Podcasts about enterprises

Enterprises are operationalizing artificial intelligence at scale, moving from experimentation to accountability. Gabriele Ricci of Takeda and Board Director Karenann Terrell discuss how leaders can embed AI into core operations, address unfinished digital foundations, and measure success by outcomes—not through pilots.

We had the opportunity to sit down with the founder and director of the Karma Enterprises Group, Rich Musal for a conversation about what they do for small to large businesses. In a nutshell, the goal is to help these companies make more money by better understanding some, often, misunderstood business practices. From corporate financial consulting to ongoing CFO training this is the company that has a proven track record.  Meet Rich: Thanks for listening! The award winning Insight on Business the News Hour with Michael Libbie is the only weekday business news podcast in the Midwest. The national, regional and some local business news along with long-form business interviews can be heard Monday - Friday. You can subscribe on  PlayerFM, Podbean, iTunes, Spotify, Stitcher or TuneIn Radio. And you can catch The Business News Hour Week in Review each Sunday Noon Central on News/Talk 1540 KXEL. The Business News Hour is a production of Insight Advertising, Marketing & Communications. You can follow us on Twitter @IoB_NewsHour...and on Threads @Insight_On_Business.  

A strong desire always carries with it the power for success. “Psychologists agree that we influence people and events by having great desires and great goals. It is as though everything, and everybody subconsciously tunes into our big desires and goals and gets busy helping us to achieve them.” —Catherine Ponder. Your big ideas, bold desires, and lofty goals carry a stronger, creative accomplishing force than small ones. They magnetize people, events, and unforeseen forces to bring them to life. By contrast, “playing small” weakens desire, and dissipates results. Do not diminish the truth about what is that you really really want. Accept it! Never feel ashamed of the great good you desire, it's God's gift waiting upon your acceptance. Jillian Gotlib joins Darrell Fusaro in sharing experiences of how the bigger, bolder, daring desire—when acted upon—releases a magnetic force that causes people and circumstances that support your desire to appear in your life with divine timing. Join the Prospering Patreon Community: www.Patreon.com/FunniestThing

Enterprise data estates often optimize for platform expansion over decision velocity, producing reporting layers that signal activity but fail to accelerate strategic outcomes. In this episode, Barry McCardel, CEO at Hex, examines how leading organizations can compress the gap between executive questions and decision-grade insight to materially increase the enterprise value of data. The discussion focuses on tightening feedback loops, operationalizing collaborative and AI-augmented analysis, and redefining data ROI around adoption, trust, and measurable business impact rather than production metrics. This episode is sponsored by Hex. Learn how brands work with Emerj and other Emerj Media options at emerj.com/partner. Want to share your AI adoption story with executive peers? Click emerj.com/expert for more information and to be a potential future guest on the 'AI in Business' podcast!

Send a textOn this week's episode of the WTR Small-Cap Spotlight, Matt Edelman, CEO and Chairman of Super League Enterprise (NASDAQ: SLE), joined Tim Gerdeman, Vice Chair & Co-Founder and Chief Marketing Officer of Water Tower Research, and James Kisner, Technology Analyst at Water Tower Research. Super League helps brands reach gaming audiences through scalable ad products and interactive experiences inside platforms like Roblox, Fortnite, and Minecraft, and applies play-driven behavioral insights to drive advertising performance across digital video, social media, and connected TV. Edelman walks through the company's successful recapitalization, which eliminated all debt and positioned the business to scale, and highlights recent brand campaigns with Google and Panda Express. He describes how recent acquisitions and partnerships are consolidating gamer data into a unified intelligence platform, and discusses growing operating momentum heading into 2026 as the company targets sustainable profitability.

The Untold Power of Music Publishing Yung Lan Music Manager Ruchir Mohan REVEALS Insider Strategies! Dive deep into the evolving world of songwriter and producer management!

Key Takeaways Herain Oberoi, Microsoft's general manager for data security, privacy, and compliance, recently held a session where he outlined top security challeneges within the AI era. Specifically, Oberoi outlined three concerns enterprises must address to build secure, scalable AI operations. He stressed strict access controls and disciplined data hygiene to prevent oversharing and sensitive data leakage. Second, regulatory compliance now requires continuous auditability of AI agent operations, with Microsoft Purview Compliance Manager enabling on-demand proof of control. Finally, fragmented solutions increase cost and complexity, while expanded Purview unifies data security, governance, and compliance in a single pane of glass. Enterprises that quickly adapt to rising security expectations will be best positioned to scale AE operations and realize the full value of the AE era. Visit Cloud Wars for more.

