Podcasts about augmenting

The traditional project management Big Three of Scope, Schedule, and Cost are foundational. They are not going anywhere, and they should not. However, those metrics primarily measure the process. If you only look at data on a digital dashboard, you are missing the human element that determines whether a project succeeds or fails.In this episode, we break down how to augment your traditional constraints with four people-focused vital signs that provide a real-time, accurate picture of your team and project health.Alignment: Is everyone actually pulling in the same direction, or are they just checking boxes?Confidence: Does the team genuinely believe the objectives are achievable?Direction to Done: Is the path forward completely clear, or is the finish line a moving target?Stability: Is the operational environment steady, or are shifting priorities causing burnout?By tracking these human indicators alongside your standard constraints, you bridge the gap between software dashboards and real-world execution.Key TakeawaysThe Process vs. People Gap: Why on-time and under-budget projects can still fail if the team is completely misaligned.Augmenting the Big Three: How to layer qualitative human metrics on top of quantitative scope, schedule, and cost data.The 4 Vital Signs Explained: A deep dive into Alignment, Confidence, Direction to Done, and Stability, and how to spot when one is slipping.Leading with Clarity: Practical ways for PMO leaders to pulse check these metrics through direct communication rather than software tracking.Resources MentionedConnect with the Show: peopleprocessprogress.comKeep the Conversation Going: @thekevinpannell on X and InstagramFitness and BJJ Content: Own. Move. Anchor. on YouTubeRead the Book: The Stability Equation: 7 Pillars for a More Balanced LifeGodspeed y'all,Kevin

Augmenting anatomy with disease activity! Summit Shah, MD MPH, explains to host, Raisa Amiruddin, MBBS, how visualizing disease activity through molecular imaging helps in solving diagnostic uncertainties. Explore how PET/MRI, brain mapping, targeted radiotracers, and theranostics are driving the shift towards personalized, precision medicine in pediatric patients. 

Thomas Galbraith is the CEO and co-founder of Barkr, an AI-driven valuation platform for asset-backed lending. He spent his early career in high net worth insurance at AIG and AXA, where he grew comfortable with the challenge of pricing hard-to-value assets. That thread ran through every role he held until it crystallized into a company built around a simple but structural problem: in asset-backed lending, appraisers give you a price and then spend the rest of their report telling you they're not responsible for it. Barkr is built to change that.What We CoveredThomas's background in high net worth insurance at AIG and AXAHow a common thread across luxury assets led to founding BarkrStarting with fine art and private jets before expanding to other asset classesThe two-part failure in traditional appraisals: accuracy and absence of liabilityHow Barkr pairs an AI valuation with a contractual performance warrantyThe progression from Lloyd's of London to AXA to Munich Re$2 billion in covered valuations and what patience actually means in this businessGPUs as a surprisingly durable and long-lived collateral asset classHow Barkr finds clients, from pavement pounding to Nvidia referralsMonthly mark-to-market on hard assets throughout a loan's lifeBuilding a domain-specific LLM with human review in the loopPlans to build an in-house insurance vehicle to unlock capacityKey TakeawaysTraditional appraisal firms hedge their liability by design. Page one is the price; the rest of the report is the disclaimer. Barkr's contractual warranty flips that model by standing behind the number.Barkr's data on GPU durability challenges the conventional narrative. Chips five and seven years old are still generating revenue and still have meaningful resale value, which changes the risk calculus for lenders considering AI infrastructure as collateral.Augmenting, not replacing, is the right positioning for valuation technology. Barkr actively encourages clients to keep using their existing appraisers and treats third-party appraisals as additional data inputs that improve their own accuracy.Building a reinsurance relationship takes years. Barkr worked through Lloyd's, then AXA, before landing Munich Re, and each step required demonstrating proof of concept at the prior level first.About Thomas GalbraithThomas Galbraith is the CEO and co-founder of Barkr. He began his career in high net worth insurance at AIG and AXA before founding Barkr to bring accountability and AI-driven accuracy to asset valuation in the lending market. Barkr has covered approximately $2 billion in valuations across art, private jets, vehicles, and GPUs.Connect with Fintech One-on-One:Tweet me @PeterRentonConnect with me on LinkedInFind previous Fintech One-on-One episodes

Hosts Lois Houston and Nikita Abraham are joined by Brent Dayley, Senior Principal APEX and Apps Dev Instructor, to explore the latest vector AI supporting features in Oracle Exadata and GoldenGate 23ai. The conversation begins with an overview of Exadata's capabilities and then shifts to how GoldenGate is powering distributed AI, real-time data streaming, and analytics with advanced microservices architecture. Brent highlights recent GoldenGate enhancements, including distributed vector support, robust monitoring, OCI IAM integration, and support for next-generation AI workloads via real-time vector hubs.   Oracle AI Vector Search Deep Dive: https://mylearn.oracle.com/ou/course/oracle-ai-vector-search-deep-dive/144706/ Oracle University Learning Community: https://education.oracle.com/ou-community LinkedIn: https://www.linkedin.com/showcase/oracle-university/ X: https://x.com/Oracle_Edu   Special thanks to Arijit Ghosh, Anna Hulkower, and the OU Studio Team for helping us create this episode.   Please note, this episode was recorded before Oracle AI Database 26ai replaced Oracle Database 23ai. However, all concepts and features discussed remain fully relevant to the latest release.   -------------------------------------------------------   Episode Transcript:   00:00 Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we'll bring you foundational training on the most popular Oracle technologies. Let's get started! 00:26 Lois: Hello and welcome to another episode of the Oracle University Podcast! I'm Lois Houston, Director of Communications and Adoption Programs with Customer Success Services, and with me is Nikita Abraham, Team Lead of Editorial Services with Oracle University.  Nikita: Hi everyone! Thanks for joining us! In our previous episode of this series, we took a deep dive into Oracle AI Vector Search and Retrieval Augmented Generation, or RAG, showing how unstructured data can be transformed into embeddings to power smarter, more context-aware AI with Oracle Database 23ai. Lois: That's right, Niki. We also explored how the OCI Generative AI service can be used with both Python and PL/SQL, and how AI Vector Search enables relevant information retrieval for large language model prompts. 01:21 Nikita: Today, we're focusing on the latest supporting features for Oracle AI Vector Search. Joining us once again is Brent Dayley, Senior Principal APEX and Apps Dev Instructor. Welcome back, Brent! To kick things off, could you outline what's new in Exadata with the 24ai release, particularly for AI storage? Brent: So Exadata has ushered in a new era of AI capabilities with 24ai release. Key features of Exadata system software 24ai include AI Smart Scan, Exadata RDMA Memory, known as XRMEM, Exadata Smart Flash Cache, and on-storage processing.  In-Memory Columnar Speed JSON Queries, Transparent Cross-Tier Scans, and caching enhancements, including Columnar Smart Scan at Memory Speed, Exadata Cache Observability, and Automatic KEEP Object Load into Exadata Flash Cache.  Now, Exadata system software 24ai is a significant release. It ushers in a new era of AI capabilities for Oracle Database users.  Now there have been some infrastructure improvements, including the ability to increase the number of virtual machines on X10M and Secure Boot for KVM Virtual Machines.  We have also improved and enhanced high availability and network resilience, including improved RoCE Network Resilience and enhanced RoCE Network Discovery. There have been some enhancements for monitoring and management, including AWR and SQL Monitor Enhancements and JSON API for Management Server.  Additionally, security enhancement. SNMP Security. Now, Exadata system software 24ai is supported on Exadata database machines and storage expansion racks from X6 and newer.  03:40 Lois: Those are some fantastic advancements for Exadata users. Now, let's pivot to distributed AI. Brent, can you walk us through how GoldenGate enables distributed AI? Brent: Let's take a look at some common GoldenGate use cases as a refresher. The first use case is multi-active, high availability, and cross-region deployments, spanning on-premises and cloud environments.  Another use case includes data offloading and data hub creation in order to support multiple downstream applications. Real-time data stores for Downstream Marts and Analytics. Micro and mini services architecture and an audit history of transactions.  Other use cases include migrations and upgrades of databases, including OCI-hosted databases. Another use case would be creating analytic data feeds for various applications, including SaaS and on-premises apps. And finally, stream analytics using application and transaction events captured by GoldenGate Stream Analytics.  05:03 Nikita: We know GoldenGate has long been a staple for enterprise data integration. So Brent, what makes GoldenGate the best choice today, and how has its architecture evolved? Brent: It offers DIY Stream Analytics. GoldenGate does remain the top choice for Enterprise Standard, real-time data streaming. It supports Oracle and third-party databases, vector sources, messaging systems, and NoSQL databases.  OCI offers a fully managed pipeline builder for Stream Analytics. This pipeline leverages various OCI services, such as OCI Streaming for real-time event ingestion, OCI Dataflow for stream processing, OCI Big Data for data storage and processing, and OCI Stream Analytics for real-time event processing and analysis.  GoldenGate microservices, available since 2017 in Oracle GoldenGate 12.3, is used in over 4,000 deployments in OCI. Benefits of GoldenGate microservices include the ability to employ the same trusted Extract and Replicat processes as the classic architecture.  Provides flexible and secure remote administration through a user-friendly web interface or CLI. Deployable on-premises in OCI as a service and in third-party cloud environments. Simplified patching and upgrading process.  Now the GoldenGate architecture evolution. First, classic architecture that was deprecated in version 19c and desupported in 23ai. Microservices Architecture introduced in version 12.3 and is the recommended architecture. A migration utility is available to upgrade from classic to microservices architecture.  07:12 Are you ready to create and manage AI Agents in Fusion Applications? Check out the Oracle AI Agent Studio for Fusion Applications courses! Start with the Foundations course to build, customize, and deploy AI Agents, and then advance to the Developer Professional certification. Explore hands-on labs and real-world case studies. Visit mylearn.oracle.com for all the details.  07:39 Nikita: Welcome back! It sounds like the latest GoldenGate updates offer new features and integrations. Could you share more about these enhancements? Brent: There are many new features and enhancements in GoldenGate, along with microservices, including a redesigned GUI for enhanced usability. Integration with StatsD and Telegraf for monitoring and metrics. OCI IAM integration for secure access control.  JSON Relational Duality for flexible data handling. Next-generation AI with distributed vector support. PDB Extract Capture for efficient data extraction from Oracle Pluggable Databases. DDL notification on Target Tables for schema evolution management.  Support for non-Oracle and Big Data technologies. Online DDL and EBR enhancement for improved performance. Data Streams Pub-Sub for asynchronous data dissemination. Async API support for standardized event communication. High-availability clusters for increased resilience. Trail Files Management for efficient data storage. And support for new features in 23ai database.  It also includes integrated diagnostics for improved troubleshooting of IE and IR processes. And 30 or more OS and database certifications for wider platform support. @Dbfunction Mapping for custom data transformations. And lastly, GoldenGate free recipes for pre-built solutions and best practices.  New in GoldenGate, distributed AI processing with vector replication.  09:37 Lois: And what type of use cases does this enable? Brent: Migrating vectors into Oracle Vector Database. Replicating and consolidating vector changes. Implementing multi-cloud, multi-active Oracle vector databases. Streaming text and vector changes to search engines.  Key considerations include that embedding models must be consistent across all vector stores for effective similarity searches.  10:09 Lois: Now, many organizations wonder if they can use generative AI with their own business data. Brent, how do enterprises typically approach this? Brent: Organizations are using generative AI typically like this.  Building LLMs from scratch. Training models on proprietary data for specific tasks. Fine-tuning LLMs, adapting pre-trained models to a specific domain using private data. And prompt engineering with retrieval augmented generation or RAG. Augmenting prompts with relevant information retrieved from a knowledge base to improve the accuracy and relevance of LLM responses.  Now it's possible to create a real-time vector hub for GenAI. This hub can ingest real-time data from various sources, including Oracle and third-party relational databases, vector databases, third-party messaging systems, and NoSQL databases, business updates, documents, events, and alerts.  11:11 Nikita: And how does the vector hub work?  Brent: DML and DDL changes, vector changes, and prompt or chat history are used to enrich prompts. And embedding model generates embeddings from the text data.  Similarity search is performed on these embeddings to retrieve relevant information from the vector hub. The retrieved information is used to augment the prompt, leading to more accurate and trustworthy answers from the LLM. Now, the benefits of real-time data and generative AI include the ability to ensure answers are based on fresh business data. And helps reduce hallucinations in generative AI responses.  Actionable AI and machine learning from streaming pipelines allows data from ERP and SaaS applications, databases, event messaging systems, and NoSQL databases to be ingested into streaming pipelines. This data can then be used for AI and machine learning model training, similarity searches, machine learning tasks, external AI, and machine learning integrations, alerts, and data product creation.  12:25 Lois: So if you had to summarize, Brent, why does GoldenGate 23ai stand out for artificial intelligence workloads? Brent: Well, first up, it improves data quality for AI model training and fine-tuning. And secondly, it enhances retrieval augmented generation by providing real-time access to relevant business data, leading to more accurate and trustworthy generative AI responses.  Nikita: Thank you, Brent, for sharing your insights and detailing these exciting new features across Oracle's AI stack. If you'd like to dive deeper into these topics, don't forget to visit mylearn.oracle.com and look for Oracle AI Vector Search Deep Dive course. Until next time, this is Nikita Abraham… Lois: And Lois Houston, signing off! 13:16 That's all for this episode of the Oracle University Podcast. If you enjoyed listening, please click Subscribe to get all the latest episodes. We'd also love it if you would take a moment to rate and review us on your podcast app. See you again on the next episode of the Oracle University Podcast.  

