Podcast appearances and mentions of bob evans

In this Cloud Wars Special report, Bob Evans speaks with Jan Gilg about how AI is reshaping enterprise software and why the next phase of innovation will depend on trust, governance, business outcomes, and clean data. Gilg explains how SAP is positioning its Autonomous Suite as a foundation for the autonomous enterprise, combining ERP, business processes, and AI agents. Trust Powers Enterprise AI The Big Themes: Autonomous Enterprise Vision: Jan Gilg said Sapphire generated strong enthusiasm because customers finally heard a clear vision for enterprise AI. Rather than focusing solely on AI models or isolated features, SAP presented an integrated strategy built around the Autonomous Suite and Business AI. While consumer AI has dramatically improved personal productivity, enterprise leaders need AI that can help make critical business decisions and automate end-to-end processes. SAP's message resonated because it connected AI directly to business execution, positioning enterprise systems as the foundation for autonomous operations rather than treating AI as a standalone technology layer. AI Economics Matter: Another major topic was the cost of AI. Gilg noted that enterprises are becoming increasingly focused on transparency, consumption, and measurable outcomes. As AI usage expands, costs can grow rapidly, creating new concerns for business leaders. Customers want detailed visibility into which agents are being used, how resources are consumed, and whether the resulting business value justifies the expense. Gilg compared this need for transparency to a detailed telephone bill. Data Quality Determines Success: The interview concluded with examples demonstrating that AI success depends heavily on modernized systems and clean data. Gilg spoke of initiatives involving retailers such as H&M, where AI can improve customer experiences, fulfillment, and revenue generation. He also referenced work with Bayer and discussed ExxonMobil's modernization journey. These examples reinforced a key point: AI delivers the greatest value when built on standardized processes, strong master data, and simplified architectures. The Big Quote: “You have to lead with value. Yes, technology is exciting, but it does nothing if the customer doesn't see the outcome." More from Jan Gilg and SAP: Follow Jan Gilg on LinkedIn or learn more about Autonomous Suite. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I dive into Oracle's remarkable Q4 earnings report, where the company delivered results that exceeded expectations across the board. Highlights 00:02 — We had a monster Q4 report from Oracle yesterday, absolutely crushed their numbers for Q4, led by an astonishing leap in their backlog or remaining performance obligation (RPO) of $638 billion, That's an increase of 363%. And no, those are not misprints. 00:29 — RPO represents business that's fully contracted, not yet recognized as revenue, so it's pipeline backlog, as opposed to revenue, which has already been posted for what has happened in the past. So I wanted to quickly pop out a couple highlights here that go along with that. Just remarkable RPO growth, cloud revenue overall was up 47% to 9.9 billion. 00:56 — Within that, cloud applications grew 10% to 4.1 billion, and the big star of the company, now their cloud infrastructure business was up 93% to $5.8 billion. One other number that Oracle put in its Q4 press release, that is pretty darn impressive, their multi-cloud AI database business, they said, was up 404% and they said that now makes this the fastest growing product in the company's history. 02:11 — Looking ahead a little bit, Oracle guided in Q1, they said their cloud business will grow between 57 and 63% so caught about 60% and that extends a long running streak of fast growing numbers there for Oracle's cloud revenue or cloud business. 02:33 — Oracle also said in its Q4 press release that it will be doing no more borrowing to fund its data center expansion throughout for calendar 2026, certainly possible for next year, but for this calendar year, no more borrowing. I think most people would yawn or overlook that fact. There have been a lot of folks on Wall Street, though as I've mentioned, that this has caused them fainting spells and pearl clutching, because they, nobody's done this before. 03:44 — Now, I don't know, I don't think there's a lot of companies that have run into that challenge before. It's a delightful challenge to have, but it is not something that you know a lot of companies can just, you know, reach into the petty cash box and say, you know, here's $100 billion $200 billion dollars to fund it. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I analyze how Sana is helping Workday transform from a system of record into a system of action. Highlights 0:00 — Workday has announced two new agents: Sana for IT Service Management, or ITSM, and Sana Travel Agent. To recap, Workday acquired Sana at the end of 2025, and since then, the technology has evolved into Workday's employee AI layer, what the company describes as its "front door for work." 0:42 — Sana for ITSM automates workflows for tasks like employee onboarding, off-boarding, access changes, and standard IT requests, while the Sana Travel Agent helps employees plan work trips, book travel, and manage expenses. Both agents are built directly on Workday, meaning they have the same security and governance protocols by default, and tap into the bespoke contextual company data and policy information contained within the platform. 00:57 — Cloud Wars founder Bob Evans commented on the development in the official Workday press release: "Extending agents into adjacent workflows like onboarding, travel, and expenses, where Workday already has the people and finance data and policies, is not only practical but also a transformational way to help HR and finance leaders meet and exceed their objectives." 01:25 — Workday's acquisition of Sana was a pivotal moment in the company's recent history and accelerated its push in the enterprise AI era. The deal signaled a strategic evolution beyond Workday's traditional role as a system of record for HR and finance processes. 01:44 — At the same time, that deep system of record foundation is exactly what makes Sana's autonomous AI agents such a strong fit, because the agents can operate with rich context, permissions, policy, and workflow data already embedded within the platform.     Visit Cloud Wars for more.

In this Cloud Wars conversation, Bob Evans sits down with Bonnie Tinder, Founder and CEO of Raven Intelligence, to discuss how AI is reshaping the systems-integrator (SI) market. Their discussion explores how AI-powered migration agents, deployment assistants, and new implementation models are dramatically reducing project timelines, staffing requirements, and costs. Bonnie explains why traditional implementation approaches are giving way to leaner, expertise-driven engagements centered on outcomes rather than labor hours. Episode 60 | Outcomes Beat Implementations The Big Themes: AI Compresses Implementation Costs: Tinder notes that organizations often spend 10 to 11 times the cost of software licenses on implementation services. AI is beginning to challenge that model by automating some of the most labor-intensive aspects of projects, particularly data migration and system conversion work. Migration agents and deployment assistants can significantly reduce the need for large teams of junior consultants performing repetitive tasks. As implementation timelines shrink and staffing requirements decline, customers will increasingly expect lower costs and faster results. Vendors are also pushing for these efficiencies because lengthy implementations delay customer value realization. The result is mounting pressure across the SI industry to adopt AI-enabled delivery models that are leaner, faster, and more outcome-focused. Outcome-Based Thinking Is Accelerating: Throughout the discussion, Bob and Bonnie discuss the growing demand for measurable business outcomes. Customers are increasingly unwilling to tolerate expensive implementations that fail to deliver value. This pressure is encouraging software vendors and SI firms to move toward outcome-oriented engagements and pricing models. Instead of charging primarily for labor and project duration, firms must demonstrate tangible improvements in efficiency, productivity, or business performance. Boutique Firms May Gain an Advantage: Bonnie sees a major opportunity for boutique consulting firms in the AI Era. Historically, large global systems integrators benefited from scale, brand recognition, and access to specialized tools. AI is leveling parts of that playing field by making sophisticated capabilities more broadly available. Smaller firms can now compete using many of the same technologies while offering highly experienced teams and direct client engagement. Visit Cloud Wars for more.

Hector Corona, founder of City Kids Camp, along with Bob Evans, Development, City Kids Camp, join Lisa Dent and John Williams in-studio to talk about City Kids Camp during the 2026 Radiothon, the different activities and amenities that the money will go to, and later, we hear from some of the many kids that have gotten […]

Hector Corona, founder of City Kids Camp, along with Bob Evans, Development, City Kids Camp, join Lisa Dent and John Williams in-studio to talk about City Kids Camp during the 2026 Radiothon, the different activities and amenities that the money will go to, and later, we hear from some of the many kids that have gotten […]

Hector Corona, founder of City Kids Camp, along with Bob Evans, Development, City Kids Camp, join Lisa Dent and John Williams in-studio to talk about City Kids Camp during the 2026 Radiothon, the different activities and amenities that the money will go to, and later, we hear from some of the many kids that have gotten […]

Hector Corona, founder of City Kids Camp, along with Bob Evans, Development, City Kids Camp, join Lisa Dent and John Williams in-studio to talk about City Kids Camp during the 2026 Radiothon, the different activities and amenities that the money will go to, and later, we hear from some of the many kids that have gotten […]

Bonnie Tinder is the founder and CEO of Raven Intelligence, an independent B2B peer review site that amplifies the voice of the customer. She focuses on software customers, consulting partners, and software vendors and helps identify the best partners for their needs. In this episode, she and Bob Evans speak about Workday's accelerating AI transformation following its Innovation Summit. Bonnie offers a practitioner's perspective on how Workday is rethinking enterprise software around agentic AI, faster deployments, embedded governance, and a startup-like culture shift under returning leadership. Episode 59 | Workday's AI Reset The Big Themes: Workday's Startup Reboot: Bonnie Tinder's biggest observation was that Workday appears to be entering a new operational chapter defined by urgency, sharper execution, and a startup mindset. Rather than behaving like an incumbent defending market share, Workday seems to be restructuring around focused AI ownership and entrepreneurial velocity. Bonnie connected this directly to Aneel Bhusri's leadership style, comparing it to Steve Jobs returning to simplify Apple's priorities. No One Wants DIY Enterprise AI: A major theme was the rejection of the “build it yourself” narrative for enterprise core systems. Bonnie and Bob both strongly challenged the idea that enterprises will vibe-code their own payroll, financials, or HCM systems. The reason is simple: risk. Enterprise systems are compliance-heavy, operationally critical, and intolerant of failure. Bonnie's “you can't get payroll 90% correct” line perfectly captured the reality. CEO Leadership Is Non-Negotiable: AI transformation must be CEO-led. Bottom-up experimentation alone is unlikely to produce meaningful enterprise change. AI affects operating models, workflows, investment priorities, talent strategy, governance, and competitive differentiation. That requires executive sponsorship and strategic ownership. Bob argued that companies cannot approach AI using 2023 or 2024 decision frameworks. Instead, leadership teams must rethink vendor evaluation, operational transformation, and business outcome measurement. Bonnie reinforced that major transformation initiatives succeed when leadership drives adoption from the top. The Big Quote: “The real AI gold rush isn't in the models, it's really that unglamorous work of moving 30-year-old legacy systems to a point where agents can actually do something with the data.” More from Bonnie Tinder: Connect with Bonnie on LinkedIn. Visit Cloud Wars for more.

