Podcasts about applying ai

This week we welcome back Senior Technical Evangelist Mike Nelson and introduce podcast newcomer and Product Manager Ameerul Shah. Our conversation centers on the latest developments with Fusion and how it is redefining and automating data management. We explore how the Everpure is moving beyond simple storage management by leveraging the Fusion automation engine to empower IT teams to become true data strategists. A major focus of our discussion moves to the new Fusion MCP server release. Mike and Ameerul explain the Model Context Protocol, describing it as the important bridge between infrastructure data and large language models. By providing the right context, the new Fusion MCP allows AI agents to move past confident guessing and hallucinations, enabling them to safely execute real world tasks like provisioning workloads and resolving incidents with supervised actions. We then highlight the open source commitment behind Fusion MCP, designed to help power users and dark site customers integrate their full infrastructure stacks. Mike and Ameerul discuss the power of API first development, the importance of human in the loop supervision for agentic AI, and the broader shift toward autonomous management. Listeners will gain practical insights into how this technology is helping organizations streamline operations and scale their data services more effectively. To learn more, visit: https://blog.everpuredata.com/purely-technical/smarter-ai-powered-data-management-with-everpure-fusion-mcp-server-2/ Check out the new Everpure digital customer community to join the conversation with peers and Everpure experts: https://purecommunity.purestorage.com/ 00:00 Intro and Welcome 06:38 What Product Managers Actually Do 09:55 Origin of Fusion 14:05 Applying AI to Data Management 16:18 What is Model Context Protocol (MCP) 25:45 Observe, Triage, and Act 35:15 MCP is Open Source 38:25 Availability of MCP for Users 42:49 Hot Takes Segment 48:31 Oops IT Stories

In this episode Trey sits down with Luke Berry, Max Revenue's resident Employee Benefits expert, to break down how he's on pace for his best year ever — $800K in revenue through six months, projected to hit $1.1–1.3M by year end.Luke gets specific about what's actually driving the growth: giving away value through "micro summit" events, a custom-built AI agent trained on his agency's own data, and a complete rethink of how his team processes information. They dig into real (anonymized) deals, including a 300-life AOR win closed in a single month, walk through what it took to build a fully HIPAA/SOC2-compliant in-house AI system, and talk through the real cost, ROI, and security questions every agency owner is asking right now.They also zoom out to the bigger picture — where AI is headed for producers, CSRs, and account managers over the next five years, the "agency of one" theory, tech-first insurtechs vs. legacy agencies, and why the foundation of great production will always be listening, not tools.If you're a producer or agency principal wondering how to actually start using AI (not just dumping policies into ChatGPT), this episode is the playbook.........

Todd Deaville, VP, Advanced Manufacturing Innovation, Magna, joined Grayson Brulte on The Road to Autonomy podcast to discuss how artificial intelligence and advanced robotics are transforming global manufacturing.To Deaville, AI is a highly powerful tool set optimized for recognizing complex patterns, making quality-control decisions, and analyzing massive data flows. Applying AI to robotics introduces unprecedented flexibility to the physical world, moving beyond historically rigid, defined programming to enable machines that can adapt and make operational changes in real time.With manufacturing facilities spanning 28 countries, Magna's primary challenge is deploying these advanced technologies at scale. To achieve this, the company clusters its solutions around specific product and process archetypes, relying on a playbook approach with practical guides to help local plants succeed.This shift toward more complex digital workflows is being further accelerated by a new generation of workers whose gaming backgrounds have trained them to navigate highly interactive, realistic three-dimensional simulations.. By continuously feeding operational data back into its systems, Magna is elevating the skills of its workforce, streamlining its design-for-manufacturing processes, and building a highly efficient, autonomous future.Episode Chapters0:00 Defining AI in Manufacturing2:40 Robotics4:42 Open Source Models & Data Sovereignty8:34 Deploying Tech Globally11:07 Labs vs. Active Factory Floors13:06 Scale Is the Real Bottleneck16:56 Humanoid Robots21:13 Gaming and the Evolving Workforce28:57 Magna Data Flywheel31:06 The Future of Robotaxi Manufacturing32:32 Future of Magna33:56 AUTNMY AI--------About The Road to AutonomyThe Road to Autonomy is the leading applied intelligence platform covering the convergence of automation, autonomy, and the Autonomy Economy.™.Through our podcasts, newsletter, Indices and proprietary applied intelligence, we set the narrative for institutional investors, industry executives, and policymakers navigating the convergence of automation, autonomy, and economic growth.Join institutional investors and industry leaders who read This Week in The Autonomy Economy every Sunday. Each edition delivers exclusive insight and commentary on the autonomy economy, helping you stay ahead of what's next.Sign up for This Week in The Autonomy Economy newsletterFollow The Road to Autonomy IndicesSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Host Luke McNamara is joined by Jake Nicastro, who leads the AI function for the Frontline Intelligence Operations team within the Google Threat Intelligence Group (GTIG). Jake details how his team is shifting from simple prompt engineering to more advanced agentic workflows, focusing on a model of "human-machine teaming." He shares practical use cases for AI in CTI—including automated script decoding, hunting query creation, and streamlining repetitive metadata-labeling tasks. Jake also discusses the concept of "judge agents" for quality control, the implementation of structured analytic techniques, and how real-time AI assistants can accelerate on-boarding and domain transitions for frontline threat analysts.

The talent market is sending mixed signals. Employers insist they can't find the people they need, while experienced, capable candidates say they are applying into a void and hearing nothing back. Both are describing the same market, so something in the middle is failing. A lot of recruiting technology was built to handle volume, to move large numbers of applicants through a process quickly. What it struggles to do is read signal, to interpret whether someone actually has the judgment and context to solve the problem a business has. So how do we fix this problem, and will AI give us the solution? My guest this week is James Gardner, a talent acquisition and transformation leader who has spent over twenty years building and scaling talent functions. In our conversation, he shares what his own data-driven job search revealed about the market, why volume systems and signal systems pull in opposite directions, and how AI could either fix the problem or make it considerably worse. In the interview, we discuss: What's really happening on both sides of the talent market Why the market isn't short of talent; it's short of signal. Running a job search as a data funnel Why silence, not rejection, is the real problem Why volume systems and signal systems contradict each other Where AI screening still can't read potential Applying AI to a broken process just makes it fail faster. Moving TA from a service function to a commercial lever Owning the outcome, not just the shortlist. What does the future look like? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify

In this episode of The Private Equity Podcast, Alex Rawlings speaks with Russ Roenick, Co-Founder and Managing Partner at Transom Capital, about building a differentiated middle-market investment strategy around carve-outs, special situations and operational complexity.Russ explains how launching Transom shortly before the global financial crisis shaped the firm's highly hands-on approach. He outlines how Transom identifies businesses with strong underlying industry potential but significant operational challenges, then applies a disciplined value-creation model to improve performance.The discussion covers Transom's six core operational transformations: salesforce effectiveness, new product innovation, digital transformation, supply-chain improvement, cost reduction, and talent and culture.Russ also shares how the firm structures its operations team, why former portfolio-company CEOs and CFOs can become highly effective operating partners, and how Transom is deploying AI across back-office and commercial functions.Key TakeawaysWhy operational and situational complexity can create attractive entry points.How Transom approaches carve-outs as an opportunity rather than simply additional risk.The importance of building repeatable operational capabilities instead of attempting every possible transformation.Why operating teams should be involved from underwriting through execution.How supply-chain improvements have generated substantial gross-margin expansion.Where AI is currently delivering value across accounts payable, receivables, customer service, forecasting and sales.Why portfolio companies need internal AI champions to drive adoption.How leaders can stay informed without overpowering portfolio-company management teams.Timestamps00:00 Introduction to Russ Roenick and Transom Capital00:30 Moving from McKinsey into Private Equity01:26 Transom's value-oriented investment strategy01:55 Distressed investing versus operational value investing03:16 Using operational and situational complexity04:14 Carve-outs, lender situations and tail-end funds05:14 Launching Transom during the global financial crisis07:04 The importance of adapting while maintaining investment discipline08:29 Why Transom specialised in carve-outs and special situations10:58 Why many firms view carve-outs as excessive risk12:54 Transom's six operational transformation strategies13:23 Salesforce transformation14:17 New product innovation14:45 Digital transformation and AI implementation15:15 Supply-chain and gross-margin improvement16:13 Cost reduction, talent and culture17:37 Structuring the portfolio operations team18:05 Recruiting former portfolio-company CEOs and CFOs19:59 Transom's approach to AI adoption20:57 Applying AI across back-office functions21:49 Creating internal AI champions22:48 Common AI use cases across the portfolio24:10 How Russ stays informed25:31 Leadership, decision-making and knowing when to step back25:57 How to contact RussRaw Selection partners with Private Equity firms and their portfolio companies to secure exceptional executive talent. We focus on de-risking executive recruitment through meticulous search and selection processes, ensuring top-tier performance and long-term success.

Nothing in industrial technology news annoys me more than the hype around artificial intelligence—AI. I recorded this podcast on the eve of the Automate trade show and conference in June 2026.   Looking to for realistic use of Industrial AI, I'm bringing in an interview with a practitioner. Bryan DeBois is Director of Industrial AI at RoviSys, one of the largest independent system integrators. He has 20 years in MES, historians, and plant floor software. He leads teams that operationalize AI and data infrastructure in live plants, working with the C suite and ops to turn goals into running systems.   We look at definitions of AI. Then turn to the technology development from when RoviSys developed its AI practice in 2019 pre-LLMs. RoviSys took autonomous AI beyond predictive applications. Hiring deep manufacturing expertise, they can use AI to assist the human in the loop to make constrained decisions. DeBois discusses real-world applications. He then leads us through the beginning of a project.

What happens when a media company goes all-in on AI for 2.5 years? In this special episode, Michael Stelzner and Ali Kelly, Director of Memberships at Social Media Examiner, pull back the curtain on how their team actually uses AI every day — the wins, the mistakes, and the lessons they've learned along the way. You'll discover how they use AI to curate daily news for marketers, how AI helped reposition an entire product's messaging based on customer data, and how a 60-minute live training gets turned into a full resource kit using AI-powered workflows. Whether you're just getting started or deep into your own AI journey, this episode is packed with real-world examples you can apply to your marketing and business.Guest: Ali Kelly | Check out the AI Business Society at SocialMediaExaminer.com/aisociety Review our show on Apple PodcastsSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This episode is brought to you by Your Clockwise Week—a personalized weekly structure built around your actual life, not an ideal one. If your week feels full but not fitting, you can learn more at mikevardy.com/yourclockwiseweek.This episode marks the latest installment in PM Talks, the monthly series I do with my longtime collaborator Patrick Rhone. We've been doing this for a few years now — closing in on three seasons — and what I love most about these conversations is that they're genuinely reflective. We're not coming in with a polished take. We're working through ideas in real time, and that's exactly what makes them worthwhile.This time around, Patrick and I dove into a word that doesn't get nearly enough airtime in 2026: prudence. It's one of those terms that has been moralized, gendered, and generally squeezed out of everyday conversation. But it's also one of the nine principles in my upcoming book Productiveness, and the more I unpack it, the more convinced I am that it's something we're all practicing quietly — even when we don't call it by name.Six Discussion PointsPrudence traces back to the mid-14th century as a concept tied to intelligence, foresight, and practical wisdom — and it sits alongside justice, fortitude, and temperance as one of the four classical cardinal virtues. That's a lot of weight for a word most people associate with Dana Carvey doing George H.W. Bush.The word has faded from everyday use for a few reasons: it got moralized through its religious and philosophical associations, it became a common woman's name that then fell out of fashion, and perhaps most crucially, it got sidelined by a speed culture that has no patience for anything that feels unhurried.Prudence lives in interesting territory between "too soft" words like intentional and "too hard" words like strategic or tactical. It carries a moral dimension that neither of those fully captures, which is part of why it's so hard to replace and so easy to overlook.The connection between prudence and AI turned into one of the richest threads we pulled on. Patrick made the point that AI is fundamentally not prudent — it doesn't tolerate known unknowns well, and tends to hallucinate its way toward confident-sounding answers even on questions that science genuinely hasn't resolved (yawning being a particularly delightful example). Applying AI prudently means knowing where human judgment still has to lead.Evening routines and morning preparation came up as lived examples of prudence in action — laying out clothes the night before, prepping dinner before your brain is fully engaged, checking in with a collaborator ahead of a scheduled call. Prudence often shows up in the small, low-glamour decisions we make before we even know we'll need them.Patrick, who does circus rigging work, offered a line that I think is the most compressed definition of prudence I've heard: "Slow is smooth and smooth is fast." When you're under time pressure — two minutes to set up a flying net — the prudent approach isn't to rush. It's to move deliberately, know the order of operations, and trust that the method will get you there faster than panic will.Three Connection PointsPatrick Rhone's blog post: Thoughts on AI and the Known UnknownsRyan Holiday's video responding to Ivanka Trump's comments on stoicismMike's upcoming book Productiveness, where prudence is one of the nine core principlesPatrick and I will be back next month for PM Talks S3E7, where we're taking on a word with a lot of range: tolerance. It means something very specific in rigging and something very different in everyday conversation, and I suspect we'll cover a fair bit of ground on both fronts. In the meantime, I hope this episode gives you an excuse to bring "prudence" back into your vocabulary — and more importantly, to notice the places where you're already living it.If this episode resonated, I'm exploring ideas like these more deeply in my upcoming book, Productiveness. You can follow along as it takes shape at mikevardy.com/productiveness.

