledge, and professional opinion, that's a hugely valuable thing. [17:01] Thomson Reuters doesn't see AI taking away jobs. We see people who use AI, potentially taking away the jobs of people who don't use AI. It all comes back to the humans and how they use it. There's never been a time when Thomson Reuter's expertise has been more important. [17:34] Chris, it has been such a pleasure to have you here on RIMScast! I do appreciate that you listened to some previous episodes! Get my unique download count up there! [I7:50] I appreciate that we're reaching a very important segment of our audience and our RIMS membership. I think they're going to learn a lot in this episode. Thank you! [18:02] Special thanks to Chris Maguire for joining us here on RIMScast. Links to RIMS coverage about AI, legal, and compliance risks are in this episode's show notes.  [18:13] Plug Time! You can sponsor a RIMScast episode for this, our weekly show, or a dedicated episode. Links to sponsored episodes are in the show notes. [18:41] RIMScast has a global audience of risk and insurance professionals, legal professionals, students, business leaders, C-Suite executives, and more. Let's collaborate and help you reach them! Contact pd@rims.org for more information. [19:00] Become a RIMS member and get access to the tools, thought leadership, and network you need to succeed. Visit RIMS.org/membership or email membershipdept@RIMS.org for more information. [19:18 ] Risk Knowledge is the RIMS searchable content library that provides relevant information for today's risk professionals. Materials include RIMS executive reports, survey findings, contributed articles, industry research, benchmarking data, and more. [19:34] For the best reporting on the profession of risk management, read Risk Management Magazine at RMMagazine.com. It is written and published by the best minds in risk management. [19:48] Justin Smulison is the Business Content Manager at RIMS. You can email Justin at Content@RIMS.org. [19:55] Thank you all for your continued support and engagement on social media channels! We appreciate all your kind words. Listen every week! Stay safe!   Links: RIMS Texas Regional 2025 — August 3‒5 | Advance registration rates now open. ERM Conference 2025 — Call for Submissions (Through May 20) RIMS-Certified Risk Management Professional (RIMS-CRMP) RISK PAC | RIMS Advocacy RIMS Risk Management magazine “Balancing Innovation and Compliance When Implementing AI” — Risk Management magazine, April 2025 RIMS Now The Strategic and Enterprise Risk Center Spencer Educational Foundation — General Grants 2026 — Application Deadline July 30, 2025 2025 Coast-To-Coast Risk Management Challenge — Applications Open Through May 23 RIMS Webinars: RIMS.org/Webinars “Asset Valuations in 2025: Managing Tariffs, Inflation, and Rising Insurance Scrutiny” | Sponsored by GRC, a TÜV SÜD Company | May 22, 2025 “Today's Escalating Risk Trajectory: What's the Cause & What's the Solution?” | Sponsored by Zywave | June 5, 2025 “Strategic Risk Financing in an Unstable Economy: Leveraging Technology for Efficiency and Cost Reduction” | Sponsored by Origami Risk | June 17, 2025   Upcoming RIMS-CRMP Prep Virtual Workshops: RIMS-CRMP-FED Exam Prep with AFERM — June 2‒3, 2025 | Presented by RIMS and AFERM RIMS-CRMP Exam Prep Virtual Workshop — June 10‒11, 2025 | Presented by RIMS and NAIT Full RIMS-CRMP Prep Course Schedule “Managing Data for ERM” | June 12 | Instructor: Pat Saporito “Generative AI for Risk Management” | June 26 | Instructor: Pat Saporito See the full calendar of RIMS Virtual Workshops RIMS-CRMP Prep Workshops   Related RIMScast Episodes: “(Re)Humanizing Leadership in Risk Management with Holly Ransom” “AI and Regulatory Risk Trends with Caroline Shleifer”   Sponsored RIMScast Episodes: “The New Reality of Risk Engineering: From Code Compliance to Resilience” | Sponsored by AXA XL (New!) “Change Management: AI's Role in Loss Control and Property Insurance” | Sponsored by Global Risk Consultants, a TÜV SÜD Company “Demystifying Multinational Fronting Insurance Programs” | Sponsored by Zurich “Understanding Third-Party Litigation Funding” | Sponsored by Zurich “What Risk Managers Can Learn From School Shootings” | Sponsored by Merrill Herzog “Simplifying the Challenges of OSHA Recordkeeping” | Sponsored by Medcor “Risk Management in a Changing World: A Deep Dive into AXA's 2024 Future Risks Report” | Sponsored by AXA XL “How Insurance Builds Resilience Against An Active Assailant Attack” | Sponsored by Merrill Herzog “Third-Party and Cyber Risk Management Tips” | Sponsored by Alliant “RMIS Innovation with Archer” | Sponsored by Archer “Navigating Commercial Property Risks with Captives” | Sponsored by Zurich “Breaking Down Silos: AXA XL's New Approach to Casualty Insurance” | Sponsored by AXA XL “Weathering Today's Property Claims Management Challenges” | Sponsored by AXA XL “Storm Prep 2024: The Growing Impact of Convective Storms and Hail” | Sponsored by Global Risk Consultants, a TÜV SÜD Company “Partnering Against Cyberrisk” | Sponsored by AXA XL “Harnessing the Power of Data and Analytics for Effective Risk Management” | Sponsored by Marsh “Accident Prevention — The Winning Formula For Construction and Insurance” | Sponsored by Otoos “Platinum Protection: Underwriting and Risk Engineering's Role in Protecting Commercial Properties” | Sponsored by AXA XL “Elevating RMIS — The Archer Way” | Sponsored by Archer   RIMS Publications, Content, and Links: RIMS Membership — Whether you are a new member or need to transition, be a part of the global risk management community! RIMS Virtual Workshops On-Demand Webinars RIMS-Certified Risk Management Professional (RIMS-CRMP) RISK PAC | RIMS Advocacy RIMS Strategic & Enterprise Risk Center RIMS-CRMP Stories — Featuring RIMS President Kristen Peed!   RIMS Events, Education, and Services: RIMS Risk Maturity Model®   Sponsor RIMScast: Contact sales@rims.org or pd@rims.org for more information.   Want to Learn More? Keep up with the podcast on RIMS.org, and listen on Spotify and Apple Podcasts.   Have a question or suggestion? Email: Content@rims.org.   Join the Conversation! Follow @RIMSorg on Facebook, Twitter, and LinkedIn.   About our guest: Chris Maguire, General Manager, Corporates Risk at Thomson Reuters   Production and engineering provided by Podfly.  

Is generative AI rewriting the rules for how startups scale, hire and grow? In this episode, Brian Rothenberg, Partner at Defy.vc, explores how the resurgence of the Bay Area, the rise of generative AI and the future of marketplaces are reshaping the startup landscape. We revisit Brian's 2017 talk on scaling marketplaces and analyze which lessons still hold true. Specifically, Brian discusses:(02:54) Why defy backs early-stage founders with a strong operator mindset.(03:59) How the Bay Area has re-emerged as the epicenter of AI-driven innovation.(09:15) Applying AI to the most constrained side of a marketplace can unlock major growth.(12:37) Training-wheel tools can help onboard more users to AI in a business-friendly way.(15:46) Generative AI can likely handle 80–90% of tasks that once needed large teams.(20:11) AI performance may shift ratings to simple yes-or-no outcomes.(25:40) Verified identities could help filter fake content as trust declines.(31:55) AI may shift roles but will likely create new kinds of jobs.(35:00) Data privacy concerns are fueling cautious AI adoption and enterprise solutions.(40:42) Outcome-based pricing is overtaking traditional per-seat SaaS models.Resources Mentioned:Brian Rothenberghttps://www.linkedin.com/in/brianrothenberg/Defy.vc | LinkedInhttps://www.linkedin.com/company/defy-vc/defy.vc | Websitehttps://defy.vc/This episode is brought to you by:Leverage community-led growth to skyrocket your business. “From Grassroots to Greatness” by author Lloyed Lobo will help you master 13 game-changing rules from some of the most iconic brands in the world — like Apple, Atlassian, CrossFit, Harley-Davidson, HubSpot, Red Bull and many more — to attract superfans of your own that will propel you to new heights. Grab your copy today at FromGrassrootsToGreatness.com.Each year the US and Canadian governments provide more than $20 billion in R&D tax credits and innovation incentives to fund businesses. But the application process is cumbersome, prone to costly audits and receiving the money can take as long as 16 months. Boast automates this process, enabling companies to get more money faster without the paperwork and audit risk. We don't get paid until you do! Find out if you qualify today at https://Boast.AI.Launch Academy is one of the top global tech hubs for international entrepreneurs and a designated organization for Canada's Startup Visa. Since 2012, Launch has worked with more than 6,000 entrepreneurs from over 100 countries, of which 300 have grown their startups to seed and Series A stage and raised over $2 billion in funding. To learn more about Launch's programs or the Canadian Startup Visa, visit https://LaunchAcademy.ca.Content Allies helps B2B companies build revenue-generating podcasts. We recommend them to any B2B company that is looking to launch or streamline its podcast production. Learn more at https://contentallies.com.#StartupGrowth #VentureCapital #Entrepreneurship #OutcomeBasedPricing #Product #Marketing #Innovation #StartUp #GenerativeAI #AI

