Podcasts about enterprises

What does autonomous IT really look like when you move beyond the slideware and start wiring systems together in the real world? At Dynatrace Perform in Las Vegas, I sat down with Pablo Stern, EVP and GM of Technology Workflow Products at ServiceNow, to unpack exactly that. Pablo leads the teams focused on CIOs and CISOs, building the workflows and security products that sit at the heart of modern IT organizations. From service desks and command centers to risk and asset management, his remit is clear: enable AI to work for people, not the other way around. We began with ServiceNow's deepening multi-year partnership with Dynatrace. While the announcement made headlines, Pablo was quick to point out that the real story starts with customers. This collaboration is rooted in a shared goal of helping joint customers reduce outages, improve SLA adherence, and shrink mean time to resolution. The vision of autonomous IT operations is not about hype. It is about connecting observability data with deterministic workflows so that insight can evolve into coordinated, system-level action. Pablo walked me through the maturity curve he sees emerging. First came AI-powered insight, summarizing data and surfacing signals from noise. Then came task automation, drafting knowledge articles, paging teams, triggering predefined playbooks. The next step, and the one that excites him most, is orchestrated autonomy. That means stitching together skills, agents, and workflows into systems that can drive end-to-end outcomes. It is a journey measured in years, not months, and it depends as much on digitizing process and building trust as it does on technology. We also explored root cause analysis, still one of the biggest time drains in IT. By combining Dynatrace's AI-driven observability with ServiceNow's workflow engine, enterprises can automate forensic steps, correlate events faster, and shorten the time spent on major incident bridges where teams debate ownership. Even incremental improvements in accuracy can save hours when incidents strike. Trust, of course, remains central. Pablo was candid that full self-healing systems are still some distance away. What we will see first is relief automation, controlled failovers, scripted actions suggested by machines but approved by humans. Over time, as confidence grows and processes become fully digitized, the balance will shift. Beyond the technology, a consistent theme ran through our conversation. Outcomes have not changed. Enterprises still want higher availability, faster resolution, better employee experiences. What is changing is the how. ServiceNow is reimagining its platform to deliver those outcomes at a much higher standard, not through incremental tweaks, but through rethinking workflows for an AI-first world. From design partnerships with banks building pre-flight change checks, to internal teams acting as the toughest customers, this was a grounded, practical conversation about where autonomous operations are headed and what it will take to get there. If you are a CIO, CISO, or IT leader wondering how to move from theory to execution, this episode offers a clear-eyed look behind the curtain.      

Navigating Innovation: How to Pierce the "Design Fog" with Dianna DeeneyIn the high-stakes arena of product development, the bridge between a brilliant idea and a successful launch is often shrouded in ambiguity. In a recent episode of The Thoughtful Entrepreneur Podcast, host Josh Elledge sat down with Dianna Deeney, the Founder and Consultant at Deeney Enterprises, to discuss her mission of bringing clarity to the creative process. Dianna, the author of Pierce the Design Fog, explores how entrepreneurs and engineering teams often succumb to "solution jumping"—rushing to build before they truly understand the problem. Their conversation serves as a strategic roadmap for leaders who want to integrate quality-driven thinking early in the design phase to reduce waste, align cross-functional teams, and ensure that the final product resonates deeply with its intended users.Engineering Empathy: Quality Systems for User-Centered ProductsThe most common pitfall in innovation is not a lack of talent, but a lack of structured problem-definition. Dianna explains that when teams skip the "problem space" to focus on features, they often end up with technically sound products that solve the wrong needs. To combat this, she introduces a systems-thinking approach that treats quality not as a final inspection box to check, but as a foundational design element. By staying in the problem space longer, teams can identify the specific benefits a user seeks and map the broader system in which a product operates. This discipline prevents the "Design Fog"—that state of misalignment and wasted resources that occurs when a team's vision isn't anchored in a verified user reality.Effective collaboration across diverse departments—such as marketing, engineering, and manufacturing—requires more than just meetings; it requires a shared language and structured frameworks. Dianna advocates for the use of "plug-and-play" models, like her Benefit Impact and Concept Space models, to facilitate discovery without stifling creativity. These tools act as a neutral ground where stakeholders can visualize the user journey and anticipate potential "symptoms" or points of failure before a single prototype is built. When teams move from unstructured brainstorming to a model-driven approach, they reduce friction and ensure that every departmental voice is channeled toward a unified goal of delivering impact.Ultimately, integrating quality tools early in the development cycle is a major competitive advantage for growing enterprises. Dianna suggests that instead of viewing quality assurance as a late-stage hurdle, it should be seen as a way to facilitate better design decisions from day one. This includes using templates to prioritize features based on user benefits and establishing feedback loops that keep the user at the center of the systems-thinking process. By customizing these processes to fit an organization's unique culture, leaders can foster an environment where innovation is both disciplined and agile, resulting in robust products that stand out in a crowded marketplace.About Dianna DeeneyDianna Deeney is a Founder and Consultant at Deeney Enterprises, where she helps technical teams and entrepreneurs streamline their product development. With a background in engineering and quality management, she is the author of Pierce the Design Fog and the host of the Quality During Design podcast, where she shares practical playbooks for more effective innovation.About Deeney EnterprisesDeeney Enterprises is a consultancy dedicated to helping organizations improve their design and development processes. By providing expert facilitation, workshops, and structured frameworks, the company empowers cross-functional teams to eliminate ambiguity, integrate quality early, and deliver

Two weeks ago on Reimagining Cyber, we explored how agentic AI could become the next major security choke point. Since then, things have escalated.Enterprises are restricting — even banning — AI agents. Security teams are scrambling to regain visibility. Vendors are rushing out “agent security” features. And early warning signs are already surfacing.In this episode, Tyler Moffitt answers the critical question: Did agentic AI just move from innovation to crisis?What changed in just a matter of weeks?This discussion breaks down:Why AI agents are fundamentally different from traditional automation and service accountsHow autonomous reasoning + persistent system access creates a new attack paradigmThe identity and API sprawl problem most organizations didn't realize they hadWhy compromised agents could give attackers automation at scaleThe growing wave of enterprise bans — and what they signalWhether regulation or a high-profile incident is likely to come firstTyler explains how agents don't just generate responses — they take action. They hold API keys, access internal systems, modify code repositories, interact with cloud infrastructure, and execute workflows. When deployed without guardrails, logging, or least-privilege controls, they can quietly multiply an organization's attack surface overnight.The core issue isn't that AI is malicious — it's that AI has become an acceleration layer. And when autonomy meets overprivileged access, traditional security models break.You'll also hear practical, immediate steps security teams should be taking now — from credential rotation and agent inventories to sandboxing and behavioral monitoring.This isn't an anti-AI episode. It's a maturity wake-up call.Because the organizations that build guardrails now will move faster and safer. The ones that don't may learn the hard way.If you're a CISO, security architect, developer experimenting with agents in production, or executive evaluating AI adoption — this is a conversation you can't afford to miss.As featured on Million Podcasts' Best 100 Cybersecurity Podcasts Top 50 Chief Information Security Officer CISO Podcasts Top 70 Security Hacking Podcasts This list is the most comprehensive ranking of Cyber Security Podcasts online and we are honoured to feature amongst the best! Follow or subscribe to the show on your preferred podcast platform.Share the show with others in the cybersecurity world.Get in touch via reimaginingcyber@gmail.com

In this episode of Marketplace by Faster Forward, host Grant Johnsey sits down with Mike Kelly, Co‑Founder of Developer Town, to cut through the hype and explore the real‑world applications of AI—from personal productivity to enterprise‑scale transformation. Mike shares how advances in large language models are reshaping everyday workflows, why tools like Gemini and ChatGPT are evolving into true AI companions, and how “vibe coding” is lowering the barrier to building custom software. The conversation goes deeper into the enterprise, covering AI agents, fraud detection, unstructured data, and why many organizations struggle to move from experimentation to execution. Mike also weighs in on the implications for SaaS businesses, venture investing, energy costs, and the future of enterprise infrastructure. Key topics include: How AI is changing personal productivity and decision‑making Using AI as a healthcare “navigator” and shared source of truth Vibe coding and the rise of build‑your‑own software Why enterprises get stuck on data and process readiness AI agents, automation, and security trade‑offs What AI means for SaaS, venture capital, and long‑term costs Whether you're experimenting with AI at home or evaluating it for your organization, this episode offers a clear, practical look at what's working and what's coming next.