In this Cloud Wars special report, Bob Evans speaks with Chad Wahlquist, Architect at Palantir, about the company's explosive Q1 performance and the deeper forces driving enterprise AI adoption. Wahlquist explains how Palantir's model goes far beyond traditional software, combining forward deployed engineering, ontology, agentic AI, and enterprise infrastructure to accelerate customer outcomes. AI Infrastructure Rising The Big Themes: AI Building AI: One of the most striking themes is the shift from companies building AI products to building AI products with AI. Wahlquist describes a major evolution in enterprise delivery models, where Palantir has moved from “boot camps” to “agent camps,” using AI agents to help rapidly construct customer solutions. This dramatically compresses timelines from projects expected to take months down to days. The deeper implication is that AI is no longer just the product layer; it is becoming the production mechanism itself. SAP Migration Gets Reinvented: The SAP partnership emerges as one of the most strategically significant parts of the discussion. Wahlquist describes Palantir helping customers accelerate complex ERP migrations, including ECC-to-S/4 transformations, acquired-company integrations, and even mainframe modernization. Traditionally, these efforts consume years and hundreds of millions of dollars. Palantir's approach uses ontology plus agentic frameworks to interpret structured and unstructured enterprise information, identify mismatches, and automate execution paths. He claims 50%+ time compression in migration work. Efficiency As Corporate Proof Point: One fascinating element is Palantir's operating model itself. Evans references Alex Karp's claim that a company of Palantir's scale would traditionally employ thousands of salespeople, while Palantir operates with a dramatically leaner commercial organization. Wahlquist argues that product effectiveness changes the equation: engineers demonstrating working systems on customer data become the real sales force. He also notes Palantir internally runs on its own software, using Foundry-based systems for CRM, ticketing, finance, and operations. This creates both operational efficiency and credibility. The Big Quote: “What I'm seeing here is really the difference between, hey, I'm building AI products to I'm building AI products with AI.” More from Chad Wahlquist: Connect with Chad on LinkedIn, or learn about Palantir Foundry. Visit Cloud Wars for more.

In this Cloud Wars conversation, Bob Evans speaks with Matt Renner, Chief Revenue Officer at Google Cloud, about the explosive acceleration of enterprise AI adoption and how Google Cloud is scaling to meet it. Renner explains why customers are demanding immediate business outcomes, not experimental pilots years down the road, and shares Google Cloud's response through expanded field engineering investments, ecosystem funding, and deeper enterprise co-creation. The discussion also explores Google's differentiated AI stack strategy, the intensifying competitive landscape, and why AI security could become one of the industry's most significant next battlegrounds.Google's AI Scaling Play The Big Themes: AI Demand Has Moved Beyond Experimentation: Matt Renner makes clear that enterprise AI has entered a fundamentally different phase. Companies are no longer satisfied with proof-of-concept experimentation or exploratory pilots. Instead, executive teams want measurable business value quickly. This urgency is reshaping vendor expectations, deployment models, and customer engagement strategies. Google Cloud is seeing demand at a pace that traditional scaling models cannot satisfy, which is driving operational changes. This is not a speculative future trend, it is already happening. The $750 Million Ecosystem Expansion Multiplies Capacity: Google Cloud's $750 million ecosystem investment complements the FDE initiative by scaling partner-led implementation capacity. Renner explains that Google alone cannot meet enterprise AI demand, so partner ecosystems become force multipliers. The strategy is to expand from hundreds of specialists into thousands of technical practitioners capable of building agents, workflows, and AI-powered solutions. This reflects a practical recognition that enterprise AI requires broad execution capability, not just core platform excellence. The AI Market Reset Is Reshaping Cloud Competition: Renner describes AI as a market reset that is materially changing competitive cloud dynamics. Google Cloud's growth rates, contrasted against hyperscaler rivals, are presented as evidence that strategic positioning matters. The broader takeaway is that AI has altered enterprise buying criteria, infrastructure priorities, and vendor differentiation. Long-term investments in chips, models, data infrastructure, and platform integration are beginning to show commercial returns. Rather than incremental cloud evolution, Renner presents this as a structural shift in the market. Enterprises are reallocating attention and budgets around AI capability. The Big Quote: “We're seeing unprecedented demand for Google Cloud products infrastructure, all driven, frankly, from AI." More from Matt Renner and Google Cloud: Connect with Matt Renner on LinkedIn or learn more about Google Cloud AI. Visit Cloud Wars for more.

Bob Evans speaks with SAP CTO Philipp Herzig from SAP Sapphire in Orlando about SAP's AI strategy, platform evolution, customer modernization challenges, governance, and enterprise-scale agent deployment. Herzig lays out SAP's positioning around openness, business AI, autonomous agents, security, and migration support, while addressing confusion around API policy changes and fair-use limits. SAP's AI Inflection Point The Big Themes: SAP's AI Platform Is Becoming Cohesive: A major theme in the conversation is that SAP is presenting a more integrated AI vision rather than a collection of disconnected announcements. Herzig describes a layered architecture spanning UX, autonomous assistants, business process orchestration, governance, and the underlying AI platform. The emphasis is on a consistent enterprise AI framework rather than isolated tools. Migration Support Is Becoming Strategic: Migration is no longer framed as a technical back-office concern. Instead, it's becoming a strategic AI enabler. Herzig discusses SAP's toolchain investments, including LeanIX, Signavio, migration automation, testing support, code modernization, and agent-assisted implementation. The idea is to reduce friction in modernization so customers can reach AI readiness faster. Instead of treating migration as merely an ERP upgrade journey, SAP increasingly positions it as foundational infrastructure for enterprise AI transformation. Change Management Extends Beyond Technology: Herzig acknowledges that deploying AI agents is not simply a software problem, it's an organizational transformation issue. While SAP can accelerate technical deployment through tooling, governance, observability, and automation, customers must still rethink workflows, roles, and operating models. The discussion around developer productivity, AI-assisted coding, and human-agent collaboration reinforces this broader perspective. The Big Quote: ““There are good agents out there… there's also a lot of really bad agents out there… and they, of course, set the enterprise system under risk.” More from SAP and Philipp Herzig: Connect with Philipp Herzig on Linkedin or learn about SAP Sapphire. Visit Cloud Wars for more.

At SAP Sapphire in Orlando, Bob Evans sat down with Sebastian Steinhäuser to discuss what may be one of the most consequential strategic shifts in SAP's history. As enterprise AI moves from experimentation to execution, Steinhäuser outlines SAP's vision for the autonomous enterprise: where AI agents, assistants, business data, and deep industry expertise come together to solve real operational problems. AI with Industry Depth The Big Themes: Customers Want Outcomes, Not AI Demos: A recurring theme in the conversation is that enterprise leaders are not buying AI for novelty. They want measurable business outcomes. Customers are focused on solving hard operational problems such as improving supply chain resilience, winning in retail execution, streamlining regulated manufacturing, and modernizing enterprise workflows. This reflects a broader evolution in enterprise buying behavior. The AI conversation has moved beyond experimentation into operational accountability. The Autonomous Enterprise Is SAP's North Star: SAP's central narrative at Sapphire is the autonomous enterprise. Steinhäuser describes a future where AI agents and human workers collaborate, with AI taking responsibility for repetitive, process-heavy, and data-intensive tasks while employees focus on higher-value decision-making. This is more than a product launch — it is SAP's strategic framework for the next phase of enterprise software. The company references hundreds of AI agents and dozens of assistants spanning functional domains. Importantly, SAP is positioning these capabilities as practical rather than speculative. Ecosystem Scale Will Determine Execution: SAP clearly sees its partner ecosystem as critical to AI transformation at scale. Steinhäuser points to thousands of ecosystem participants at Sapphire and outlines investments designed to accelerate migration, implementation, and AI activation. This reflects enterprise reality: large organizations rarely transform through software vendors alone. Systems integrators, consulting firms, implementation specialists, and migration partners often determine whether transformation succeeds. The Big Quote: “Building the technology is one thing. Really changing processes, people, and systems to adapt AI, it's a totally different one." More from SAP: Learn more about Sapphire and about Joule Assistants. Visit Cloud Wars for more.