Designing for Excellence: How AI is Transforming Sales Enablement—Insights from Laura FuIn the rapidly evolving world of sales, the integration of artificial intelligence is no longer a futuristic concept—it is a present-day imperative for staying competitive. In a recent episode of The Thoughtful Entrepreneur Podcast, host Josh Elledge sat down with Laura Fu, Head of Revenue Operations and Strategy at DevRev, to discuss the intersection of mechanical engineering, culinary precision, and modern sales strategy. Laura, the author of Designing for Excellence: Sales Enablement in the AI Native World, shares how high-growth organizations can leverage AI to automate the mundane while doubling down on the human elements that actually close complex deals. This episode serves as a strategic roadmap for leaders who want to move beyond the hype and implement AI in a way that truly augments the expertise of their sales professionals.Systems Thinking: Balancing Michelin-Star Rigor with AI VelocitySales enablement is often mischaracterized as a series of disconnected training programs, but true excellence requires treating it as a holistic system that integrates every department from product to marketing. Laura Fu explains that much like a Michelin-star kitchen, a successful sales organization relies on absolute consistency and predictability; every customer interaction must meet a specific brand standard, regardless of which representative is leading the call. By applying "systems thinking," leadership can build repeatable workflows where AI handles the high-velocity, routine tasks—such as call summarization, prospect research, and note-taking—freeing up the human reps to focus on high-value activities like deal qualification and nuanced relationship building. This balance ensures that technology serves as a lever for productivity rather than a crutch that replaces foundational sales skills.The shift toward an AI-native sales environment also demands a fundamental change in leadership engagement and coaching ratios. Effective change management is as much about people as it is about technology, requiring transparent communication to address fears of job displacement while clearly defining where human judgment must remain the final arbiter. Organizations that thrive in this era maintain low rep-to-manager ratios—ideally six or seven to one—to ensure that managers can provide the personalized coaching necessary to interpret the nuances AI might miss, such as tone, context, and unspoken buyer cues. By focusing on leading indicators like the quality of meaningful conversations rather than just lagging revenue metrics, leaders can guide their teams through the discomfort of AI adoption and build a culture of continuous experimentation.Ultimately, future-proofing a sales organization involves establishing strong foundational processes before layering on complex technology. AI moves at the speed of human adoption, meaning that the most advanced tools in the world are useless without a team that is trained to validate AI outputs and prioritize authentic, empathy-based relationships. Leaders must champion this integration by piloting new solutions with small groups, soliciting frontline feedback, and celebrating early wins to build momentum. When AI is used to accelerate research and eliminate administrative debt, it allows the sales force to return to what they do best: building the deep, credible rapport that serves as the bedrock of trust in every high-stakes transaction.About Laura FuLaura Fu is the Head of Revenue Operations and Strategy at DevRev and a seasoned tech leader with an unconventional background in mechanical engineering and culinary arts. Her diverse career path has instilled a unique appreciation for discipline, structure, and creativity in business operations. She is the author of Designing for Excellence: Sales Enablement in the AI Native World and the host of the State of the AI Union podcast, where she explores the impact of artificial intelligence on buyers, sellers, and investors.About DevRevDevRev is an AI-native platform designed to bridge the gap between product development and customer growth. By connecting developers with end-users and sales teams, DevRev helps organizations build more customer-centric products and streamline their revenue operations. The platform leverages advanced AI to provide real-time insights and automate workflows, allowing businesses to scale their excellence while maintaining a deep focus on the customer experience.Links Mentioned in This EpisodeDevRev Official Website: laurafu.aiLaura Fu on LinkedIn: linkedin.com/in/laurazfu/Key Episode HighlightsCulinary Discipline in Sales: Applying the rigor of Michelin-star kitchens to create repeatable, high-quality sales processes.Enablement as a System: Why sales success requires breaking down silos between product, marketing, and sales leadership.Augmenting vs. Replacing: Using AI for research and summarization while keeping human judgment at the center of deal qualification.The Manager's Role in the AI Era: The importance of maintaining a low rep-to-manager ratio for high-impact coaching and nuanced deal oversight.Change Management Strategies: Leading teams through technology adoption by prioritizing transparent communication and experimentation.ConclusionThe conversation with Laura Fu highlights that while AI is fundamentally changing the sales landscape, the core tenets of discipline, consistency, and human empathy remain the primary drivers of success. By treating sales enablement as an integrated system rather than a one-off program, organizations can harness AI to eliminate "busy work" and empower their teams to focus on strategic, high-impact engagement.More from The Thoughtful Entrepreneur

In this episode, Edward Wagoner sits down with Joe Scanlin to explore the foundational role of flooring sensors in the rapidly evolving world of Proptech. Scanlin explains how his background in neuroscience led to the creation of building "brains" that use surface-level data to solve complex challenges like HVAC modulation and unauthorized "tailgating" at security points. The discussion highlights the immediate return on investment found in energy reduction and the long-term value of post-occupancy data for creating neurodiverse and highly utilized workspaces. Listeners will learn how this Department of Energy-backed technology maintains strict data privacy while providing the high-resolution insights necessary to manage modern facilities as dynamic, responsive environments.  This episode is sponsored by TMA Systems! Discover more at https://www.tmasystems.com/ifmapodcast Time Stamps: 00:00 Introduction 01:58 - Defining Proptech Beyond the Buzzwords 03:12 - Top Challenges for Modern Facility Leaders 03:34 - ROI Through Energy Management and Occupant Comfort 04:46 - The Building Knows: Space Utilization Optimization 05:37 - The Science of Floor Sensors: Neuroscience to Smart Surfaces 06:55 - Beyond Movement: Detecting Leaks and Structural Issues 07:58 - Real World Application: HVAC Control and Energy Efficiency 09:23 - Streamlining Maintenance with Smart Data 09:59 - Case Study 11:13 - Augmenting the Facility Manager's Role 12:56 - Safety, Senior Living, and Neurodiversity in Design 14:10 - Implementation Hurdles: Network Coordination and Integration 15:55 - Data Privacy: Preservation and Encryption Standards 17:11 - Future Outlook: The Next Decade of Smart Buildings    Connect with Us:LinkedIn: https://www.linkedin.com/company/ifmaFacebook: https://www.facebook.com/InternationalFacilityManagementAssociation/Twitter: https://twitter.com/IFMAInstagram: https://www.instagram.com/ifma_hq/YouTube: https://youtube.com/ifmaglobalVisit us at https://ifma.org

Cyberattacks on healthcare organizations aren't slowing down — and the question is no longer if you'll be attacked, but how fast you can stop it.In this episode of Health Reimagined, host Jon Myer (Myer Media, powered by Ingram Micro) sits down with Herb from Arctic Wolf to break down what the healthcare threat landscape really looks like today, why even small hospitals are targets, and how AI-powered security operations are changing the game.From managing sprawling, dynamic asset environments to leveraging agentic AI inside the SOC, Herb shares what it actually takes to harden a healthcare organization's security posture — and why just alerting customers to incidents is no longer enough.

Cyberattacks on healthcare organizations aren't slowing down — and the question is no longer if you'll be attacked, but how fast you can stop it.In this episode of Health Reimagined, host Jon Myer (Myer Media, powered by Ingram Micro) sits down with Herb from Arctic Wolf to break down what the healthcare threat landscape really looks like today, why even small hospitals are targets, and how AI-powered security operations are changing the game.From managing sprawling, dynamic asset environments to leveraging agentic AI inside the SOC, Herb shares what it actually takes to harden a healthcare organization's security posture — and why just alerting customers to incidents is no longer enough.