On today's episode, I'm joined by Michael Israel, Chief Information Officer at The Kraft Group, where he oversees a complex digital ecosystem spanning everything from the New England Patriots and Gillette Stadium, to global manufacturing plants and commodities firms.Since joining in 2019, Michael has led a sweeping transformation: from deploying WiFi 6 and 5G across Gillette Stadium, to installing IPTV screens and menu boards that unlocked new sponsorship revenue. He's introduced AI-driven safety systems, automated raw material detection in manufacturing, and is now overseeing a 5-year strategic tech partnership with NWN designed to re-architect their digital backbone, all ahead of hosting seven FIFA World Cup games in 2026.In this conversation, we dig into how he's planning for the AI era, what it takes to futureproof a stadium like Gillette, and why the guest experience - from concession speed to TikTok-ready connectivity - is becoming a performance metric in its own right.Time Stamps2:00 - Introduction to Michael and The Kraft Group3:30 - Applying Lessons from Outside Sports8:00 - Capturing User Data13:00 - Switching IT Provider and Implementing Innovation 17:00 - Applying AI Across the Organisation 25:00 - Learning from FIFA to Taylor Swift 27:00 - Looking to the Future Additional LinksConnect with Michael on LinkedIn - HereConnect with Andy on LinkedIn - Here

Episode Topic: Fatemeh Nikayin, Co-founder and CEO of Rivero AG, joins PayPod to reveal how AI-powered solutions are transforming how banks manage payment disputes. She shares how building trust, minimizing customer distress, and enabling lightweight innovation are critical for modern fintech success. Lessons You'll Learn: How protecting customer data unlocks bank adoption, why customer dispute experiences can determine brand loyalty, and why AI needs to be applied differently in regulated industries like finance. About Our Guest: Fatemeh Nikayin is the Co-founder and CEO of Rivero AG, a fintech company helping banks modernize the payment dispute process using AI and rule-based automation. Fatemeh has deep experience working within financial services and studied Internet of Things platforms at the PhD level, giving her a unique perspective on platform adoption, customer experience, and privacy-centric innovation. Topics Covered: Why SaaS for banks must prioritize data sovereignty   The growing strategic importance of payment operations   How customer disputes can become trust-building opportunities   Applying AI carefully: rule-based vs. LLMs in fintech   Challenges of modernizing banks with legacy systems   How payment dispute handling differs across regions

The seismic changes made by the current administration in the United States continue to impact the scientific community. The business news segment of this week's episode covers the effects of job cuts on biotech, Roche's manufacturing and R&D plans amid tariff threats, and shares an update on Eli Lilly's diabetes pill. Also, in honor of DNA Day, we reminisce about how far the field has come since the discovery of the structure of DNA and the completion of the Human Genome Project. We also talk about today's DNA-related advances that use machine learning to design tailored Cas9 proteins and multiple sequencing technologies to study mutation rates in four generations of the same family. Join GEN editors Corinna Singleman, PhD, Alex Philippidis, Fay Lin, PhD, and Uduak Thomas for a discussion of the latest biotech and biopharma news. Listed below are links to the GEN stories referenced in this episode of Touching Base:After Job Cuts, “We're Entering a Very New Territory for Biotech. By Alex Philippidis, GEN Edge, April 17, 2025 Roche Commits $50B to U.S. Manufacturing, R&D as Tariffs Loom By Alex Philippidis, GEN Edge, April 22, 2025 StockWatch: Investors Hungry for Lilly after Diabetes Pill Aces Phase III Trial By Alex Philippidis, GEN Edge, April 20, 2025 Machine Learning Engineers Bespoke Cas9 Enzymes for Gene EditingBy Fay Lin, PhD, GEN, April 22, 2025Multi-Platform Sequencing Study of Four Generations Sheds Light on Mutation RatesGEN, April 23, 2025 Hosted on Acast. See acast.com/privacy for more information.

In the ever-evolving landscape of technology and innovation, the journey of entrepreneurship is often fraught with challenges, discoveries, and milestones. Dermot Casey, a seasoned entrepreneur and innovation advocate, provides an insightful narrative about his experiences and the transformative role of technology in today's world.Topics include:0:00 His journey from From rural Ireland to AI pioneer2:23 Building Storyful from startup to acquisition in four years7:23 His experience with NDRC supporting early-stage tech companies10:22 Know when to quit and how persistence can sometimes cause harm12:38 Success is about relationships and everyone is figuring it out14:35 How Ireland excels in innovation but needs greater investment and vision21:24 Why Ireland should encourage entrepreneurship through education, collaboration and investment25:04 Workshops teach AI for productivity, creativity and data analysis28:49 Using AI to analyze proprietary data improves decision-making and innovation32:27 Applying AI to analyze reviews, solve problems, and enhance productivity34:12 Advice to solve a significant problem, keep it simple and use authentic marketing

➡ Build, run, and monitor workflows with Tines at: tines.com In this episode, I speak with Matt Muller, Field CSCO at Tines, about how automation and AI are transforming security operations at scale. We talk about: • Tines' Mission to Eliminate Manual Security Work Through Automation How Tines helps security teams streamline incident response and workflow automation without needing to write code, saving time and reducing burnout. • Applying AI to Security Operations and Analyst Workflows How AI is used in phishing analysis, threat intel reporting, and data transformation—integrated safely into workflows using tools like Workbench with private LLMs. • Tines Workbench and the Future of Agentic AI How Workbench combines chat with deterministic automation to help analysts take action securely, and how Tines is exploring agentic AI to take automation even further. Chapters: 00:00 - How Tines Automates Security to Solve SOC Burnout07:19 - The AI Arms Race: How Attackers and Defenders Are Evolving09:08 - Why Security Still Comes Down to Workflow, Logging, and Action13:41 - How CISOs Are Balancing AI Adoption and Enterprise Risk17:36 - Using AI in Tines to Transform and Automate Security Workflows20:40 - How AI Detects Business Email Compromise Better Than Rules25:26 - From Security to Data Pipelines: Tines as Workflow Orchestration28:59 - Inside Workbench: Secure AI-Powered Chat for Analysts36:00 - Automating Phishing Investigations with Trusted Tool Integrations39:19 - Where to Learn More and Try Tines for FreeBecome a Member: https://danielmiessler.com/upgradeSee omnystudio.com/listener for privacy information.

RSVP to the 13th CTO Colloquium on 4/17/25In this episode, Steven Zgaljic, CTO of Jahnel Group, joins host Etienne de Bruin to share a personal story about his daughter's health challenges. Faced with the need to meticulously track symptoms and daily activities, Steven leveraged his technical expertise to create a custom AI-powered solution using tools like N8N and Superbase. The conversation highlights how AI can transform complex problems into actionable insights, even in personal contexts.Steven discusses the challenges of using traditional methods like pen and paper for symptom tracking, leading him to build an automated workflow integrated with Slack. By applying AI for data validation and pattern recognition, he gains real-time insights into potential triggers and patterns in his daughter's symptoms. Beyond his personal use case, Steven reflects on the broader applications of AI in problem-solving and the necessity of human oversight in AI-driven systems.This conversation explores the intersection of personal challenges, technological innovation, and the potential of AI to improve lives.Timestamps00:00 Introduction and Overview 01:00 Steven Zgaljic's Background and Family Story 03:00 Challenges with Tracking Medical Symptoms for His Daughter 05:00 Using Slack for Family Communication 07:00 Applying AI to Track and Analyze Symptoms 09:00 Exploring N8N, Superbase, and AI for Automation 11:00 Creating Validation Models for AI Accuracy 13:00 Building a Custom AI System for Health Tracking 15:00 AI Insights and Pattern Recognition in Health Data 17:00 Future Plans for AI Health Analysis 18:00 Reflections on AI in Problem SolvingWe have 200+ CTOs in peer groups: Quick Testimonials VideoContact Etienne: Website / YouTube / LinkedIn / X / Instagram / The CTO Podcast WebsiteContact Steven: Website /LinkedInGreat news! The CTO Podcast has been featured on Feedspot's list of Top CTO Podcasts. Huge thanks to our amazing guests and listeners for being part of these conversations. Check out the full list here: Feedspot's Top CTO Podcasts. Get full access to The CTO Podcast at www.ctopod.com/subscribe

Jim talks with Timothy Clancy about wicked mess problems & the potential for a new Cold War centered on AI. They discuss the evolution from chat-based to reasoning AI, military applications, social & systemic complexity in national security, the scaling hypothesis, China vs US competition, DeepSeek R1 model implications, export controls on GPU chips, Taiwan's strategic importance, multipolar trap & arms race dynamics, power & chip requirements, training vs implementation costs, context scaling in reasoning AI, innovation in AI efficiency, models & simulations in military planning, validation challenges, statistical distributions vs single predictions, Taiwan conflict scenarios & deterrence strategies, operational causality, the strategic importance of the Straits of Malacca, and much more. Episode Transcript "Applying AI to Strategic Warning," by Anna Knack, Nandita Balakrishnan, and Timothy Clancy JRS EP57 - Timothy Clancy on Russia's Mid-Game JRS EP248 - Timothy Clancy on the Israel-Hamas War "MegaMullet: The DeepSeek Moment – The Start of an AI Cold War," by Timothy Clancy Timothy Clancy is an Assistant Research Scientist at START specializing in studying wicked mess problems, including violence and instability, as complex systems. For over 30 years Timothy has helped stakeholders in all manner of organizations understand their wicked mess problems and work towards resolving them. This included prior work at IBM where he was the Chief Methodologist of Lean, Six Sigma, and Agile supporting Fortune 50, government, and military clients to navigate their own wicked messes in strategy, business models, and enterprise transformation.