In this episode of Marketplace by Faster Forward, host Grant Johnsey sits down with Mike Kelly, Co‑Founder of Developer Town, to cut through the hype and explore the real‑world applications of AI—from personal productivity to enterprise‑scale transformation. Mike shares how advances in large language models are reshaping everyday workflows, why tools like Gemini and ChatGPT are evolving into true AI companions, and how “vibe coding” is lowering the barrier to building custom software. The conversation goes deeper into the enterprise, covering AI agents, fraud detection, unstructured data, and why many organizations struggle to move from experimentation to execution. Mike also weighs in on the implications for SaaS businesses, venture investing, energy costs, and the future of enterprise infrastructure. Key topics include: How AI is changing personal productivity and decision‑making Using AI as a healthcare “navigator” and shared source of truth Vibe coding and the rise of build‑your‑own software Why enterprises get stuck on data and process readiness AI agents, automation, and security trade‑offs What AI means for SaaS, venture capital, and long‑term costs Whether you're experimenting with AI at home or evaluating it for your organization, this episode offers a clear, practical look at what's working and what's coming next.

In the final episode of AI360, Head of Applied AI at Deloitte, Jim Rowan, and Rohan Gupta reflect on recent breakthroughs in AI and what's next, including how companies can ensure success with AI.

In today's Tech3 from Moneycontrol, Jar faces a CID probe under the BUDS Act amid a surge in digital gold transactions. BillDesk acquires Worldline's India business for Rs 650 crore, deepening consolidation in payments infrastructure. India's IT leaders say AI adoption is complex and execution-heavy, even as tech budgets rise globally. And IDC data signals a sharp 12–15 percent drop in smartphone shipments in 2026, hit by supply crunch and rising costs.

Ridepanda turned the failed unit economics of shared micro-mobility into a viable B2B model by eliminating operational costs that drove Lime's per-minute pricing from $0.15 to $0.55. After working at Lime and seeing firsthand why rebalancing, charging, vandalism, and theft made profitability impossible, Co-founder Chinmay Malaviya built a subscription model where employers subsidize personal e-bikes and scooters for employees. The insight: commuting is planned travel with validated enterprise budgets already allocated to parking, shuttles, and transit. Ridepanda now works with Amazon, Google, and County of San Mateo, achieving 5-15% employee adoption—triple San Francisco's 2-4% bike commute rate—with 85% being net-new riders who've never regularly used bikes or scooters before. Topics Discussed: Why shared micro-mobility's cost structure (rebalancing, charging, vandalism) made $0.55/minute pricing inevitable Targeting enterprise transportation teams versus mid-market HR benefits buyers as distinct ICPs Subscription economics: $50-$250/month with employer subsidies only triggering on employee sign-ups Converting non-riders to daily commuters: 85% adoption from people who previously didn't bike/scooter Enterprise-first strategy: going where dedicated teams and budgets already exist for employee transportation Vertical expansion into manufacturing, law firms, hospitals, and universities GTM Lessons For B2B Founders: Target existing budget holders, not net-new spending: Enterprises already fund parking facilities, shuttle services, van pools, and commuter benefits through dedicated transportation and facilities teams. Ridepanda didn't create a new expense category—they repositioned within existing line items. This meant selling to buyers with validated pain, allocated budget, and quarterly goals tied to employee transportation. When entering established markets, map where your solution fits in current spending patterns rather than forcing buyers to carve out new budget. Structure pricing to eliminate perceived risk: The subsidy only applies when an employee signs up—there's no upfront commitment or wasted spend on unused capacity. This removed the enterprise objection of "why am I paying when I'm not getting anything." For a new category where adoption rates are unproven, usage-based pricing aligned incentives and made pilots trivial to approve. When selling unproven solutions, architect your commercial model so the buyer's risk scales linearly with actual utilization. Segment ICP by buyer motivation, not just company size: Enterprise buyers (transportation/facilities teams) optimize for modal shift, carbon reduction, and getting employees out of single-occupancy vehicles. Mid-market buyers (HR/benefits managers) optimize for return-to-office adoption, wellness metrics, and benefits competitiveness. Same product, completely different value props and sales conversations. Don't assume company size determines buyer psychology—map the org chart to understand who owns the problem and what they're measured on. Attack broken unit economics, not just user experience: Lime's pricing increase from $0.15 to $0.55 per minute wasn't greed—it was fundamental business model failure. Shared services require rebalancing fleets, charging distributed assets, and absorbing vandalism/theft losses. Personal ownership via subscription eliminated every operational cost that made shared mobility unprofitable. When incumbents are struggling financially despite strong demand, the opportunity isn't better execution—it's a structural model shift. Prove behavior change at enterprise scale, not just product-market fit: Achieving 5-15% employee adoption when the city baseline is 2-4% demonstrates that subsidized access plus personal ownership drives 3x penetration. More critically, 42% daily usage from an 85% net-new rider base proves the model creates new commuting behavior rather than capturing existing cyclists. Enterprise buyers focused on emissions and modal shift care about conversion metrics, not vanity usage numbers. Define the transformation metric that proves you're changing behavior systemically, not incrementally. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

Tata Consultancy Services (TCS), a global leader in IT services, consulting, and business solutions, and ServiceNow, the AI control tower for business reinvention, have signed a multi-year partnership to help enterprises speed up AI adoption across their businesses and functions. Enterprises are increasingly looking for experts who can reimagine how work is transformed with AI, especially in back-office functions like human resources, finance, supply chain, procurement, and employee services. As part of this partnership, TCS, who operate a global service delivery centre in Ireland, will develop solutions on the ServiceNow platform that will use trusted AI and a unified governance model to make enterprise workflows more efficient, proactive, and insight-driven. These solutions will be offered through TCS's AI-led, autonomous global business solutions portfolio. Amit Zavery, President, Chief Operating Officer and Chief Product Officer, ServiceNow, said, "As global enterprises rethink operating models for growth and efficiency, they are looking for partners that can deliver innovation, execution, and governance at scale. Together with TCS, we are helping enterprises move beyond isolated AI experiments by building agentic AI natively into workflows, modernising legacy environments, and driving measurable business outcomes." Aarthi Subramanian, Executive Director – President and Chief Operating Officer, TCS, said, "Today, enterprises are ready to move beyond AI pilots to scaled, business-wide transformation. Our partnership with ServiceNow brings together trusted AI, modern workflows, and deep industry knowledge that will help customers reimagine workflows for the AI era using TCS's five-stage AI Autonomy Framework. This collaboration will help clients embed intelligence across their IT, business operations, and customer functions, driving speed, efficiency, and sustained competitive advantage." The new offerings will break down silos between corporate functions and business units, transform the flow of work using agentic AI, and enable clients to get a holistic, insights-driven view of their organisations. For example, HR operations could shift from fragmented services to a unified, experience-led hire-to-retire lifecycle that increases employee productivity, engagement, and retention. In addition, customer order processing could change from a slow, multi-step order cycle to a high-velocity revenue engine that improves cash flow and revenue predictability, unlocking capital for growth. Currently, TCS is the largest user of ServiceNow's IT Asset Management, deploying the offering across thousands of devices used by TCS's workforce over a period of three months. This highlights a strong foundation that not only validates the partnership but also affirms the credibility of the solutions that both organisations aim to deliver for their clients. The two companies will also invest in co-innovation labs, solution showcases, and integrated go-to-market programs for clients. The TCS partnership with ServiceNow will play a central role in supporting TCS's aspiration to become the world's largest AI-led technology services company.