The Grow Clinton Podcast continues its exploration of local legacy and innovation with Episode 233, featuring special guests Kayla Tegeler and Chris Mussmann from the Clinton Herald. If you have an idea for a guest or topic we should cover, please email podcast@growclinton.com. As the Herald celebrates an impressive 170 years in operation, this episode offers a compelling look at how a local newspaper has evolved alongside the community it serves.Founded on December 18, 1856, the Clinton Herald began with just 250 copies printed by a hand press, a far cry from today's modern publishing processes. In those early days, Clinton was a competitive news market, with as many as 8 newspapers initially and eventually growing to 16. The Herald's first home was located on 1st Street in the Masonic Temple building, where it operated until 1857.Like many institutions of the time, the paper faced challenges during the Civil War, temporarily suspending production before re-establishing itself in 1870. Its resilience became a defining trait, carrying over into the 20th century, when the Herald moved to its current location in 1905.A significant chapter in the paper's history began in 1910, when it was purchased by the W.J. Young family. The Young family's stewardship lasted more than 75 years, guiding the publication through periods of growth, technological change, and deeper community integration. In 1998, ownership transitioned to CNHI, a company that now operates 85 locally focused newspapers across the country.Kayla and Chris also discuss the transformation in how newspapers are produced. From hand-set type and manual presses to digital layouts and off-site printing (which shifted away from Clinton in 2012), the evolution reflects broader changes in media and technology. The conversation also highlights a lesser-known chapter in the Herald's story, its venture into television. In the early 1980s, under publisher Bob Evans, the Clinton Herald launched CHTV, a local television station that served the community until the early 2000s. This initiative underscored the organization's willingness to innovate and expand how it connects with its audience.Visit the Clinton Herald online at https://www.clintonherald.com/. Be sure to subscribe so you never miss a conversation with the people who make the Greater Clinton Region AWESOME! - Apple Music- Spotify- Amazon Music- Buzzsprout- Overcast- YouTubeFor more information about the Grow Clinton Podcast, visit https://www.facebook.com/podcast. Have an idea for a podcast guest? Send us a message!

In this Cloud Wars conversation, Bob Evans sits down with Workday Co-Founder and CEO Aneel Bhusri for a candid discussion about AI's disruptive impact on enterprise software, the future of agentic workflows, and why Bhusri returned to the CEO role during one of tech's most consequential transitions. The conversation explores whether AI will replace software or labor, why systems of record remain strategically vital, and how enterprise leaders should think about governance, security, and business transformation as intelligent agents begin reshaping the operating model of modern organizations. AI Changes Enterprise Work The Big Themes: AI Replaces Labor, Not Software: One of the most provocative points in the conversation is Bhusri's assertion that AI is not currently replacing enterprise software, it's replacing labor. That distinction changes everything. Rather than displacing systems like HR, finance, or ERP, AI is being layered on top of those systems to automate work previously performed by people. Bhusri sees this as both a business opportunity and a societal concern. Systems of Record Still Matter: Despite “SaaSpocalypse” chatter, Bhusri argues strongly that systems of record remain deeply entrenched. Customers are not planning to rip out core HR or ERP systems and replace them with loosely connected AI tools. Instead, the competitive battle shifts to what gets built on top of those platforms. That's a major strategic advantage for incumbents with trusted enterprise infrastructure, data models, and governance frameworks. Bhusri groups Workday alongside SAP, Oracle, and Salesforce as vendors with durable strategic relevance. AI's Social Impact Is the Bigger Story: The most human part of the discussion comes at the end, when Bhusri expresses genuine concern about AI-driven job displacement. Unlike past automation waves focused on repetitive tasks, he worries this generation affects reasoning and knowledge work. Yet he remains optimistic that technology ultimately improves society. Still, he insists enterprise leaders must become part of the solution, not simply profit from disruption. The Big Quote: “Great tech companies aren't built on one generation of technology.” More from Aneel Bhusri and Workday: Learn more about Workday and AI Connect and Workday Agent System of Record. Visit Cloud Wars for more.

In this special episode of Cloud Wars Live, Bob Evans sits down with Steve Miranda, Executive Vice President of Applications Development at Oracle, from Oracle Park in San Francisco to discuss one of the biggest shifts happening in enterprise technology: agentic AI applications. Miranda explains how Oracle is moving beyond embedded AI and AI agents to fully agentic applications that can act on business objectives rather than just automate transactions. From finance and supply chain to HR and customer service, he shares how this transformation is changing operations, competitiveness, employee roles, and the very mindset organizations need to succeed in the AI Era. Rise of Agentic Apps The Big Themes: From AI Features to Agentic Applications: Steve Miranda explains that Oracle's AI journey has evolved in three major stages. First, Oracle embedded AI directly into applications to help generate and enhance content, improving the traditional user experience. Next came AI agents — workflow-driven systems capable of handling transaction sequences across ERP, HCM, supply chain, and CX. Now Oracle is introducing agentic applications, which represent a full redesign of enterprise software. These systems allow users to set business objectives rather than manually manage transactions. Instead of handling purchase orders, invoices, or approvals individually, users provide strategic guidance while AI agents execute, monitor, and optimize outcomes. Competitive Advantage Comes from Speed: Miranda stresses that agentic AI is not only about reducing costs through automation — it is about increasing business speed and adaptability. In competitive markets, companies need to react instantly to supply chain disruptions, shifting cash positions, pricing opportunities, and customer demands. Human-driven workflows create delays, while agentic applications can monitor both internal operations and external market conditions in real time. AI can identify early payment discounts, detect supply chain disruptions, or recommend immediate operational adjustments faster than traditional teams. This responsiveness creates a major competitive edge. Companies that adopt agentic applications can operate faster and more efficiently, while those that delay risk falling behind competitors who are able to move at machine speed Oracle's Pricing Philosophy Supports Adoption: Miranda explains that Oracle's pricing philosophy for AI remains intentionally customer-friendly. Core AI improvements — including embedded AI and standard agentic capabilities — are included within existing application subscriptions. Customers subscribing to financials, HCM, supply chain, or other Fusion applications receive these enhancements as part of the normal service evolution, much like database upgrades. Additional charges apply only when customers extend applications further, such as building custom agents or adding specialized workflows through Agent Studio. Those extensions use token-based pricing, which reflects current industry standards for AI usage. This model gives customers both innovation and flexibility: they benefit from improved core functionality without surprise costs, while paying incrementally only when they choose to expand AI into additional areas of the business. The Big Quote: “We're essentially rebuilding our applications from the ground up to make them agentic.” More from Steve Miranda and Oracle: Connect with Steve on LinkedIn or learn more about Oracle AI Agent for Fusion Applications. Visit Cloud Wars for more.

At Google Cloud Next in Las Vegas, Bob Evans sat down with Karen Dahut, CEO of Google Public Sector, to discuss how AI, security, and open cloud strategies are reshaping government services. Dahut shared how Google Public Sector was built on the belief that government agencies deserve the same advanced commercial technologies as private enterprises, and why that decision is now proving critical in the era of agentic AI. AI Reinvents Government The Big Themes: Commercial Cloud for Government: Karen Dahut explained that when Thomas Kurian became CEO of Google Cloud in 2019, he challenged the outdated assumption that public sector organizations should receive different or lesser technology than private enterprises. Instead of building a separate, restricted GovCloud environment, Google chose to accredit its full commercial cloud for government use. This gave agencies access to the same scalability, resiliency, and innovation cycles as Fortune 100 companies. That decision is especially important now because AI workloads demand enormous scale. Leadership Makes AI Real: Technology alone does not create transformation — leadership does. Dahut highlighted examples from the FDA, Department of Transportation, and the City of Los Angeles, where visionary leaders are actively driving AI adoption rather than waiting for change to happen. These executives are not simply buying software; they are rethinking how agencies operate, from transportation systems to drug discovery to citizen services. Dahut stressed that real AI success requires courage, education, and enablement alongside strong technology. Open Cloud Is Responsible Government: Dahut strongly argued that openness is not optional in public sector technology, it is the only responsible approach. Governments operate with decades of legacy systems, massive backlogs of information, and multimodal data spread across many environments. Forcing all of that data into one cloud platform would be expensive, slow, and ultimately harmful. Google's approach is to leave the data where it already exists and analyze it there, avoiding costly ingress and egress fees and preventing vendor lock-in. The Big Quote: “AI and agentic AI is truly going to be one of those technologies that we look back on 10, 15 years from now and say that was truly the most transformational piece of technology since the transistor.” More from Karen Dahut and Google Cloud: Connect with Karen on LinkedIn or learn more about Google Cloud Public Sector. Visit Cloud Wars for more.