Application volumes have surged in recent years, and many talent acquisition teams are struggling to keep up. Candidates apply and disappear into a black hole, never hearing back, never getting a real chance to show what they can do. When volumes reach into the millions, the traditional recruiting model simply breaks. There aren't enough recruiters to give everyone a fair hearing. Some organisations are now rethinking this entirely, using AI not to replace human decision-making, but to open the door wider than any human team ever could. So what does it actually look like when a company goes AI-first across every stage of hiring? My guest this week is LJ Brock, Chief People Officer at Coinbase. In our conversation, he explains how they've deployed AI across five core areas of recruiting, why they now assess every candidate on AI fluency, their focus on talent density to constantly raise the quality bar, and what hiring will look like in the future. In the interview, we discuss: The shift from volume to quality and value What does talent density mean at Coinbase? AI first recruiting to democratize access to the company Evaluating candidates on AI fluency Human connection in the hiring process Augmenting recruiters, not replacing them. Will all recruiting look like executive search in the future? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify. A full transcript will appear here shortly.

Summary In this episode of the AI for Sales podcast, host Chad Burmeister speaks with Chirag Kulkarni, co-founder and CEO of Hobbes, about the evolving role of AI in sales and customer experience. They discuss how AI is transforming customer interactions, the balance between automation and human touch, and the misconceptions surrounding AI's capabilities. The conversation also touches on emerging technologies, ethical considerations, and the importance of emotional intelligence in sales. Takeaways AI is shifting from automation to augmenting human capabilities. Customers expect software to simplify their tasks. The human element in sales remains crucial despite AI advancements. AI can resolve issues faster, enhancing customer experience. Finding the right balance between AI and human interaction is essential. Misconceptions about AI's intelligence can lead to unrealistic expectations. Humans possess emotional intelligence that AI cannot replicate. Local AI models are set to revolutionize the industry. Transparency in AI interactions fosters trust with customers. Ethical considerations in AI are becoming increasingly important. Chapters 00:00 Introduction to AI in Sales 02:03 The Evolution of Customer Experience with AI 05:28 AI's Role in Onboarding and Customer Retention 09:10 Misconceptions About AI and Its Capabilities 12:48 Balancing AI Automation with Human Touch 16:38 Emerging Technologies in AI 20:09 Ethical Considerations in AI The AI for Sales Podcast is brought to you by BDR.ai, Nooks.ai, and ZoomInfo—the go-to-market intelligence platform that accelerates revenue growth. Skip the forms and website hunting—Chad will connect you directly with the right person at any of these companies.

Introduction What happens when you stop trying to make claims adjusters faster and instead redesign the entire workflow from first notice of loss? Most insurers are layering AI co-pilots on top of legacy processes, but Ravin AI is arguing for something more disruptive: a fully automated claims pipeline that collects evidence, detects fraud, applies business rules, and routes decisions before a human ever touches the file. In this episode, Eliron Ekstein, Co-Founder and CEO of Ravin AI, breaks down how their Ravin Inspect platform automates up to 80% of auto claims, and why the economics of full automation are fundamentally different from incremental efficiency gains. Guest Bio Eliron Ekstein co-founded Ravin AI approximately eight years ago out of Shell Ventures, where he led new business development in Shell's Digital Ventures unit in London. What began as a concept for scanning vehicles at petrol stations has grown into a $35M+ funded insurtech operating across multiple continents. Eliron holds an MBA from London Business School and has spent the past decade digitizing automotive and transportation workflows. Ravin AI now serves insurance carriers, fleets, and remarketing customers globally with its patented DeepDetect technology. Key Topics -Full Automation vs. Co-Pilot Augmentation — Why Ravin's "pilot, not co-pilot" approach delivers fundamentally different economics than AI tools that assist adjusters within existing workflows. -Ravin Inspect: End-to-End Claims Pipeline — How the platform gathers policyholder data, vehicle images, location, speed, and fraud signals upfront to build a complete claim file before human review. -80% Auto-Adjudication Target — The threshold at which automation rewrites carrier unit economics, from staffing models to cycle times to customer satisfaction scores. -Purpose-Built AI vs. Generic GenAI — Why domain-specific computer vision and decision logic outperform general-purpose large language models for claims adjudication. -Integration Without Disruption — Ravin's approach to plugging into existing core systems and claims platforms without requiring carriers to rip and replace. -International Market Entry — Lessons from expanding an Israeli-founded insurtech into the U.S. and Australian markets, including regulatory and go-to-market differences. -Fraud Detection as a Byproduct — How automated evidence collection at FNOL creates a stronger fraud signal than retroactive investigation. Notable Quotes "Our pilot is not a co-pilot — it will run the claim up until the very last minute where you have to give a final approval." — Eliron Ekstein, Co-Founder & CEO, Ravin AI "We can actually gather all the relevant data from you — images, location, speed, fraud detection — and build a complete file that already includes business rules according to which you can settle the claim." — Eliron Ekstein "This is more of a radical approach that results in significant benefits, significant speed." — Eliron Ekstein Resources Guest: Ravin AI: https://www.ravin.ai/ Eliron Ekstein on LinkedIn: https://www.linkedin.com/in/elironekstein/ Host & Organization: Joshua R. Hollander on LinkedIn: https://www.linkedin.com/in/joshuarhollander/ Horton International (USA): https://www.horton-usa.com/ Insurtech Leadership Podcast (LinkedIn Showcase): https://www.linkedin.com/showcase/insurtech-leadership-show Subscribe & Review If you enjoyed this episode, subscribe on your favorite platform and leave a review. The Insurtech Leadership Podcast is available on YouTube, Podbean, Apple Podcasts, and Spotify.

The final instructions for the construction of the Tabernacle are conveyed at the beginning of this week's parsha. After Moshe is told to appoint Bezalel as the head overseer of this enormous project, the Torah cautions us against constructing the tabernacle on Shabbos. Although we are required to build the Tabernacle, and we are inclined […]

The final instructions for the construction of the Tabernacle are conveyed at the beginning of this week's parsha. After Moshe is told to appoint Bezalel as the head overseer of this enormous project, the Torah cautions us against constructing the tabernacle on Shabbos. Although we are required to build the Tabernacle, and we are inclined to be expeditious in the performance of this great mitzvah, nevertheless, we may not do it on Shabbos. When the Torah conveys this to us, the verse seems to have a bit of a superfluous phrasing. These seemingly extra words are explained by the commentaries who open up our eyes to the fascinating and powerful world of augmenting Shabbos. We have the ability to increase the Sabbath. We can take a day that is not the Sabbath and transform it and elevate it and render it Shabbos. The consequences of this radical idea are vast and powerful.– – – – – – – – – – – – – – – – – – – – – –DONATE: Please consider supporting the podcasts by making a donation to help fund our Jewish outreach and educational efforts at https://www.torchweb.org/support.php. Thank you!– – – – – – – – – – – – – – – – – – – – – –NEW TORCH Mailing Address POBox:TORCHPO BOX 310246HOUSTON, TX 77231-0246– – – – – – – – – – – – – – – – – – – – – –Email me with questions, comments, and feedback: rabbiwolbe@gmail.com– – – – – – – – – – – – – – – – – – – – – –SUBSCRIBE to my Newsletterrabbiwolbe.com/newsletter– – – – – – – – – – – – – – – – – – – – – –SUBSCRIBE to Rabbi Yaakov Wolbe's PodcastsThe Parsha PodcastThe Jewish History PodcastThe Mitzvah Podcast This Jewish LifeThe Ethics PodcastTORAH 101 ★ Support this podcast ★

 The Big Unlock · Dr. Andrea Willis, SVP & Chief Medical Officer, BlueCross BlueShield of Tennessee In this episode, Dr. Andrea Willis, SVP and Chief Medical Officer at BlueCross BlueShield of Tennessee, shares how payers can harness AI to advance affordable, accessible, and more human-centered care. From her clinical roots to leading population health, quality, and health equity initiatives, Dr. Willis brings a deeply personal commitment to service. She describes how AI is being deployed across care management and utilization management, not to replace clinicians or deny care, but to augment teams, accelerate evidence-based decisions, and close gaps in care. In care management, AI-powered summarization and prompting help staff stay fully present with members while improving engagement and measurable outcomes. In utilization management, transparency, evidence-based criteria, and clear documentation remain foundational to rebuilding provider trust. She also highlights that relevance matters more than data volume, and that guided self-service must balance automation with timely human escalation. Dr. Willis emphasizes transparency in prior authorization, cross-functional governance, AI literacy goals across the enterprise, and strong PHI protections. For here, scaling AI responsibly – through interoperability, collaboration, and measurable impact – is key to rebuilding trust and transforming the healthcare experience. Take a listen.

In "Inside the DAT - Convoy Platform Deal: What This Acquisiton Means for the Freight Market", Joe Lynch and Bill Driegert, EVP of Convoy Platform - DAT Freight & Analytics, discuss how the integration of the Convoy Platform's automation and AI technology with DAT's massive freight marketplace will help brokers combat fraud, increase efficiency, and focus on high-value work. About Bill Driegert Bill Driegert is the EVP of Convoy Platform at DAT Freight & Analytics. He was previously the EVP of Trucking at Flexport and the co-founder and Head of Operations at Uber Freight, Uber's logistics business. Bill began his career in freight as the fourth employee at Coyote Logistics (acquired by UPS), where he grew the role to Chief Innovation Officer. Prior to joining Uber, he served as COO at Pillow Homes. He also spent time at Amazon as Director of Planning and Innovation. Bill holds an M.A. in Supply Chain from MIT, an M.B.A. from the University of Chicago, and a B.A. from Southern Methodist University. About DAT Freight & Analytics DAT Freight & Analytics operates the DAT One truckload freight marketplace; Convoy Platform, an automated freight-matching technology; DAT iQ analytics service; Trucker Tools load-visibility platform; and Outgo factoring and financial services for truckers. Shippers, transportation brokers, carriers, news organizations, and industry analysts rely on DAT for market trends and data insights, informed by nearly 700,000 daily load posts and a database exceeding $1 trillion in freight market transactions. Founded in 1978, DAT is a business unit of Roper Technologies (Nasdaq: ROP), a constituent of the Nasdaq 100, S&P 500, and Fortune 1000. Headquartered in Beaverton, Oregon, DAT continues to set the standard for innovation in the trucking and logistics industry. Visit dat.com for more information. Key Takeaways: Inside the DAT - Convoy Platform Deal: What This Acquisiton Means for the Freight Market In "Inside the DAT - Convoy Platform Deal: What This Acquisiton Means for the Freight Market", Joe Lynch and Bill Driegert, EVP of Convoy Platform - DAT Freight & Analytics, discuss how the integration of the Convoy Platform's automation and AI technology with DAT's massive freight marketplace will help brokers combat fraud, increase efficiency, and focus on high-value work. Solving Major Brokerage Challenges: The acquisition of the Convoy Platform is a strategic move by DAT to help freight brokers tackle significant industry challenges like fraud, the need for increased automation, and the integration of AI. Automation for Efficiency: By integrating the Convoy Platform, DAT aims to automate routine tasks, which will allow brokers to dedicate more time to complex, high-value work, such as building relationships with clients and carriers. Enhanced Fraud Prevention: The deal combines the Convoy Platform's advanced, machine-learning-powered fraud prevention technology with DAT's extensive network and data. This fusion is intended to create a safer and more secure environment for freight transactions. Augmenting the DAT One Platform: The Convoy technology will be incorporated into DAT's flagship product, DAT One. This integration will offer brokers and carriers new automated capabilities while ensuring that the core, familiar functions of the load board remain unchanged. Leveraging Bill Driegert's Expertise: Bill Driegert's background, including his leadership roles at Uber Freight and Coyote Logistics, is a crucial asset for DAT. His experience as a technologist and innovator in the freight industry is key to the successful integration and future development of the Convoy Platform. The Practical Role of AI: The interview clarifies that AI is not just a buzzword but a practical tool for improving freight operations. The technology will be used to enhance decision-making, optimize processes, and increase overall efficiency for the brokers DAT serves. Building a Comprehensive Ecosystem: The Convoy acquisition is part of a larger plan to unify DAT's recent acquisitions, including Trucker Tools and Outgo. The goal is to create a complete, integrated ecosystem that provides solutions for everything from freight matching and payment processing to carrier tracking and automation. Learn More About Inside the DAT - Convoy Platform Deal: What This Acquisiton Means for the Freight Market Bill Driegert | Linkedin DAT Freight & Analytics | Linkedin DAT DAT - Convoy Platform Convoy Platform - DAT DAT + The Convoy Platform: A new chapter in our marketplace evolution Infographic: Modernize your brokerage MIT Center for Transportation and Logistics with Chris Caplice Navigating Market Uncertainty with Sarah Bertram A Trillion Dollars in Freight Transactions with Ken Adamo DAT iQ: The Metrics that Matter with Samuel Parker Taking the Uncertainty and Risk Out of Freight with Erika Voss The Logistics of Logistics Podcast If you enjoy the podcast, please leave a positive review, subscribe, and share it with your friends and colleagues. The Logistics of Logistics Podcast: Google, Apple, Castbox, Spotify, Stitcher, PlayerFM, Tunein, Podbean, Owltail, Libsyn, Overcast Check out The Logistics of Logistics on Youtube

Today we have Dr. Francisco Gonzalez-Lima, a behavioral neuroscientist who was our guest in episodes 106 and 107 back in 2020. Since those 2020 interviews, Francisco and his colleagues at the Gonzalez-Lima Lab have produced dozens of more studies and papers that have advanced their work on methylene blue, transcranial lasers, memory enhancement, neuroprotection and neurocognitive disorders. Francisco and his lab at the University of Texas Austin are recognized as world leaders for their research on the relationships between brain energy metabolism, memory and neurobehavioral disorders. In today's interview, we talk to Francisco about his lab's most recent research on the beneficial neurocognitive and emotional effects of noninvasive human brain stimulation in healthy, aging and mentally ill populations. This research primarily uses transcranial infrared laser stimulation and multimodal imaging, which we will discuss in today's interview. Be sure to check out our earlier interviews with Francisco where he talked aobut his work on brain metabolic mapping and Alzheimer's, episode 106, and his research into methylene blue and near-infrared light as therapies for cognitive disorders, episode 107. Show notes: [00:04:32] Dawn and Ken open our interview with Francisco by mentioning that his lab has been very productive pursuing new research avenues since he was last on STEM-Talk. Ken mentions that Francisco has recently begun collaborating with his sister who has a PhD in computational and applied mathematics and asks Francisco to talk about the work they're doing together. [00:06:21] Dawn shifts to talk about the roadblocks that Francisco and his team have been dealing with, particularly that the review process for academic papers is unusually slow, not just for Francisco's team but at large. Dawn asks Francisco to discuss this issue. [00:10:37] Dawn recaps that in our previous interview with Francisco in 2020, the discussion focused on his research into methylene blue, which has been primarily used to treat methemoglobinemia, however, the potential for methylene blue to treat declining cognitive function is an active area of research. Despite Francisco's successful work with methylene blue, he often gets asked about its safety, largely due to various misconceptions. Dawn asks Francisco to talk about the misconceptions about methylene blue. [00:14:57] Ken asks if Francisco what some other misconceptions about methylene blue are. [00:20:43] Given the discussion of dosing, Ken asks Francisco what the safe dose range is for methylene blue in humans. [00:28:15] Ken mentions an article published a few months ago titled “Beyond plaques: How methylene blue and ketones address vascular hypometabolism in Alzheimer's disease” Ken goes on to mention that the article did a good job of summarizing Francisco's work as well as the work of Steve Cunnane, who was our guest on episode 59. Ken asks Francisco to discuss his thoughts on the article. [00:34:25] Dawn shifts focus to discuss Francisco's work on photobiomodulation, specifically transcranial infrared laser stimulation, which is a non-invasive method for neuroprotection and cognitive enhancement. Dawn explains that Francisco has written two chapters on this topic that summarizes his work in the area, one of which appeared in the Oxford handbook on transcranial stimulation, and the other is in a book on augmentation of brain function, based on a series of presentations he gave in Switzerland. Dawn asks Francisco to give a broad overview of his work on photobiomodulation and transcranial infrared laser stimulation. [00:43:52] Ken asks Francisco to talk about a paper titled “Light buckets and laser beams” that he and other researchers composed after attending a photobiomodulation workshop convened in 2023 by the director of the National Institute on Aging and several NIH lab directors. [00:51:25] Ken asks Francisco if there are any commercially available photobiomodulation devices that he thinks have substantial utility. [00:56:27] Ken asks Francisco to discuss mitochondrial disfunction in the context of neurodegeneration and his work on targeted stimulation of the mitochondria with photo biomodulation. [01:06:58] Ken asks Francisco to talk about the potential benefits of photobiomodulation on the aging process outside of neurodegenerative conditions. [01:17:16] Dawn mentions that transcranial infrared stimulation stimulates prefrontal energy metabolism and oxygenation, which produces cognitive enhancing effects. Dawn goes on to ask Francisco about his recent paper exploring this phenomenon in the context of depression titled “Augmenting internet based cognitive behavioral therapy for major depressive disorder with transcranial infrared laser stimulation.” [01:23:08] In light of the promising results of this study, Ken asks Francisco what he sees as the next research step to further this progress. [01:30:15] Ken comments on how Francisco has not only had great accomplishments in his recent research but also has a lot of fruitful opportunities ahead. [01:31:07] Ken asks Francisco if he has looked at photobiomodulation in combination with transcutaneous vagal nerve stimulation. [01:34:28] Ken mentions that for listeners interested in learning more about vagal nerve stimulation they can listen to episodes 179 with JP Erico, and 172 with Kevin Tracey. Francisco discusses the difficulty in knowing whether to attribute effects of vagus nerve stimulation to stimulation of the vagus nerve itself or incidental stimulation of the carotid artery … or some combination. [01:38:33] Ken mentions that Francisco is now trying to move away from animal studies and focus more on human studies. Ken asks what human trials he is hoping to conduct. [01:42:27] Dawn closes our interview thanking Francisco for once again joining us on STEM-Talk. Links: Gonzalez-Lima Lab Learn more about IHMC STEM-Talk homepage Ken Ford bio Ken Ford Wikipedia page Dawn Kernagis bio    

Matt Ezyk has decades of experience building, scaling and leading digital commerce technology and strategy at some of the most innovative companies in the world. Matt serves as Senior Director of Engineering, Ecommerce at Hanna Andersson which is a leading direct-to-consumer premium children's apparel and lifestyle brand. Prior to joining Hanna Andersson, he led digital at Pet Supermarket with oversight of product and engineering. Additionally he served as Director of Functional Architecture and Director of PMO at RafterOne (f/k/a PixelMedia) with operational oversight of teams working with iconic brands like Skechers and LL Bean. Matt also served in progressive leadership roles at Accenture, Merkle (f/k/a LiveArea) and several startups working with hundreds of global brands like Uniqlo, Disney, Revlon, Tapestry and many more. Matt brings to retailers and DTC brands a deep expertise in developing and implementing diverse end-to-end commerce strategies. In This Conversation We Discuss: [00:00] Intro[00:24] Sponsor: Taboola[01:41] Connecting tech decisions to business growth[04:36] Comparing agency and brand-side perspectives[07:24] Sponsor: Next Insurance[08:37] Delivering progress customers can feel[09:58] Choosing platforms based on business maturity[13:03] Callouts[13:13] Auditing tech to recover lost conversions[15:31] Reducing redundancy to improve performance[17:47] Evaluating third-party tools for value[19:36] Sponsor: Electric Eye[20:44] Improving conversion with UX and engineering[22:25] Augmenting team expertise with AI tools[27:46] Balancing speed with long-term scalabilityResources:Subscribe to Honest Ecommerce on YoutubeKids clothes from playtime to bedtime hannaandersson.com/Follow Matt Ezyk linkedin.com/in/mezykReach your best audience at the lowest cost! discover.taboola.com/honest/Easy, affordable coverage that grows with your business nextinsurance.com/honest/Schedule an intro call with one of our experts electriceye.io/connectIf you're enjoying the show, we'd love it if you left Honest Ecommerce a review on Apple Podcasts. It makes a huge impact on the success of the podcast, and we love reading every one of your reviews!

(00:00) — The first spark: Dr. Gray asks when medicine became real.(01:34) — Military plans, cold feet, and choosing community college: He skips the Air Force and starts at McDonald's while exploring options.(02:50) — Hospital volunteering clicks: Serving patients water and meals feels right.(03:57) — Dodging family careers, then trying healthcare: After business, HVAC, and computer science, healthcare gets a look.(05:03) — PA vs MD crossroads: Realizing his reasons for PA pointed to wanting to be a physician—and surgery.(06:35) — Work ethic and upbringing: Family moves from a tough neighborhood shaped his drive.(09:41) — Early C's and the “not a science person” myth: Motivation and maturity change outcomes.(11:28) — Six-year undergrad and the pivot: Business transfer degree to UMBC biology and honors in philosophy.(13:12) — Why gap years: YouTube guidance, mentors, research, and phlebotomy.(15:36) — Inside admissions at Brown: The competition he witnessed.(16:36) — What likely stood out to Brown: Authentic story, first-gen identity, jobs, and solid metrics.(18:09) — Getting personal in the personal statement: Why vulnerability matters.(19:57) — One-and-done and the gift of virtual interviews: COVID made it financially possible.(21:48) — Will AI end virtual interviews?: Concerns about cheating and tech trust.(24:34) — AI in the OR and pathology: Augmenting surgeons and decoding tumors.(25:30) — The first interview invite memory: Relief and pride in the lab.(27:06) — If he could change admissions: Predicting academic success and centering people over scores.(29:03) — Transparency, the MCAT, and US News incentives: How rankings skew behavior.(33:09) — Final words to struggling premeds: Your timeline is your own—keep going.Ryland didn't grow up planning on medicine. After high school, he nearly joined the Air Force, worked at McDonald's, and enrolled at community college to explore paths—from business and HVAC to computer science. Hospital volunteering felt different. He became a phlebotomist, considered PA school, and then realized the reasons drawing him to PA actually pointed to becoming a physician—with a strong pull toward surgery.It wasn't linear. Early C's in science and a six-year undergraduate path (business transfer to UMBC biology with honors in philosophy) forced him to confront the “not a science person” label. With time, maturity, and motivation, he turned it around, took two gap years for research and service, leaned heavily on YouTube guidance, and sought mentors who helped shape his essays and application strategy.Ryland shares why he aimed for a one-and-done application, how virtual interviews during COVID made that possible, and what it felt like to see his first interview invite. He reflects on serving on Brown's admissions committee, what authentic stories communicate beyond metrics, and why getting personal matters. Plus, a candid discussion on AI's impact on interviews and training, the perverse incentives of rankings, and his message to premeds: your timeline is your own—and you can do this.What You'll Learn:- How to pivot after early C's and reframe the “not a science person” myth- Deciding PA vs MD by clarifying what truly draws you to patient care- Using community college, gap years, and mentoring to strengthen your application- What admissions values beyond MCAT and GPA—and why authenticity matters- How AI and rankings may shape interviews and the premed landscape

In this episode, we explore a head-to-head comparison of lithium versus quetiapine augmentation for treatment-resistant depression. When patients have failed multiple antidepressants, which augmentation strategy offers the best balance of efficacy and tolerability? We examine real-world data tracking symptom burden and side effects over an entire year. Faculty: Paul Zarkowski, M.D. Host: Richard Seeber, M.D. Learn more about our membership here Earn 0.75 CMEs: Quick Take Vol. 76 Treatment-Resistant Depression: Lithium vs. Quetiapine for Augmentation?

The post Diyi Yang on augmenting capabilities and wellbeing, levels of human agency, AI in the scientific process, and the ideation-execution gap (AC Ep24) appeared first on Humans + AI.

What if your security team never missed a single alert and actually had time to think strategically? In this episode, Ahmed Achchak, CEO and Co-Founder of Qevlar AI, reveals how autonomous SOCs are reshaping security operations worldwide. From tackling alert fatigue to empowering analysts with intelligent AI-driven investigations, Ahmed shares the inside story of building a system that can act on threats faster than any human alone. Learn how Qevlar's innovative approach is giving organizations clarity, control, and measurable ROI while freeing security teams to focus on what truly matters. Impactful Moments 00:00 - Introduction 01:30 - Founding Qevlar AI by chance 03:30 - Inefficiency of current SOCs 05:00 - Augmenting analysts, not replacing them 08:00 - AI investigating alerts at scale 11:30 - How autonomous agents handle phishing 14:30 - Why tackling all alerts maximizes ROI 17:30 - Graph technology as investigation backbone 25:00 - Limitations and randomness of LLMs 30:30 - Advice for testing AI in SOCs Links Connect with our guest Ahmed on LinkedIn: https://www.linkedin.com/in/ahmed-achchak-872554109/   Check out Qevlar's website: https://www.qevlar.com/   Check out our upcoming events: https://www.hackervalley.com/livestreams Join our creative mastermind and stand out as a cybersecurity professional: https://www.patreon.com/hackervalleystudio Love Hacker Valley Studio? Pick up some swag: https://store.hackervalley.com Continue the conversation by joining our Discord: https://hackervalley.com/discord Become a sponsor of the show to amplify your brand: https://hackervalley.com/work-with-us/    

In today's technology landscape, management as a skill is becoming more complex as teams become larger & managers must navigate the balance between relationships and strategic execution. So how can AI tools help managers level up their game? Jonathan Raymond (Founder & CEO @ Ren) shares insights that can help managers navigate their modern-day invisible cognitive loads. We cover how AI can be used to enhance – not replace – inherently human skillsets, the three components that make up an effective manager / employee relationship, product-building principles for building relational systems, and using AI to guide rather than provide concrete answers.ABOUT JONATHAN RAYMONDJonathan Raymond is the CEO at Refound and author of the award winning book, Good Authority. In 2018, he was named one of Inc. Magazine's top 100 leadership speakers. Refound trains leaders how to give effective feedback and create a culture of accountability. The former CEO of EMyth, Jonathan has led business transformation projects in technology, renewable energy, and the coaching industry. He's a half-decent barista, a bad-but-enthusiastic surfer, and will never give up on the New York Knicks.SHOW NOTES:Jonathan's perspective on the impossible cognitive load & colliding pressures of modern managers (2:31)The complicated workflow it takes to be a great manager (6:05)“Field Intelligence” and the need to ingest non-technical data such as (mood, sentiment, and alignment) to make better leadership decisions (9:52)The managerial matrix: high/low performers and the 10-person team that feels like 50 (12:46)The cost of mismanaging your team & why it's so easy to get it wrong (16:02)What's uniquely human vs. where AI provides leverage (18:01)AI's role: detecting signal and prompting human reflection (21:04)The “Growth Loop”: a 3-part system for effective leadership (27:20)Incorporating AI tools to enhance the manager / employee relationship (31:20)The future vision: an “in-ear” AI coach that closes the gap between learning and applying (33:09)Closing the gap between learning a new skill & it becoming an unconscious habit (35:59)Product Principle: Building a “Relational System,” not just a task manager (37:49)Product Principle: Why an AI coach must ask questions, not provide answers (40:50)How to harness AI tools for better emotional articulation / processing (45:11)A simple behavioral change to try this week (47:58)Rapid fire questions (49:57)LINKS AND RESOURCESGood Authority: How to Become the Leader Your Team is Waiting For - Jonathan's book in which he brings together what he has learned over a twenty-year journey as an executive, entrepreneur, team leader and leadership trainer.Entangled Life: How Fungi Make Our Worlds, Change Our Minds & Shape Our Futures - Merlin Sheldrake explores the spectacular and neglected world of fungi: endlessly surprising organisms that sustain nearly all living systems.Jonathan's session at ELC Annual 2025This episode wouldn't have been possible without the help of our incredible production team:Patrick Gallagher - Producer & Co-HostJerry Li - Co-HostNoah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/Dan Overheim - Audio Engineer, Dan's also an avid 3D printer - https://www.bnd3d.com/Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode, Ashish Vinod Singh, Senior Director & Head of ERP at Sunrun, joins Khushboo Bajaj to explore how AI is transforming the future of work, not by replacing humans, but by augmenting human capability. They discuss the evolution of AI from data science experiments to enterprise-ready systems, how leaders can balance automation with empathy, and why the real ROI of AI lies in empowering people to do more meaningful work. Key Highlights -  + Why culture and context matter in AI adoption + Balancing efficiency with empathy in digital transformation + The shift from automation to augmentation in enterprise AI + The evolving partnership between humans and intelligent systems This conversation is a must-listen for leaders shaping the next frontier of intelligent enterprises. Tune in now and discover how to lead in the age of augmented intelligence.

In this episode, host Jonathan Overall speaks with Brandon Tigges, CEO and Co-Founder of Job Machine, an AI-powered platform transforming how workforce organizations place people in jobs. Recorded live at the CWA Meeting of the Minds Conference in Monterey, they explore how Job Machine automates key parts of the job search—creating resumes, applying to positions, scheduling interviews—so career services teams can focus on human connection rather than data entry. Brandon shares how AI can augment, not replace, workforce professionals, the impressive placement results achieved with partners like Goodwill Southern California, and his company's big, audacious goal: making it possible for any American who wants a job to get one.

AI-Powered Canvases: The Future of Visual Collaboration and InnovationAs hybrid and remote work become the standard, organizations are rethinking how teams brainstorm, align, and innovate. Traditional whiteboards and digital tools often fall short in keeping pace with today's complex business challenges. This is where AI-powered canvases are transforming visual collaboration.In this episode of Tech Transformed, Kevin Petrie, VP of Research at BARC, joins Elaina O'Mahoney, Chief Product Officer at Mural, to explore how AI collaboration tools are reshaping teamwork in off-site locations. From customer journey mapping to process design, AI-powered canvases give teams the ability to visualize ideas, surface insights faster, and make better decisions—while keeping human creativity at the centre.AI-Powered Canvases, Visuals, and CollaborationA central theme in the conversation is the distinction between automation and augmentation. While AI can recommend activities, map processes, and identify participation patterns, decision-making remains a human responsibility.As O'Mahoney explains:“In the Mural canvas experience, we're looking to draw out the ability of a skilled facilitator and give it to participants without them having to learn that skill over the years.”This balance ensures that while AI-powered canvases streamline collaboration, teams still rely on human judgment, creativity, and contextual knowledge. One of the most powerful contributions is in AI-driven visuals, which can translate raw data or unstructured input into clear diagrams, journey maps, or process flows. These visuals not only accelerate understanding but also help teams spot gaps and opportunities more effectively.For example:In customer journey mapping, AI can quickly generate visual flows that highlight pain points and opportunities that would take much longer to uncover manually.In manufacturing, AI-powered canvases can create dynamic visuals of workflows, showing how new technologies might disrupt established processes.The Role of Visual Tools in Hybrid WorkIn blended work environments, teams often lack the in-person cues that guide effective collaboration. Visual canvases bring those cues into the digital workspace, showing where ideas are concentrated, highlighting gaps in participation, and enabling alignment across dispersed teams. By combining intuitive design with AI-driven support, platforms like Mural help organisations adapt to the demands of hybrid work while keeping human creativity at the centre.TakeawaysAI is reshaping visual collaboration in distributed teams.Visual elements enhance understanding and decision-making.AI can augment workflows but requires human oversight.There is no universal playbook for AI integration in businesses.Hybrid work necessitates effective digital collaboration tools.AI can help visualize complex customer experiences.Human intuition and creativity remain essential in AI applications.Training and guidance are crucial for effective AI use.Collaboration tools must adapt to diverse work environments.AI should be seen as a partner in the creative process.Chapters00:00 The Evolution of Visual Collaboration05:15 Augmenting vs Automating: The Role of AI10:36...