The Today in Manufacturing Podcast is brought to you by the editors of Manufacturing.net and Industrial Equipment News (IEN).This week's episode is brought to you by the fintech pioneers at Klear. When demand outpaces the funding needed to sustain growth, manufacturers run into what is known as the “success trap."The success trap is all too common. Enterprises invest heavily to fill orders while waiting weeks for payment. This dynamic can create a deficit in working capital that forces many to make decisions that lead to delivery delays and frustrated customers.Check out this report, "The Success Trap: Why Fast-Growing Manufacturers Fail," to learn how manufacturers can avoid these types of barriers in growing their business.Every week, we cover the three biggest stories in manufacturing, and the implications they have on the industry moving forward. This week:- Offshoring Critic to Move Ohio Manufacturing to China- Cargill to Shutter Wisconsin Plant, Cut More than 200 Jobs- Wind Turbine Graveyard in Texas Sparks LawsuitIn Case You Missed It- Small Aircraft Went from Concept to Flight-Ready Prototype in 71 Days- Robotic Dog Made in China Gets Indian University Kicked Out of AI Summit- Security Breach: Hybrid Warfare is Upon You Please make sure to like, subscribe and share the podcast. You could also help us out a lot by giving the podcast a positive review. Finally, to email the podcast, you can reach any of us at David, Jeff or Anna [at] ien.com, with “Email the Podcast” in the subject line.

The Great Rosary Campaign is an ongoing prayer and penance campaign for the conversion and strengthening of both Catholic and non-Catholic leaders.As a "Trekkie" (lover of Star Trek), we will be devoting several Great Rosary Campaigns to praying for the conversion of all remaining Star Trek cast members to the Catholic Faith.THIS WEEK of the Great Rosary Campaign: Star Trek Edition, we are praying for the conversion of Marina Sirtis, who played Counselor Deanna Troi on the various Enterprises in "Star Trek: The Next Generation." Please join us in praying that she may "live long and prosper" unto eternal life.The SUGGESTED PENANCE this week is a Holy Hour before the Blessed Sacrament, the Body, Blood, Soul, and Divinity of Our Lord in the Holy Eucharist.In these dark times, we must fight evil with the most powerful weapons we have. The Rosary is foremost among them. Join the Great Rosary Campaign today at: www.GreatRosaryCampaign.com.Countless Saints and Popes have told us that the Rosary is incredibly powerful for three things in particular:Keeping the FaithMoral renovationConversions of non-CatholicsThe Great Rosary Campaign is also based on several biblical themes and principles.First, PRAY FOR OUR BRETHREN. “Pray for one another…” (Jas. 5:16). “So then, as we have opportunity, let us do good to all men, and especially to those who are of the household of faith" (Gal. 6:10).Second, PRAY FOR OUR ENEMIES. “You have heard that it was said, ‘You shall love your neighbor and hate your enemy.' But I say to you, Love your enemies and pray for those who persecute you, so that you may be sons of your Father who is in heaven" (Matt. 5:43-44).Third, PRAY FOR ALL MEN, PARTICULARLY LEADERS AND THOSE IN AUTHORITY. “First of all, then, I urge that supplications, prayers, intercessions, and thanksgivings be made for all men, or kings and all who are in high positions…” (1 Tim. 2:1-2).Fourth, GOING INTO BATTLE WITH THE ARK. When the ancient Israelites came to Jericho, God didn't tell them to besiege the city. Instead, He told them to march around it with the Ark of the Covenant seven times, and on the seventh the walls would fall. We will now "march" in prayer for seven days with the New Ark of the Covenant, Our Lady, through the Rosary. We pray in hope that on the seventh day, a day especially devoted to Our Lady (Saturday), extraordinary graces of conversion will be given to those we are praying for.Fifth, EVANGELISM AND APOLOGETICS = LOVE + ARGUMENTS + PRAYER + PENANCE. Ultimately it is God who reveals Himself to a soul, and empowers them to say "yes" to Him by His grace. He chooses to use us, but He does not have to. We must remember that as we evangelize and defend the Faith, our arguments will be fruitless unless informed by love (charity), and reinforced by prayer and penance.Sixth, RETURNING GOOD FOR EVIL. “Do not return evil for evil, or reviling for reviling; but on the contrary bless, for to this you have been called, that you may obtain a blessing" (1 Pet. 3:9).Sign up to take part in the Great Rosary Campaign today: www.GreatRosaryCampaign.com

Most AI systems look impressive in controlled environments.But the real test begins when they meet production data.In my latest conversation, I sat down with Antonio Bustamante, Co-Founder and CEO of bem on The Ravit Show, to unpack one of the hardest problems in enterprise AI today: making unstructured data reliable enough to power real decisions.We talked about why extraction alone is not the problem anymore. The harder challenge is what comes after. Validation. Business rules. Schema enforcement. Exception handling. And making sure the system does not quietly fail when confidence drops.Antonio shared how bem approaches this differently by treating unstructured data pipelines more like critical infrastructure than experimental AI workflows. Instead of relying on prompts and probabilistic outputs, their focus is on deterministic systems that enforce constraints, match against existing data, and flag uncertainty rather than guessing.We also explored why unstructured pipelines tend to fail silently, how teams should rethink data quality in a probabilistic world, and where the real intellectual property lies when building AI-powered products today.What I found most interesting is how this shifts the conversation from model capability to operational trust. Enterprises are not just asking whether AI works. They are asking whether they can depend on it when money, compliance, or customers are involved.If you are building AI products, data platforms, or automation workflows, this discussion goes deeper than the usual AI hype cycle.Watch the full interview below and share your biggest takeaway.#data #ai #bem #theravitshow

AI-first is table stakes; instead, outcomes-first delivery in collaboration with a partner ecosystem unlocks growth, access, and resilience. Key discussion points include:AI-first is no longer differentiating, but outcomes are. Most providers claim AI-first, but the real shift is to outcomes-first delivery tied to better health, better experience, lower cost, and equity. The old delivery playbook won't survive the revenue headwind and patent cliff era. Life science enterprises need a new operating model, Services-as-Software, to rewire discovery-to-commercial and drive measurable impact. Winning suppliers become growth partners, not just capacity providers. The next wave is precision medicine, real-world evidence, global resilient supply chains, and continuous patient engagement; vendors that bring IP/platforms and ecosystem innovation move from Horizon 2 toward Horizon 3.Listen to this conversation and review our perspective at https://www.hfsresearch.com/research/life-sciences-suppliers-black-hole/Read the HFS Horizons Report on Life Sciences Service Providers, 2025: https://www.hfsresearch.com/research/hfs-horizons-life-sciences-service-providers-2025/