Host: Annik Sobing Guests: Jennifer Varney (Volvo Group), Penny Chen (PAX) Recorded at: ICPA Conference, San Antonio, TX Published: March 2026 Length: ~25 minutes Presented by: Global Training Center AI Meets Trade Compliance: From Auto Supply Chains to AI Live from ICPA San Antonio, Annik sits down with Jennifer from Volvo Group and Penny from PAX for an all‑women, International Women's Day‑timed conversation about how AI is actually being used in trade compliance today—far beyond the buzzwords. They explore the reality of AI inside a massively complex automotive supply chain, how duty drawback is being reimagined with AI, and what trade teams should think about before buying or building any tools.​ What You'll Learn in This Episode Session highlights from ICPA Jennifer: Practical implementation of AI to support customs clearance at the enterprise level—how one company uses AI to survive an “ever‑changing and incredibly volatile” trade landscape. Penny: A “beginner‑friendly” intro to general AI tools, how large language models work, and how trade compliance leaders can evaluate AI quality and fit.​ The automotive reality: 1,000+ policy changes and thousands of parts In just the last year, there have been 1,000+ trade policy changes worldwide, affecting about 5 trillion dollars in spend. Most of the real impact comes from trade barrier changes, not facilitation measures. A single vehicle can have 2,000–3,000 parts sourced from thousands of suppliers globally, some in‑house, some external. New demands around Section 232 (steel/aluminum/copper), forced labor, EUDR, connected vehicle rules, dual‑use, etc. mean OEMs must know their supply base down to raw material origin and processing, sometimes 5–6 tiers deep.​ Why human-only workflows can't keep up Many tier‑1 suppliers don't even have the data OEMs now must report, or consider it proprietary. Trade teams are drowning in documentation, entry creation, and ever‑changing regulatory demands—falling behind risks blocked shipments and massive cost. Jennifer's view: AI is less about replacing people and more about augmenting limited resources before they're “buried under all of the legislative changes.”​ Where AI fits in (and where it doesn't) Example use case: consolidating multiple documents (PO, invoice, BL, shipping manifest) to build a single 7501—AI reads different formats, extracts the right fields, and populates data so humans review instead of retyping. Penny's rule of thumb: if it's a task you'd happily delegate to an intern, it's a candidate for automation or semi‑automation. AI frees people to focus on high‑value work: audits, wider coverage (5% → 99%), forecasting regulatory changes, and adjusting systems/processes for what's coming next.​ Starting your AI journey: practical adoption path Step 1: Use free or existing tools (e.g., Microsoft Copilot) for summaries, data cleaning, and simple tasks. Step 2: When needs get more complex, consider specialized AI tools (like PAX's AI‑powered duty drawback service), but pair them with solid ROI analysis: cost vs. time savings vs. recovered dollars. Step 3: For large enterprises, begin with defining pain points and a data strategy: Where do you spend the most time? Which activity is eating 90% of your bandwidth? What data will go into AI, and what exactly do you want back out?​ Overcoming fear and building buy‑in Penny's take: curiosity is your best ally—if you don't know how to use AI, start by asking AI how to use AI. Jennifer's advice: Engage stakeholders early; give them a voice in how the tool is designed and used. Set realistic expectations—even with aggressive automation, maybe only ~30% of workload can be automated today. Focus human effort on strategy and change management, not repetitive admin.​ Choosing the “right” AI for your team Not every company needs every AI—e.g., if you classify one item a month, a classification platform may not be worth it. For trade leaders, tool selection should be guided by: Where you lose the most time or money. Data type mix (text + structured data). Compliance/guardrail needs and vendor transparency about models and controls. Conferences like ICPA are key: they surface real use cases, connect trade and tech experts, and help teams refine what they actually need.​ International Women's Day Spotlight This episode also celebrates International Women's Day and highlights women leading in trade, tech, and compliance—from OEMs to AI startups. Annik closes with a shoutout to all women in trade who are building, leading, and pushing the industry forward.​ Credits Host: Annik Sobing Guests: Jennifer (Volvo Group), Penny (PAX) Recorded at: ICPA Conference, San Antonio, TX   Listen & Subscribe Simply Trade main page: https://simplytrade.podbean.com​ Apple Podcasts: https://podcasts.apple.com/us/podcast/simply-trade/id1640329690​ Spotify: https://open.spotify.com/show/09m199JO6fuNumbcrHTkGq​ Amazon Music: https://music.amazon.com/podcasts/8de7d7fa-38e0-41b2-bad3-b8a3c5dc4cda/simply-trade​ Connect with Simply Trade Podcast page: https://www.globaltrainingcenter.com/simply-trade-podcast​ LinkedIn: https://www.linkedin.com/showcase/simply-trade-podcast​ YouTube: https://www.youtube.com/@SimplyTradePod​ Join the Trade Geeks Community Trade Geeks (by Global Training Center): https://globaltrainingcenter.com/trade-geeks/  