In this episode of Cloud Wars Live, Bob Evans sits down with Tirthankar Lahiri, Senior Vice President for Mission-Critical Data and AI Engines. Lahiri explains how agentic AI is transforming enterprise applications from simple question-answer systems into action-driven platforms that can reason, remember, and securely execute tasks. He details Oracle's strategy around unified agent memory, private agent factories, deep data security, and open development standards, all designed to help customers build scalable, secure, and flexible AI systems without added cost. AI Built Securely The Big Themes: Agentic AI Becomes Action-Oriented: Tirthankar Lahiri explains that agentic AI represents the next major step beyond generative AI. While generative AI focused largely on answering questions and producing content, agentic AI is designed to take action. It allows businesses to build systems that can reason, decide, and execute tasks autonomously. Oracle sees this as the future of application development, where AI becomes embedded into workflows rather than functioning as a standalone tool. Oracle Builds AI Directly Into the Database: Rather than forcing customers to move data across multiple isolated systems, Oracle's approach is to bring AI directly to the data. Lahiri argues that data is the “ground truth” and moving it creates technical debt, silos, inefficiency, and security vulnerabilities. Oracle's converged database architecture supports multiple data types, including relational, graph, spatial, and vector, inside one unified environment. This eliminates the need for separate repositories and allows AI agents to access all relevant context without fragmentation. Deep Data Security Protects Against AI Risks: Lahiri strongly emphasizes that traditional application-layer security is no longer enough in the age of AI. Since AI can generate SQL and potentially bypass interface restrictions through prompt injection, businesses must secure data directly at the source. Oracle calls this “deep data security.” He uses the analogy of protecting valuables in a safe bolted to the floor rather than simply locking the front gate. Even if someone gets inside the house, the valuables remain protected. Similarly, Oracle enforces security policies at the database level, ensuring agents can only access data users are authorized to see. The Big Quote: "You need to secure data. Need to lock your valuables into the safe deep inside the house." More from Tirthankar Lahiri and Oracle: Connect with Lahiri on LinkedIn or learn more about Oracle AI Database. Visit Cloud Wars for more.

With Republicans and Democrats deadlocked over their own power, Bob Evans wonders who will do what's right for the country.

In this Cloud Wars conversation, Bob Evans sits down with Shub Bhowmick, CEO and Founder of Tredence, alongside Yasmeen Ahmad from Google Cloud to explore how enterprises are moving from AI applications to AI agents. Their discussion focuses on what it takes to turn intelligence into action — covering data foundations, semantic layers, agentic architectures, and the operational shifts required for businesses to scale AI successfully. Turning AI Into Action The Big Themes: AI Agents Redefine Applications: Traditional AI apps assist by querying data, generating recommendations, and supporting limited workflows. AI agents, however, represent a much deeper operational shift. As Ahmad explains, agents are multi-step reasoning engines that can access multiple systems, coordinate actions, and execute entire business processes autonomously. Instead of simply helping humans decide, they can perform work across ERP systems, supply chains, and customer interactions. This changes the role of the database itself — from a storage and query engine into a reasoning engine with vector search, graph RAG, and semantic understanding. Examples like Home Depot and Danfoss show how this creates massive efficiency gains Why Questions Require Agentic Intelligence: Shub Bhowmick draws a critical distinction between “what” questions and “why” questions. A conversational BI system can answer what happened — such as how much sales dropped — but a “why” question demands deeper reasoning. Why did sales decline? Was it pricing pressure, competitor behavior, inventory constraints, or macroeconomic events? These problems require hypothesis-driven exploration. Tredence addresses this through business semantic layers, knowledge graphs, and hypothesis banks that support open-ended reasoning. Closed Systems Create Long-Term Risk: Bhowmick warns against enterprises rushing toward closed, inflexible platforms simply because they promise faster short-term value. While packaged solutions may accelerate deployment, they often restrict ownership, adaptability, and future innovation. In contrast, open architectures built with hyperscalers like Google Cloud allow customers to own the IP, customize solutions, and evolve as the market changes. The Big Quote: “Gone are the days when these migrations used to take 12 to 18 months. Nowadays, you have to complete these migrations in less than three to four months.” More from Tredence and Google Cloud: Learn about the partnership between Tredence and Google Cloud and AI agents on Gemini Enterprise. Visit Cloud Wars for more.

In this special episode of Cloud Wars Live from Google Cloud Next, Bob Evans speaks with Andi Gutmans about Google Cloud's newly announced Agentic Data Cloud and what it means for enterprise customers entering the AI-driven future. Gutmans explains how businesses must rethink data platforms for an era where autonomous agents, not just people, need instant access to trusted enterprise knowledge. The New Data Foundation The Big Themes: The Agentic Data Cloud Is a Reinvention: Google Cloud is not simply rebranding its existing Data Cloud, it is fundamentally redesigning it for the agentic AI era. Gutmans explains that data must evolve from being a passive repository into active business knowledge that agents can reason over. He describes this as moving from a “system of intelligence” to a “system of action.” The newly announced Agentic Data Cloud includes innovations across databases, analytics, storage, and governance so agents can securely access and act on enterprise information. Culture Matters More Than Technology: According to Gutmans, the organizations moving fastest are the ones embracing cultural transformation, not just deploying models on top of old systems. Companies succeeding in the agentic era are rethinking how their data platforms work and how employees engage with AI. Instead of treating agents as copilots, they view every employee as an orchestrator of agents. That mindset shift drives faster ROI because it creates readiness for change and willingness to innovate. Google's Vertical Stack Is a Major Advantage: Gutmans says that Google Cloud is uniquely positioned because it owns the entire stack: AI infrastructure, models, and the data platform itself. This allows what he calls “closed-loop innovation” between models and data systems, where improvements in one directly enhance the other. He says many people underestimate how important that relationship is because model reasoning must evolve alongside the platform serving enterprise data. Products like BigQuery, Spanner, and Gemini benefit from Google's decades of operating at massive scale, including multiple billion-user businesses. The Big Quote: "We're moving from this reactive, agentic experience to agents truly being autonomous, being able to drive outcomes for the business, and that's also now steering how we're thinking about the data cloud." More from Google Cloud: Learn more about what's new in the Agentic Data Cloud and security in the AI era. Visit Cloud Wars for more.

In today's Cloud Wars Minute, I explain why Oracle's AWS partnership signals a new era of cloud interoperability. Highlight 00:03 — Recently, my colleague Bob Evans reported on a new initiative from AWS called Interconnect multicloud aimed at enhancing the company's multi-cloud offerings. Now, Oracle has announced that it will leverage AWS Interconnect multicloud to expand its multi-cloud networking capabilities. 00:31 — Oracle is enabling high-performance connectivity between Oracle Cloud Infrastructure and AWS by connecting Oracle Interconnect with AWS Interconnect multicloud. Now, as a result, Oracle customers will gain, and I quote, access to "a fast, private, managed connection to run applications and move data seamlessly between OCI and AWS." 01:00 — This new connectivity will support both full and split-stack multi-cloud deployments, empowering customers to confidently leverage the benefits of both cloud providers without the management complexity that previously posed major challenges. 01:14 — Nathan Thomas, Senior Vice President, Product Management at Oracle Cloud Infrastructure, said the following: "Oracle continues to advance multi-cloud connectivity as part of its commitment to help customers unlock flexibility, agility, and performance across clouds." 01:40 — Once again, we see Oracle at the forefront of multi-cloud connectivity, quickly integrating with a competitor's product to ensure that its customers are always in a position to realize their business ambitions, most notably in the AI space, without the issues of dispersed systems, data silos, and latency. Visit Cloud Wars for more.

In this special episode, we revisit a past conversation with Hilary Maxson and explore why her appointment as CFO of Oracle Corporation comes at such a consequential moment. As Oracle accelerates investments in AI infrastructure and cloud capacity, the finance role now extends well beyond stewardship into capital allocation, operational discipline, and long-term value creation. Maxson's career—from banking to global leadership roles at AES and Schneider Electric—offers clues to why she may be uniquely suited for this chapter. Joining us is industry analyst Bob Evans, who helps unpack what the hire could signal about Oracle's future direction.

Stoking the FireThe guys discuss the Easter holiday. Also a 2 weekend recap from them.Cedar Lake Speedway joins the DirtVision weekly broadcast list.CJ Leary secures a new ride for some USAC races."The Ville" Challenge New Knoxville Raceway rules for the upcoming season.Social media of the week: Flea visits Bob Evans. And facebook level stupidity. Bills Jerky order!"The Draft"(Ends around 29:00 minute mark)Feature FinishWoO sprint cars @ I-55 for the Spring ClassicWoO late models @ Farmer City Raceway for the Illini 100USAC National sprint cars @ Lawrenceburg and the Terre Haute Action Track MLRA late models @ Lucas Oil SpeedwaySelinsgrove Speedway opening nightWilliams Grove Speedway - ARCH night Port Royal weekly showAtomic & Attica (Ends around 35:00 minute mark)The Smoke Garlic knot discussionManwich and Ruffles?Darmstadt Inn for breakfastHornets NestSonic smash burger Bunner makes a rare run to breakfast Huge sirloins on the WeberThe final - #Notmyfishfriday of 2026Indy eats - Checkered Flag Tavern, Whistle Stop, Denny's late night runA Rounders double dipTilted Kilt in Lexington Best Coast Taco's

In this episode of Cloud Wars Live, Bob Evans sits down with Bonnie Tinder, Founder and CEO of Raven Intelligence, to unpack a whirlwind week in enterprise software. As AI reshapes the landscape at breakneck speed, the two explore major announcements from Oracle and Workday. Bonnie offers sharp analysis on the strategic differences between Workday's user-centric AI assistant approach and Oracle's autonomous, end-to-end agentic applications. Episode 59: Enterprise AI Showdown The Big Themes: Oracle's Autonomous AI Vision: Oracle is taking a more aggressive approach with its agentic AI applications, introducing 22 AI-driven tools that can execute entire business processes. Unlike assistive AI, Oracle's agents can reason, decide, and act with minimal human intervention. This represents a shift toward AI as a “digital workforce,” capable of handling complex, cross-functional operations. End-to-End Business Process Automation: One of Oracle's biggest differentiators is its ability to automate complete workflows across multiple business functions. For example, designing a product while simultaneously evaluating supply chain risks and costs. This eliminates the traditional handoffs between departments and enables a holistic, real-time view of operations. By integrating data across systems and processes, Oracle's AI can deliver more comprehensive insights and faster execution — potentially transforming how enterprises manage complex workflows. ROI and Consumption-Based Models: AI is also changing pricing and operating models. Workday's shift toward consumption-based pricing means customers pay based on usage rather than per-employee licensing. This can make adoption more flexible and cost-effective, but it also requires careful ROI analysis. Companies must consider not just technology costs, but also potential workforce changes, efficiency gains, and redeployment of employees. Understanding the financial impact of AI investments is critical for long-term success. The Big Quote: “The high-risk areas you don't want to touch necessarily. You want to look at the high volume potentially first, to fully automate." More from Bonnie Tinder: Connect with Bonnie on LinkedIn. Visit Cloud Wars for more.