Aaron and Brian review some of the latest AI model releases and discuss how they would evaluate them through the lens of an Enterprise AI Architect. SHOW: 1003SHOW TRANSCRIPT: The Cloudcast #1003 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS" SHOW NOTES:Last Week in AI Podcast #234Artificial Analysis.AIOpus 4.6 ReleaseGPT Codex 5.3 ReleaseGLM-5 ReleaseOpenAI Preparedness FrameworkSam's Tweet that 5.3 Codex hit “high” ranking for cybersecurityFortune Article on 5.3 high rankingTAKEAWAYSThe frequency of AI model releases can lead to numbness among users.Evaluating AI models requires understanding their specific use cases and benchmarks.Enterprises must consider the compatibility and integration of new models with existing systems.Benchmarks are becoming more accessible but still require careful interpretation.The rapid pace of AI development creates challenges for enterprise adoption and integration.Companies need to be proactive in managing the versioning of AI models.The industry may need to establish clearer standards for evaluating AI performance.Efficiency and cost-effectiveness are becoming critical metrics for AI adoption.The timing of model releases can impact their market reception and user adoption.Businesses must adapt to the fast-paced changes in AI technology to remain competitive.FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

Let's work together - it's been an exceptionally cold and snowy winter. MCSO and snow removal companies ask for your time, space and patience while we work to clear our roads and parking lots in an effort to keep our community safe and get you where you need to go.Monroe County Sheriff Todd Baxter sits down with Sean Fico of A.P. Enterprises to learn how we can help one another be safe this snowy season and share the road.

Team Jayden's Chick Hicks car is ready to roll in this year's Variety Club Bash - and a casino night fundraiser is happening at the Seabreeze Hotel soonSee omnystudio.com/listener for privacy information.

The Great Rosary Campaign is an ongoing prayer and penance campaign for the conversion and strengthening of both Catholic and non-Catholic leaders.As a "Trekkie" (lover of Star Trek), we will be devoting several Great Rosary Campaigns to praying for the conversion of all remaining Star Trek cast members to the Catholic Faith.THIS WEEK of the Great Rosary Campaign: Star Trek Edition, we are praying for the conversion of Gates McFadden, who played Dr. Beverly Crusher, chief medical officer of the various Enterprises in "Star Trek: The Next Generation." Please join us in praying that she may "live long and prosper" unto eternal life.The SUGGESTED PENANCE this week is a Holy Hour before the Blessed Sacrament, the Body, Blood, Soul, and Divinity of Our Lord in the Holy Eucharist.In these dark times, we must fight evil with the most powerful weapons we have. The Rosary is foremost among them. Join the Great Rosary Campaign today at: www.GreatRosaryCampaign.com.Countless Saints and Popes have told us that the Rosary is incredibly powerful for three things in particular:Keeping the FaithMoral renovationConversions of non-CatholicsThe Great Rosary Campaign is also based on several biblical themes and principles.First, PRAY FOR OUR BRETHREN. “Pray for one another…” (Jas. 5:16). “So then, as we have opportunity, let us do good to all men, and especially to those who are of the household of faith" (Gal. 6:10).Second, PRAY FOR OUR ENEMIES. “You have heard that it was said, ‘You shall love your neighbor and hate your enemy.' But I say to you, Love your enemies and pray for those who persecute you, so that you may be sons of your Father who is in heaven" (Matt. 5:43-44).Third, PRAY FOR ALL MEN, PARTICULARLY LEADERS AND THOSE IN AUTHORITY. “First of all, then, I urge that supplications, prayers, intercessions, and thanksgivings be made for all men, or kings and all who are in high positions…” (1 Tim. 2:1-2).Fourth, GOING INTO BATTLE WITH THE ARK. When the ancient Israelites came to Jericho, God didn't tell them to besiege the city. Instead, He told them to march around it with the Ark of the Covenant seven times, and on the seventh the walls would fall. We will now "march" in prayer for seven days with the New Ark of the Covenant, Our Lady, through the Rosary. We pray in hope that on the seventh day, a day especially devoted to Our Lady (Saturday), extraordinary graces of conversion will be given to those we are praying for.Fifth, EVANGELISM AND APOLOGETICS = LOVE + ARGUMENTS + PRAYER + PENANCE. Ultimately it is God who reveals Himself to a soul, and empowers them to say "yes" to Him by His grace. He chooses to use us, but He does not have to. We must remember that as we evangelize and defend the Faith, our arguments will be fruitless unless informed by love (charity), and reinforced by prayer and penance.Sixth, RETURNING GOOD FOR EVIL. “Do not return evil for evil, or reviling for reviling; but on the contrary bless, for to this you have been called, that you may obtain a blessing" (1 Pet. 3:9).Sign up to take part in the Great Rosary Campaign today: www.GreatRosaryCampaign.com

Editor's note: Download and listen to the audio version below and click here to subscribe to the Today in Manufacturing podcast.The Today in Manufacturing Podcast is brought to you by the editors of Manufacturing.net and Industrial Equipment News (IEN).This week's episode is brought to you by the fintech pioneers at Klear. When demand outpaces the funding needed to sustain growth, manufacturers run into what is known as the “success trap."The success trap is all too common. Enterprises invest heavily to fill orders while waiting weeks for payment. This dynamic can create a deficit in working capital that forces many to make decisions that lead to delivery delays and frustrated customers.Check out this report, "The Success Trap: Why Fast-Growing Manufacturers Fail," to learn how manufacturers can avoid these types of barriers in growing their business.Every week, we cover the three biggest stories in manufacturing, and the implications they have on the industry moving forward. This week:- Stellantis Sells Half of $3.7B EV Battery Plant for $100- Waymo Workers in Philippines Are Helping Stumped 'Driverless' Cars- Rockwell Automation Picks City for New Million-Square-Foot Manufacturing FacilityIn Case You Missed It- Honda Developing Energy Efficient AI Chip to Help Eliminate Vehicle Crashes- Infusing Asphalt with Plastic Could Help Roads Last Longer- Smart Underwear Could Help Treat Intestinal Health Issues Please make sure to like, subscribe and share the podcast. You could also help us out a lot by giving the podcast a positive review. Finally, to email the podcast, you can reach any of us at David, Jeff or Anna [at] ien.com, with “Email the Podcast” in the subject line.

Welcome to another thought-provoking episode of The Brand Called You. In this episode, Ashutosh Garg speaks with Geoff Gibbins, Founder of Human Machines, a human-AI transformation company focused on helping organizations thrive in the age of artificial intelligence.Geoff shares practical, real-world insights into how AI is reshaping leadership, work, and decision-making. He explains why many leaders still view AI as a future challenge, what effective human-AI collaboration truly looks like, and why most enterprise AI initiatives fail to move beyond the pilot stage.This conversation dives deep into concepts such as liquid organizations, learning flywheels, and the growing importance of human judgment in an AI-driven world. Geoff also highlights why people-led transformations consistently outperform technology-led ones and how leaders must learn, unlearn, and relearn to stay relevant.Whether you're a business leader, entrepreneur, or technology enthusiast, this episode will help you understand how to harness AI deliberately—without losing sight of what makes us human.