What if AI could guide every patient through their healthcare journey—nudging them toward better choices, anticipating their needs, and adapting in real time? We talk a lot about engagement in healthcare, but too often, the digital tools we use fail to improve outcomes. AI and data-driven personalization hold incredible promise, yet many health plans and providers still struggle with low participation rates. Dr. Erich Huang, Associate Chief Clinical Officer for Informatics and Technology at Verily, an Alphabet company leading the charge in precision health, joins Eric to discuss what's next for AI in healthcare. The conversation touches on how AI is redefining patient engagement, the delicate balance between automation and human touch, and how platforms like Verily's Lightpath are pioneering a new model for chronic care management. If you're a health plan or hospital leader looking to unlock the next generation of patient engagement, you won't want to miss this conversation.  About Erich Erich leads a team focused on structuring clinical-grade data that integrates with the clinical research and healthcare data ecosystems and is optimized for precision medicine, analysis, and artificial intelligence.    Erich was previously at Duke University where he served as the Chief Data Officer for Quality at Duke Health, Director of Duke Forge, Director of Duke Crucible, and Assistant Dean for Biomedical Informatics for Duke University School of Medicine. There, he led and deployed machine learning capabilities for complex care management in Duke Health's Accountable Care Organization, led health data science initiatives, and helped develop Duke Health's new institutional governance process for algorithmic decision support.    He earned his MD and PhD from Duke University, trained and was a Chief Resident in the Duke General Surgery Residency Program. Erich is previously a Burroughs Wellcome Fund Innovations in Regulatory Science Award recipient, received a Sidney Kimmel Cancer Research Foundation Translational Scholar Award, and is twice a recipient of an IBM Faculty Award.   About Verily Verily is an Alphabet health technology company focused on research, care, and health financing to deliver on the promise of precision health and help people live healthier lives. We are uniquely positioned at the intersection of technology, data science, and healthcare to create tools to accelerate evidence generation, products to enable more personalized care, and approaches to make costs more predictable.  

Artificial Intelligence (or AI) is rapidly transforming the way we work, communicate, and make decisions—but for many, it still feels like an overwhelming or complex concept. In this episode, we're breaking down the basics of AI for the novice, making it simple and approachable so you can understand the engine behind it, how it works and why it matters. Whether you're a business owner, a creative, or just curious about the technology shaping our world, knowing these fundamentals will help you adapt, stay relevant, and make informed choices in an AI-driven future. Even though AI is not merely an illusion, I'll pull back the curtain on how AI works and some of the differences between machine and generative learning. Because AI is already being used to tackle complex challenges and improve efficiency in a variety of industries, I feel it's very valuable to know the basics of how it works. Today, most of us think nothing of using calculators instead of an abacus or pencil and paper to calculate figures. The simple calculator has become a normal part of our routine. In the same way, many aspects of AI are already integrated in many parts of our daily lives. First, I'm going to talk about input, then distinguish between machine learning and generative learning. Full article here: https://goalsforyourlife.com/artificial-intelligence Make sure you're getting all our podcast updates and articles! Get them here: https://goalsforyourlife.com/newsletter  Resources with tools and guidance for mid-career individuals, professionals & those at the halftime of life seeking growth and fulfillment: http://HalftimeSuccess.com #ainews #digitalmarketing #aitools #contentcreation #aiproductivitytools CHAPTERS: 00:00 - Intro 01:34 - Input Data 06:21 - Machine Learning Basics 08:51 - Generative Learning Techniques 10:47 - The Power of AI Applications 15:58 - Applying AI to Your Life 18:24 - Thank You for Joining Us  

My guest today is Alex Wiltschko. Alex is the founder and CEO of Osmo, a science and technology company giving computers a sense of smell. He set out on a mission to digitize our sense of smell and he describes how Osmo is teaching computers to both read and write scent. Alex was kind enough to walk me through the laboratory which you can watch in the video version of this interview on Youtube and Spotify, where he demonstrates their method to the madness. We discuss their first commercial application, Generation, which is revolutionizing the fragrance industry by dramatically accelerating the typically years-long process of custom scent creation. We discuss all of the potential business implications this technology unlocks, applications ranging from counterfeit detection to health monitoring, and creating a cutting-edge proprietary platform in a historically routine industry. Please enjoy my conversation with Alex Wiltschko. Subscribe to Colossus Review. For the full show notes, transcript, and links to mentioned content, check out the episode page here. ----- This episode is brought to you by Ramp. Ramp's mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Ramp is the fastest-growing FinTech company in history, and it's backed by more of my favorite past guests (at least 16 of them!) than probably any other company I'm aware of. Go to Ramp.com/invest to sign up for free and get a $250 welcome bonus. – This episode is brought to you by AlphaSense. AlphaSense has completely transformed the research process with cutting-edge AI technology and a vast collection of top-tier, reliable business content. Imagine completing your research five to ten times faster with search that delivers the most relevant results, helping you make high-conviction decisions with confidence. Invest Like the Best listeners can get a free trial now at Alpha-Sense.com/Invest and experience firsthand how AlphaSense and Tegus help you make smarter decisions faster. – This episode is brought to you by Ridgeline. Ridgeline has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. I think this platform will become the standard for investment managers, and if you run an investing firm, I highly recommend you find time to speak with them. Head to ridgelineapps.com to learn more about the platform. ----- Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com). Show Notes: (00:00:00) Welcome to Invest Like the Best (00:04:25) Introduction to Plum 1.0 (00:06:20) Synthetic Chemistry & OI (00:07:09) Perfumer's Organ & Fragrance Creation (00:08:03) Launching Generation Fragrance House (00:09:15) The Fragrance Design Process (00:12:04) AI and Olfactory Intelligence (00:14:59) The GCMS Machine (00:22:08) The Scent Printer (00:26:47) The Journey of a Fragrance Enthusiast (00:30:47) The Unsolved Problem of Scent (00:32:45) Applying AI to the World of Scent (00:33:17) Validating AI Predictions with Double-Blind Trials (00:39:42) The Emotional Power of Scent (00:49:01) Challenges & Future Prospects (00:59:08) The Defining Moment: Digitizing Smell (01:00:41) The Kindest Thing Anyone Has Ever Done For Alex

Traditional metrics like downloads and citations have long been the standard for measuring research impact. But with advancements in AI and sentiment analysis, medical publication professionals can now uncover deeper insights—how research is perceived, discussed, and acted upon.In this episode, guest host Dr. Carrie Brubaker is joined by Julia Mutygullina and Carlos Areia of Digital Science to explore how sentiment analysis is transforming medical communications. Tune in as they discuss how AI-driven insights go beyond numbers to reveal the quality and emotional tone of engagement, helping publication professionals understand real-world impact.To join ISMPP, visit our website at https://www.ismpp.org/ This Special Edition Topic episode is generously sponsored by Digital Science. Altmetric, part of Digital Science, is pleased to now have clinical guidelines as an attention source. Find out more here.

Chris Johnson, Los Alamos National Lab Significant progress has been made in probing the state of an earthquake fault by applying machine learning to continuous seismic waveforms. The breakthroughs were originally obtained from laboratory shear experiments and numerical simulations of fault shear, then successfully extended to slow-slipping faults. Applying these machine learning models typically require task-specific labeled data for training and tuning for experimental results or a region of interest, thus limiting the generalization and robustness when broadly applied. Foundation models diverge from labeled data training procedures and are widely used in natural language processing and computer vision. The primary different is these models learn a generalized representation of the data, thus allowing several downstream tasks performed in a unified framework. Here we apply the Wav2Vec 2.0 self-supervised framework for automatic speech recognition to continuous seismic signals emanating from a sequence of moderate magnitude earthquakes during the 2018 caldera collapse at the Kilauea volcano on the island of Hawai'i. We pre-train the Wav2Vec 2.0 model using caldera seismic waveforms and augment the model architecture to predict contemporaneous surface displacement during the caldera collapse sequence, a proxy for fault displacement. We find the model displacement predictions to be excellent. The model is adapted for near-future prediction information and found hints of prediction capability, but the results are not robust. The results demonstrate that earthquake faults emit seismic signatures in a similar manner to laboratory and numerical simulation faults, and artificial intelligence models developed for encoding audio of speech may have important applications in studying active fault zones.

In this bonus episode of Problem Solved: The IISE Podcast, we present Mandy Long's keynote address from the Healthcare Systems Process Improvement Conference 2025 in Atlanta. With a distinguished background in artificial intelligence and healthcare technology, including leadership roles at IBM Watson and Experian Health, Mandy explores the practical application of AI in healthcare. She emphasizes the importance of tailoring AI to solve real, human-centered problems, avoiding vendor lock-in, focusing on measurable outcomes, and recognizing the enduring role of human expertise alongside AI.Learn more about the HSPI conference at: iise.org/HSPI

In this episode, Alay and Matthew discuss:  Leaving big law and starting a small firm.  Applying AI in your small […]

Today's guest is Nicole Baker, CEO at biologit. Founded around 2020, biologit - who was a finalist in the Best Application of AI in Healthcare at the 2024 AI Awards - has pioneered an innovative approach to pharmacovigilance, the practice of monitoring the effects of medical drugs after they have been licensed for use.Topics include:0:00 Applying AI and NLP to analyze pharmaceutical literature efficiently3:06 Helping pharma companies and service providers save time4:10 Building AI with open-access literature to analyze unstructured data6:18 How Gen AI isn't fully validated for pharmacovigilance compliance9:14 Pharma adoption of AI is slow due to learning and change management11:19 How AI streamlines event detection and global biomedical data monitoring14:19 Signing 12 new contracts, expanding to top pharma

Today's guest is Peter MacMahon, Consultant Radiologist at The Mater Hospital. Following the Mater Hospital's nomination in the Best Application of AI in Healthcare category at the 2024 AI Awards, Peter joins the show to discuss the integration of AI into radiology and healthcare at large. This conversation provides a window into how AI is being used to enhance patient care. Topics include: 0:00 How his early interest in tech led to radiology in medicine 1:58 How digital radiology revolutionised data access, AI and innovation 5:04 Simplifying tracking tumor changes with prior images 5:57 Applying AI to improve emergency radiology, speed stroke diagnosis & boost accuracy 11:12 AI as a reliable 'wingman,' supporting human decision-making in radiology 12:57 AI tools are helpful, but still prone to making mistakes 14:03 How AI can influence human bias, leading to over or under-diagnosis 15:16 AI improves diagnosis accuracy, but patient outcome studies needed 18:28 Deploying AI in healthcare is complex, involving data protection and coordination 20:39 How a cyber attack delayed AI rollout, but perseverance ensured success

The conversation this week is with Lukasz Borzecki, the CEO of VM Software House, a company specializing in bespoke IT project implementation using a nearshoring model for the central European countries of Germany, Austria, and Switzerland.Lucas has a background that combines both sales and IT, starting with selling ERP software before transitioning to development, and eventually management. He emphasizes the importance of understanding business language for developers, as well as the need to move beyond just writing code. He also believes that AI developers will replace those who don't. Lucas is also a husband and father of three and enjoys playing the guitar and the accordion and hiking in the mountains.Lucas's unique perspective is that AI is a tool that helps with productivity, reduces busy work, and allows for more strategic thinking. He believes that AI is constantly evolving. However, he also stresses the importance of human involvement and decision-making, especially in areas governed by laws such as the EU's AI Act.When he's not working, Lucas enjoys playing the guitar and accordion and even uses his accordion skills to create a unique and positive work environment by playing "Happy Birthday" for employees on their birthdays.If you are interested in learning about how AI is being applied across multiple industries, be sure to join us at a future AppliedAI Monthly meetup and help support us so we can make future Emerging Technologies North non-profit events!Emerging Technologies NorthAppliedAI MeetupResources Mentioned in this EpisodeVM Software HouseGitHub CopilotMidjourneyThe McKinsey WayStory Brand (Building a Story Brand by Donald Miller)AI ActKey Topics DiscussedThe importance of understanding business language for developers and the ability to communicate with clients.AI as a tool for increasing productivity, reducing busy work, and focusing on strategic tasks.The role of AI in modernizing legacy software and processes.The evolving nature of AI and how it is not a 'zero to one' change, but rather a gradual process.The need for human involvement in AI processes and decision-making, especially in legal contexts.Using AI tools such as Copilot and Midjourney.Applying AI to various industries such as semiconductor, automotive, education, industry, and finance.The importance of considering the business impact of AI, – increasing revenue, decreasing costs, or decreasing risk.How to use AI for learning, and how to apply common sense when using AI tools.Enjoy!Your host,Justin Grammens

In this insightful episode, Amir Bormand speaks with Peter Swartz, Altana's Chief Science Officer and Co-Founder, about using data science and machine learning to revolutionize global supply chain management. Peter discusses his journey from quantitative political science and civil engineering to becoming a leader in AI-driven supply chain solutions. He highlights the importance of domain expertise, data-driven decision-making, and leadership growth in scaling impactful technology. Key Takeaways: Cross-Disciplinary Expertise Fuels Innovation: Peter's diverse background in civil engineering and political science uniquely positioned him to tackle complex global supply chain challenges with data science and AI. The Value of Domain-Specific Knowledge: Understanding the global supply chain domain deeply enhances AI application effectiveness by allowing more accurate data modeling and meaningful insights. Leadership Through Continuous Learning: Transitioning from a technical role to a leadership position requires embracing feedback, learning from peers, and being open to evolving skill sets. Building Data-Powered Systems: Altana's mission is to create a global value chain management system that maps billions of data points across supply chains to enable better decision-making at scale. Balancing Technical and Business Leadership: Peter shares his experience of balancing technical product development with business leadership responsibilities to drive business success. Episode Highlights: [00:02:30] Blending Civil Engineering with Data Science [00:05:00] Founding Altana: The Why and How [00:08:00] Applying AI to Real-World Supply Chain Problems [00:12:00] Developing Scalable Data-Driven Solutions [00:16:00] Transitioning into Leadership and Management [00:20:00] Importance of Mentorship and Feedback [00:24:00] Leadership Lessons for Technical Founders [00:28:00] How to Stay Passionate and Focused Connect with Peter Swartz: Website: Altana.ai LinkedIn: https://www.linkedin.com/in/pgswartz Don't Miss: If you're passionate about AI, data-driven decision-making, and leadership growth, this episode is a must-listen. Share with your network, like, and subscribe for more in-depth conversations on tech and leadership.

BOOK TOUR STOPS!! --- https://msrachelhollis.com/live-events/Did you pre-order Rach's NEW book? Get all your FREEBIES here!Pre-order your audiobook of ‘What if YOU Are the Answer' narrated by Rachel on Audible today! You can also pre-order your e-book or hard copy at Amazon, Barnes & Noble (they have signed copies!), Books-A-Millon, Bookshop.org, or wherever books are sold!In this episode of the Rachel Hollis Podcast, Rachel interviews Caroline Miller, a pioneering expert in applied positive psychology and an advocate for evidence-based goal setting. Together they discuss the importance of surrounding oneself with supportive and enthusiastic individuals, particularly other women, in achieving personal and professional goals. Rachel and Caroline also discuss the negative impact of self-esteem parenting and the value of teaching children resilience and grit through exposure to realistic challenges and failures. Additionally, the discussion highlights the revolutionary potential of artificial intelligence in personal and professional development and the significance of fostering environments where women amplify each other's successes. The episode provides listeners with practical strategies for thriving and achieving big goals, emphasizing the essential role of community and positive reinforcement. Check out Carolines New Book "Big Goals" anywhere books are sold00:00 The Right Way to Respond to Success01:14 Introduction to Rachel Hollis Podcast01:47 Guest Introduction and Background03:42 The Impact of Self-Esteem Parenting06:37 The Role of Failure in Building Resilience14:01 The Importance of Surrounding Yourself with the Right People16:54 Women and Goal Setting25:38 Forming Effective Mastermind Groups28:12 New Year's Resolutions and Goal Setting Theory28:49 Debunking Smart Goals29:13 Learning Goals vs. Performance Goals30:07 The Science of Goal Setting31:35 Applying AI to Goal Setting33:38 AI in Business and Personal Growth37:37 Women in AI and Business46:03 The Power of Sharing Stories52:39 Conclusion and ResourcesSign up for Rachel's weekly email: https://msrachelhollis.com/insider/Call the podcast hotline and leave a voicemail! Call (737) 400-4626Watch the podcast on YouTube: https://www.youtube.com/c/RachelHollisMotivation/videosFollow along on Instagram: https://www.instagram.com/MsRachelHollis To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices.