In this episode of Cloud Wars Live, Bob Evans sits down with Pankaj Goel, CEO of Opkey, to explore how agentic AI is reshaping ERP implementations and the broader systems integrator landscape. Goel shares how Opkey's platform automates the full lifecycle of enterprise applications — from design through testing and support — while addressing long-standing inefficiencies in implementation models. The discussion highlights the growing urgency for speed, cost efficiency, and business outcomes in the AI Era, and how digital workers are enabling organizations to rethink both delivery models and competitive positioning. AI Transforms ERP The Big Themes: AI Reshapes ERP Delivery Models: The conversation underscores a major disconnect between modern cloud ERP adoption and outdated implementation methodologies. While enterprises are rapidly shifting toward cloud-based systems like Oracle, SAP, and Workday, many systems integrators still rely on legacy approaches rooted in early-2000s practices. This mismatch results in inefficiencies, cost overruns, and delayed outcomes. Opkey addresses this gap by introducing AI-driven automation that aligns delivery models with the speed and flexibility required in today's AI Economy. Massive Time and Cost Savings: The platform delivers measurable efficiency gains. Customers report up to 40% reductions in day-to-day operational time post-implementation, while testing cycles shrink from weeks to just a few days. For systems integrators, implementation costs have dropped by approximately 25% in early deployments. These improvements not only enhance productivity but also enable faster innovation cycles, allowing businesses to respond more quickly to market changes. A Win-Win Ecosystem Vision: Opkey's strategy is built around creating value for all stakeholders: ERP vendors, systems integrators, and end customers. By improving implementation success rates, reducing costs, and accelerating time to value, the platform fosters a “win-win” ecosystem. This holistic approach ensures that innovation benefits the entire enterprise software value chain, rather than optimizing for one group at the expense of others. The Big Quote: “Copilots. . . help you understand your information better, whereas agents and agentic AI is a fundamentally different way of conceiving work. Think of an AI agent as a digital worker, just like you used to have Oracle administrators in past and your business analysts." More from Pankaj Goel and Opkey: Connect with Pankaj on LinkedIn or learn more about Opkey Release Advisor and CALM. Visit Cloud Wars for more.

Bob Evans laments the state of politics in Illinois

In this episode of Cloud Wars Live, Bob Evans speaks with Steve Miranda, Executive Vice President of Applications Development at Oracle, about the company's latest leap into AI-driven enterprise software. Miranda outlines Oracle's introduction of “agentic applications,” a new category that blends AI agents, automation, and business workflows into outcome-driven systems. He explains how Oracle's strategy has evolved from embedding AI into apps to building thousands of agents — and now to delivering fully agentic apps that transform how users interact with enterprise software. The conversation highlights both the opportunity and confusion customers face in this rapidly shifting AI landscape. Rise of Agentic AI The Big Themes: From Features to Outcomes: A major shift is the move from feature-based software to outcome-driven systems. Instead of executing predefined tasks, AI agents are now given business goals, such as optimizing supply chains or improving financial performance, and they generate multiple strategies to achieve them. Users then act as decision-makers, selecting preferred options. This represents a profound change in human-computer interaction, where software becomes a collaborative partner. Explosive Growth of AI Agents: Oracle's rapid expansion from around 50–100 agents to over 1,000 demonstrates the accelerating pace of AI adoption. This growth reflects both customer demand and the scalability of AI-driven architectures. The agents are not limited to simple automation but are capable of reasoning, analyzing enterprise-wide data, and making recommendations. This scale also lays the foundation for agentic applications. Future of SaaS Reimagined: Miranda makes it clear that SaaS is undergoing a fundamental transformation. Traditional applications will coexist with agentic systems for now, but the long-term trajectory points toward AI-driven interfaces becoming dominant. Oracle plans to expand agentic capabilities across its entire application suite, from finance to supply chain to HR. As AI-to-AI interactions and data integration improve, these systems will become even more powerful. The Big Quote: “These are agents where you're giving the agent a business outcome and a goal, and the agents [are] recommending to you optimizations or how you get there. And then you, as a user or human in the middle of this process, actually instruct those agents on which of the plans to execute, and it goes ahead and automates and executes those transactions. So it's a fundamentally different way of presenting the applications." More from Steve Miranda: Connect with Steve on LinkedIn or learn more about AI agents for Fusion Applications. Visit Cloud Wars for more.

In this episode of Cloud Wars Live, Bob Evans speaks with Seema Verma, Executive Vice President and General Manager of Oracle Health and Life Sciences, about how AI is reshaping the healthcare industry. Drawing on her experience leading the Centers for Medicare and Medicaid Services, Verma explains how Oracle is tackling one of the world's most complex sectors with an end-to-end, AI-driven approach. The conversation explores how automation, modern electronic health records, and intelligent agents can reduce administrative costs, improve patient care, and unify fragmented healthcare systems into a more efficient and responsive ecosystem. Oracle Healthcare Vision The Big Themes: AI as Healthcare Backbone: Oracle is not approaching healthcare transformation as a collection of isolated tools but as a unified, AI-driven ecosystem. Unlike past efforts that layered technology onto outdated systems, Oracle is rebuilding infrastructure from the ground up with AI at its core. This allows automation to flow across the entire system rather than remaining siloed. The result is a more cohesive healthcare environment where decisions, processes, and outcomes are interconnected, enabling true industry-wide transformation rather than incremental improvements. Clinical AI Agents in Action: One of the most compelling innovations discussed is Oracle's clinical AI agent, which listens to doctor-patient interactions and automatically generates notes, recommendations, and workflows. This technology goes beyond documentation — it initiates next steps such as prescribing medications, ordering tests, and suggesting billing codes. Physicians benefit from reduced administrative workload, allowing them to focus on patient interaction. Clinical Trials Transformation: Clinical trials are another area ripe for disruption, with only 1–2% of eligible patients participating due to outdated recruitment methods. Oracle is addressing this by matching patients to trials using real-time health data. Instead of manual processes like bulletin board sign-ups, AI can identify eligible participants and notify both clinicians and patients. The Big Quote: “Fifty percent, sixty percent of the costs are labor-oriented. And if we look at the growth in healthcare, that's not changing, we see high prices in drugs, one of the fastest-growing areas. And so here's where AI has an incredible opportunity here to really transform the industry and get rid of a lot of that repetitive, manual work and increase efficiency." More from Seema Verma: Connect with Seema on LinkedIn or learn more about Oracle, health, and AI. Visit Cloud Wars for more.

In this episode of Cloud Wars Live, Bob Evans speaks with Nathan Thomas, Senior Vice President of Product Management for Oracle Cloud Infrastructure, about the explosive growth and transformative potential of Oracle's multi-cloud database strategy. Thomas explains how Oracle is enabling customers to run mission-critical databases across AWS, Microsoft Azure, and Google Cloud while unlocking new AI-driven innovation. Their discussion dives into how multi-cloud is reshaping enterprise mindsets, accelerating cloud migrations, and helping organizations fully leverage their data for next-generation applications and agentic AI. Multi-Cloud Momentum The Big Themes: Multi-Cloud Demand Explodes: Oracle's multi-cloud database is seeing massive demand, driven by customers wanting to run Oracle workloads in the same cloud environments as their applications. This shift eliminates friction between systems. The surge is amplified by AI, as organizations look to connect their data with services like Gemini, Bedrock, and Copilot. The reported 500%+ growth reflects not just technical appeal but a fundamental change in how enterprises think about infrastructure. AI Is the Growth Catalyst: Artificial intelligence is accelerating multi-cloud adoption at an unprecedented pace. Customers want their data co-located with AI tools and pipelines, enabling faster insights and innovation. Instead of moving data across environments with latency constraints, multi-cloud lets organizations bring AI to their data. This creates a powerful feedback loop where better access drives more experimentation and faster results. New Builders, New Energy: The adoption of multi-cloud is bringing in a new generation of developers and AI-focused professionals. These users are actively engaging with enterprise data to build innovative applications and AI-driven solutions. This marks a shift from traditional, tightly controlled database environments to more dynamic, accessible platforms. Organizations are no longer treating their data as static assets, they're using it as a foundation for continuous innovation and competitive advantage. The Big Quote: “We hear from customers a lot that they struggle with what I would call the tyranny of choice. There's just way too many options, way too complicated." More from Nathan Thomas and Oracle: Connect with Nathan on LinkedIn or learn more about Oracle and multi-cloud. Visit Cloud Wars for more.