In this forward-thinking episode, Sabine VanderLinden returns to kick off the year with a transformative discussion on “frontier firms” and the rise of agentic enterprises. As digital transformation accelerates, leaders face challenges like increasing climate risks, cyber threats, and widening protection gaps—pushing businesses (especially in regulated industries like insurance) to rethink strategies. Sabine explores how trailblazing organizations are leveraging AI not just as an assistant, but as an autonomous driver of capacity and productivity.  Through practical frameworks and real-world case studies, this episode lays out the playbook for riding the next wave of innovation, resilience, and growth. KEY TAKEAWAYS This year on Scouting for Growth, I wanted to regroup and make sure my podcast continues to deliver what matters most to you in the fast-paced transformation market. After a brief pause and reflection, and evaluating the insights from the World Economic Forum, with a clear sense that the world feels increasingly uninsurable—climate risk, cyber threats, and protection gaps are all expanding. But I believe that this narrative of uninsurability is simply a choice, not a certainty. I see a new class of leaders emerging, those who aren't just trying to manage risk but who are fundamentally changing how we approach it. Transformation isn't just happening in isolated labs; it's exploding at the convergence of capital, technology, and strategy—the true frontier of business. This is where agentic enterprises are emerging, blending human leadership with AI agents, forming digital workforces where competitive advantage depends on our agility with data, not just data ownership. Examples abound: Telstra is scaling AI across thousands of employees, UBS has put AI at the heart of its business via a Chief AI Officer, Mercedes-Benz uses digital twins and multiple agent systems to optimize production, and at Nestlé, AI is transforming everything from farm to fork. These companies aren't dabbling—they're fundamentally rethinking their models and leadership. My message is simple: the agentic frontier is not some distant theory—it's here and now. The uninsurable world is a choice, and you can choose to lead in this new paradigm. The tools and models exist, and the only question left is who has the courage to execute. As you listen and engage this year, I'll keep guiding you through these themes—helping you build, not just watch, the future unfold. BEST MOMENTS "The uninsurable world is a choice, not a certainty. While some twist their hands over these challenges, a new class of leaders is rewriting the rules of the game." "A frontier firm in the simplest terms is an organization that is human led but agent operated. This means your people set the vision and define success, while AI agents handle a significant share of the execution, working autonomously with oversight across processes." "Mastering [these levers] is the difference between watching the future happen and actively building it." "The market is sending an unequivocal message: the future of financial institutions including insurance, all regulated industry belongs to the agentic enterprise. This is not a distant vision; it is happening right now." ABOUT THE HOST Sabine VanderLinden is a corporate strategist turned entrepreneur and the CEO of Alchemy Crew Ventures. She leads venture-client labs that help Fortune 500 companies adopt and scale cutting-edge technologies from global tech ventures. A builder of accelerators, investor, and co-editor of the bestseller The INSURTECH Book, Sabine is known for asking the uncomfortable questions—about AI governance, risk, and trust. On Scouting for Growth, she decodes how real growth happens—where capital, collaboration, and courage meet. If this episode sparked your thinking, follow Sabine VanderLinden on LinkedIn, Twitter, and Instagram for more insights. And if you're interested in sponsoring the podcast, reach out to the team at hello@alchemycrew.ventures  

As more small businesses move sales, payments, and customer relationships online, they unlock new opportunities, but they also become easier targets for cyber-criminals and other threat actors.In this episode of Local to global: The power of small business, host JJ Ramberg sits down with Shamina Singh, Founder & President of the Mastercard Center for Inclusive Growth, and Brian Cute, Interim CEO and Director of Capacity & Resilience at the Global Cyber Alliance, to explore what Southeast Asia's fast-growing digital economy reveals about the cybersecurity challenges facing micro, small and medium-sized businesses everywhere.Together, they unpack what cyber-risk looks like on the ground, from phishing, ransomware, and malware to low-tech scams like QR-code sticker switching. They also examine why the damage rarely stays local; when a small supplier gets hit, disruptions can cascade through regional networks and even global supply chains.The good news is that their collaboration in Southeast Asia is also surfacing solutions that the rest of the world can borrow. Singh and Cute share what works, including public-private partnerships that deliver practical toolkits, localized training, and basic cyber hygiene that businesses can adopt, especially as AI-driven fraud and deepfakes make scams harder to spot.Local to global: The power of small business is a podcast series from GZERO Media's Blue Circle Studios and Mastercard, exploring why small businesses are poised to play an even bigger role in the future of the global economy. Host: JJ RambergGuests: Shamina Singh, Brian Cute Subscribe to the GZERO World with Ian Bremmer Podcast on Apple Podcasts, Spotify, or your preferred podcast platform, to receive new episodes as soon as they're published. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

As more small businesses move sales, payments, and customer relationships online, they unlock new opportunities, but they also become easier targets for cyber-criminals and other threat actors.In this episode of Local to global: The power of small business, host JJ Ramberg sits down with Shamina Singh, Founder & President of the Mastercard Center for Inclusive Growth, and Brian Cute, Interim CEO and Director of Capacity & Resilience at the Global Cyber Alliance, to explore what Southeast Asia's fast-growing digital economy reveals about the cybersecurity challenges facing micro, small and medium-sized businesses everywhere.Together, they unpack what cyber-risk looks like on the ground, from phishing, ransomware, and malware to low-tech scams like QR-code sticker switching. They also examine why the damage rarely stays local; when a small supplier gets hit, disruptions can cascade through regional networks and even global supply chains.The good news is that their collaboration in Southeast Asia is also surfacing solutions that the rest of the world can borrow. Singh and Cute share what works, including public-private partnerships that deliver practical toolkits, localized training, and basic cyber hygiene that businesses can adopt, especially as AI-driven fraud and deepfakes make scams harder to spot.Local to global: The power of small business is a podcast series from GZERO Media's Blue Circle Studios and Mastercard, exploring why small businesses are poised to play an even bigger role in the future of the global economy. Host: JJ RambergGuests: Shamina Singh, Brian Cute Subscribe to the GZERO World with Ian Bremmer Podcast on Apple Podcasts, Spotify, or your preferred podcast platform, to receive new episodes as soon as they're published. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Heath MacDonald, Minister of Agriculture and Agri-Food, announced this week the launch of two new AgriMarketing Program streams: Market Diversification for National Industry Associations and Market Diversification for Small and Medium-sized Enterprises. A total of $75 million is earmarked for AgriMarketing Program Market Diversification streams over 5 years (2026-27 to 2030-31) to support the Canadian... Read More

(00:00-27:36) Time for our surprise guest. The caller has absolutely been to St. Louis. Absolutely busy this time of year. Occasionally involved in college basketball. Joe Lunardi is the surprise guest! Joe doesn't play much poker. More of a pinochle guy. How does Joe spend the non-basketball part of the year? Joe says the Billikens are a lock for the NCAA Tournament. What does Mizzou have to do to get into the tournament? The history of bracketology and how it got its start. How the NCAA pick their pods and locations.(27:44-40:05) Listening vs. Watching podcasts. We need to get the DeWitts to commit to the navy blue road caps. Jackson's anti-botulism stance. Are you some kind of whore? Bad wings will break your heart. Owner of Boi Enterprises.(40:15-55:21) Overproducing the SportsCenter updates. Andy Crouppen drops by the studio talking about his recent travels to France. Power Slapping.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop sits down with Larry Swanson, a knowledge architect, community builder, and host of the Knowledge Graph Insights podcast. They explore the relationship between knowledge graphs and ontologies, why these technologies matter in the age of AI, and how symbolic AI complements the current wave of large language models. The conversation traces the history of neuro-symbolic AI from its origins at Dartmouth in 1956 through the semantic web vision of Tim Berners-Lee, examining why knowledge architecture remains underappreciated despite being deployed at major enterprises like Netflix, Amazon, and LinkedIn. Swanson explains how RDF (Resource Description Framework) enables both machines and humans to work with structured knowledge in ways that relational databases can't, while Alsop shares his journey from knowledge management director to understanding the practical necessity of ontologies for business operations. They discuss the philosophical roots of the field, the separation between knowledge management practitioners and knowledge engineers, and why startups often overlook these approaches until scale demands them. You can find Larry's podcast at KGI.fm or search for Knowledge Graph Insights on Spotify and YouTube.Timestamps00:00 Introduction to Knowledge Graphs and Ontologies01:09 The Importance of Ontologies in AI04:14 Philosophy's Role in Knowledge Management10:20 Debating the Relevance of RDF15:41 The Distinction Between Knowledge Management and Knowledge Engineering21:07 The Human Element in AI and Knowledge Architecture25:07 Startups vs. Enterprises: The Knowledge Gap29:57 Deterministic vs. Probabilistic AI32:18 The Marketing of AI: A Historical Perspective33:57 The Role of Knowledge Architecture in AI39:00 Understanding RDF and Its Importance44:47 The Intersection of AI and Human Intelligence50:50 Future Visions: AI, Ontologies, and Human BehaviorKey Insights1. Knowledge Graphs Combine Structure and Instances Through Ontological Design. A knowledge graph is built using an ontology that describes a specific domain you want to understand or work with. It includes both an ontological description of the terrain—defining what things exist and how they relate to one another—and instances of those things mapped to real-world data. This combination of abstract structure and concrete examples is what makes knowledge graphs powerful for discovery, question-answering, and enabling agentic AI systems. Not everyone agrees on the precise definition, but this understanding represents the practical approach most knowledge architects use when building these systems.2. Ontology Engineering Has Deep Philosophical Roots That Inform Modern Practice. The field draws heavily from classical philosophy, particularly ontology (the nature of what you know), epistemology (how you know what you know), and logic. These thousands-year-old philosophical frameworks provide the rigorous foundation for modern knowledge representation. Living in Heidelberg surrounded by philosophers, Swanson has discovered how much of knowledge graph work connects upstream to these philosophical roots. This philosophical grounding becomes especially important during times when institutional structures are collapsing, as we need to create new epistemological frameworks for civilization—knowledge management and ontology become critical tools for restructuring how we understand and organize information.3. The Semantic Web Vision Aimed to Transform the Internet Into a Distributed Database. Twenty-five years ago, Tim Berners-Lee, Jim Hendler, and Ora Lassila published a landmark article in Scientific American proposing the semantic web. While Berners-Lee had already connected documents across the web through HTML and HTTP, the semantic web aimed to connect all the data—essentially turning the internet into a giant database. This vision led to the development of RDF (Resource Description Framework), which emerged from DARPA research and provides the technical foundation for building knowledge graphs and ontologies. The origin story involved solving simple but important problems, like disambiguating whether "Cook" referred to a verb, noun, or a person's name at an academic conference.4. Symbolic AI and Neural Networks Represent Complementary Approaches Like Fast and Slow Thinking. Drawing on Kahneman's "thinking fast and slow" framework, LLMs represent the "fast brain"—learning monsters that can process enormous amounts of information and recognize patterns through natural language interfaces. Symbolic AI and knowledge graphs represent the "slow brain"—capturing actual knowledge and facts that can counter hallucinations and provide deterministic, explainable reasoning. This complementarity is driving the re-emergence of neuro-symbolic AI, which combines both approaches. The fundamental distinction is that symbolic AI systems are deterministic and can be fully explained, while LLMs are probabilistic and stochastic, making them unsuitable for applications requiring absolute reliability, such as industrial robotics or pharmaceutical research.5. Knowledge Architecture Remains Underappreciated Despite Powering Major Enterprises. While machine learning engineers currently receive most of the attention and budget, knowledge graphs actually power systems at Netflix (the economic graph), Amazon (the product graph), LinkedIn, Meta, and most major enterprises. The technology has been described as "the most astoundingly successful failure in the history of technology"—the semantic web vision seemed to fail, yet more than half of web pages now contain RDF-formatted semantic markup through schema.org, and every major enterprise uses knowledge graph technology in the background. Knowledge architects remain underappreciated partly because the work is cognitively difficult, requires talking to people (which engineers often avoid), and most advanced practitioners have PhDs in computer science, logic, or philosophy.6. RDF's Simple Subject-Predicate-Object Structure Enables Meaning and Data Linking. Unlike relational databases that store data in tables with rows and columns, RDF uses the simplest linguistic structure: subject-predicate-object (like "Larry knows Stuart"). Each element has a unique URI identifier, which permits precise meaning and enables linked data across systems. This graph structure makes it much easier to connect data after the fact compared to navigating tabular structures in relational databases. On top of RDF sits an entire stack of technologies including schema languages, query languages, ontological languages, and constraints languages—everything needed to turn data into actionable knowledge. The goal is inferring or articulating knowledge from RDF-structured data.7. The Future Requires Decoupled Modular Architectures Combining Multiple AI Approaches. The vision for the future involves separation of concerns through microservices-like architectures where different systems handle what they do best. LLMs excel at discovering possibilities and generating lists, while knowledge graphs excel at articulating human-vetted, deterministic versions of that information that systems can reliably use. Every one of Swanson's 300 podcast interviews over ten years ultimately concludes that regardless of technology, success comes down to human beings, their behavior, and the cultural changes needed to implement systems. The assumption that we can simply eliminate people from processes misses that huma...

Mitch sits down with Zach Cardenez, Founder and CEO of Brick Athlete Enterprises to chat about the transfer portal and NIL. The guys discuss the process of preparing for the portal, keeping up with the chaos and calendars, the importance of relationships and integrity, and more! ⁠⁠⁠Subscribe now⁠⁠⁠Get 15% off your first purchase from Homefield Apparel when you use code "THREETECHPOD" at checkout!https://tr.ee/ZFhu7XSuLgJoin the Jimmy's and Joe's for CFB content for all 136 teams!FOLLOW: @ThreeTechPod on Instagram and Twitter!HOMEFIELD DISCOUNT: THREETECHPOD for 15% off!

The African Trade Report 2025 shows that social enterprises are a core part of Africa's economy. Across the continent, there are over 2.18 million social enterprises creating tens of millions of jobs and contributing up to 3% of Africa's GDP.What stands out is who is driving this growth. Nearly half of these enterprises are led by women, and a third by young people. These leaders are not just building businesses, they are creating jobs for women and youth in their communities.The report also highlights a major challenge. More than 55% of social enterprises struggle to access financing, caught in a middle funding gap. Unlocking patient, flexible capital and supportive policies will be critical if Africa is to fully harness the power of social enterprises.