Imagine waking up to find a thousand AI agents silently making decisions across your company—and no one knows exactly what they're accessing.In this episode of Data Driven, hosts Frank La Vigne and Andy Leonard sit down with Ron Longo, CEO of Trustlogix, to explore the evolving landscape of AI governance, security, and data engineering. As enterprises race to integrate AI at unprecedented speed, the noise and confusion have never been greater. Ron Longo unveils the concept of the AI control plane with a "kill switch," discusses the real-world challenges of securing both human and non-human agents, and explains why classic best practices—like least privilege and prompt engineering—are more important than ever in an era where machines operate at breakneck pace.Join us as we dive into how Trustlogix keeps enterprise data safe, why innovation must balance with protection, and what it takes to build systems resilient enough for the next wave of AI-driven change. Whether you're a data engineer, business leader, or just AI-curious, this episode brings practical insights and lively stories from the front lines of AI governance.LinksRon's LinkedIn profile -https://www.linkedin.com/in/ronlongo/TrustLogix Web site -https://www.trustlogix.ai/TheDingo -https://www.thedingo.ai/Time Stamps00:00 Managing data security threats05:08 Developing the kill switch concept07:20 Enforcing least privilege access12:43 AI communication challenges and best practices15:40 Revoking agents and data access19:25 AI kill switch for security22:00 Managing data access with control plane25:59 Applying AI to complex environments29:45 Discussing data engineering basics32:16 Language experts' unique advantage33:49 Creating an app with Claude AI37:09 Balancing AI and security in enterprises43:43 AI's impact on job roles44:51 Learning from Air Force RFP

Anyone that follows me on social media will know that I am not the biggest fan of AI and in particular Generative AI. So when I ended up sitting next to the founder of The Institute of Applied AI, Siobhan O'Leary at a Chamber breakfast, I couldn't resist inviting her to come on the Win Happy podcast ! We had a really fascinating chat about the family jewellery business, her career as an engineer, the challenge of juggling work and family, and then a huge pivot to self employment and the world of applying AI to business. When I was editing the podcast, after about 25 minutes of perfect audio for some reason the sound collapsed on Siobhan's microphone and I was struggling badly to recover the audio quality. After lots of repair work by me using the software that I normally use, I had an ok recording but it wasn't at all good enough to publish. Instead of abandoning what I had, I ironically turned to an AI repair tool that I had never used before to see if it could rescue the recording At times it changed Siobhan's voice and at times it managed to mispronounce some words - it still needed some intervention from me and a few parts I had to delete but all in all it did an ok job. I'll let you listen and figure out where the AI took over and you might let me know if you think it did a good job or not! Enjoy the show ... Podcast Production by Greg Canty Greg's blog Greg on Twitter  Greg on LinkedIn Email Greg with feedback or suggested guests: greg@fuzion.ie   

Today's guest is Darren Redmond, a Generative AI Specialist and experienced Engineering Leader. In the fast-paced world of technology, the lines between professional obligations and personal aspirations can often blur. However, Darren is at the forefront of leveraging AI to redefine his work-life balance. In this episode, Darren delves into his journey of using artificial intelligence to create efficiencies in his work, allowing for more personal time spent with his family.Topics include:0:00 His journey as an experienced engineer connecting systems to now applying AI principles4:42 Using AI to AI enable rapid automation, experimentation and scalable decision-making workflows8:02 How a health scare reshaped priorities toward family, lifestyle and intentional work9:20 Enabling 10x productivity with AI, shifting developers to orchestration roles12:00 A multi-agent AI shifts software roles toward orchestration, quality and customer-focused design14:41 Non-technical AI skills automate content, emails and daily workflows at scale17:40 Working on a mix of projects with shared reusable skills, each with tailored instructions and outputs20:06 Applying AI to automate work and build income, prioritising time with children and lifestyle design22:13 Using an AI-enabled business flywheel across Lego content, consultancy and automation26:03 As AI costs vary, governance and literacy help reduce token usage

Dr. Hemant Kumar Bid is a top educator in the field of Biotechnology and Medical cannabis. He serves as Program Director for the Morehouse School of Medicine, using his extensive background in biotechnology research and cannabinoid research to educate graduate students and infuse the industry with science-backed legitimacy. Recently, Hemant has become deeply engaged with Artificial Intelligence and Machine Learning through his academic, clinical, and program development work.  During our conversation we discuss: How AI and machine learning are accelerating drug discovery, enabling personalized treatment, and analyzing complex genomic and clinical data. How the Morehouse School of Medicine is updating its biotechnology curriculum to integrate AI/ML  Why the accuracy of AI predictions depends entirely on data quality fed into the models, making standardization, diverse representation, and clean datasets critical for success How AI can help reduce trial-and-error prescribing in favor of personalized care for specific patient conditions, optimized dosing, and potential adverse effects and/or drug interactions. Major challenges that need to be overcome before AI and ML can truely transform medical cannabis treatment.  Thanks to This Episode’s Sponsor: Tikun Olam Tikun Olam is the world’s first licensed medical cannabis company. With over 20 years of clinical cannabis research, Tikun Olam has conducted 7 clinical trials and published over two dozen academic journal studies using its heirloom cultivars. Tikun Olam products are designed for specific needs: pain relief, better sleep, digestive comfort, and neurological balance — all standardized for consistent, predictable results. If you’re curious to learn more about their products or research, they even offer a free one-on-one consultation with a licensed nurse. Shop online or find a dispensary at tikunolam.com Additional Resources Register for CannMed 26 Meet the CannMed 26 Speakers Review the Podcast

At some point in every career—often at mid-career or halftime of life—we pause and ask a simple but powerful question: What's next? Many professionals today have tremendous experience, skills, and wisdom, yet they also feel uncertainty as technology, especially artificial intelligence, reshapes the way we create and work. I've asked myself the same question I hear from others: How do I use AI without losing my voice or the value of my experience, especially as a creative? The truth is that AI isn't just another tech trend—it can become a creative partner. When used thoughtfully, even basic AI tools can help you expand ideas, refine your message, repurpose content, and bring new projects to life faster than ever before. The key insight is this: AI doesn't replace your creativity—it amplifies it. In today's episode, we'll explore how creativity with AI can help fuel your next big chapter. Full article here: https://GoalsForYourLife.com/creativity-with-ai YouTube Video of this show: https://youtu.be/YkPP06Sld34   Get POWER OF AFTER BOOK HERE: https://amzn.to/3GpEGlJ  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 Chapters 0:00 Introduction to the Power of After 2:10 The Fear and Potential of AI in Mid-Career 4:45 Experience as the Foundation for AI 7:30 Refining Your Voice and Polishing Ideas 10:15 Mining Outtakes and Repurposing Content 13:00 Visualizing Ideas with AI Image Tools 16:00 Brainstorming New Angles and Perspectives 19:15 Organizing Your Creative Systems 22:00 Why Human Insight is the Differentiator 24:30 Applying AI to Your Next Chapter 25:50 Final Encouragement and Resources#ai #creativity #careertransition #midlife #innovation  