In this episode of Cloud Wars Live, Bob Evans speaks with Bonnie Tinder, founder and CEO of Raven Intelligence, about the surge of hype, confusion, and opportunity surrounding AI in enterprise technology. As headlines claim AI could replace traditional software and “vibe coding” threatens SaaS vendors, Tinder brings a grounded perspective from years of advising organizations on enterprise systems like Salesforce, Workday, and SAP. Their conversation explores what AI can realistically do today, why enterprise software remains critical, and how companies can move forward without falling for hype. Episode 58: AI Hype vs. Reality The Big Themes: Why “Vibe Coding” Won't Replace ERP: The idea that AI-powered “vibe coding” could replace enterprise applications is a popular narrative, but both Evans and Tinder challenge its practicality. Even companies developing cutting-edge AI models are still relying on traditional enterprise systems. For example, Tinder notes that AI companies themselves are hiring administrators for established software platforms rather than replacing them. Leadership Must Guide AI Adoption: The discussion also emphasizes that AI adoption cannot be left solely to technology teams. According to Evans, the entire executive leadership team, especially the CEO, needs to be actively involved in defining how AI will shape the organization. AI initiatives affect workflows, job roles, data governance, and competitive strategy. Without clear leadership alignment, different departments may pursue conflicting approaches, slowing progress or introducing risk. Fear and FUD Are Slowing Progress: Ironically, the greatest threat from AI hype may be paralysis. Tinder argues that fear, uncertainty, and doubt in the market are causing many companies to delay decisions altogether. Organizations worry about choosing the wrong tools, implementing technology too early, or missing the next wave of innovation. This hesitation can prevent companies from making meaningful progress. Instead of waiting for perfect clarity, organizations should take practical steps. The Big Quote: “You can vibe code your way around [a] notion or a content system, that's way different though, than having an in-house solution for an enterprise software." More from Bonnie Tinder: Connect with Bonnie on LinkedIn. Visit Cloud Wars for more.

On today's Perspective, Bob Evans outlines "another reason to pray for peace."

On today's Perspective, Bob Evans explains why elections shouldn't be nationalized.

• The Vision falling apart & Seth Rollins' new role• CM Punk vs Roman Reigns WrestleMania build• Rhea Ripley's breakup with Iyo Sky• Jade Cargill's backstage heat & Twitter drama• Gunther vs Dragon Lee - great match, wrong timing• Dan Hausen's WWE debut & mixed reactions• Penta wins North American Championship!• WrestleMania card concerns0:00 - Intro / Demolition Theme Parody2:43 - Raw Recap Begins / WrestleMania Road Concerns5:30 - The Vision Falls Apart / Seth Rollins Turn11:02 - Roman Reigns vs CM Punk Promo Analysis25:58 - Restaurant Analogies (Denny's vs Bob Evans)38:58 - Logan Paul & Austin Theory's Future50:15 - Gunther vs Dragon Lee Discussion58:28 - Liv Morgan's Problematic Promo1:03:00 - Rhea Ripley & Iyo Sky Split Up1:09:38 - Jade Cargill vs Rhea Twitter Drama1:16:38 - Kyrie Sane & Asuka Segment Issues1:23:30 - AJ Lee Promo Problems1:27:43 - El Grande Americano vs Los Lotharios1:30:23 - Dan Hausen WWE Debut Review1:33:48 - Judgment Day & JD McDonagh1:36:50 - Oscar & Kyrie Domestic Abuse Angle1:39:30 - Obba Femi vs Rusev Setup1:42:09 - Obba Femi Meet & Greet Controversy1:46:41 - Penta vs Dominic Mysterio - Match of the Night!1:32:40 - Final Thoughts & Wrap UpBecome a supporter of this podcast: https://www.spreaker.com/podcast/wrestling-soup--1425249/support.

A rising tide lifts all boats. Wrestling, promoting, training, Brutal Bob Evans has spent the past 30 years trying to leave the professional wrestling industry in a better position than he found it. Whether as an in-ring competitor, coach, consultant, or seminar leader, Bob Evans has built his legacy on giving back to the wrestling community.We will discuss Bob's legacy in professional wrestling with him. We will also discuss his time working enhancement matches with the then WWF, his time working with the National Wrestling Alliance in the late 90s and early 2000s.And of course, we'll discuss wRAHstlemania IX taking place on March 6th, exclusively for the students of Rowan University, by the way of Dangerous Adrenaline Wrestling Gladiators.Stay Social with Brutal Bob Evanshttps://www.facebook.com/brutalbobevans⁠⁠https://x.com/brutalbobevans⁠⁠https://www.instagram.com/brutalbobevans⁠⁠https://www.tiktok.com/@BrutalBobEvans⁠⁠https://www.youtube.com/@RealBrutalBobEvans

Mark Somerson of Columbus Business First has a look at local business news including Bob Evans restaurants acquired by New York investment firm

In this latest episode of Cloud Wars Live, Bob Evans is joined by Colleen Kapase, Vice President of Channels and Partner Programs at Google Cloud, and Rakesh Sancheti, Chief Growth Officer at Tredence. Together, they explore how agentic AI is transforming enterprises from insight-driven organizations into adaptive, reflexive businesses. The conversation highlights how AI agents, data foundations, and partner ecosystems are reshaping productivity, decision-making, and real-time execution across industries.The Responsive EnterpriseThe Big Themes:AI Moves From Insight to Action: Enterprises are transitioning from AI that merely advises to AI systems that actively execute decisions. Agentic AI workflows enable systems to sense changes, analyze signals, and take action without waiting for human intervention. This marks a fundamental shift from dashboards and reports to operational intelligence embedded directly into business processes. The result is faster adaptation, reduced latency in decision-making, and organizations that can respond to market changes in near real time rather than after-the-fact analysis cycles.Partners Are the Critical Bridge: Technology platforms alone cannot deliver transformation. Partners play a crucial role in translating AI capabilities into real-world outcomes by combining industry expertise, customer context, and accelerators. They bridge the gap between powerful AI platforms and the specific operational realities of each enterprise. This partnership model accelerates deployment, reduces experimentation cycles, and ensures AI agents are connected to real data and real processes.Retail Emerges as a Leading Use Case: Retail provides a vivid example of agentic AI in action. Multi-agent systems personalize experiences, optimize merchandising, adjust media spend, and guide customers in real time. These systems act continuously, responding to shopper behavior, inventory signals, and market conditions instantly. The result is improved customer experience, higher returns, and operations that function more like living systems than static processes.The Big Quote: “We're really going to move past the era where data is just sitting in warehouses and being collected and really looking at it independently, and instead take advanced AI and put it in the hands of every single individual.”More from Tredence and Google Cloud:Dive into Tredence's exploration of AI agents and Google Cloud's guide for putting AI agents on the marketplace.  Visit Cloud Wars for more.

Bob Evans has a new owner. Fogo has some AI. And Starbucks is going on offense.

This week Greg The Divemaster checks in with Bob Evans from Force Fins. Plus the ScubaSquad get the origin story of a new ScubaRadio character? (WAIA) Looking for HOUR2?

A snowstorm hits… and suddenly the Midwest decides eggs and sausage are the official currency of survival. In Episode 294 of Irritable Dad Syndrome, the dads break down the grocery store chaos, the tragedy of missing Bob Evans sausage, and the accidental discovery that Italian sausage might be elite breakfast casserole material.Then it's peak dad mode as they talk about watching The Matrix, The Fugitive, and other classics with their kids — and how seeing your child experience those movies for the first time is one of the best parts of being a dad.Also in this episode: • TikTok rabbit holes (wood-turning, fake epoxy floors, bizarre trends) • Walmart small-talk gone weird • Alexa's suspicious new voice • Neighbor food gift one-upmanship • The funniest movies they've ever seen in theaters • A dad brain-melting question: food in teeth forever or song in head forever?Snow panic, nostalgia, food talk, pop culture, and classic basement dad humor.#DadLife #ComedyPodcast #ParentingHumor #SnowstormLife #MovieNostalgia #GenXHumor #FoodHumor #PopCulturePodcast #MidwestLifeSupport the showThank you so much for listening to this episode! If you like what we do, please check out our other content! Follow our socials for announcements when we go LIVE and to become part of the show!All episode, videos, and more can be found on our website at: https://www.irritabledadsyndrome.com/Facebook: https://www.facebook.com/IrritableDadSyndromeYouTube: https://www.youtube.com/@irritabledadsyndromeTikTok: https://www.tiktok.com/@irritabledadsyndromeInstagram: https://www.instagram.com/irritabledadsyndrome/Threads: https://www.threads.net/@irritabledadsyndromeTwitter / X: https://x.com/DadIrritableTons of bonus and premium content (including archived, uncensored videos of episode recordings, unique merch, and more!) is all on our Patreon page! Join our Patrons today and support our show!Patreon: https://www.patreon.com/irritabledadsyndrome