OpenAI launched Frontier, a new platform designed for enterprises to build and deploy agents while treating them like human employees. Also, the newest version of Anthropic's model is designed to broaden its appeal. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Matt is joined by World Bass Enterprises Owner and CEO, Brian Bird, along with WBE Associate VP, Stephen Bird, and WBE VP of Marketing, Dalton Smith to talk about the recent announcement of "The Champions" tournament featuring a $3 million purse that includes a 1st place price of $1.25 million. Check out World Bass Enterprises website here: https://worldbassenterprises.com/

In this episode of the AI Agent & Copilot Podcast, John Siefert, CEO of Dynamic Communities and Cloud Wars, sits down with Dona Sarkar, Chief Troublemaker, Enterprise AI Advocacy at Microsoft, to explore what it really takes to move AI agents and copilots from experimentation into production. Their conversation previews Sarkar's keynote at the 2026 AI Agent & Copilot Summit NA and dives into practical adoption, human-centered AI, and lessons learned from real-world enterprise deployments.Key TakeawaysEnterprise advocacy bridges the gap: Sarkar explains that enterprise cloud advocacy exists to translate Microsoft product capabilities into practical, real-world business solutions. Rather than selling tools, her team focuses on enablement — creating demos, workshops, and labs that show how AI agents, Copilot Studio, Azure, and Power Platform can actually be deployed inside organizations.Production is harder than experimentation: Building an AI agent is easy; deploying it responsibly is not. Enterprises struggle with permissions, ownership, data readiness, and governance once agents move into production. These challenges reveal why successful AI adoption requires cross-functional collaboration between IT, business units, and governance teams.Not all work should be automated: Sarkar cautions against replacing meaningful human interactions with automation simply because it's possible. Instead, organizations should focus AI on prioritization, analysis, and repetitive tasks — freeing humans to spend more time on creativity, judgment, and relationship-building. “We really need to go draw a big old line in the sand and say, these should be uniquely human to human activities," she says. "These should be uniquely AI to human activities. These should be uniquely AI to AI activities.”Human connection matters more than ever: Despite fears that AI would reduce in-person interaction, both speakers observe the opposite trend. Conferences and professional gatherings are thriving because people crave perspective, not just information. While AI can surface data instantly, point of view comes from lived experience.Failure is part of responsible AI adoption: Sarkar openly shares that "The number of agents I've had to take down is probably like 50% of the agents I built.” These failures weren't wasted effort; they informed better tooling, clearer governance, and improved workflows. Microsoft's rapid release of new AI tools reflects lessons learned internally before being shared with customers. Visit Cloud Wars for more.

AI Native is shifting AI from a feature to the foundation of products, services, and business models. Why AI Native matters now and how AI Native design separates leaders from followers AI Native is not about adding AI tools to legacy systems. It is about architecting offerings and operations where intelligence is built into every layer. Instead of rules-based logic and siloed data, AI Native models rely on connected, data-driven ecosystems that continuously learn, adapt, and improve performance.

Dave's guest this week is Scott Benedict, retail strategist, longtime merchant leader, and former Walmart and Sam's Club executive with 35+ years across brick-and-mortar, eCommerce, and global retail. Today he runs Benedict Enterprises and serves as part of RETHINK Retail's advisory group, helping brands and retailers navigate the rapidly evolving commerce landscape.In this episode, Scott and Dave dive into:How a “digital-first” assortment strategy is transforming retailWhy leading retailers now build online → store, not store → onlineThe emerging connection between digital retail media and in-store mediaWalmart vs. Amazon's differing approaches to AI — and why that mattersWhat solution selling looks like in an AI futureWhy foundational data and system integration must come before innovationThe biggest opportunities for brands in 2026 and beyondConnect with Scott on LinkedInFollow Beyond the Shelf on LinkedInLearn More about It'sRapidGet the It'sRapid Creative Automation PlaybookTake It'sRapid's Creative Workflow Automation with AI surveyEmail us at sales@itsrapid.io to find out how to get your free AI Image AuditTheme music: "Happy" by Mixaud - https://mixaund.bandcamp.comProducer: Jake Musiker

Lean-Agile is easy to talk about but hard to pull off in a “chunky” corporate. Hear practical strategies for navigating layers, budgets, and oversight, keeping teams moving, communicating vision, handling legacy data, fostering experimentation, and leveraging AI—actionable advice for project managers making Agile work at scale.

Send us a textIn this episode, I'm joined by James Fairfield, a retired police lieutenant with over 30 years in law enforcement and a deep operational background in SWAT, use-of-force instruction, and tactical leadership. James now serves as the Director of Training for the world's largest body armor manufacturer, where he brings real-world experience to the development and delivery of protective solutions for those on the front lines.We dive into the realities behind soft and hard armor—from design and testing to field application—and explore what most officers and agencies don't know about the gear that's supposed to keep them alive. James shares hard-earned insights from his time as a Tactical Entry Team Leader, instructor, and subject matter expert in officer-involved shootings.Point Blank Enterprises: Social: @pointblankenterprisesWeb: https://www.pointblankenterprises.com/Don't forget to subscribe, rate, and share the show!The OpTempo Training Group website for an updated list of classes:https://optempotraining.com/@optempotraining on Instagram and FacebookFind us on Youtube at https://www.youtube.com/channel/UC4kBpYUjDdve9BULTHRF2Bw/featured?view_as=subscriberLowa BootsIG: @lowa.professional and @lowabootshttps://www.lowaboots.com/

Dennis Thankachan, Co-Founder and CEO of Lightyear, joined Doug Green, Publisher of Technology Reseller News, to discuss how Lightyear is redefining enterprise telecom management through AI-native automation, data transparency, and end-to-end lifecycle control. Thankachan explained that Lightyear positions itself as a “telecom operating system” for the enterprise, automating the full lifecycle of telecom services—from procurement and installation to inventory management, expense tracking, renewals, and decommissioning. The platform integrates with enterprise systems via APIs and provides a single system of record for services, circuits, costs, and contracts. In 2025, Lightyear expanded this vision with the launch of its AI-native telecom expense management offering, designed to modernize a category long dominated by legacy, invoice-centric tools. Telecom billing, Thankachan noted, remains uniquely complex and error-prone, with multi-carrier invoices, usage-based charges, taxes, and frequent discrepancies obscuring true costs. Lightyear's AI-native approach goes beyond invoice digitization by categorizing charges, reconciling invoices against verified network inventory, auditing discrepancies, opening tickets, and enabling natural-language queries such as cost analysis by site or service. “We're not just answering questions,” Thankachan said. “We also take the action—buying circuits, managing installs, paying invoices, and handling tickets.” By combining AI tooling with first-principles software design and a large, continuously growing dataset spanning quotes, carrier performance, and billing history, Lightyear delivers both operational automation and actionable intelligence. Enterprises typically see meaningful ROI within the first year, with ongoing savings driven by reduced manual effort, improved visibility, and proactive cost control. The conversation also highlighted Lightyear's strong business momentum. Following record customer growth and product expansion, the company secured additional funding at a higher valuation, enabling increased investment in engineering, AI-driven R&D, customer support, and go-to-market efforts. According to Thankachan, this capital ensures that “everything we do for the enterprise will get better and stronger.” More information about Lightyear's platform and its AI-native telecom expense management capabilities is available at https://lightyear.ai/.

Thanks to Greg Thomas over at Helena Agri-Enterprises for sponsoring this week's show! Thanks also to our studio sponsor Biotech Innovations.  Learn more about them at www.biotechinnovationsag.com.

Dr. Sanjeev Chopra is a distinguished retired IAS officer of the 1985 batch (West Bengal cadre), celebrated for his transition from a bureaucrat to a prominent historian, author, and literary curator.He is best known for his tenure as the Director of the Lal Bahadur Shastri National Academy of Administration (LBSNAA) in Mussoorie, where he played a pivotal role in training India's civil servants. Over a career spanning 36 years, he held various significant portfolios, including Additional Chief Secretary to the Government of West Bengal in the Department of Industry, Commerce and Enterprises.An alumnus of JNU with a PhD in Management and degrees in Law, History, and Literature, Dr. Chopra has authored influential books such as We, the People of the States of Bharat: The Making and Remaking of India's Internal Boundaries and The Great Conciliator: Lal Bahadur Shastri and the Transformation of India. Currently residing in Dehradun, he is the founder and curator of the "Valley of Words" International Literary and Arts Festival, continuing to bridge the worlds of governance and literature.

China saw strong growth in new foreign-invested firms in 2025, with over 70,000 established—up 19 percent—while FDI stayed above $100 billion, led by gains in e-commerce, medical devices, and aerospace.

In this episode of The Cybersecurity Defenders Podcast, we discuss some intel being shared in the LimaCharlie community.Security researchers at Check Point have uncovered a previously unknown Linux malware framework named VoidLink, which stands out for its complexity and modular design.Researchers at Trend Micro have identified a new phishing campaign that combines legitimate services and open-source tools to distribute AsyncRAT, a commodity-remote access trojan.New research into Predator spyware reveals a deeper level of sophistication and operational intelligence than previously understood.The widespread adoption of AI agents in enterprise environments is creating a new class of identity and access control risks as highlighted in a new report from The Hacker News.Support our show by sharing your favorite episodes with a friend, subscribe, give us a rating or leave a comment on your podcast platform.This podcast is brought to you by LimaCharlie, maker of the SecOps Cloud Platform, infrastructure for SecOps where everything is built API first. Scale with confidence as your business grows. Start today for free at limacharlie.io.

Enterprises aren't failing at AI. They're failing at data. Daniel Docter, Managing Director at Dell Technologies Capital, shares why the biggest barrier to enterprise AI isn't models or talent—it's the fractured, unstructured, and context-free data that most companies still struggle to harness. In this episode of Technovation, Daniel and Peter High explore: Why data context is critical to enabling enterprise reasoning How Redis and other startups are fixing the AI performance gap What Dell Technologies Capital looks for in early-stage enterprise AI How corporate VC has evolved into a founder-enabling force Why the next five years will reward enterprises that fix their data layer

SHOW: 992SHOW TRANSCRIPT: The Cloudcast #992 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS" SHOW NOTES:Tonic.ai websiteTonic Validate Product PageTonic Validate GitHubTopic 1 - Adam, welcome to the show. Give everyone a brief introduction.Topic 2: Our topic today is RAG systems, specifically RAG in production. Let's start with customization sources and types. When it comes to customizing off-the-shelf LLMs, RAG is one option, as is an MCP connection to a SQL database, and there is pre- and post-training, as well as fine-tuning. How does an organization decide what path is best for customization?Topic 3 - RAG came on the scene as the savior for organizations that want to use customer AI without the need for fine-tuning and additional training. It has either gone through or is currently still in the trough of disillusionment. What are your thoughts on RAG's evolution and the challenges it faces?Topic 4 - Let's walk through the basics of validation. Once you set up RAG, how would an organization know it works? How is accuracy measured and validated? Are you looking for hallucinations? Context quality?Topic 5 - What is Tonic Validate, and where does it fit into this stack? Is it in band? Out of band? Built into the CI workflow?Topic 6 - Accuracy is one aspect, but we hear more and more about ROI for Enterprises. How should ROI, risk, and compliance be measured?Topic 7 - Where and how does security fit into all of this? Also, your thoughts on synthetic data for training vs. real data?Topic 8 - If anyone is interested, what's the best way to get started?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

The Drunk Guys eye more beer this week when they “read” Magic Eye III by N.E. Thing Enterprises. They read the labels on: Edge Consciousness by Threes Brewing and Seeing Things by Other Half. Join the Drunk Guys next Tuesday when they “read” Origami Extravaganza! The Drunk Guys now have a Patreon! The Drunk Guys Book Club Podcast can be found on Apple Podcasts, Google Podcasts, Spotify, Stitcher, PlayerFM, Overcast, and where ever fine podcasts can be found. We are also part of the Hopped Up Network of independent beer podcasters. If you're drunk enough to enjoy the Podcast, please give us a rating. To save time, just round up to five stars. Also, please follow us on Twitter, Instagram, and Facebook. There's no excuse to miss another Drunk Guys episode, announcement, or typo!

In this episode of the IoT For All Podcast, Nick Earle, Executive Chairman at Eseye, joins Ryan Chacon to discuss the relationship between IoT and AI and where it will go in 2026 and beyond. The conversation also covers the evolution of IoT connectivity and 5G, AT&T's global SIM solution, partnering with Amazon, the significance of IoT data in AI development, and predictions for edge computing and AI.Nick Earle is the Executive Chairman of Eseye, a global leader in IoT connectivity solutions. With over 30 years of experience in technology leadership, Nick has held senior roles at Cisco, Hewlett Packard, and Virgin Hyperloop One, where he drove transformative initiatives and global growth. At Eseye, he champions seamless IoT connectivity for Mobile Network Operators and Enterprises worldwide, serving customers in over 190 countries. Nick is a published author and recipient of multiple industry awards, including IoT Global Awards' CxO of the Year.As a global leader in IoT Connectivity and eSIM Orchestration, Eseye empowers Enterprises and MNOs to deliver high-performing global IoT. They provide the expertise to integrate, manage, and orchestrate IoT connectivity for any scale or complexity, intelligently optimizing connections to millions of devices across 190 countries, leveraging over 800 networks all with near-100% uptime.Eseye's innovative eSIM Orchestration technology offers advanced federated localization, enabling MNOs and Enterprises to seamlessly manage eSIM profiles across regions and platforms, ensuring global scalability with localized precision. With decades of delivery for companies like AT&T, MTN, TELUS, Amazon, and Shell, Eseye provides resilient, fully managed, and future-proofed IoT connectivity for lasting success.Discover more about IoT and AI at https://www.iotforall.comFind IoT solutions: https://marketplace.iotforall.comMore about Eseye: https://www.eseye.comConnect with Nick: https://www.linkedin.com/in/nearle/Subscribe on YouTube: https://bit.ly/2NlcEwmJoin Our Newsletter: https://newsletter.iotforall.comFollow Us on Social: https://linktr.ee/iot4all

Today's guest is Prukalpa Sankar, Co-Founder & CEO at Atlan. Atlan is a metadata platform delivering data and AI governance. Combining enterprise data with AI infrastructure with business context and security, Atlan allows humans and AI agents to find, trust, and govern data across the entire enterprise. Prukalpa joins Emerj Editorial Director Matthew DeMello to unpack why so many enterprise AI pilots still fail in production — and why solving for context rather than just data volume or model complexity is becoming the decisive factor. The conversation also highlights how leading enterprises are closing this context gap and what "context readiness" means for any organisation aiming to operationalise AI in 2026. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! This episode is sponsored by Atlan.

Matt Fitzpatrick is the CEO of Invisible Technologies, leading the company's mission to make AI work. Since joining as CEO in January 2025, he has raised $100M, hit the $200M ARR milestone and accelerated AI adoption across industries from sports to consumer and government. Previously, Matt was a Senior Partner at McKinsey, where he led QuantumBlack Labs, the firm's AI R&D and software development arm. AGENDA: 04:40 Interview with Matt Fitzpatrick: Career Journey and Leadership 09:35 The Single Biggest Barriers to Enterprises Adopting AI 15:26 It is BS That Enterprises Can Adopt AI Without Forward-Deployed Engineers 28:05 Are AI Talent Marketplaces Dead? What is the best model? 46:33 How Does the Data Labelling Market Shake Out: Who Wins/ Who Loses 48:27 Are Revenue Numbers for Data Labelling Real Revenue? Or GMV? 51:20 Best Capital Allocation Decision? What did Matt Learn from it? 53:19 How Important is Brand for AI Companies Selling Into Enterprise? 01:05:59 Remote Work vs. In-Person Collaboration 01:17:06 What Does No-One Know About the Future of AI That Everyone Should Know