This week's guests are Samir and Kunal from Farsight. Farsight is transforming how financial firms operate by automating the most time-consuming parts of dealmaking, from drafting pitch decks to generating investment insights, in seconds instead of weeks.We dive into Samir's journey from Wall Street to building Farsight, and why AI is reshaping the workflows at the heart of finance. We cover how power users are creating entire pitchbooks in minutes, how firms leveraging Farsight are winning more deals and sharpening pricing strategies, and why owning the full workflow is the key to lasting advantage. We also discuss their approach to high-sensitivity use cases, where models are deployed directly into customer environments and tuned for bespoke needs.Episode Chapters:2:02 - CS at MIT5:30 - The catalyzing factor10:36 - Agents to automate financial services13:20 - Your new PE analyst16:30 - Owning the workflow19:25 - Selling to banks 21:45 - Build vs buy25:20 - Foundation models & frameworks31:27 - Becoming a manager34:10 - Fundraising advice36:40 - Augmenting junior analysts41:00 - How AI teaches us to work 42:25 - Quick fire roundAs always, feel free to contact us at partnerpathpodcast@gmail.com. We would love to hear ideas for content, guests, and overall feedback.This episode is brought to you by Grata, the world's leading deal sourcing platform. Our AI-powered search, investment-grade data, and intuitive workflows give you the edge needed to find and win deals in your industry. Visit grata.com to schedule a demo today.Fresh out of Y Combinator's Summer batch, Overlap is an AI-driven app that uses LLMs to curate the best moments from podcast episodes. Imagine having a smart assistant who reads through every podcast transcript, finds the best parts or parts most relevant to your search, and strings them together to form a new curated stream of content - that is what Overlap does. Podcasts are an exponentially growing source of unique information. Make use of it! Check out Overlap 2.0 on the App Store today.

"Good entrepreneurs fall in love with their solution and their platform, but great entrepreneurs fall in love with the problem." - Matt ScovilMatt Scovil and Nathan Gilchrist of Medefy Health, have fallen in love with one of the biggest problems in benefits: nobody wants to engage with them. They joined the show to discuss their journey of building a platform designed to solve the engagement crisis and simplify the healthcare experience for everyone.Matt and Nathan break down their "bottoms-up" approach to this problem, which focuses on engaging members when they need help through a high-touch, live support model delivered via mobile app. We discuss how they use the psychology of "loss aversion" and constant communication to drive engagement rates over 90%.We also explore how Medefy acts as the "quarterback" for a health plan, removing friction by navigating members to the right solutions. This is all part of their vision for the future of healthcare, where the experience is "heavily, heavily individualized" for each person.Chapters:(00:00:00) Why Employees Would Rather Clean a Toilet Than Use Their Benefits (00:04:18) Cleaning a Toilet vs. Learning Your Benefits (00:08:46) Falling in Love with the Problem, Not the Solution (00:14:23) The Power of Live, Human Support (00:19:08) Using "Loss Aversion" to Drive Engagement (00:34:54) The Quarterback for Your Health Plan (00:47:57) How AI is Augmenting the Human Touch (01:00:01) The Future of Healthcare is "Individualized"Key Links for Social:@SelfFunded on YouTube for video versions of the podcast and much more - https://www.youtube.com/@SelfFundedListen/watch on Spotify - https://open.spotify.com/show/1TjmrMrkIj0qSmlwAIevKA?si=068a389925474f02Listen on Apple Podcasts - https://podcasts.apple.com/us/podcast/self-funded-with-spencer/id1566182286Follow Spencer on LinkedIn - https://www.linkedin.com/in/spencer-smith-self-funded/Follow Spencer on Instagram - https://www.instagram.com/selffundedwithspencer/

"Good entrepreneurs fall in love with their solution and their platform, but great entrepreneurs fall in love with the problem." - Matt ScovilMatt Scovil and Nathan Gilchrist of Medefy Health, have fallen in love with one of the biggest problems in benefits: nobody wants to engage with them. They joined the show to discuss their journey of building a platform designed to solve the engagement crisis and simplify the healthcare experience for everyone.Matt and Nathan break down their "bottoms-up" approach to this problem, which focuses on engaging members when they need help through a high-touch, live support model delivered via mobile app. We discuss how they use the psychology of "loss aversion" and constant communication to drive engagement rates over 90%.We also explore how Medefy acts as the "quarterback" for a health plan, removing friction by navigating members to the right solutions. This is all part of their vision for the future of healthcare, where the experience is "heavily, heavily individualized" for each person.Chapters:(00:00:00) Why Employees Would Rather Clean a Toilet Than Use Their Benefits (00:04:18) Cleaning a Toilet vs. Learning Your Benefits (00:08:46) Falling in Love with the Problem, Not the Solution (00:14:23) The Power of Live, Human Support (00:19:08) Using "Loss Aversion" to Drive Engagement (00:34:54) The Quarterback for Your Health Plan (00:47:57) How AI is Augmenting the Human Touch (01:00:01) The Future of Healthcare is "Individualized"Key Links for Social:@SelfFunded on YouTube for video versions of the podcast and much more - https://www.youtube.com/@SelfFundedListen/watch on Spotify - https://open.spotify.com/show/1TjmrMrkIj0qSmlwAIevKA?si=068a389925474f02Listen on Apple Podcasts - https://podcasts.apple.com/us/podcast/self-funded-with-spencer/id1566182286Follow Spencer on LinkedIn - https://www.linkedin.com/in/spencer-smith-self-funded/Follow Spencer on Instagram - https://www.instagram.com/selffundedwithspencer/

In “Inside the DAT - Convoy Platform Deal: What This Acquisiton Means for the Freight Market”, Joe Lynch and Bill Driegert, EVP of Convoy Platform - DAT Freight & Analytics, discuss how the integration of the Convoy Platform's automation and AI technology with DAT's massive freight marketplace will help brokers combat fraud, increase efficiency, and focus on high-value work. About Bill Driegert Bill Driegert is the EVP of Convoy Platform at DAT Freight & Analytics. He was previously the EVP of Trucking at Flexport and the co-founder and Head of Operations at Uber Freight, Uber's logistics business. Bill began his career in freight as the fourth employee at Coyote Logistics (acquired by UPS), where he grew the role to Chief Innovation Officer. Prior to joining Uber, he served as COO at Pillow Homes. He also spent time at Amazon as Director of Planning and Innovation. Bill holds an M.A. in Supply Chain from MIT, an M.B.A. from the University of Chicago, and a B.A. from Southern Methodist University. About DAT Freight & Analytics DAT Freight & Analytics operates the DAT One truckload freight marketplace; Convoy Platform, an automated freight-matching technology; DAT iQ analytics service; Trucker Tools load-visibility platform; and Outgo factoring and financial services for truckers. Shippers, transportation brokers, carriers, news organizations, and industry analysts rely on DAT for market trends and data insights, informed by nearly 700,000 daily load posts and a database exceeding $1 trillion in freight market transactions. Founded in 1978, DAT is a business unit of Roper Technologies (Nasdaq: ROP), a constituent of the Nasdaq 100, S&P 500, and Fortune 1000. Headquartered in Beaverton, Oregon, DAT continues to set the standard for innovation in the trucking and logistics industry. Visit dat.com for more information. Key Takeaways: Inside the DAT - Convoy Platform Deal: What This Acquisiton Means for the Freight Market In “Inside the DAT - Convoy Platform Deal: What This Acquisiton Means for the Freight Market”, Joe Lynch and Bill Driegert, EVP of Convoy Platform - DAT Freight & Analytics, discuss how the integration of the Convoy Platform's automation and AI technology with DAT's massive freight marketplace will help brokers combat fraud, increase efficiency, and focus on high-value work. Solving Major Brokerage Challenges: The acquisition of the Convoy Platform is a strategic move by DAT to help freight brokers tackle significant industry challenges like fraud, the need for increased automation, and the integration of AI. Automation for Efficiency: By integrating the Convoy Platform, DAT aims to automate routine tasks, which will allow brokers to dedicate more time to complex, high-value work, such as building relationships with clients and carriers. Enhanced Fraud Prevention: The deal combines the Convoy Platform's advanced, machine-learning-powered fraud prevention technology with DAT's extensive network and data. This fusion is intended to create a safer and more secure environment for freight transactions. Augmenting the DAT One Platform: The Convoy technology will be incorporated into DAT's flagship product, DAT One. This integration will offer brokers and carriers new automated capabilities while ensuring that the core, familiar functions of the load board remain unchanged. Leveraging Bill Driegert's Expertise: Bill Driegert's background, including his leadership roles at Uber Freight and Coyote Logistics, is a crucial asset for DAT. His experience as a technologist and innovator in the freight industry is key to the successful integration and future development of the Convoy Platform. The Practical Role of AI: The interview clarifies that AI is not just a buzzword but a practical tool for improving freight operations. The technology will be used to enhance decision-making, optimize processes, and increase overall efficiency for the brokers DAT serves. Building a Comprehensive Ecosystem: The Convoy acquisition is part of a larger plan to unify DAT's recent acquisitions, including Trucker Tools and Outgo. The goal is to create a complete, integrated ecosystem that provides solutions for everything from freight matching and payment processing to carrier tracking and automation. Learn More About Inside the DAT - Convoy Platform Deal: What This Acquisiton Means for the Freight Market Bill Driegert | Linkedin DAT Freight & Analytics | Linkedin DAT DAT - Convoy Platform Convoy Platform - DAT DAT + The Convoy Platform: A new chapter in our marketplace evolution Infographic: Modernize your brokerage MIT Center for Transportation and Logistics with Chris Caplice Navigating Market Uncertainty with Sarah Bertram A Trillion Dollars in Freight Transactions with Ken Adamo DAT iQ: The Metrics that Matter with Samuel Parker Taking the Uncertainty and Risk Out of Freight with Erika Voss The Logistics of Logistics Podcast If you enjoy the podcast, please leave a positive review, subscribe, and share it with your friends and colleagues. The Logistics of Logistics Podcast: Google, Apple, Castbox, Spotify, Stitcher, PlayerFM, Tunein, Podbean, Owltail, Libsyn, Overcast Check out The Logistics of Logistics on Youtube

The post Suranga Nanayakkara on augmenting humans, contextual nudging, cognitive flow, and intention implementation (AC Ep16) appeared first on Humans + AI.

Throwback Thursday! Augmenting the Reality of Education Through Immersive Experiences featuring Dr. Alfonso MendozaOriginally Released On: 2-25-2022This week, we're revisiting one of our timeless episodes from Leading Out The Woods! In this episode:✅ Dr. Mendoza shares why ARVR in Education helps increase student engagement and instruction.✅ Dr. Mendoza discusses where he sees the future of education headed with this technology.Whether you're hearing it for the first time or revisiting a classic, this conversation is packed with insights that still resonate today.

On this episode of #TheShot of #DigitalHealth Therapy, Jim Joyce and I freeze time (and nearly our toes) with the extraordinary Dr Jack Kreindler -longevity doctor, tech founder, and Antarctic explorer. This is only our second-ever long-form episode, and we couldn't be more honored to have Jack join us for it. From designing UX with Douglas Adams to running diagnostics in sub-zero temperatures, Jack shares wisdom at the intersection of tech, healthspan, and philosophy. Yes, there's creatine. Yes, there's metaphysics. And yes, you'll want to rethink your bedtime and your bucket list. It's a ride through resilient humans, wild biohacks, and the hilarious humility of medicine in the age of AI. Dont miss this episode: Fun mentions as always: Daniel Kraft, MD Jordan Shlain, MD Peter H. Diamandis ☀️Maneesh Juneja Vishal Gulati 00:00:00 - Jack's origin story: From tech to medicine 00:05:00 - UX with Douglas Adams & first tech ventures 00:12:00 - Founding CHHP & insights into performance science 00:21:00 - Commitment, coaching, and who makes it through 00:30:00 - The biohacking movement: Hope, hype, and hazards 00:41:00 - The pursuit of longevity vs acceptance of death 00:49:00 - Preventive diagnostics & experience design (Neko, Echo) 00:58:00 - AI in medicine: Augmenting empathy & reducing burnout 01:06:00 - WellFounded & experiential medicine adventures 01:18:00 - South Pole expedition & commencement reflections

The post Matt Lewis on augmenting brain capital, AI for mental health, neurotechnology, and dealing in hope (AC Ep8) appeared first on Humans + AI.

Kate O'Neill discusses the impact of AI and automation on business and human flourishing in her latest book, "What Matters Next." She introduces the concept of a now-next continuum, which helps leaders navigate the uncertainty of the future by connecting past knowledge with present realities and future possibilities. This framework aims to empower decision-makers to make coherent choices amidst the chaos of rapid technological advancement and cultural acceleration.O'Neill emphasizes the importance of viewing AI not merely as a tool for automation but as a means of augmenting human capabilities. She acknowledges the fears surrounding automation but argues that many applications of AI can enhance efficiency and effectiveness in the workplace. By shifting the focus from job elimination to task augmentation, organizations can leverage AI to improve workflows and foster a more human-centric approach to work.An example O'Neill shares involves a utility company in Latin America that successfully implemented conversational AI to enhance customer service. Rather than solely focusing on cost-cutting, the company aimed to improve customer satisfaction metrics. By allowing human operators to access information quickly through AI, they were able to provide better service while also upskilling employees for new roles within the organization.Finally, O'Neill highlights the significance of data in decision-making, framing it as a representation of human interactions and relationships. She advocates for a human-centric approach to data collection and analysis, ensuring that organizations use data to make smarter, more empathetic decisions. By aligning technology with meaningful human outcomes, businesses can navigate the complexities of the modern landscape while prioritizing the well-being of their customers and employees. All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want to be a guest on Business of Tech: Daily 10-Minute IT Services Insights? Send Dave Sobel a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/businessoftech Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessof.tech

Last week, in part 1 of our two-part series on using AI in resilience, we talked about using AI for building human capabilities in our programs. This week, we dig deeper and talk about how AI can help us with training and awareness, and much more.   Hello everyone, and welcome to episode 185 of the Resilient Journey podcast, presented by Anesis Consulting Group!   This week, we conclude our two-part series on AI in resilience as Jason Hoss returns to continue the conversation. Jason and Mark talk about the ethics of AI and the need to have a human element in decision making. They talk about voice cloning, deep fakes and have a funny moment about making still-pictures move. They discuss using AI as a research tool, augmenting your communications capabilities during a crisis - AND - if you've never used AI, Jason gives you some tips on how to get started. And stay tuned to the end for a special announcement.   Be sure to follow The Resilient Journey!  We sure do appreciate it! Want to learn more about Mark? Click here or on LinkedIn or Twitter.   Special thanks to Bensound for the music.

Leandro Perez, Senior Vice President and CMO of Salesforce ANZ, has recently joined the board of the AANA and has been at Salesforce for over 10 years including the role of VP Corporate Messaging and Content.  He talks with Anton about how humans are now working with AI agents to deliver better business, brand and customer experiences, and touches on some new ways of measuring quality and success, as well as reinforcing how critical it is to bring the marketing fundamentals to the fore rather than get lost in the tech.  Listen on Apple: https://podcasts.apple.com/au/podcast/managing-marketing/id1018735190  Listen on Spotify: https://open.spotify.com/show/75mJ4Gt6MWzFWvmd3A64XW?si=a3b63c66ab6e4934  Listen on Stitcher: https://www.stitcher.com/show/managing-marketing  Listen on Podbean: https://managingmarketing.podbean.com/  For more episodes of TrinityP3's Managing Marketing podcast, visit https://www.trinityp3.com/managing-marketing-podcasts/  Recorded on RiversideFM and edited, mixed and managed by JML Audio with thanks to Jared Lattouf.

In this episode of the Fitness + Technology Podcast, host Bryan O'Rourke welcomes back Garrett Marshall, a distinguished leader with over 22 years of experience driving growth in the wellness industry. Garrett's expertise spans strategy and innovation, executive leadership, business development, strategic partnerships, and technological product development. He has notably served as CEO of Fitness On Demand and President of Xponential Fitness. Today, he is the Founder and Chief Growth Officer of Wellbuilt Ventures, helping clients scale revenue through data-driven strategies, and serves as an advisor to Vi, assisting leading health organizations in maximizing member health outcomes and financial returns. In this conversation, Garrett shares insights from his career, discusses his latest business ventures, and offers his perspective on emerging trends shaping the future of fitness and wellness. One Powerful Quote: 30:01: “If you want to continue to be able to deliver as a best in class provider of fitness, you need to be able to at least have exposure to these other things that are hyper relevant to their overall health.” 4-10 Bullet Points (w/ timestamps) - Highlighting key topics discussed: 3:48: Bryan and Garrett talk about discerning great ideas and execution with technology.  12:41: Bryan and Garrett discuss how to successfully augment business product with a service. 25:24: Bryan asks Garrett about the most appealing wellness categories. 31:56: Garrett shares his pearls of wisdom to the listeners. Bullet List of Resources: https://www.wellbuilt.ventures/ https://www.vi.co http://www.TheCompoundHQ.com https://www.xponential.com/ Guest Contact Information: https://www.linkedin.com/in/garrettmarshall/ https://www.bryankorourke.com/ https://www.linkedin.com/in/bryankorourke/ http://www.fittechcouncil.org/ https://www.youtube.com/user/bko61163

There is a lot of excitement around AI Agents.  Here are five questions we're asking ourselves about how AI Agents will be used and managed. SHOW: 918SHOW TRANSCRIPT: The Cloudcast #918 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:Cut Enterprise IT Support Costs by 30-50% with US CloudSHOW NOTES:Anthropic warns that fully AI employees are a year awayAuthZ Agents ChaosWhy we need to get AuthZ rightAI Agent Gateway and AI Agent MeshAuth in the age of AI Agent (Cloudcast Eps. 885)Trust will make or break AI Agents Introducing the Agent2Agent Protocol (A2A - Google)Introducing the Model Context Protocol (MCP - Anthroopic)Top 9 AI Agent FrameworksHOW WILL WE VIEW AN AI AGENT IN THE CONTEXT OF HUMANS OR “USERS”[Who] How is an AI agent represented in the context of a person, a group, an organization? [What] How will we audit Agent created data or content? Will we need a way to label Agent-created information?[Where] Will we have agents that are focused on non-human-interactions (e.g. optimizations) vs. human-interactions (e.g. empathy)?[When] Are today's auth systems able to manage AI agents, or will they need to be re-engineered to deal with different scale, granularity of actions?[Why] Why will we choose an Agent (as the implementation) over another form or working on a problem?[How] Are today's auth systems able to manage AI agents, or will they need to be re-engineered to deal with different scale, granularity of actions?FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

Instead of focusing on augmenting existing teams and processes with AI, are we beginning to see more companies looking to replace teams with AI? Will economic pressure increase this likelihood? SHOW: 916SHOW TRANSCRIPT: The Cloudcast #916 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:Try Postman AI Agent Builder TodayCut Enterprise IT Support Costs by 30-50% with US CloudSHOW NOTES:CEOs choose more AI, fewer jobsOpenAI plots charging $20,000 per month for PhD-level AgentsWhy AI isn't giving Salesforce a boostThe one person $Billion dollar companyHUMAN-AUGMENTED vs HUMAN-REPLACEMENT IS A COMPLEX AI STRATEGYMost AI projects today as either augmenting or replacing humansTechnology has augmented, shifted or replaced human tasks for a while, this isn't anything newManagement/owners have tried to replace workers with technology for a long timePricing will tell you something about the goal of the technology (e.g. seat vs. task)Now we're starting to see the psychology of aligning AI to business goals - augmenting, shifting or replacingThe hyperbole of AI funding is to convey direct lines to AI success (whatever success is - AGI, No Coders, No Operations, No Entry-Level, etc..)“How do we replace the employees with AI?”The path to get there isn't well defined. The politics to get there isn't defined by technology. Will the current economic downturn accelerate this line of questioning / strategy? The Bed Bath and Beyond 20% coupon test. “The $billion dollar company with one employee.”FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

Send us a textEpisode 321: 2059 and the Future of Education with Micah ShippeeWhat if we stopped reacting to every new tech tool and started preparing with intention? In this bold conversation, I sit down with educator, futurist, and Samsung's Director of Education Solutions, Micah Shippee, to explore his new book 2059: The Future of Education.We dive deep into what the future could look like across AI, classroom models, access, agency, and everything in between. If you're an educator, leader, or just curious about what's next in learning, this episode is for you.Bonus: Grab 2059 with 20% off at Micah's website https://micahshippee.com/Huge thanks to our sponsors for making this episode possible: Book Creator, Eduaide, and Yellowdig.Timestamps  Timestamps: 00:00 – Welcome & Episode Intro 02:00 – Who is Micah Shippee? Background & Vision 03:30 – Why the year 2059? A nod to Orwell and bold futurism 05:00 – The post-scarcity scholar: most controversial prediction? 06:40 – The Fusion Model & the “Pencil Moment” in innovation 09:00 – Integration vs. Adoption: A critical distinction 10:45 – Advice for tech leaders: How to evaluate AI platforms 13:00 – What teachers still get wrong about AI 16:00 – Augmenting classroom learning with AI (not replacing it) 17:45 – 4 Future Scenarios: Which excites Micah most? 19:00 – Why bio-integration might go too far 22:00 – Teachers CANNOT be replaced – Here's why 25:00 – Responding to AI hype: why slower is better 27:00 – Access to agency: modeling vulnerability and real learning 30:00 – Practical implementation tips for all educators 33:00 – Who struggles most with AI? (It's not who you think) 34:30 – Micah's 3 steps to begin your AI journey 36:30 – The WHY behind tech: Micah's journey from classroom to Samsung 38:00 – What Micah hopes readers take away from 2059 41:30 – The 2059 vision: thinking long-term about change 44:00 – Fun wrap-up questions + 20% off the book! 

Today, thinking about AI completely replacing humans is impossible. Why? Because it means replacing creativity, context, and more importantly, intuition. Hiten Shah, serial entrepreneur, investor, and now working on AI at Dropbox, joins Josh and Jason to discuss how smart marketers and builders are using AI as a thought partner rather than a content machine. Hiten also drops hard-earned wisdom on what marketing still gets wrong, why engineers still (and will likely always) lead the startup ecosystem , and the explanation of why “the best story wins” is more than just a nice phrase.We discuss:Why getting the best from AI starts with better prompting and pre-prompting conversations. Why the road to content quality often starts with content quantity. Augmenting vs replacing human task management with AI.The biggest myths about AI-generated content, and why it's dangerous for your brand.

On the show today, we are honored to have Dr. John Halamka, the Dwight and Dian Diercks president of the Mayo Clinic Platform, a digital initiative that brings together solution ...

We are here recording live at Medallia Experience at the Wynn in Las Vegas, and have been seeing and hearing some amazing things about how AI can enhance the customer experience as well as enable teams at organizations to create more meaningful connections with customers. Today we're going to talk about how AI can help to create better experiences for customers before, during, and after their interactions. To help me discuss this topic, I'd like to welcome Fabrice Martin, Chief Product Officer at Medallia. RESOURCES Medallia: https://www.medallia.com Catch the future of e-commerce at eTail Boston, August 11-14, 2025. Register now: https://bit.ly/etailboston and use code PARTNER20 for 20% off for retailers and brands Don't Miss MAICON 2025, October 14-16 in Cleveland - the event bringing together the brights minds and leading voices in AI. Use Code AGILE150 for $150 off registration. Go here to register: https://bit.ly/agile150 Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstrom Don't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.show Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company

We are here recording live at Medallia Experience at the Wynn in Las Vegas, and have been seeing and hearing some amazing things about how AI can enhance the customer experience as well as enable teams at organizations to create more meaningful connections with customers.Today we're going to talk about how AI can help to create better experiences for customers before, during, and after their interactions. To help me discuss this topic, I'd like to welcome Fabrice Martin, Chief Product Officer at Medallia. RESOURCESMedallia: https://www.medallia.com Catch the future of e-commerce at eTail Boston, August 11-14, 2025. Register now: https://bit.ly/etailboston and use code PARTNER20 for 20% off for retailers and brandsDon't Miss MAICON 2025, October 14-16 in Cleveland - the event bringing together the brights minds and leading voices in AI. Use Code AGILE150 for $150 off registration. Go here to register: https://bit.ly/agile150Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.showCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnowThe Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company Hosted on Acast. See acast.com/privacy for more information.

This week's guest is Nicolette Naya (https://www.linkedin.com/in/nicolettenaya/), Senior MES Engineer at a leading luxury jewelry manufacturer. Nicolette shares insights into how she helped digitize centuries-old manufacturing processes, the challenges of introducing technology to the shop floor, and the importance of a structured governance model to successful digital transformation. She also explores the role of citizen developers, sheds light on her own career path from intern to digital transformation leader, and shares advice for others looking to follow in her footsteps. Augmented Ops is a podcast for industrial leaders, citizen developers, shop floor operators, and anyone else that cares about what the future of frontline operations will look like across industries. This show is presented by Tulip (https://tulip.co/), the Frontline Operations Platform. You can find more from us at Tulip.co/podcast (https://tulip.co/podcast) or by following the show on LinkedIn (https://www.linkedin.com/company/augmentedpod/). Special Guest: Nicolette Naya.

Nicolas Cole delivers a comprehensive masterclass on writing with AI, demonstrating how to combine human expertise with AI capabilities to create high-quality content. The discussion covers practical frameworks for content creation, including how to structure articles, generate hooks, and test ideas. Cole emphasizes that AI should be viewed as a collaborative tool rather than a replacement for human writers, and success comes from understanding fundamental writing principles first.Timestamps:00:00 - Intro01:03 - Why Learn to write with AI05:06 - Choosing a Content Topic07:38 - Framework for idea development12:40 - The role of AI in the Idea generation process16:39 - The Editor-in-Chief approach to writing with AI18:53 - Creating a Compelling Hook28:28 - Framework for structuring an article34:13 - The "10 Magical Ways" framework45:54 - Collaborating with AI for improving output49:37 - The Power of Education in the Digital AgeKey Points:• Framework for using AI as a writing tool while maintaining quality• How to effectively prompt AI for content ideation and refinement• The "10 Magical Ways" framework for structuring content• The importance of making strategic decisions before writing begins1) The biggest mindset shift:AI isn't replacing writers - it's AUGMENTING them.Just like Photoshop didn't kill designers, it created 1000x more designers.Just like Instagram didn't kill photographers, it made everyone a photographer.2) Key Framework: The Editor-in-Chief Method Don't treat AI as a writer - treat it as your junior staff writer.YOU are the editor making high-level decisions.AI helps execute your vision.3) Writing Process Revolution:- Don't start writing immediately- Make key decisions BEFORE writing:- Clear headline promise- 3 main tangible points- Format for each section90% of value comes from these decisions!4) The "10 Magical Ways" Framework:Every piece of content can be broken down into:- Tips- Steps- Lessons- Stats- Examplesetc.Pick your format FIRST, then structure accordingly.5) Pro Tip: Use AI ConversationallyTwo approaches:1. Chunk-by-chunk dialogue2. Massive single promptMost people fail by sitting in the middle.Start conversational, then compress into mega-prompts.6) Quality Control Method:1. Generate multiple versions2. Apply your taste/judgment3. Refine best options4. Test against goalsRemember: AI suggestions need human curation!7) The Education Leverage Play:Learning frameworks = AI superpowersWhat took experts years to master can now be:1. Learned quickly2. Taught to AI3. Scaled infinitelyThis is the real opportunity!8) Bottom Line:The future belongs to "orchestrators" - people who:- Understand frameworks- Make high-level decisions- Use AI as a tool- Maintain quality controlDon't fight the future - leverage it! Notable Quotes:"AI is not a silver bullet. On some level, you do have to have a baseline understanding of how the thing is supposed to work so that you can prompt AI in order to do it." - Nicolas Cole"90% of the value is not in the writing. It is in the fact that you said what you're going to give [the reader]." - Nicolas ColeLCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/BoringAds — ads agency that will build you profitable ad campaigns http://boringads.com/BoringMarketing — SEO agency and tools to get your organic customers http://boringmarketing.com/Startup Empire - a membership for builders who want to build cash-flowing businesses https://www.startupempire.coFIND ME ON SOCIALX/Twitter: https://twitter.com/gregisenbergInstagram: https://instagram.com/gregisenberg/LinkedIn: https://www.linkedin.com/in/gisenberg/FIND COLE ON SOCIALX/Twitter: https://x.com/Nicolascole77Youtube: https://www.youtube.com/@nicolascole77/featuredWrite with AI: https://writewithai.substack.com

Today, we talk about the polar plunge in the Holler, Christmas busy season, shoring up the livestock to do well through winter, and more Sponsor 1: DiscountMylarBags.com Sponsor 2: AgoristTaxAdvice.com Hard to work outside because the cold came on suddenly. Heat battery worked for one day – now we need a heater Goat fencing Chickens are gone Feed staging Preparing to be gone – location of sheep Augmenting with creep to give sheep a boost because of the sudden change in temperature Chestnut's sweater Garlic still not in – need the bed finished Don't low and slow a round roast - it gets dry AP didnt freeze even though I didnt winterize the wicking beds Chard is still producing under plastic Duck eggs are slow How do you like the rabbit waterers? Time to breed the rabbits again Rabbit tractor is still not done and I am the bottle neck Checking the microclimate near the post for the last of the fall herbs   Make it a great week!   GUYS! Don't forget about the cookbook, Cook With What You Have by Nicole Sauce and Mama Sauce. It makes a great Christmas Gift! Community Mewe Group: https://mewe.com/join/lftn Telegram Group: https://t.me/LFTNGroup Odysee: https://odysee.com/$/invite/@livingfree:b Advisory Board The Booze Whisperer The Tactical Redneck Chef Brett Samantha the Savings Ninja Resources Membership Sign Up Holler Roast Coffee Harvest Right Affiliate Link  

From robot helpers to smart body parts, the line between humans and machines is blurring. This hour, TED speakers design tech that enhances us without diminishing our humanity. Guests include robot choreographer and computer scientist Catie Cuan, engineer and biophysicist Hugh Herr, material scientist Anna Maria Coclite and biochemist Jennifer Doudna. TED Radio Hour+ subscribers now get access to bonus episodes, with more ideas from TED speakers and a behind the scenes look with our producers. A Plus subscription also lets you listen to regular episodes (like this one!) without sponsors. Sign-up at: plus.npr.org/tedLearn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy

Meta and Snap each plan to introduce new AR glasses, but you probably won't be able to get your hands on them. Plus, Cruise strikes up a partnership with Uber, Google introduces a photo editing feature that muddies the waters and an enterprising hacker attempts to fake his own death. Through hacking. Plus more!See omnystudio.com/listener for privacy information.

Send Everyday AI and Jordan a text messageWin a free year of ChatGPT or other prizes! Find out how.No one's talking about this when it comes to AI. What happens when it works? ↳ When we save all that time. ↳ When productivity goes through the roof↳ When jobs maybe get.....easier. Diya Wynn, Responsible AI Lead at AWS, joins us to discussNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Diya questions on AIRelated Episodes: Ep 323: How AI Is Changing Workplace ProductivityEp 302: 5 Laws for Success in the AI EraUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. Allocation of resources and the role of AI2. Responsible and intentional AI practices3. Complexities of upskilling and reskilling4. Implications of AI on a grand scaleTimestamps:01:50 Generative AI impact on high school students.05:40 About Diya and her role at AWS10:28 Inclusive AI promoting fairness and accessibility.13:47 Augmenting human capability with technology for efficiency.15:31 Comparing AI to automotive revolution, impacting jobs.19:50 Resistance, failure, and education for responsible AI.23:27 Skills need constant updating for technological advancements.26:08 Responsible AI as an organizational culture structure.32:21 Resource allocation may impact access to healthcare.35:42 AI levels playing field for diverse learners.38:59 AI as bridge, not barrier, empowering all.Keywords:Diya Wynn, Jordan Wilson, Everyday AI Show, AWS, Medicare, Medicaid, AI implementation, disparities in access, Artificial Intelligence, organizational structure, AI practices, education, banking services, hiring processes, video production, systems testing, upskilling, reskilling, responsible AI policy, technology advancements, job displacement, job creation, biases, fairness, workforce changes, World Economic Forum predictions, AWS responsible AI strategy, heart disease prediction, industry events, community engagement. Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/