Why do most AI initiatives fail to deliver real value? Because they automate broken processes instead of fixing them. In this episode of Technovation, Peter High speaks with Shobhit Varshney, Global Head of Artificial Intelligence at Citi, about how one of the world's largest banks is rethinking AI from the ground up. With experience spanning Citi and IBM, Shobhit shares how a value-first, platform-driven approach is enabling AI at scale, while maintaining strong governance and control. Key highlights include: Why re-engineering workflows is essential before applying AI How Citi prioritizes high-value use cases with clear ROI accountability The role of centralized AI platforms in scaling capabilities Embedding responsible AI across the enterprise Building an AI-first culture through training and champions

On today's episode of The Transfer Flow, Patrick and Ted break down the final week of the January transfer window and the stories shaping the run-in. We start with Spurs' move for Andy Robertson and whether a 31-year-old fullback on a long contract makes sense for a team still searching for stability. Then we turn to the market's biggest forward as Arsenal and Barcelona chase Julián Álvarez, asking if he's worth a nine-figure fee and if he's the striker Arsenal need. From there we unpack Manchester United's win over Arsenal, looking at Arteta's tactical choices, slow restarts, and growing physical strain, plus how United's press and long-range shooting swung a title race that suddenly feels tighter. We then move to Aston Villa under Unai Emery, questioning whether their long-range goal spree is a genuine tactical edge or a hot streak, what it means for expected goals, and how the modern striker role is evolving as more teams build attacks around creating space for midfield shooters. Join our Patreon: https://www.patreon.com/TheTransferFlow Subscribe to our FREE newsletter: https://www.thetransferflow.com/subscribe Join Variance Betting: https://www.thetransferflow.com/upgrade Follow us on our Socials: YouTube: https://www.youtube.com/channel/UCe1WTKOt7byrELQcGRSzu1Q X: https://x.com/TheTransferFlow Bluesky: https://bsky.app/profile/thetransferflow.bsky.social Instagram: https://www.instagram.com/thetransferflow/ TikTok: https://www.tiktok.com/@transferflowpodcast Timestamps: 00:00 - Intro 01:06 - FBref/Opta situation 02:36 - Impact on people making a career in football? 04:37 - Applying AI to data collection 07:04 - Sign up for The Transfer Flow Conference! 08:04 - Has this window matched expectations? 09:07 - Robertson to Spurs? 12:48 - Gallagher signing thoughts 14:11 - Julian Alvarez linked to Arsenal and Barcelona 16:19 - €100m for a 26 year old? 17:47 - Arsenal need to try again at CF 18:46 - Rodrygo and Vinicius Jr rumours 22:04 - Where will Alvarez land? 23:17 - Should Arsenal fans be worried? 24:18 - Top xG team since December? 26:07 - Are United a good team now? + Arsenal worries 27:00 - No Europe is a GOOD THING for United at the moment 28:40 - Concern meter 29:52 - Finally some rest for Arsenal 31:08 - Odds for Villa to win the league? 33:03 - Restarts should be taken quicker? 34:33 - Villa's long-range goals and xG off the path? 37:30 - Basketball analogy + how it applies to the PL 39:58 - This might be happening in the PL now 41:00 - Strikers are less involved this season 42:15 - Have Villa found an edge? 43:30 - Game state vs in training 45:12 - Emi Martinez' performance + flipping the script 46:25 - Have Villa locked up 3rd already? 48:10 - These teams NEED a summer off #arsenal #astonvilla #manchesterunited #tottenham #julianalvarez #premierleague #epl #transfernews #transfers #eplnews #football #soccer #soccerpodcast #foryou #fyp

In this episode of Talking AI, Matt Paige speaks with Andy McMillan, CEO of Alteryx, to challenge the narrative that AI will make data analysts obsolete.Andy argues that AI can make analysts indispensable by automating routine tasks, enhancing scalability, and providing specific business insights.They discuss the evolving role of analysts, the importance of business logic, and how AI can aid in building useful tools.The conversation touches on applying AI in various business processes, from budgeting to sales commissions, and how analysts can leverage AI to add value.Andy also shares insights on Alteryx's latest developments and future direction, emphasizing automation, data preparation, and AI tools designed to enhance productivity and accuracy.--Key Moments:00:50 The Evolving Role of Data Analysts03:19 AI and Data Preparation: A New Era04:04 Real-World Examples: AI in Action07:00 The Analyst's Superpower: Business Context10:07 AI and the Semantic Layer12:44 Empowering Analysts with AI21:11 The Future of AI Agents23:46 Applying AI to Automation23:56 The Future of AI Agents24:55 Preparing for AI Integration25:37 Challenges with AI in Business27:45 AI in Finance and Data Accuracy30:06 Strategic Shifts with AI35:29 Build vs. Buy in the AI Era38:56 Alteryx's New AI Capabilities41:22 The Future Role of Analysts42:18 Overhyped and Underhyped AI--Key Links:AlteryxConnect with Andy on LinkedInMentioned in this episode:Free report from HatchWorks AI — State of AI 2026What's real in AI this year, what's hype, and what leaders should prioritize — including production lessons, designing for agents, and governance. https://hatchworks.com/state-of-ai-2026/

In this episode, Nikki Barua, a successful entrepreneur and author, discusses the transformative power of AI in entrepreneurship and the importance of lifelong learning. She emphasizes the need for individuals to adapt to the changing job landscape, the concept of agentic AI, and the significance of setting specific goals. Nikki shares insights from her book, 'Beyond Barriers,' and encourages listeners to embrace the journey of personal and professional growth.-----------00:00 Introduction to Lifelong Learning and AI02:45 The Entrepreneurial Landscape and AI04:46 Navigating Job Displacement and Opportunities with AI06:56 Understanding Agentic AI and Human Collaboration10:18 The Future of AI and Its Impact on Society12:15 Applying AI as Infrastructure for Innovation12:28 Insights from 'Beyond Barriers' and Personal Growth19:28 The Journey of Growth and Overcoming Stuckness21:46 The Importance of Lifelong Learning and Unlearning

AI is reshaping learning and development faster than any of us expected. So how do we adapt? And what skills will matter most as tools, workflows and expectations keep changing in the workplace?In this episode, Matt speaks with Josh Cavalier, an AI and L&D expert with more than two decades of experience helping organizations modernize the way they design learning. Josh is also the author of Applying AI in Learning and Development, a practical guide for teams looking to build confidence, capability and structure around AI-powered work.Josh shares real-world insights on handling rapid change inside organizations, understanding how AI affects creative and instructional output, and building the skills to keep up. He explores how the role of L&D is shifting, why integrity matters more than ever, and what it looks like to create a personal AI training plan for 2026.You'll also hear how to identify your 'sources of truth' so you can keep up with changes in your industry and in AI without getting overwhelmed, plus why having access to multiple AI models can dramatically improve the quality of your work.Learning points from the episode include:00:55 – 02:17 Introduction to Josh's book02:17 – 05:37 How do we apply AI to the jobs that we do?05:37 – 08:13 How do we keep up and use AI in the day-to-day?08:13 – 13:41 Why adaptability is paramount with AI13:41 – 17:49 How AI has raised the bar in work17:49 – 19:39 AI as an enabler for creativity19:39 – 25:08 Maintaining your integrity25:08 – 28:48 Avatars vs humans in video28:48 – 30:30 The HUMAN framework30:30 – 34:25 Faster? Or faster and better?34:25 – 37:08 Josh's final takeImportant links and mentions:Find Josh's book on Amazon: https://www.amazon.com/Applying-Learning-Development-Platforms-PerformanceVisit Josh's website: https://www.joshcavalier.com/Connect with Josh on LinkedIn: https://www.linkedin.com/in/joshcavalier/Learn more about The HUMAN framework: https://www.techsmith.com/blog/human-framework-for-ai-training-videos/

What does it take to transform treasury into a strategic driver inside a global luxury brand? In this episode, Olivier Smekens, Global Head of Treasury at Breitling, shares how he's leveraging fintech, automation, and agile thinking to future-proof treasury operations - and what you can learn from his approach.With a career spanning consulting, automotive manufacturing, and high-growth private equity environments, Olivier brings a wealth of cross-industry experience. At Breitling, he's leading the digital transformation of treasury - automating FX hedging, preparing for IPO-readiness, and exploring the frontiers of AI in financial systems.Whether you're building a treasury function from the ground up or optimizing an established one, you'll walk away with practical insights on:Implementing automation to manage FX riskEvaluating next-gen treasury techSupporting rapid growth in a private equity settingThis conversation is a must-listen for treasury professionals ready to elevate their role as strategic enablers of growth.What We Cover in This Episode:Olivier's career path: from KPMG auditor to global treasury leaderTransitioning into treasury without prior experience - and thrivingKey treasury challenges in the automotive industry (FX risk, liquidity, decentralization)What it's like to lead treasury in a private equity-backed companyHow treasury supports high-growth initiatives at Breitling, including acquisitions and expansionImplementing FX hedge automation using KantoxPreparing for a TMS rollout: evaluating AI capabilities and tech providersThe role of NFTs and blockchain in Breitling's digital innovationEmbracing a tech-forward mindset to drive treasury efficiencyHow cross-cultural experience has shaped Olivier's leadership styleWhy soft skills and simplification are vital for board-level impactYou can connect with Olivier Smekens on LinkedIn. ---

Dr. Waqaas Al-Siddiq, CEO and Founder of Biotricity, has designed a direct-to-consumer service to shift healthcare from a reactive to a preventive model by simplifying and accelerating access to remote cardiac screening. Applying AI to sift through patient data allows the cardiologist to focus on clinically relevant information and to identify sporadic, intermittent heart issues that are often difficult to detect using traditional heart screening techniques.  Waqaas predicts an expansion of specialized solutions using AI and large datasets to support clinicians and patients in the drive to identify early signs of disease. Waqaas explains, "The thing that we've been focused on is, as you know, heart issues. We've talked extensively about heart issues, which are the number one killer. And so what we've done now is we've collected this massive dataset, but we're trying to look at the nuances of those needles in a haystack. So it's not about the individuals who have arrhythmias to catch. It's about the ones who are very, very sporadic and intermittent, something that happens once every four months. Is there a way to predict that? Can we grab additional data from the patient about their environment, about their history, to get a more holistic view of the patient? " "Often, with a massive amount of data in a set, you can get into prediction, but you need a more holistic view. Our focus has now been on now that we've captured 90% of the scenarios, the last 10% are incredibly complicated, and how do we leverage that? How do we use our data to basically get into those specialized nuances?" #HeartSecure #hearthealth #preventative #heartdiease #healthyheart #selfcare #healthylifestyle #healthtestathome #HeartYourHeart #Biotricity #CareInnovation #HealthcareAI #Bioheart #Cardiology biotricity.com Download the transcript here

Dr. Waqaas Al-Siddiq, CEO and Founder of Biotricity, has designed a direct-to-consumer service to shift healthcare from a reactive to a preventive model by simplifying and accelerating access to remote cardiac screening. Applying AI to sift through patient data allows the cardiologist to focus on clinically relevant information and to identify sporadic, intermittent heart issues that are often difficult to detect using traditional heart screening techniques.  Waqaas predicts an expansion of specialized solutions using AI and large datasets to support clinicians and patients in the drive to identify early signs of disease. Waqaas explains, "The thing that we've been focused on is, as you know, heart issues. We've talked extensively about heart issues, which are the number one killer. And so what we've done now is we've collected this massive dataset, but we're trying to look at the nuances of those needles in a haystack. So it's not about the individuals who have arrhythmias to catch. It's about the ones who are very, very sporadic and intermittent, something that happens once every four months. Is there a way to predict that? Can we grab additional data from the patient about their environment, about their history, to get a more holistic view of the patient? " "Often, with a massive amount of data in a set, you can get into prediction, but you need a more holistic view. Our focus has now been on now that we've captured 90% of the scenarios, the last 10% are incredibly complicated, and how do we leverage that? How do we use our data to basically get into those specialized nuances?" #HeartSecure #hearthealth #preventative #heartdiease #healthyheart #selfcare #healthylifestyle #healthtestathome #HeartYourHeart #Biotricity #CareInnovation #HealthcareAI #Bioheart #Cardiology biotricity.com Listen to the podcast here