How confident are you that your business could recover from a cyberattack, cloud outage, or infrastructure failure in minutes rather than hours or even days? In this episode of Tech Talks Daily, I explore the changing nature of enterprise resilience with Joseph D'Angelo and Cassie Stanek from InfoScale, now part of Cloud Software Group. Our conversation looks at why many organizations still rely on backup and replication strategies that were designed for a very different era of IT. In a world of hybrid infrastructure, multi-cloud deployments, and increasingly complex application stacks, those traditional tools often protect the data but often fail to restore the business services that depend on it. My guests shares how InfoScale approaches resilience from the application layer outward. Instead of focusing on individual components such as storage or infrastructure, the platform looks at the relationships between applications, services, and data so entire systems can be orchestrated and recovered as a coordinated unit. That distinction becomes especially important during a ransomware attack or cloud outage, where restoring a single database rarely brings a digital business back online. We also discuss how growing regulatory pressure is changing the conversation. Enterprises are no longer expected to simply claim they have disaster recovery processes in place. Increasingly they must demonstrate, test, and prove that recovery capabilities actually work. Cassie explains how controlled "fire drill" rehearsals allow organizations to validate recovery plans without disrupting production systems, creating defensible proof that systems can be restored when it matters most. We also look ahead to the next phase of resilience, where environments will increasingly diagnose, adapt, and respond to disruptions in real time. Instead of reacting after an outage occurs, operational resilience will rely on predictive analytics, anomaly detection, and automated response capabilities that allow systems to self-correct before users ever notice a problem. Throughout our discussion, one theme becomes clear. IT resilience is no longer just an infrastructure conversation. It has become a business continuity strategy that directly affects revenue, customer trust, and competitive advantage. As organizations depend more heavily on digital services, the ability to recover quickly from disruption is becoming one of the defining capabilities of modern enterprise technology. So after listening, I'm curious about your perspective. Do you think most organizations are truly prepared for operational resilience in a multi-cloud world, or are many still relying on backup strategies that were built for a much simpler IT environment?

Woodson Martin, CEO ofOutSystems, argues that successful enterprise AI deployments rarely rely on standalone agents. Instead, production systems combine AI agents with data, workflows, APIs, applications, and human oversight. While claims that “95% of agent pilots fail” are common, Martin suggests many of those pilots were simply low-commitment experiments made possible by the low cost of testing AI. Enterprises that succeed typically keep humans in the loop, at least initially, to review recommendations and maintain control over decisions. Current enterprise use cases for agents include document processing, decision support, and personalized outputs. When integrated into broader systems, these applications can deliver measurable productivity gains. For example,Travel Essencebuilt an agentic system that reduced a two-hour customer planning process to three minutes, allowing staff to focus more on sales and helping drive 20% top-line growth. Martin also believes AI will pressure traditional SaaS seat-based pricing and accelerate custom software development. In this environment, governed platforms like OutSystems can help enterprises adopt “vibe coding” while maintaining compliance, security, and lifecycle management. Learn more from The New Stack about the latest developments around enterprise adoption of vibe coding: How To Use Vibe Coding Safely in the Enterprise 5 Challenges With Vibe Coding for Enterprises  Vibe Coding: The Shadow IT Problem No One Saw Coming Join our community of newsletter subscribers to stay on top of the news and at the top of your game. 

Reltio crossed $185M in ARR and saw 58% growth in the second half of the year. That kind of acceleration in an enterprise platform signals strong market pull. At the DataDriven Conference 2026, I sat down with Alyson Welch, CRO of Reltio, to talk about what customers are actually asking for in the age of AI.Alyson owns the full customer journey, from acquisition to support, and also leads the partner ecosystem. Her lens is simple. If the customer does not see value in their data, nothing else matters.One insight stood out. Enterprises are drowning in applications. One former CIO shared she had 1,500 enterprise apps to manage. That means data is locked everywhere. The real demand today is not just dashboards or models. It is a trusted, unified data layer that sits between enterprise systems and AI.That is where Reltio is focused. Bringing accuracy, trust, and unification so companies can actually use their data across environments.We also discussed agentic workflows. In an agent-driven world, your data foundation cannot be average. Every automated decision depends on it. This is not just a tech shift. It is a cultural shift. Leaders now have to think about how humans and AI agents work together and how to build capability across both.The momentum reflects this shift. This conversation was about trust, scale, and what it really takes to lead in the AI era.#data #ai #datadriven #reltio #theravitshow

In this episode, we sit down with Josh Little from G3 Enterprises to discuss the company's deep roots in the wine and ag hauling industry and the innovations shaping its future. From early influences in agriculture to G3's commitment to sustainability, logistics, and grower partnerships, this conversation explores how the company continues to evolve while maintaining the values that built its reputation. We also dive into trends impacting the wine and spirits supply chain, the role of technology in modern agriculture, and advice for the next generation entering the industry.

The most consequential development highlighted in the episode is Anthropic's refusal to alter its AI contract terms for the US federal government, specifically regarding the prohibition of mass domestic surveillance and the deployment of autonomous lethal robots. Anthropic declined to allow the government unrestricted, legally permitted use of its software, resulting in the cancellation of a $200 million federal contract and the company's designation as a supply chain threat. This sequence underscores ongoing concerns about ethical, operational, and governance risks associated with AI technologies deployed at scale by government agencies. Supporting details reveal that all other major AI providers servicing federal contracts—including OpenAI, Google, and xAI—agreed to the government's revised terms, which permit any legal use without restriction. According to Amy Babinchak, Anthropic's stance was based on reliability and readiness issues in its platform, specifically in domains of domestic surveillance and fully autonomous military systems, which remain controversial from both technical and moral standpoints. The government's response, involving not only contract withdrawal but restrictions on federal contractor usage, demonstrates the gravity of compliance expectations and supply chain security considerations. The episode also addresses practical strategies for MSPs seeking to establish themselves as trusted local providers. James Kernan and Amy Babinchak emphasize consistent community engagement, including recurring events, charitable involvement, and practical low-cost networking tactics such as sponsoring social gatherings at local venues. The importance of consistent marketing, ongoing relationship-building with prospects and partners, and active participation in local business organizations are discussed. Additionally, operational news from the IT sector, such as the moderate decline in wage inflation since 2022 and the continued rise in IT spending, is briefly reviewed, as is product development by vendors like NinjaOne adding asset management capabilities. For MSPs, IT service providers, and technology decision-makers, the episode provides quantifiable insights concerning operational risk, vendor accountability, and compliance tradeoffs. AI adoption at enterprise or governmental levels requires rigorous evaluation of contractual terms, ethical boundaries, and supply chain impact. Local reputation-building demands sustained effort and investment, while operational trends such as wage stabilization and product enhancements reflect current market realities. Taken together, these developments point to the need for increased diligence in risk management, careful vendor selection, and ongoing community-facing operations to achieve sustainable business outcomes.   Topics / Events:   https://businessof.tech/2026/02/02/it-services-market-growth-to-1-09t-coincides-with-declining-wage-inflation/ North America IT Services Market is projected to grow significantly, rising from approximately $602.15 billion in 2025 to about $1.09 trillion by 2033, representing a compound annual growth rate of 7.72%. Global technology spending is on the rise,  marking a 7.8% increase as generative artificial intelligence drives the surge. Enterprises are focusing on AI talent, with job postings related to AI accounting for 20% of available tech roles Terms of Service – FEDERAL GOVT  AI   - https://podcasts.apple.com/us/podcast/the-pentagon-vs-anthropic-an-a-i-agent-slandered/id1528594034?i=1000750653008 https://businessof.tech/2026/02/10/ninjaone-adds-asset-management-zoom-launches-ai-workspace-tool-jumpcloud-opens-vc-arm/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Everyone talks about AI agents. Very few talk about what they actually change inside enterprises. At the DataDriven Conference, Ravit Jain sat down with Rajeev Krishnan from PwC to unpack what the agentic shift really means for data, governance, and Master Data Management.PwC and Reltio have been working together for years, but the conversation is now moving beyond implementations to real business outcomes. Rajeev shared how their Agent OS ecosystem is being integrated with Reltio to deploy agents that handle tasks data teams have struggled with for years. Things like resolving match queues, auto-classifying records, and improving data quality without constant manual effort.What makes this important is simple. Enterprises already know they need trusted master data. The challenge has always been the operational burden required to maintain it. Agentic AI is starting to change that equation by reducing operational cost while strengthening the data foundation needed for AI-driven decisions.We also discussed what leaders are wrestling with in 2026. Two themes stood out.First, governance is no longer just about data. It is about governing data in the age of AI.Second, organizations are facing a real tension between using data to power AI and using AI to fix their data. The right path depends on the use case, not a one size fits all strategy.It was a grounded conversation about how enterprises are moving from AI experiments to operational impact.#data #ai #datadriven #reltio #theravitshow

Dan Fernandez is the Vice President of Digital Marketing and Strategy at Concord Hospitality Enterprises, a leading U.S. hotel management and development company.He's a recognized leader in digital marketing, branding, and hospitality strategy with over 15 years of experience in luxury and lifestyle segments. He has led high-performing teams at top agencies and shaped digital strategies for iconic properties like Hotel del Coronado, The Broadmoor, The Breakers Palm Beach, Rosewood Hotel Group, The Standard Hotels, and Montage International.Dan champions innovation, fosters passionate talent, and serves on marketing advisory boards for HSMAI, Hilton, and Marriott International. In 2025, he was honored as one of HSMAI's Top 25 Extraordinary Minds for pushing boundaries in digital engagement and hospitality marketing.He holds a Bachelor of Business Administration in Management and Marketing from Florida Atlantic University.

In this HFS Research videocast with Mindsprint, Ashish Chaturvedi speaks with Rohit Sharma and Unnikrishnan Sasikumar on how supply chains are moving from visibility to intelligence amid disruption—shifting from AI pilots to outcome-led transformation (working capital, margin, customer experience). They explore what's driving demand today including real-time planning, control towers, supplier collaboration, predictive analytics and what's next: agentic AI for exception handling and the path to autonomous supply chains, grounded in trustworthy data foundations and an ecosystem approach across SAP/Microsoft cores plus specialist startups. Key discussion points include:Enterprise demand today is still centered on “visibility + decision support.” Most current programs focus on real-time planning, control towers, supplier collaboration, and AI-driven dashboards/analytics to enable faster decisions during disruption. Clear shift from tactical work to integrated, tech-enabled operations. Buyers are moving away from manual Excel forecasting and siloed portals toward integrated solutions that support automated exception handling (including agentic AI), plus broader ecosystem collaboration and traceability.A widening “spend today vs build tomorrow” gap is shaping strategy. Enterprises are still investing heavily in analytics modernization, cloud, and data foundations, while major tech vendors are pushing hard on generative AI and agentic architectures—creating a sequencing challenge. Trustworthy data is the gating factor for autonomous supply chains. The conversation emphasizes that without strong data foundations (freshness, accuracy, governance, and resolving conflicting data sources), autonomy can create bad decisions (e.g., stock-out risk when systems think safety stock exists). Organizational capabilities matter as much as technology. Beyond platforms and tools, capability building and guardrails (e.g., CoE / governance frameworks) are positioned as essential to unlock value from data and AI.The partner stack is hybrid: ERP core plus startup innovation. SAP and Microsoft are described as dominant “core” stacks, while many enterprises augment them with specialist startups/scale-ups for niche planning, visibility, risk, and sustainability, requiring an ecosystem approach.Progress is real, but not linear. Enterprises are still getting foundations right, even as the tech investment trajectory points clearly toward more autonomous, AI-driven supply chain operations.Read the HFS Horizons Report on Intelligent Supply Chain Services 2025: https://www.hfsresearch.com/research/hfs-horizons-intelligent-supply-chain-services-2025

Farm groups urge Congress to move quickly on a new Farm Bill, and some U.S. farmers are turning to specialty crops and alternative enterprises as low commodity prices and high input costs squeeze traditional farm profits.

Send a textZack Oates sits down with John F. Maggio of JM Enterprises to explore what it really takes to build enduring consumer brands. From co-founding Boulder Canyon Chips to working with brands like Justin's, Duke's Smoked Meats, Bigs Seeds, Jackson's, Good Day Chocolate, and Cocktail Squad, John shares lessons from decades in CPG.They discuss how restaurant brands should evaluate entering retail, why timing and category momentum matter, and the four pillars John uses to determine whether a brand is truly investable. He also explains why flavor ultimately wins and how “return on luck” plays a role in long term success.Zack and John discuss: What makes a CPG brand scalable When restaurants should enter retail The role of timing and luck Why flavor always matters Brand, market, team, and capital alignmentThanks, John!Links:https://www.linkedin.com/in/john-f-maggio-b98b593/https://www.instagram.com/cocktailsquad/?hl=en

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 Michael Dorn, who played Lt. Commander Worf (everyone's favorite Klingon) on the various Enterprises in "Star Trek: The Next Generation," and in "Deep Space Nine." Please join us in praying that he 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

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.

Geneva Enterprises, LLC v. Aaron Chavez

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

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.

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.

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.

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/