Bob Evans speaks with Jaison Correya, CEO of CLOUDVICE, in a special Cloud Wars Live episode focused on the real-world evolution of AI. Fresh off CLOUDVICE's win of the 2025 Oracle North America Technology and Cloud AI Innovation Partner Award, Correya explains the purpose-driven innovation behind the company's CORX platform. The discussion explores how AI, cloud, blockchain, and robotics converge to move intelligence beyond insights into action.From Data to ActionThe Big Themes:AI Must Drive Action: Jaison Correya makes clear that AI's value is limited if it stops at analysis. While AI can generate insights and recommendations, it does not create impact unless it is connected to execution. CLOUDVICE's approach focuses on enabling AI to act in the real world through orchestration with cloud platforms, blockchain security, and robotics. This shift moves AI from theoretical intelligence to operational autonomy.CORX Enables Convergence: CORX is positioned as the platform where multiple technologies converge into a single operational system. Correya describes CORX as the place where AI thinks, cloud scales, blockchain verifies, and robotics acts. Rather than treating these capabilities as separate tools, CLOUDVICE integrates them to eliminate fragmentation. This convergence allows organizations to securely scale AI while ensuring verification, governance, and execution remain tightly connected across digital and physical environments.Endless Automation Replaces Rules: Correya introduces “endless automation” as a new model that goes beyond static, rule-based workflows. Instead of relying on predefined scripts, CORX enables AI systems that reason, learn, and act as new data nodes are introduced. This allows automation to continuously evolve without constant reprogramming. For enterprises and public sector organizations, this means greater flexibility, efficiency, and resilience as conditions and requirements change.The Big Quote: “AI by itself can produce results, it can analyze and recommend, but it cannot scale securely without a proper cloud platform.”Learn more about CLOUDVICE and Jaison Correya:Connect with Jaison Correya on LinkedIn and learn about CLOUDVICE. Visit Cloud Wars for more.

In this Cloud Wars Special Report, Bob Evans sits down with Mike Sicilia, CEO of Oracle, to discuss Oracle's rise to the number-two position on the Cloud Wars Top 10. Their conversation explores why customers are increasingly gravitating toward Oracle, how AI embedded across infrastructure and applications is accelerating time to value, and why openness, multi-cloud flexibility, and data gravity are reshaping enterprise decision-making.Oracle AI Strategy and ProductsThe Big Themes:AI Built In, Not Bolted On: Oracle's momentum is rooted in embedding AI directly into its database, data platform, infrastructure, and applications rather than layering it on later. This architectural decision enables customers to train models, run inference, and deploy intelligent applications faster and more reliably. AI is foundational across ERP, retail merchandising, healthcare, and industry solutions. By integrating AI at every layer, Oracle reduces friction, accelerates adoption, and delivers immediate business value, helping customers move beyond experimentation into production-scale AI initiatives with confidence and speed.AI Changes Customer Engagement Models: The traditional technology upgrade cycle has been replaced by continuous, iterative innovation. With quarterly Fusion updates delivering hundreds of new AI-enabled features automatically, customers see constant improvements without added cost or disruption. Sicilia noted that AI data platforms and agent-building tools now enable daily innovation.Scale, Responsibility, and Customer Trust: With more than half a trillion dollars in contractual commitments, Oracle's leadership views execution and trust as paramount. Sicilia says that Oracle's decades-long experience running no-fail, mission-critical systems uniquely positions it for the AI Era. Customer success, support, and operational alignment have been restructured around an “AI-first, service-first” mindset.The Big Quote: “Very quick time to value has a lot to do with data gravity, and we are the custodians of the data. We are, in fact, the creators of a lot of the data from our applications.”"More from Oracle:Learn about Oracle and AI or OCI for AI. Visit Cloud Wars for more.

Bob Evans sits down with Thomas Kurian, CEO of Google Cloud, following Google Cloud's rise to the #1 position on the Cloud Wars Top 10. Their conversation explores how Google Cloud's customer-first philosophy, deep industry specialization, and long-term AI investments have reshaped its trajectory. Kurian shares how disciplined portfolio choices, partner ecosystems, and applied AI are helping customers innovate for the future rather than reinforce the past.Customer-Led Cloud StrategyThe Big Themes:Customer-Driven Strategy Wins: Google Cloud's ascent to the top spot is rooted in a consistent formula: deeply understanding customer problems and applying technology in distinctive, practical ways. The company's direction has always been shaped by what customers actually need, not internal agendas. This mindset extends across product design, go-to-market execution, and partner alignment. By accepting that only customers can ultimately “say no,” Google Cloud has maintained focus and avoided distractions.Industry Specialization as a Differentiator: Early recognition that industries have fundamentally different needs led Google Cloud to build specialized expertise by vertical. Rather than offering generic solutions, the company invested in industry-aligned product teams, domain-specific capabilities, and tailored go-to-market motions. This approach allows customers to adopt cloud and AI faster, without reinventing best practices.Full-Stack AI, Built Over Time: Google Cloud's AI strategy spans custom silicon (TPUs), infrastructure, models, platforms, and now agents. Kurian says that this wasn't a sudden pivot—it's the result of years of sustained investment, even when AI wasn't fashionable. With Gemini positioned as a leading model, Google Cloud now supports both first-party and third-party models, giving customers flexibility. This layered approach allows enterprises to innovate at their own pace.The Big Quote: “If you want to adopt a technology successfully, you need to pick a few important projects and do them well, rather than spraying on a lot of little projects.”Learn more about Google Cloud and Thomas Kurian:Check out the Google Cloud blog and Thomas Kurian. Visit Cloud Wars for more.

Bob Evans, Founder of Cloud Wars, joins John Siefert, CEO, Cloud Wars and Dynamic Communities, to unpack one of the most dramatic reshuffles in the history of the Cloud Wars Top 10. Together, they explore what Bob calls “tectonic shifts” as Google Cloud rises to number one, Oracle surges to number two, and Microsoft slips to third. The conversation goes well beyond rankings, diving into AI platforms, enterprise outcomes, customer-driven innovation, and why growth, not size alone, defines cloud leadership heading into 2026.A New Cloud OrderThe Big Themes:Growth Transparency Matters: IBM's exit from the Top 10 underscores a critical principle — financial transparency is essential when growth is a core ranking metric. While IBM's leadership and strategy is worthy of praise, the lack of disclosed cloud performance data makes objective evaluation impossible. The Cloud Wars Top 10 prioritizes measurable momentum that reflects customer demand.AWS Reflects the Past, Not the Future: AWS's drop to number seven does not reflect failure but rather strategic timing. While AWS continues to perform well financially, its narrative is more aligned with the cloud's past than its AI-driven future. In contrast, competitors are redefining platforms around agents, inference, and AI-native architectures. The Cloud Wars rankings reward forward momentum, and AWS now faces pressure to reassert innovation leadership rather than rely on historical dominance.The AI Platform Battle Is Escalating: A central theme is the race to become the trusted AI platform. ServiceNow and Palantir are the most explicit contenders, while Google Cloud closely follows. Customers want AI platforms that integrate existing systems, deliver fast outcomes, and scale securely. The winners will be those who enable co-creation, not just consumption, as enterprises build AI capabilities tailored to their specific needs.The Big Quote: "For a while we talked about the hyperscalers as if they're all very homogeneous, all exactly the same, just different variations on a theme. I think what the new Cloud Wars Top 10 reflects is that is not the case at all."More about the Top 10 Shifts:Check out the updated Cloud Wars Top 10 List. Visit Cloud Wars for more.

Bob Evans sits down with John Siefert to unveil major shifts in the Cloud Wars Top 10 rankings in this first of a two-episode series. The discussion centers on why Google Cloud now claims the number-one position, Oracle surges to number two, and Microsoft slides to number three after a historic run. Evans explains how customer empathy, ecosystem strength, security posture, leadership vision, and forward-looking execution — not just financial performance — drive the rankings.The Big Themes:The Cloud Wars Top 10 Is Holistic: The Cloud Wars Top 10 is intentionally designed to move beyond narrow metrics like revenue or technical benchmarks. As Bob Evans explains, the rankings reflect an amalgam of financial performance, innovation velocity, ecosystem maturity, leadership vision, and customer impact. This outside-in methodology evaluates how well vendors understand where customers are today and how effectively they help them move forward.Google Cloud's Rise Reflects Customer Empathy: Google Cloud's move from number two to number one reflects a long-term transformation rather than a sudden spike. Evans highlights how Google Cloud evolved from a technology-first organization disconnected from enterprise realities into a customer-centric platform under Thomas Kurian's leadership. Empathy for customers' existing environments, focus on sovereignty, security, compliance, and open ecosystems enabled Google Cloud to convert its technical strengths into market leadership and sustained growth.Oracle's Momentum Is About the Future: Oracle's move into the number two spot is driven by its success winning new, forward-looking business — particularly AI-driven workloads. Evans points to Oracle's Remaining Performance Obligation (RPO) growth and aggressive go-to-market innovation. Oracle's willingness to finance cloud expansion differently is framed not as weakness, but as strategic differentiation. Leadership continuity, operational experience, and a clear vision for AI infrastructure and data-centric cloud services are fueling Oracle's ascent.The Big Quote: “Nobody owns first place. You just rent it, and that lease can be pulled at any time if somebody else is doing a better job.”Stay tuned for the second episode on Cloud Wars Top 10 shifts, coming tomorrow.More about the Top 10 Shifts:Check out the updated Cloud Wars Top 10 List. Visit Cloud Wars for more.