Is AI the secret sauce that lets the West deglobalize supply chains and bring factories back home?In this episode of TechFirst, I talk with Federico Martelli, CEO and cofounder of Forgis, a Swiss startup building an industrial intelligence layer for factories. Forgis runs “digital engineers” — AI agents on the edge — that sit on top of legacy machinery, cut downtime by about 30%, and boost production by roughly 20%, without ripping and replacing old hardware.We dive into how AI agents can turn brainless factory lines into adaptive, self-optimizing systems, and what that means for reshoring production to Europe and North America.In this episode, we cover:• Why intelligence is the next geopolitical frontier• How AI agents can reshore manufacturing without making it more expensive• Turning old, offline machines into data-driven, optimized systems• The two-layer model: integration first, vertical intelligence second• Why most manufacturing AI projects fail at integration, not algorithms• How Forgis raised $4.5M in 36 hours and chose its lead investor• Lean manufacturing 2.0: adding real-time data and AI to Toyota-style processes• Why operators stay in the loop (and why full autonomy is a bad idea… for now)• Rebuilding industrial ecosystems in Europe and North America, industry by industry• What Forgis builds next with its pre-seed round and where industrial AI is headedGuest:

The AI rollup transforming property managementThis week on Riding Unicorns, we sit down with Dan Lifshits, Co-Founder & COO of Dwelly — the AI-first lettings and property management platform reinventing how landlords, tenants, and agents interact.Dwelly is on a mission to modernise the UK rental market by acquiring traditional letting agencies and rebuilding them with technology at their core. The business is growing fast, backed by General Catalyst and other leading investors, combining the operational rigour of real estate with the scalability of AI.Before founding Dwelly, Dan was one of the youngest associates at McKinsey, then helped scale Gett (the ride-hailing company) from early stage to over $1bn in GMV and 1,000+ employees — experience that now shapes Dwelly's operational DNA.In this episode, we dive into: 

Today's guest is Emily Nguyen, Head of Industrials and Warp Speed at Palantir Technologies. Emily joins Emerj Editorial Director Matthew DeMello on the show to discuss the realities of AI adoption on the factory floor. Despite rapid advances in AI, many manufacturers still rely on legacy systems, siloed data, and even pen-and-paper processes. Emily shares insights from her 12 years at Palantir on how to bridge these gaps, connect critical functions, and build organizational readiness for AI. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast!

Share your thoughts with us!At Eight Sleep, product innovation isn't just about comfort—it's about performance, health, and personalization at scale. And behind the numbers powering that mission is CFO Nick Chammas.On this episode of Ventured Growth, Catherine Jhung sits down with Nick to discuss how Eight Sleep evolved from a niche product for athletes into a sleep fitness brand with global momentum. From raising $100M to expanding manufacturing across continents, Nick has helped steer the company through pivotal growth milestones.He shares insights into their new AI-powered sleep agent, how digital twins are driving personalized rest, and why the best product feedback comes straight from the customer.Topics include:Applying AI to sleep and biometric dataFrom product-market fit to global expansionHow Eight Sleep is solving for menopause, snoring, and temperature regulationLeading a capital-efficient team of 100Nick's personal journey from banking to scaling a hardware brandAnd more…Nick Chammas is the CFO of Eight Sleep, the world's first sleep fitness company. With experience across finance, operations, and strategy, he brings a holistic view to driving growth in a competitive consumer tech landscape.

Please join HRS Digital Education Committee Vice-Chair, Tina Baykaner, MD, MPH, of Stanford University, as she is joined by Heart Rhythm Society President Mina K. Chung, MD, FHRS, of the Cleveland Clinic, and Konstantinos C. Siontis, MD, FHRS of the May Clinic. The three met up in Altanta at HRX 2025 for this stimulating coversation. This study evaluated whether artificial intelligence applied to single-lead ambulatory ECGs could predict imminent sustained ventricular arrhythmias. Using deep learning models, the researchers demonstrated that AI could identify subtle ECG features preceding arrhythmic events, enabling accurate short-term risk prediction. The findings suggest a potential role for AI-enhanced ECG monitoring to improve early detection and prevention of life-threatening ventricular arrhythmias. To view bonus video recorded LIVE at HRX 2025 in Atlanta, view this episode on Heart Rhythm 365 or the HRX Innovation Hub! Article Authors Laurent Fiorina ∙ Tanner Carbonati∙ Kumar Narayanan ∙ Jia Li ∙ Christine Henry ∙ Jagmeet Singh ∙ Eloi Marijon Read the Article: https://www.heartrhythmjournal.com/article/S1547-5271(23)02195-1/fulltext Podcast Contributors and Disclosures Tina Baykaner, MD, MPH | Stanford University Mina K. Chung, MD, FHRS | Cleveland Clinic Konstantinos C. Siontis, MD, FHRS | Mayo Clinic All relevant financial relationships have been mitigated. T. Baykaner:   •Honoraria/Speaking/Consulting: Volta Medical, Medtronic, Pacemate, Johnson and Johnson, Abbot Medical, Boston Scientific Research: NIH M. Chung: •Honoraria/Speaking/Consulting: University of Chicago, Cedars Sinai Medical Center, Asia Pacific Heart Rhythm Society, NIH, Baylor College of Medicine, Kansas City Heart Rhythm Symposium, American College of Cardiology, Geisinger Health Systems, ABIM, Academy for Continued Healthcare Learning, MediasphereMedical, Western AF Symposium, University of Minnesota, Stanford University, Canadian Heart Rhythm Society •Research: NIH, American Heart Association •Royalty Income: Elsevier, Wolters Kluver •Officer: American Heart Association K. Siontis: •Research: Anumana, Varian Medical Systems •Intellectual Property Right: Anumana •Speaking/Teaching/Consulting: EBAMedSA, AskBio

This week on The Modern Customer Podcast, John Solomon, CMO of Therabody, shares how the company rebuilt its brand around the customer. By shifting from product-first to customer-first, Therabody expanded relevance, built trust, and strengthened loyalty. AI then pushed personalization even further—turning product use into connected experiences that grow with each customer. Highlights from our conversation:  ✔️ Leveraging customer feedback to guide Therabody's rebrand and audience-first strategy  ✔️ Applying AI to deliver personalized wellness experiences at scale  ✔️ Designing products and experiences around customer needs  ✔️ Building cultural relevance through talent partnerships that strengthen brand connection

Practicing donor conversations has never been this fun… or this effective, thanks to AI and a little help from Tivi. SHOW NOTES:September 11, 2025 – Episode # 195Practicing to Win: Fundraising Confidence with Practivated… and an Octopus Named TiviFundraising can be challenging, stressful, and full of high-stakes conversations. But what if practice could turn anxiety into confidence? On this episode of Raise Nation Radio, host Dawn Lego reconnects with Mallory Erickson, founder of Practivated, to explore how her innovative AI platform helps fundraisers rehearse and refine donor conversations. Guided by Tivi the octopus, fundraisers can simulate real-life donor scenarios, receive instant feedback, and gain the confidence needed to connect more authentically. This conversation is a reminder that technology and human connection don't compete. They enhance each other, and even a little octopus can make learning fun. Big shout-out to Mallory for her inspiring speaking session at Raise 2025 and to Practivated for sponsoring the conference. We're thrilled to feature them in our very first Raise coverage of the season! Guest Reflection: “Tivi reminds us that it's okay to stumble in practice, because every misstep we rehearse now is a confident connection later.“ — Mallory EricksonEpisode Highlights: Sharing Mallory's journey from burnout to empowered fundraising leadership. Practicing with intention to transform donor conversations and entire careers. Leveraging Practivated to simulate donor interactions and build confidence. Reducing fear of rejection by turning challenges into meaningful connections. Applying AI-driven practice while keeping the human touch at the center. Connect with our Guests: Mallory Erickson Episodes Resources: Practivated Blog Responsible AI What the Fundraising Power Partners Formula

In this final episode of season four, YS Chi sits down with the chief technology officers at LexisNexis Risk Solutions, Elsevier and LexisNexis Legal & Professional to explore the topic of technology at RELX.RELX is not a tech company, but  a big user of technology. Around 12,000 technologists, over half of whom are software engineers, work at RELX. Annually, the company spends $1.9bn on technology. Vijay Raghavan, Jill Luber and Jeff Reihl share insights on how they are driving AI innovation, from extractive to generative and agentic technologies, to solve real-world challenges in law, healthcare and research.  They also share candid advice on staying adaptive, experimenting boldly and preparing for the future of work.For insights on technology at RX, listen to Brian Brittain, chief technology officer at RX, in episode three.  Watch the video version at https://youtu.be/IlfsybgDQlI

Brad Stroh, co-CEO and co-founder of Achieve, shares how he's built one of the most impactful fintech companies by taking a completely different path from the typical Silicon Valley playbook. Through bootstrapping rather than chasing venture capital, Brad and his co-founder have created a mission-driven business that has served over 1.5 million people and resolved $18 billion in debt since 2002.• Understanding the information asymmetry in financial services that disadvantages consumers making major financial decisions• How Achieve flips traditional asset management by focusing on liability management for the underserved• The evolution of consumer debt over two decades through multiple economic cycles• Applying AI to create "zero-click financial services" that automatically optimize consumer finances• The importance of saying no to opportunities that don't align with core mission• Brad's leadership philosophy centered on being intentional and deliberate• Making the shift from viewing monthly payments to understanding total cost of debt• How economic uncertainty and inflation are affecting consumer financial stability• The importance of balancing regulation with innovation in financial servicesWhen everyone else was chasing venture capital and quick exits back in 2002, Brad and his Stanford Business School classmate Andrew Hauser made the radical decision to bootstrap their company. Their reasoning was profound yet simple: they wanted to build something meaningful that would last decades, not just until the next funding round. This patient approach has paid extraordinary dividends.Brad shares how banks leverage vast data resources and experience to maximize profits from consumers who may only go through major financial transactions a handful of times in their lives. By flipping this dynamic and democratizing financial knowledge, Achieve helps struggling and striving families navigate their way to stability.The conversation explores how consumer debt has evolved through multiple economic cycles – from the dot-com bust through the Great Recession and pandemic. Brad offers fascinating insights on current economic conditions and the transformative potential of AI in financial services.If you've enjoyed this episode, please take a moment to rate and comment on Apple, Spotify, YouTube, or wherever you listen to podcasts.Brad Stroh: https://www.linkedin.com/in/bradfordstroh/Brad Stroh, the Co-CEO and co-founder of Achieve, starting the company back in 2002 out of Stanford Business School.  Over the past 20-plus years, Achieve has served over 1.5 million people, resolved over $18 billion in debt, and funded over $10 billion in loans. Achieve is approaching a billion dollars in annual revenue with over $7 billion in cumulative revenue and 2,800 employees.Before embarking on this entrepreneurial journey, Brad graduated from Amherst College in 1996 with majors in Literature and Economics, and then graduated from Stanford Business School in 2002.Website: https://www.position2.com/podcast/Rajiv Parikh: https://www.linkedin.com/in/rajivparikh/Sandeep Parikh: https://www.instagram.com/sandeepparikh/Email us with any feedback for the show: sparkofages.podcast@position2.com

About the Episode:This episode dives into AngelList's core products and how they strengthen the startup ecosystem. Goutham explains how AngelList sits at the center of founders, GPs, and LPs, providing tools and infrastructure to fuel innovation. He discusses the impact of AI on AngelList's operations, from streamlining fund deployment to providing deeper insights for investors. Goutham also shares his thoughts on the current AI hype cycle and how it's blurring the lines between traditional roles in tech companies. The conversation explores AngelList's adoption of crypto, including USDC funding and the potential for tokenization to create liquidity in private markets. Goutham also touches upon the future of AngelList and the exciting AI-powered products on the horizon.About the Guest and Host:Goutham Buchi: CTO of AngelList, former Senior Director of Engineering at Coinbase, co-founder and CEO of Mysicamore.→ LinkedIn:  ⁠https://www.linkedin.com/in/gouthambuchi/⁠Nataraj: Host of the Startup Project podcast, Senior PM at Azure & Investor.→ LinkedIn:   ⁠https://www.linkedin.com/in/natarajsindam  → Email updates: ⁠https://startupproject.substack.com/⁠Timestamps:00:02 - Introduction and Guest Introduction01:06 - Goutham's Background and Journey02:21 - AngelList's Core Products and Business Drivers05:18 - Democratizing Access to Early Stage Venture06:43 - How AngelList Differs from Coinbase09:27 - The Role of Regulation in Crypto and AngelList11:19 - Goutham's Thoughts on Gen AI and the AI Hype Cycle14:09 - AI: From Research Problem to Engineering Problem17:56 - The Blurring of Roles with AI22:28 - Blockers to AI Adoption24:50 - How AngelList is Using AI in its Products29:52 - Crypto Integration at AngelList33:26 - Competition: Banking Rails vs. Regulation35:58 - Creating Liquidity for GPs on the Platform39:46 - Future of AI at AngelList44:14 - Skills for Product Managers in the Age of AI49:11 - Exploring AI Tools50:21 - Product HuntSubscribe to Startup Project for more engaging conversations with leading entrepreneurs!→ Email updates: ⁠https://startupproject.substack.com/⁠#StartupProject #AngelList #AI #ArtificialIntelligence #Startups #VentureCapital #Investing #Crypto #Coinbase #ProductHunt #Technology #Innovation #Funding #GouthamBuchi #NatarajSindam"}]

This conversation is a must-listen for engineering leaders, CTOs, and operations professionals who are curious about how to deploy AI in complex, physical systems. It covers everything from telemetry data to orchestration engines, the role of human validation, AI-assisted SDLC, and team culture in AI adoption. If you're building or managing AI-first systems that interact with the real world, this episode offers hands-on insight and strategic direction.

Send us a textWork with Jordan personally at www.ecommerceos.coWork with social commerce club at www.socialcommerceclub.comGet 27 strategies in 27 days at https://socialcommerceclub.com/pages/27-strategiesJoin Tiktok shop elites mastermind at https://www.skool.com/tiktokshopelite/about   Join Jordan West live for an in-depth exploration of the cutting-edge AI innovations reshaping e-commerce in 2025!

In this episode of TAG Data Talk, Dr. Beverly Wright discusses with Huzaifa Sayed, Senior Manager of Data Science at The Home Depot:What are some business operations solvable via AI?How can AI technologies help streamline, improve, or otherwise support operations?What does the future hold for leveraging AI as part of operational activities?What final piece of advice would you give to someone trying to find ways to leverage AI technology used to support business functions?Huzaifa Sayed, Senior Manager of Data Science at The Home DepotFollow Huzaifa Sayed

We're excited to kick off a new show focusing on the real-world AI applications that product teams are using to become faster, more efficient, and smarter. Jeff has been traveling across the country meeting product leaders, and he keeps having the same conversation: every product person wants to know how their peers are using AI in their teams and their workflows. So we're bringing you those conversations about how your peers are using AI in their day-to-day to move faster and more efficiently than ever before. In our first episode, we're welcoming back Roman Gun, VP of Product at Zeta Global. In this episode, we talk about: The prompting and workflow orchestrations Roman created to automate writing PRDs, one of the most disliked tasks of product managers, and how he has made them into living, breathing documents that initiate collaboration The AI communities and platforms he uses, including Reddit and Discord, to stay ahead, learn new tricks, and gain early access to the best new tools And Magic...not actual magic, but we have a little fun with Roman's side-project centered around Magic: The Gathering, and how he built tools to prototype new decks and beat players with far more experience Links LinkedIn: https://www.linkedin.com/in/romangun/ Zeta Global: https://zetaglobal.com/ Resources Real-world AI products with Roman Gun, VP of Product: https://www.youtube.com/watch?v=B7syxCetzHU Leader Spotlight: Right-sizing processes, with Roman Gun: https://blog.logrocket.com/product-management/leader-spotlight-roman-gun/ Inside Gemini 2.5 | Logan Kilpatrick | PodRocket: https://youtu.be/2LGKwf2xH7g Tools OpenAI: https://openai.com/ Gemini: https://gemini.google.com/ Claude: https://claude.ai/ Figma: https://www.figma.com/ Coda: https://coda.io/ Notebook LM Discorder: https://support.google.com/notebooklm/answer/16268096?hl=en&co=GENIE.Platform%3DDesktop Cursor: https://www.cursor.com/ Windsurf: https://windsurf.com/ Loveable: https://lovable.dev/ ChatGPT: https://chatgpt.com/ Chapters 00:25 AI in Action 01:27 Real-World AI Applications 02:41 Community and AI Learning 06:12 Automating PRDs with AI 11:51 Training AI for Better Outputs 14:48 Prototyping with AI Tools 16:03 Generating Baseline Code with AI Tools 16:17 The Power of Prototyping and User Feedback 16:36 Accelerating the Creative Process 18:18 Magic: The Gathering and AI Deck Building 19:28 Challenges and Innovations in AI Deck Building 21:35 Learning and Applying AI in Real Life 25:30 The Future of Junior Roles in Tech 30:21 Final Thoughts and Encouragement Follow LaunchPod on YouTube We have a new YouTube page (https://www.youtube.com/@LaunchPod.byLogRocket)! Watch full episodes of our interviews with PM leaders and subscribe! What does LogRocket do? LogRocket's Galileo AI watches user sessions for you and surfaces the technical and usability issues holding back your web and mobile apps. Understand where your users are struggling by trying it for free at LogRocket.com (https://logrocket.com/signup/?pdr). Special Guest: Roman Gun.

In this episode, Craig Jeffery talks with Dave Robertson about how AI is being applied in treasury today. They cover key use cases, from forecasting and credit analysis to policy automation, and explore challenges like hallucinations and data privacy. What should treasurers be doing now to prepare for what's coming? Listen in to learn more. CashPath Advisors

Join Chris and me for a discussion about using AI to improve your team's systems. Chris Lopez is an AI expert that helps companies improve their companies with AI enhancements. One of my favorite parts of this interview is when he talked about using AI to inform strategic decisions. You can get the Magnetic Systems Method (and other systems guides) to find issues before they become expensive problems. Highlights from the interview: 1. Introduction and AI-powered workflow automation We discuss Chris's expertise in using AI tools like Make.com to automate business workflows. Chris shares a story about how a YouTuber named Helena Lou used Make.com to automate her social media posting and video creation, leading to significant growth in her online business. 2. Leveraging AI to enhance business operations He explains how he helps companies identify their core business processes and then use AI-powered tools to streamline and automate those workflows. He emphasizes the importance of providing AI systems with clear parameters and prompts to ensure they deliver the desired outcomes. 3. Applying AI for competitive intelligence and strategy We discuss how AI can be used to monitor competitor activity, track pricing changes, and provide insights to inform strategic business decisions. They highlight the value of automating these types of competitive intelligence gathering and analysis tasks. 4. Developing custom AI assistants and coaches I share how I've been experimenting with using custom AI assistants to help coach himself, and Chris provides suggestions on how to effectively leverage AI in this capacity, such as by curating the training data and prompts to align with specific coaching goals. 5. The future impact of AI, robotics, and emerging technologies He discusses the book "The Coming Wave" by Mustafa Seliman, which has influenced his perspective on the disruptive impact of AI, robotics, and other emerging technologies on society and the workforce. They explore how these technologies may transform industries and daily life in the coming years. Learn more about Chris Lopez over on LinkedIn.  As always, if you have any questions or want to submit an amazing guest for the podcast, just reach out to me on the Systematic Leader website, and I'll do my best to get them on. If you enjoy the interview, please take 30 seconds to rate the Systematic Leader podcast on your favorite platform. Thanks!

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

Dr. Nandita Balakrishnan, Director of Intelligence at the Special Competitive Studies Project, and Anna Knack, Senior Research Associate at the Alan Turing Institute join Jeanne Meserve to discuss their recent report, “Applying AI to Strategic Warning.” The conversation covers applying AI for strategic warning, examining how artificial intelligence could forecast geopolitical risks, and the report's benefits, challenges, and future implications. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit scsp222.substack.com

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

➡ 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.  

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.

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.

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).