HighlightsCurrent Challenges (00:48)Manny names capital allocation as a major challenge for the office of the CFO. They spend much time thinking about which technologies and industry solutions are best to invest in. They have to determine which investments take priority, such as investing in tech that benefits the company's back office versus their customers. Value creation is also a key consideration. “Our analysis on where do we invest those dollars has gotten a lot more granular and a lot more scrutiny around those decisions,” he says.“Many of the CFOs face the challenge of doing more with less when money has gotten a bit more expensive,” Hedin raises. Another challenge he notes is regulatory aspects. The three C's — cost, control, and compliance — need to be as efficient as possible. Determining how to leverage AI can be a challenge on the technology side.AI Impact (07:17)When building out large language models (LLMs) and algorithms, you have to ensure you have the right governance and controls internally on the data to get the desired outcome. This is vital when starting out leveraging new technologies to drive business decisions and efficiencies. While this can be daunting, “there's a lot of value to it,” Manny notes. Once it's tested and secure internally, the next phase of an AI journey is to look at it from a customer-facing perspective.Hedin shares customer examples of applying machine learning and AI. “In the financial process automation space, AI is definitely saving a lot of time already today for a lot of CFOs,” Hedin says.CFO AI Concerns and Second Half Mindset (11:30)Korakis says the biggest risk is that AI outputs don't necessarily align with the question an employee is seeking to answer. If a person thinks they're feeding the algorithm or LLM all the right data points but they're actually not, that's a big issue. His company is ensuring good data governance.Microsoft has made Copilot actionable for ISVs like Signup; since it's embedded in Finance and Operations as well as Business Central, there are actions that weren't available before, Hedin says. It's one thing to get intelligent responses, but when you can also start doing things such as generating a PO if one's missing, then you have an assistant that can do a lot more things for you. It's really exciting in terms of customer problems that can be solved.Korakis says in the first half of the year there's been a lot of disruption in the macro environment that followed supply chain challenges: rising interest rates that created caution and the need to be very thoughtful in using investment dollars has slowed things down a bit. “I see that starting to phase off” and CFOs are more willing to spend as the second half approaches.D365 Trends (15:09)Hedin says AI is one big, obvious trend with Dynamics 365. The other is new regulatory demands. If you send an invoice to a customer in Italy you need to go through their tax authorities now so they can track it. A US customer asked to start invoicing in Germany and needed guidance. It varies by country. That's a big challenge for the international companies as well – how to handle that in an efficient way.

Host Gregg Garrett speaks with Michael Roberts to discuss how Michael made the AI Agent interviewed in Episode 164, how he tuned it to be a great podcast guest, and where AI might be going in the future. Michael also shares his “Top 3”: Mark Rorvig, a fellow NASA teammate who was with him in his early days of software development and AI exploration; Sydney Lamb, who helped him explore language and the patterns that emerge; and Ken Stanley, who is part of Generative AI's origin story. And you have to hear what he says about the power of habit. . SHOW HIGHLIGHTS During this episode: (0:00) Introduction (1:38) Meet Michael (8:33) What is AI? The “Top Three”: (14:11) Mark Rorvig: Fellow NASA teammate who was with Mike in his early days of software development and AI exploration (18:13) Sydney Lamb: Helped him explore language and the patterns that emerge (23:35) Ken Stanley: Part of Generative AI's origin story Other Points of Interest: (26:55) Creating the “Competing in the Connecting World” RAG model (37:49) The tuning process (44:21) Applying AI to long-form documents (47:33) The future of AI You Have to Hear This: (57:39) The power of habit . LINKS AND RESOURCES Michael Roberts: LinkedIn | Email Gregg Garrett: LinkedIn | Twitter | About CGS Advisors: Website | LinkedIn

What does it take to move from cutting-edge academic research to launching a biotech company that could transform medicine? In this week's episode of Founded & Funded, Madrona Partner Chris Picardo sat down with Jamie Lazarovitz, CEO and co-founder of Archon Biosciences, to uncover the story behind their groundbreaking protein-based biologics and their unique Antibody Cages (AbCs). From bootstrapping deep tech investments as a student to navigating the challenges of commercializing revolutionary science, Jamie shares the pivotal moments, tough decisions, and key lessons that led to Archon's creation. This isn't just a story for biotech enthusiasts — every founder can take away valuable insights on: 1) Asking for help and building teams with complementary skills — no founder succeeds alone. 2) Applying AI thoughtfully — it's a tool, not a magic wand. 3) Patience — ensure your foundation is strong before scaling. 4) Partnering with investors you trust and who align with your mission. 5) Setting a high bar for talent and culture — great people build great companies. 6) Communicating your differentiation — make your value clear to all stakeholders. Full Transcript: https://www.madrona.com/archon-unlocks-antibodies-with-ai-jamie-lazarovits Chapters: (00:00) Introduction  (00:55) Jamie Lazarovitz's Journey from Deep Tech to Biotech (01:45) Early Ventures and Lessons Learned (05:03) The Motivation Behind Jamie's Biotech Passion (07:40) Joining the Institute for Protein Design - David Baker (09:40) Meeting Co-Founder George Ueda and the Birth of Archon (12:46) Revolutionary Protein Design at Archon: Antibody Cages (AbCs) (25:23) The Role of AI in Protein Design (27:50) Building a Successful Biotech Company (38:47) Future Prospects

Today's guest is Alonso Vargas, SVP of Product at Flybuy. Founded in 2011, Flybuy is a turn-key productivity platform that optimizes pickup, delivery, dine in and loyalty for brands worldwide. They use AI and location intelligence to reshape the way businesses engage with their customers, and empower them to achieve operational excellence and drive repeat business. Brands are leveraging Flybuy to drive sales, save money and reduce waste by providing actionable data and insight to streamline their operations and create a seamless customer experience. With over two decades in the tech industry, Alonso is a visionary leader who utilizes technology to promote innovation and provide cutting-edge solutions. His expertise in mobile applications, guest engagement and product management across the hospitality and blockchain domains has been instrumental in steering companies to deliver impactful technology solutions globally. Recognized as an Entrepreneurial Visionary by Latino Leaders Magazine, Alonso is deeply committed to leveraging technology for societal betterment, particularly in the Latino community. In this episode, Alonso talks about: His career journey to joining Flybuy, Providing omni-channel location intelligence for improved customer experience, His role to align product strategy, managing the team and evangelize solutions, Enhancing customer experience with accurate ETA location intelligence, Transforming business priorities into technical requirements with engineers, Applying AI to enhance personalization and operational efficiency, Why Flybuy is a great place to work

Changemakers from One Young World SeriesHost Carol Cone interviews Per Heggenes, former CEO of the IKEA Foundation, on his commitment to empowering refugees and addressing the global issues causing an increase in refugees, such as climate change and poverty. Per shares insights from his tenure, highlighting successful organizational and governmental programs and policies. Per also encourages young leaders to push for impactful change, asserting that businesses can be both profitable and purpose-driven, aligning with the values of today's conscious consumers.This episode is part of our multi-episode series featuring some of the world's most influential changemakers who attended the 2024 One Young World Summit, a global forum that brings together young leaders from 190+ countries to accelerate social impact.Resources + Links:Per Heggenes' LinkedInIKEA FoundationOne Young World (00:00) - Welcome to Purpose 360 (00:13) - Per Heggenes (01:29) - Per Heggenes' Background (03:07) - Per's Time at IKEA (04:47) - Foundation's Focus (07:50) - Programs (10:26) - One Young World Board (11:58) - Refugees (17:19) - Canada's Success (19:58) - Applying AI (22:07) - Advice for Young People (24:15) - Advice to Leaders (26:08) - Wrap Up

How are truck makers using artificial intelligence to change how fleets keep their trucks on the road and generating revenue? To learn more, HDT executive editor Jack Roberts sat down with Volvo Trucks North America connectivity expert Magnus Gustafson at the recent American Trucking Associations' Management Conference and Exhibition for this episode of HDT Talks Trucking. Sponsored by: CAT Scale & Apollo Tire Learn More About AI and Predictive Maintenance: Volvo Trucks Debuts AI-Enabled Blue Service Contract at ATA What Smarter Computers and AI Mean for Predictive Maintenance Understanding AI in Trucking In this Episode, You'll Learn About: AI's Role in Truck Maintenance How Volvo is Applying AI to Predictive Maintenance  Maximizing Uptime and Reducing Costs Maintenance Based on Truck Usage  Difference Between Preventive and Predictive Maintenance  How Volvo's Fleet Management Process Works AI as an Aid, Not a Replacement  Future Potential for AI in Trucking Using Data to Improve Truck Specs and Performance

How can people in all corners of the world participate in the AI revolution and unlock benefits in their own lives? James Manyika, Senior Vice President of Research, Technology & Society at Google, joins the show to discuss global access to AI and the impact on capitalism, the economy, science, and the workforce. He speaks to Google's latest AI developments, including tools to warn people about natural disasters like floods and wildfires, along with the virtual research assistant NotebookLM. Read the transcript of this episode here: www.possible.fm/podcasts/manyika For more info on the podcast and transcripts of all the episodes, visit https://www.possible.fm/podcast/  Topics: 01:18 - Hellos and intros 02:36 - James's career and path into AI 03:59 - UN involvement and diversity of perspectives in global AI  08:04 - Learnings from UN High-Level Advisory Body on AI 10:01 - NotebookLM demo 12:06 - Specific uses of the virtual research assistant NotebookLM  15:03 - Global positive impacts of AI 18:38 - AI and capitalism, the economy  24:10 - AI and climate change  29:17 - Humanity and AI development  32:14 - How to mitigate risks  35:02 - The rising importance of humanist disciplines  36:50 - NotebookLM rollout  39:31 - Truth and bias in the age of AI 40:58 - Rapid-fire questions Select mentions:  NotebookLM - https://notebooklm.google.com/  Governing AI for Humanity, from the UN's High-level Advisory Body on AI - https://www.un.org/sites/un2.un.org/files/governing_ai_for_humanity_final_report_en.pdf Project Green Light - https://sites.research.google/greenlight/  “Applying AI to Rebuild Middle Class Jobs” by David Autor - https://www.nber.org/papers/w32140  “Accelerating Climate Action with AI” from BCG – https://web-assets.bcg.com/72/cf/b609ac3d4ac6829bae6fa88b8329/bcg-accelerating-climate-action-with-ai-nov-2023-rev.pdf  Possible is an award-winning podcast that sketches out the brightest version of the future—and what it will take to get there. Most of all, it asks: what if, in the future, everything breaks humanity's way? Tune in for grounded and speculative takes on how technology—and, in particular, AI—is inspiring change and transforming the future. Hosted by Reid Hoffman and Aria Finger, each episode features an interview with an ambitious builder or deep thinker on a topic, from art to geopolitics and from healthcare to education. These conversations also showcase another kind of guest: AI. Whether it's Inflection's Pi, OpenAI's ChatGPT or other AI tools, each episode will use AI to enhance and advance our discussion about what humanity could possibly get right if we leverage technology—and our collective effort—effectively.

David Autor took his first economics class at 29 years old. Now he's one of the central academics studying the labor market. The M.I.T. economist and Steve dissect the impact of technology on labor, spar on A.I., and discuss why economists can sometimes be oblivious. SOURCES:David Autor, professor of economics at the Massachusetts Institute of Technology. RESOURCES:"Does Automation Replace Experts or Augment Expertise? The Answer Is Yes," by David Autor (Joseph Schumpeter Lecture at the European Economic Association Annual Meeting, 2024).“Applying AI to Rebuild Middle Class Jobs,” by David Autor (NBER Working Paper, 2024).“New Frontiers: The Origins and Content of New Work, 1940–2018,” by David Autor, Caroline Chin, Anna Salomons, and Bryan Seegmiller (The Quarterly Journal of Economics, 2024).“Bottlenecks: Sectoral Imbalances and the US Productivity Slowdown,” by Daron Acemoglu, David Autor, and Christina Patterson (NBER Macroeconomics Annual, 2024)."Good News: There's a Labor Shortage," by David Autor (The New York Times, 2021)."David Autor, the Academic Voice of the American Worker," (The Economist, 2019).“Why Are There Still So Many Jobs? The History and Future of Workplace Automation,” by David Autor (The Journal of Economic Perspectives, 2015).“The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market,” by David Autor and David Dorn (The American Economic Review, 2013).“The China Syndrome: Local Labor Market Effects of Import Competition in the United States,” by David Autor, David Dorn, and Gordon H. Hanson (The American Economic Review, 2013). EXTRAS:"What Do People Do All Day?" by Freakonomics Radio (2024)."Daron Acemoglu on Economics, Politics, and Power," by People I (Mostly) Admire (2024)."You Make Me Feel Like a Natural Experiment," by People I (Mostly) Admire (2022)."In Search of the Real Adam Smith," series by Freakonomics Radio (2022)."Max Tegmark on Why Superhuman Artificial Intelligence Won't be Our Slave," by People I (Mostly) Admire (2021)."Automation," by Last Week Tonight With John Oliver (2019).

Today's guest is Eddie Kirkland, Principal Data Scientist at ICF. Founded in 1969, ICF is a global advisory and technology services provider that combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change and shape the future. Through deep domain expertise and cutting-edge digital services, the team at ICF are helping clients contribute to a healthier planet, create more resilient and equitable communities, and support and grow economic development. Eddie is currently a Principal Data Scientist with ICF, serving the Centers for Disease Control in the metro Atlanta area. A data science team leader with proven generative AI, machine learning and software development skills, he pairs data science and engineering ability with solution design and communication acumen gained in 20 years of organizational leadership. Eddie is recognized as a strategic leader and contributor on data science teams with a dynamic ability to translate complex concepts into relatable and actionable information. In this episode, Eddie talks about: His career journey from music to a passion for data science Combining subject matter and technological expertise for global betterment, Applying AI expertise ethically across diverse client projects, How Generative AI unlocks text data's potential, requiring ethical use, Piloting generative AI to transform data processing tasks, Creating safe spaces for AI experimentation and small models, How ICF provides a supportive culture and meaningful, impactful work

Today's guest is Indrasis Mondal, Vice President of Data and AI at Niche. Founded in 2002 and headquartered in Pittsburgh, Niche is the market leader in connecting colleges and schools with students and families. With in-depth profiles on every school and college in America, over 140 million reviews and ratings, and powerful search and data tools, Niche helps millions of students and families find and enroll in the right school for them. With over 17 years of data science, analytics, ML and AI leadership experience, Indrasis has a strong track record of developing successful data products, capabilities, technologies and organizations in multiple sectors. Currently, Indrasis leads the data & AI organization at Niche where he is responsible for establishing the vision, strategy and capabilities for data democratization. This is to ensure key KPIs and insights are internally accessible for proactive and timely decision-making across the business. In this episode, Indrasis discusses: His career journey from Academia to AI roles in aerospace and startups, How Niche simplifies researching and enrolling in schools, Utilizing data to connect students and colleges, Applying AI to match students with suitable colleges, How the new data team is transforming Niche with AI and ML, Offering impactful data roles focused on education equity

I interviewed Nate Wilson, co-founder and COO of Regard, and Dr. Joe Evans, Chief Medical Information Officer of Sentara Health, about how Sentara Health is applying artificial intelligence in their facilities. Episode Resources Connect with Arundhati Parmar aparmar@medcitynews.com https://twitter.com/aparmarbb?lang=en https://medcitynews.com/ Connect with Nate Wilson and Dr. Joe Evans https://www.linkedin.com/in/natedwilson/ https://www.linkedin.com/in/joseph-evans-md-facp-0b9222169/   Review, Subscribe and Share If you like what you hear please leave a review by clicking here Make sure you're subscribed to the podcast so you get the latest episodes. Click here to subscribe with Apple Podcasts Click here to subscribe with Spotify Click here to subscribe with Podbean Click here to subscribe with RSS

Today's podcast features an interview with Jordan Berg, Principal Investigator for the National Telehealth Technology Assessment Resource Center. We discuss present and possible future applications for AI in healthcare, what AI is and isn't good at, and how it can be especially beneficial for rural patients. The transcript and a list of resources and organizations mentioned in the episode can be found at: https://www.ruralhealthinfo.org/podcast/ai-aug-2024 Exploring Rural Health is an RHIhub podcast.

Information Technology Asset Management Information Technology Asset Management is the practice dedicated to saving money on outdated or duplicate software licenses. You might have a saving of 30% buried in your company. Who can dig out that saving? Our guest Jeremy Boerger. Summary of the Podcast Introductions and small talk The participants, Jeremy Boerger, Kevin Appleby, and Graham Arrowsmith, engage in some initial small talk about locations, conferences, and sports teams. They establish that Jeremy is an expert in IT asset management based in Cincinnati, Ohio. The value of Information technology asset management Jeremy explains that his specialty is hardware and software asset management. His aim is to reduce the total cost of operating a company's IT infrastructure. He cites a Gartner study estimating that companies can save 28-32% on their IT budgets by implementing proper asset management practices. Case study: Saving a hospital $1.5 million Jeremy shares a case study of a hospital that was able to reduce its Office 365 software license costs. He saved them a staggering $1.5 million over 3 years by closely analysing usage and optimising their license agreements. The shift to subscription-based software The discussion turns to the challenges of managing subscription-based software. Companies often continue paying for unused or redundant tools. Kevin and Jeremy discuss the tendency for companies to be hesitant to review and optimise their software portfolios. Applying AI and automation to asset management Jeremy suggests that asset management teams should leverage AI. He also recommends using data analytics to become a "digital twin" of the computing environment. This automatically monitors usage patterns and identifies optimisation opportunities. Recap and next steps The participants wrap up the discussion, with Graham expressing interest in having Jeremy provide consulting services. Jeremy provides his contact information. He offers to provide free consulting to help companies get started on optimising their software costs. Clips from the Podcast Reducing the Cost of Operation https://thenext100days.org/wp-content/uploads/2024/07/Jeremy-Boerger-Basics.mp4   2016 Study by Gartner https://thenext100days.org/wp-content/uploads/2024/07/Jeremy-Boerger-2016-Gartner-Study.mp4   Hospital Saves a Wing's Worth https://thenext100days.org/wp-content/uploads/2024/07/Jeremy-Boaerger-Saves-a-Hospital.mp4   Testimonial from Jeremy Boerger https://thenext100days.org/wp-content/uploads/2024/07/Jeremy-Boerger-ITAM-Testimonial.mp4   Other Related Podcasts: https://thenext100days.org/432-martin-rides-data-software https://thenext100days.org/420-david-oates-yavica   The Next 100 Days Podcast Co-Hosts Graham Arrowsmith Graham is "The High Net Worth Data Guy" who founded Finely Fettled to help business owners and marketers market to affluent and high-net-worth customers.  Now get all-inclusive affluent direct mail campaigns combining A lister copy, design, print and postage for £599+vat, without the DIY hassle. Find Graham on LinkedIn. Kevin Appleby Kevin specialises in finance transformation and implementing business change. He's the COO of GrowCFO, which provides both community and CPD-accredited training designed to grow the next generation of finance leaders. You can find Kevin on LinkedIn and at kevinappleby.com

Professor Anima Anandkumar is one of the worlds leading scientists in the field of AI & ML with more than 30k citations, a h-index of 80 and numerous landmark papers such as FourCastNet, which got world-wide coverage for demonstrating how AI can be used to speed up weather prediction. She is the Bren Professor at Caltech, leading a large team of PhD students and post-docs in her AI+Science lab, and has had extensive experience in industry, previously being the Senior Director of AI Resarch at Nvidia. In this episode I speak to her about her background in academia and industry, her journey into machine learning, and the importance of AI for science. We discuss the integration of AI and scientific research, the potential of AI in weather modeling, and the challenges of applying AI to other areas of science. Prof Anandkumar shares examples of successful AI applications in science and explains the concept of AI + science. We also touch on the skepticism surrounding machine learning in physics and the need for data-driven approaches. The conversation explores the potential of AI in the field of science and engineering, specifically in the context of physics-based simulations. Prof. Anandkumar discusses the concept of neural operators, highlights the advantages of neural operators, such as their ability to handle multiple domains and resolutions, and their potential to revolutionize traditional simulation methods. Prof. Anandkumar also emphasizes the importance of integrating AI with scientific knowledge and the need for interdisciplinary collaboration between ML specialists and domain experts. She also emphasizes the importance of integrating AI with traditional numerical solvers and the need for interdisciplinary collaboration between ML specialists and domain experts. Finall she provides advice for PhD students and highlights the significance of attending smaller workshops and conferences to stay updated on emerging ideas in the field.Links:LinkedIn: https://www.linkedin.com/in/anima-anandkumar/Ted Video: https://www.youtube.com/watch?v=6bl5XZ8kOzI FourCastNet: https://arxiv.org/abs/2202.11214Google Scholar: https://scholar.google.com/citations?hl=en&user=bEcLezcAAAAJLab page: http://tensorlab.cms.caltech.edu/users/anima/Takeaways- Anima's background includes both academia and industry, and she sees value in bridging the gap between the two.- AI for science is the integration of AI and scientific research, with the goal of enhancing and accelerating scientific developments.- AI has shown promise in weather modeling, with AI-based weather models outperforming traditional numerical models in terms of speed and accuracy.- The skepticism surrounding machine learning in physics can be addressed by verifying the accuracy of AI models against known physics principles.- Applying AI to other areas of science, such as aircraft design and fluid dynamics, presents challenges in terms of data availability and computational cost. Neural operators have the potential to revolutionize traditional simulation methods in science and engineering.- Integrating AI with scientific knowledge is crucial for the development of effective AI models in the field of physics-based simulations.- Interdisciplinary collaboration between ML specialists and domain experts is essential for advancing AI in science and engineering.- The future of AI in science and engineering lies in the integration of various modalities, such as text, observational data, and physical understanding.Chapters00:00 Introduction and Overview04:29 Professor Anima Anandkumar's Career Journey09:14 Moving to the US for PhD and Transitioning to Industry13:00 Academia vs Industry: Personal Choices and Opportunities17:49 Defining AI for Science and Its Importance22:05 AI's Promise in Enhancing Scientific Discovery28:18 The Success of AI-Based Wea

The FDA Group's Nick Capman sits down with Matt Lowe, Chief Strategy Officer at MasterControl, to discuss the opportunities and challenges of implementing AI in the life sciences industry. Discussion points include: AI Applications in Life Sciences: Matt outlines the broad spectrum of AI applications, from early-stage drug discovery to post-market analysis of customer feedback and adverse events. Risk-Based Approach to AI: Matt emphasizes the importance of applying a risk-based approach to AI implementation, similar to other processes in the life sciences industry. Low-Risk, High-Value Use Cases: Matt provides examples of low-risk, high-value AI applications, such as automated exam generation for employee training and document change summarization. Human Oversight in AI Systems: Matt stresses the critical role of human oversight in AI implementations to catch errors, ensure regulatory compliance, and maintain control over critical processes. The "3% Problem" and AI Hallucinations: Matt explains the challenges of AI errors and "hallucinations," emphasizing the need for strategies to detect and manage these issues. High-Risk AI Applications: Matt discusses the potential risks of using AI for critical processes like manufacturing recommendations, highlighting the need for thorough understanding and validation. Gradual AI Implementation: Matt advises on starting with simpler AI applications and gradually progressing to more complex use cases as organizations gain experience. AI as a Competitive Tool: Matt explores how AI implementation might affect a company's competitive position in the market, balancing potential benefits against adoption risks. Regulatory Considerations: Matt addresses the importance of aligning AI implementations with regulatory requirements in the life sciences industry. Future of AI in Life Sciences: Matt shares his perspective on the evolving role of AI in the life sciences industry and the importance of continuous learning and adaptation. — The FDA Group helps life science organizations rapidly access the industry's best consultants, contractors, and candidates. Our resources assist in every stage of the product lifecycle, from clinical development to commercialization, with a focus in Quality Assurance, Regulatory Affairs, and Clinical Operations. For project or resource needs, visit thefdagroup.com.

Guiding you through the world of growth, performance marketing, and partner marketing.We sit down with growth and marketing leaders to share tests and lessons learned in business and life.Host: Tye DeGrangeGuest: Peter MullenHype man & Announcer: John Potito

Today's guest is Drew Linsley, Co-Founder and CEO at Operant Biopharma. Operant Biopharma's AI-powered robotic microscope learns to design drugs by watching and controlling diseases over time.  Their platform autonomously designs biological experiments, discovering and optimizing disease treatments. The company focuses on high-need areas like neurodegenerative and kidney diseases, aiming to horizontally address multiple indications and out-license discoveries, blending AI and biology for innovative therapeutic development. Drew is also an Assistant Professor (Research) in Computational Neuroscience and AI at Brown University. He studies biological and artificial intelligence, and believes we need artificial vision to create intelligent machines capable of reasoning about the world. However, existing artificial vision systems struggle with many visual challenges that we routinely solve in our daily lives. He looks to biological vision to inspire new solutions to these challenges in artificial vision. In this episode, Drew talks about: Applying AI to analyze disease data and guide therapeutics autonomously, How Robotic microscopy tracks dynamic biology to aid disease treatment advancements, How AI optimizes drug discovery pipeline & manipulates cellular states for treatment, Applying AI to drive horizontal drug development for diverse indications, Their unique staffing needs within AI, biology and neuroscience

Today's guest is Josh Ransom, VP of Customer Experience and Board Member at BEKhealth. Founded in 2020, BEKhealth are a team of technologists, data scientists, nurses and clinical operations experts on a mission to significantly increase patient access to clinical research by enhancing sites and sponsors ability to “identify and match” more patients. They achieve this through leveraging their AI-powered patient-matching platform to detect more protocol-eligible candidates than traditional methods. Josh is a dynamic, solutions-focused leader with deep experience at Fortune 500 and emerging pharmaceutical, biotech, medical device, diagnostic and life-sciences companies. He is an AI and analytics expert who is passionate about delivering on research goals through more rapid identification of clinically-qualified patients. Josh and the team at BEKhealth are on a mission to positively impact the lives of 100 million people by organizing the world's medical data to expand access to clinical research. In today's episode, Josh talks about: His background leveraging big patient data for medical insights and advancements, How BEKhealth's AI platform integrates patient data for clinical research, Applying AI to improve patient recruitment in healthcare research trials, His proudness of the team's AI superiority over industry giants, How the engineering team enhances NLP for larger datasets & facilitates trials, What makes BEKhealth a great place to work

Episode timestamps(01:47)  Asa Whillock's career journey at market-leading companies and the role of open source in each (Adobe, Macromedia, Alteryx)(04:56) Feature Labs acquisition by Alteryx and its open source roots in democratizing machine learning capabilities(11:00) Survey findings on enterprise board members' perspectives on AI and the need to move beyond policy creation to implementation and governance.(27:00) Applying AI capabilities and decision-making related to AI  (30:00) The future of AI predominance, including cost reduction, open source model advancements, and the push for demonstrating business value(43:33) Advice for navigating AI expertise and decision-making, including continuous learning, self-awareness of decision-making models, and acknowledging knowledge limitsQuotesAsa Whillock"I love regulation. I think it's great. And people are like, what? Why would you say that? And the reason why I say that is because I think it puts a floor underneath all of us of what do we think good looks like?"Charna Parkey"I think we need to, as a community, focus on meeting them where they are if we really want the democratization that is promised. Yeah, I don't know any other way to do it."  

The conversation this week is with Rajeev Bukralia. Rajeev holds the position of a tenured associate professor and the graduate coordinator in the Department of Computer Information Science at Minnesota State University, Mankato.He specializes in AI data science and IT strategies and serves as the founding director for the MS Data Science program. He's also currently focused on investigating responsible AI including the ethical implications and XAI Otherwise known as explainable AI. He is the founder and advisor of Dream, a prominent student organization focused on AI and data science, which has over 300 members. His commitment to student success and professional contributions have been recognized through various fellowships and awards. including the Minnesota State Outstanding Educator Award.If you are interested in learning about how AI is being applied across multiple industries, be sure to join us at a future AppliedAI Monthly meetup and help support us so we can make future Emerging Technologies North non-profit events!Emerging Technologies NorthAppliedAI MeetupResources and Topics Mentioned in this EpisodeDREAMExplainable Artificial IntelligenceACID frameworkBase FrameworkHadoop EcosystemSparkThe Coming Wave by Mustafa Suleyman Midwest Undergraduate Data Analytics CompetitionEnjoy!Your host,Justin Grammens

How can AI be harnessed to manage and enhance personal and professional digital interactions more effectively? In this episode of "AI Unchained," explore the essential tools and concepts needed to apply AI in self-hosted environments, navigate the intricacies of vector embeddings, and integrate AI seamlessly into your digital workspace. What modular approaches and AI skills are essential as coding becomes more automated? Dive into these questions and more with host Guy Swan. Links to check out ⁠Devs Who Can't Code #1 - Build a To Do App (Link: https://tinyurl.com/29taj247) ⁠Devs Who Can't Code #2 - Build a Bitcoin Price Tracker (Link: https://tinyurl.com/38bw54sy) ⁠Unleashed.chat⁠ (Link: https://unleashed.chat/) ⁠NLTK, SKlearn, RE⁠ (Link: https://tinyurl.com/537h53m8) ⁠LM Studio⁠ (Link: https://lmstudio.ai/) Guest Links ⁠[Guest Name] on X⁠ (Link: https://twitter.com/guest) ⁠[Guest Name] on Nostr⁠ (Link: https://tinyurl.com/XXX) ⁠[Guest/Company Website]⁠ (Link: https://example.com/) Host Links ⁠Guy on Nostr ⁠(Link: http://tinyurl.com/2xc96ney) ⁠Guy on X ⁠(Link: https://twitter.com/theguyswann) ⁠Guy on Instagram⁠ (Link: https://www.instagram.com/theguyswann/) ⁠Guy on TikTok⁠ (Link: https://www.tiktok.com/@theguyswann) ⁠Guy on YouTube⁠ (Link: https://www.youtube.com/@theguyswann) ⁠⁠Bitcoin Audible on X⁠⁠ (Link: https://twitter.com/BitcoinAudible) Check out our awesome sponsors! Get ⁠10% off the COLDCARD⁠ with code BITCOINAUDIBLE ⁠⁠⁠⁠⁠⁠(Link: bitcoinaudible.com/coldcard⁠⁠⁠⁠⁠⁠) ⁠Swan⁠: The best way to buy, learn, and earn #Bitcoin (Link: https://swanbitcoin.com)

In this episode, I sat down with Ankit Jain, Founder and CEO of Infinitus Systems. Founded in 2019, the company automates tedious and time-consuming administrative processes across the healthcare ecosystem with AI to free up clinician time and improve access, adherence, and affordability. Infinitus is the only solution that automates the entire phone call process to complete benefit verifications. Infinitus returns that hard-to-find information so providers have the most comprehensive view of treatment coverage and can confidently move forward with a patient treatment plan. The company has raised money from Google Ventures, Kleiner Perkins, Coatue, and a number of other healthcare luminaries. Ankit and I discussed: 1) The company's “spark story,” and how a Google digital assistant for restaurant, spa and salon reservations was pivoted to fill an unmet market need in healthcare, 2) The importance of freeing up time spent on administrative workflows for clinicians to serve patients, 3) Applications of AI in healthcare to solve for areas of unmet need

Guest: Jason Kelly, CEO and co-founder of Gingko BioworksAlmost everyone in the second generation of biotechnology entrepreneurs, says Gingko Bioworks CEO Jason Kelly, works in that field because of one thing: Jurassic Park. The Michael Crichton novel-turned-Steven Spielberg movie captured both the wonder and beauty of bioengineering, and the challenges of bending DNA to your own ends. “You didn't invent biology,” Jason says. “You need to have humility in the face of it ... because life will find a way. It will do things you don't expect. It's not a computer.” In this episode, Jason and Joubin discuss the Wall Street rollercoaster, designer cells, the history of biotech, Herbert Boyer and Genentech, ChatGPT, extinct flowers, Sam Altman and YCombinator, first principles thinking, compounding risk, Patrick Collison, super-voting shares, capital intensive businesses, Pets.com, and why biology is like “freakishly powerful alien technology.”In this episode, we cover:Being private vs. being public (00:58)How bioengineering works (04:27)Jurassic Park (08:51)Biotech breakthroughs (12:15)Why this field is not well-known yet (16:57)“The ChatGPT moment for biotech” (22:05)Meaningful stuff takes forever (26:23)Gingko's first five years (29:02)Why the company went public (36:20)Short sellers, Warren Buffett, and Elon Musk (42:08)Applying AI to DNA engineering (47:57)The long-term future (55:57)Who Gingko is hiring (58:39)Links:Connect with JasonTwitterLinkedInConnect with JoubinTwitterLinkedInEmail: grit@kleinerperkins.com Learn more about Kleiner PerkinsThis episode was edited by Eric Johnson from LightningPod.fm

In episode #2606, We discuss LinkedIn's user-generated content (UGC) strategy and how it leverages AI to rank higher in search results. We highlight the gamification aspect of the strategy, where LinkedIn incentivizes users to post by giving them badges. While the increase in traffic is significant, Neil emphasizes the importance of focusing on key performance indicators (KPIs) that drive revenue and conversions, rather than just traffic numbers. We also mention the potential of AI-enhanced content and programmatic SEO for all websites.Don't forget to help us grow by subscribing and liking on YouTube!Check out more of Eric's content (Leveling UP YT) and Neil's videos (Neil Patel YT) TIME-STAMPED SHOW NOTES: (00:00) Today's topic: Diving Deeper on the LinkedIn UGC Strategy (00:29) LinkedIn UGC strategy explained (01:36) LinkedIn gamifies UGC with badges (02:20) Importance of focusing on KPIs and revenue (03:26) Traffic vs. revenue in marketing (04:10) Importance of traffic and conversions (04:55) Applying AI and programmatic SEO to content (05:13) That's it for today! Don't forget to rate, review, and subscribe! Go to https://www.marketingschool.io to learn more!Links Mentioned in Today's Episode:Olga Andrienko's post Leave Some Feedback: What should we talk about next? Please let us know in the comments below Did you enjoy this episode? If so, please leave a short review. Connect with Us:  Single Grain

In episode #2606, We discuss LinkedIn's user-generated content (UGC) strategy and how it leverages AI to rank higher in search results. We highlight the gamification aspect of the strategy, where LinkedIn incentivizes users to post by giving them badges. While the increase in traffic is significant, Neil emphasizes the importance of focusing on key performance indicators (KPIs) that drive revenue and conversions, rather than just traffic numbers. We also mention the potential of AI-enhanced content and programmatic SEO for all websites. Don't forget to help us grow by subscribing and liking on YouTube! Check out more of Eric's content (Leveling UP YT) and Neil's videos (Neil Patel YT)  TIME-STAMPED SHOW NOTES: [00:00] Today's topic: Diving Deeper on the LinkedIn UGC Strategy [00:29] LinkedIn UGC strategy explained [01:36] LinkedIn gamifies UGC with badges [02:20] Importance of focusing on KPIs and revenue [03:26] Traffic vs. revenue in marketing [04:10] Importance of traffic and conversions [04:55] Applying AI and programmatic SEO to content [05:13] That's it for today! Don't forget to rate, review, and subscribe! Go to https://www.marketingschool.io to learn more! Links Mentioned in Today's Episode: Olga Andrienko's post Leave Some Feedback: What should we talk about next? Please let us know in the comments below Did you enjoy this episode? If so, please leave a short review. Connect with Us:  Single Grain