Bob Evans sits down with Will Grannis, Chief Technology Officer at Google Cloud, to unpack how AI is reshaping both technology stacks and corporate culture. They explore Google Cloud's Gemini Enterprise platform, the newly upgraded Gemini 3 models, and the rise of agentic AI. Along the way, Will shares customer stories from industries like finance, healthcare, retail, and travel, and even talks about how his own team had to change its habits to benefit from AI.Inside Google Cloud's Agentic AI The Big Themes:Models vs. Platforms in the AI Stack: Grannis draws a sharp distinction between AI models like Gemini and the broader platforms that operationalize them. Models determine how intelligent and capable AI workflows are “out of the box,” across tasks like reasoning, multimodal understanding, and conversation. Platforms, by contrast, are how a business injects its own data, processes, and rules to build differentiated IP, brand experiences, and competitive moats. In practice, that means thinking beyond a single chatbot to agentic workflows composed of models, data, tools, and multiple agents working together.Culture and Discipline: Grannis describes how even his own team initially struggled to build an internal ops agent to automate sprint reviews, status updates, and reminders. It was only after leadership pushed them to be an exemplar that the agent became reliable and valuable. Things as simple as putting status information in the same place on every slide suddenly mattered. The lesson: AI exposes hidden process chaos. To get leverage from agents, organizations must tighten their operating discipline and be willing to change how they work, not just bolt AI onto old habits.Rethinking ROI and Metrics: Traditional, siloed ROI metrics can kill transformational AI efforts before they start. Grannis cites research about AI projects dying at proof-of-concept stage and contrasts that with companies like Verizon, which used AI in the contact center to simultaneously lift revenue, reduce cost, and improve customer satisfaction by turning support calls into sales moments. Instead of chasing a single metric in isolation, he advocates for “bundles” of outcomes anchored in customer experience.The Big Quote: “We had to be more disciplined about how we conducted our own work. And once we did that, AI's effectiveness went way up, and then we got the leverage.”More from Will Grannis and Google Cloud:Connect with Will Grannis on LinkedIn or learn about Gemini Enterprise. Visit Cloud Wars for more.

In this Cloud Wars Live podcast, Bob Evans sits down with Hayete Gallot, President, Google Cloud Customer Experience, to explore how Google Cloud is helping enterprises move from AI experimentation to true business transformation. Gallot describes how her organization unifies engineering, consulting, partners, and learning to accelerate time-to-value and scale agentic AI across every function. Together, they dive into Gemini Enterprise, customer successes like Virgin Voyages, and why human-centered change is the real key to AI's future.The AI Turning PointThe Big Themes:Customer Experience Built for the AI Era: Google Cloud created a new Customer Experience organization, led by Hayete Gallot, to match the speed and complexity of AI-driven transformation. Instead of treating AI as a pure technology play, the team unifies industry and solutions experts, customer engineers, consulting, partners, and learning into one group that supports the full innovation lifecycle. That means they can help customers go from idea to minimum viable product to production in a consistent, repeatable way.Ecosystem, Partners, and Curated AI Solutions: Google Cloud's ecosystem strategy is central to scaling AI transformation. Gallot describes deep investment in system integrators — not just training them on technology, but sharing methodologies and scenario-based approaches so they can guide customers toward the right AI choices. At the same time, Google Cloud works with top ISVs to embed AI into their solutions and create compatible protocols for multi-agent experiences.Structuring Tech Teams for Agentic Transformation: AI's rise is forcing technology organizations to evolve. Gallot notes that CTOs and CIOs are asking how to restructure their teams for an “agentic” world. The demand is no longer just for deep technical skills, but also people who understand user experience, behavior, and business workflows. Technology teams are increasingly expected to co-design scenarios with business leaders, not just implement requirements. Looking ahead to 2026, Gallot sees the priority as scaling agentic transformation across divisions.The Big Quote: "Customers are much more mature on AI … When you meet with them, they're [asking] what's in it for me? What am I going to get? When am I going to get it? How do I scale this? They want production, and they want outcome." Visit Cloud Wars for more.

Angela Vosatka is the Owner of Wildroots Photography. Angela and Lorenzo nerdout about photography, in home sessions, then they get into documenting the family, legacy, move to Denver, meltdown, Wildroots, family roots, chatbooks, digital camera, Toledo life, trail running, skiing, Oak Openings, Wildwood, Metroparks Toledo, downtown, food, Bob Evans, Swig, Restaurant rule, Denver, solo move, different jobs, hanging with family, glue and so much more! https://www.wildrootphotography.com/

Perry Stancato is the founder and CEO of Signature Sauces and a third-generation operator of the beloved Cleveland institution, Stancato's Italian Restaurant.This conversation with Perry explores the entrepreneurial journey of someone who grew up in the family restaurant — from standing on a milk crate as a kid making waffles for Sunday brunch to running Stancato's today while simultaneously building Signature Sauces into a premier national food manufacturing partner.Signature Sauces began in 2005 with a simple idea: to bottle his family's legendary red sauce after customers kept asking for it. What started as a way to serve Stancato's loyal patrons quickly evolved into something much larger. Perry discovered that while retail was cutthroat and unforgiving, his passion and true product-market fit lay in foodservice — helping other restaurants scale their “secret sauces.” Today, Signature Sauces has grown into a company that helps make the products that make others famous, serving clients from local Ohio favorites to national brands like Bob Evans, Momofuku, Benihana, Barrio, and many more.Alongside that manufacturing growth, Perry continues to steward Stancato's — the restaurant that has been a Cleveland staple for decades. He reflects on the delicate balance of honoring a community legacy while making small, thoughtful changes to stay relevant across generations.In our conversation, Perry shares the challenges of taking nearly ten years to get Signature Sauces off the ground, the resilience it took to keep going, the lessons learned from retail versus foodservice, and what he's most proud of: seeing team members who started as dishwashers grow into leaders, and knowing his work helps thousands of diners enjoy meals every day. We also dive into his Ohio pride, from the region's food scene to partnerships like the Ohio State Buckeye Tailgate sauces, and his perspective on what it takes to build a legacy business in Cleveland.00:00:00 - The Legacy of Stancatos: A Family Business Journey00:09:03 - From Family Recipes to Signature Sauces00:12:49 - Navigating the Food Industry: Retail vs. Food Service00:17:15 - Scaling Up: The Art and Science of Sauce Production00:20:39 - The Future of Signature Sauces: Expanding Partnerships00:21:55 - The Entrepreneurial Journey Begins00:23:33 - Vision and Growth of Signature Sauces00:26:10 - Lessons from the Restaurant Industry00:29:10 - Balancing Time and Responsibilities00:31:40 - Building a Legacy in Ohio00:34:30 - Innovation and Technology in Food Production00:37:08 - Trends in the Culinary World00:39:44 - Understanding Risk and Success00:42:22 - Navigating Customer Relationships00:45:20 - Insights for Aspiring Food Entrepreneurs00:45:35 - Reflections on the Journey-----LINKS:https://www.signaturesauces.com/https://www.stancatos.com/https://www.linkedin.com/in/perry-stancato-799b16b/-----SPONSOR:Roundstone InsuranceRoundstone Insurance is proud to sponsor Lay of The Land. Founder and CEO, Michael Schroeder, has committed full-year support for the podcast, recognizing its alignment with the company's passion for entrepreneurship, innovation, and community leadership.Headquartered in Rocky River, Ohio, Roundstone was founded in 2005 with a vision to deliver better healthcare outcomes at a more affordable cost. To bring that vision to life, the company pioneered the group medical captive model — a self-funded health insurance solution that provides small and mid-sized businesses with greater control and significant savings.Over the past two decades, Roundstone has grown rapidly, creating nearly 200 jobs in Northeast Ohio. The company works closely with employers and benefits advisors to navigate the complexities of commercial health insurance and build custom plans that prioritize employee well-being over shareholder returns. By focusing on aligned incentives and better health outcomes, Roundstone is helping businesses save thousands in Per Employee Per Year healthcare costs.Roundstone Insurance — Built for entrepreneurs. Backed by innovation. Committed to Cleveland.-----Stay up to date by signing up for Lay of The Land's weekly newsletter — sign up here.Past guests include Justin Bibb (Mayor of Cleveland), Pat Conway (Great Lakes Brewing), Steve Potash (OverDrive), Umberto P. Fedeli (The Fedeli Group), Lila Mills (Signal Cleveland), Stewart Kohl (The Riverside Company), Mitch Kroll (Findaway — Acquired by Spotify), and over 200 other Cleveland Entrepreneurs.Connect with Jeffrey Stern on LinkedIn — https://www.linkedin.com/in/jeffreypstern/Follow Lay of The Land on X @podlayofthelandhttps://www.jeffreys.page/

You might know him as Bob Evans, Curtis Kimball, Gordon Jenson, Gerry Mockerman, or Larry Vanner– which is why he is most well known as the Chameleon Killer. Terry Peder Rasmussen is a convicted serial killer who is suspected to have at least 5 victims, likely many more, that he killed between 1978 and 2002 in New Hampshire and California. He is also the prime suspect in the technically unsolved Bear Brook murders, and suspected in many, many more. Click here to join our Patreon.  Connect with us on Instagram and join our Facebook group.  To submit listener stories or case suggestions, and to see all sources for this episode: https://www.inhumanpodcast.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices