| Constellation Research

From Forced Upgrades to Agentic AI: Rethinking ERP, Innovation, and Leadership | DisrupTV Ep. 428

Principal Analyst and Founder
Constellation Research

R “Ray” Wang is the CEO of Silicon Valley-based Constellation Research Inc. He co-hosts DisrupTV, a weekly enterprise tech and leadership webcast that averages 50,000 views per episode and blogs at www.raywang.org. His ground-breaking best-selling book on digital transformation, Disrupting Digital Business, was published by Harvard Business Review Press in 2015. Ray's new book about Digital Giants and the future of business, titled, Everybody Wants to Rule The World was released in July 2021. Wang is well-quoted and frequently interviewed by media outlets such as the Wall Street Journal, Fox Business, CNBC, Yahoo Finance, Cheddar, and Bloomberg. Short Bio R “Ray” Wang (pronounced WAHNG) is the Founder, Chairman, and Principal Analyst of Silicon Valley-based Constellation Research Inc. He…...

Elle DeRosa

Director of Marketing, Communications & Operations
Constellation Research

Elle is the Director of Marketing at Constellation Research and producer of the weekly enterprise tech show, DisrupTV. She leads marketing and communications efforts across all avenues while also managing an array of programs including the SuperNova Awards, Business Transformation 150, AX100, AI150, S50 and ShortLists. She has previous experience in public relations and has a strong passion for the marketing world. Contact Elle at [email protected] ...

Beating the Odds in an AI Era: Leadership, Probability Hacking, and the Power of Kindness

On the latest episode of DisrupTV, co-hosts Vala Afshar and R "Ray" Wang sat down with:

Seth Ravin, CEO of Rimini Street
Elizabeth Weingarten, author of How to Fall in Love with Questions
James Taylor, author of SuperCreativity

Together, they explored how agentic AI is changing enterprise software strategy, leadership behavior, and even how organizations approach creativity.

ERP Isn’t Going Away—But the Old Model Is

For decades, enterprises were locked into vendor-driven ERP roadmaps—forced upgrades, rigid timelines, and rising maintenance costs that didn’t always align with business outcomes.

Today, that model is breaking down.

ERP environments are increasingly becoming modular and composable, allowing CIOs and CFOs to mix best-of-breed capabilities across finance, CRM, supply chain, and operations. Instead of ripping out core systems, many organizations are layering agentic AI on top of legacy ERP to:

Adapt workflows to regulatory or market changes in real time
Reduce costly custom code changes
Improve agility without destabilizing core infrastructure

In short: modernization no longer has to mean migration.

Agentic AI Is Becoming a Structural Necessity

AI isn’t just a productivity boost—it’s becoming essential infrastructure.

With labor costs rising and global talent shortages accelerating due to aging populations and declining birth rates, enterprises must find ways to maintain performance without scaling headcount. Agentic AI can help organizations:

Reduce labor required per unit of output
Maintain service levels and compliance
Preserve margins under increasing competitive pressure

For CIOs already juggling multiple vendor AI roadmaps, the challenge isn’t adopting AI—it’s deciding which initiatives actually support enterprise strategy versus supplier agendas.

Leadership in the AI Era Requires Better Questions

While infrastructure matters, leadership mindset may matter more.

Elizabeth Weingarten emphasized that in an AI-rich environment—where answers are abundant—the real competitive advantage lies in asking better questions. Leaders who default to speed over reflection risk shallow thinking, confirmation bias, and diminished critical reasoning.

Developing a “questions practice” helps leaders:

Navigate uncertainty more effectively
Align decisions with organizational values
Open new strategic possibilities instead of narrowing prematurely

In the age of generative AI, curiosity becomes a leadership skill—not just a personality trait.

The Rise of Human-AI “SuperCreativity”

James Taylor introduced the concept of SuperCreativity: human creativity amplified by AI collaboration.

AI can now assist with:

Audience analysis before key presentations
Predicting stakeholder objections
Matching innovation ideas with collaborators across the enterprise

Rather than replacing creative work, AI is making human insight more targeted, effective, and scalable—helping surface “backstage heroes” and democratize innovation across teams.

As routine cognitive tasks become automated, creativity is rapidly emerging as one of the most valuable enterprise skills.

Key Takeaways

Modernization ? migration: Agentic AI can extend legacy ERP without disruptive upgrades.
Autonomy matters: Enterprises must align technology roadmaps to business outcomes—not vendor timelines.
AI addresses labor realities: Automation is becoming necessary to offset workforce constraints.
Questions are strategic assets: Better inquiry leads to better decisions in uncertain environments.
Creativity is scalable: Human-AI collaboration can unlock innovation across the organization—not just in R&D.

Final Thoughts

Agentic AI won’t just change how software works—it will reshape how enterprises make decisions, allocate resources, and compete.

The organizations that succeed in this next era will be those that:

Reclaim autonomy from vendor-driven roadmaps
Encourage leaders to ask better strategic questions
Treat creativity as a core organizational capability

In a world of infinite AI-generated answers, competitive advantage may ultimately belong to leaders who chart their own direction—and remain curious enough to question it along the way.

Related Episodes

If you found Episode 428 valuable, here are a few others that align in theme or extend similar conversations:

Future of Work Tech Optimization New C-Suite ERP Chief Executive Officer Chief Technology Officer Chief AI Officer Chief Experience Officer

Read more about From Forced Upgrades to Agentic AI: Rethinking ERP, Innovation, and Leadership | DisrupTV Ep. 428

From “activation energy” and agent orchestration to donkeycorns and relationship capital, DisrupTV 425 explains what actually separates AI hype from real business impact.

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Career Uncertainty: Why Saying “I Don’t Know” Builds Stronger Leaders

R "Ray" Wang

Principal Analyst and Founder
Constellation Research

Careers are often measured by titles and compensation, but leadership decisions are usually shaped by something deeper: understanding your own value.

At the Davos World Economic Forum, Constellation founder R "Ray" Wang joined Udemy's Elizabeth Weingarten to discuss the mindset behind taking risks and building something of your own. A pivotal moment came from a simple question his father asked during a major transition: not “What will you EARN?” but “What are you WORTH?”

In the episode, Ray shares how that shift in thinking ultimately led to starting Constellation Research — moving from earning a salary to investing in ideas, perspective, and long-term impact.

Future of Work Leadership

Read more about Career Uncertainty: Why Saying “I Don’t Know” Builds Stronger Leaders

Integration Tax is the new AI tax, Zoho plans to crush it | ZohoDay 2026 Recap

Liz Miller

Vice President & Principal Analyst
Constellation Research

About Liz Miller: Liz Miller is Vice President and Principal Analyst at Constellation, focused on the org-wide team sport known as customer experience. While covering CX as an enterprise strategy, Miller spends time zeroing in on the functional demands of Marketing and Service and the evolving role of the Chief Marketing Officer, the rise of the Chief Experience Officer, the evolution of customer engagement, and the rising requirement for a new security posture that accounts for the threat to brand trust in this age of AI. With over 30 years of marketing experience, Miller offers strategic guidance on the leadership, business transformation, and technology requirements to deliver on today’s CX strategies. She has worked with global marketing organizations to transform everything from…...

Martin Schneider

Vice President and Principal Analyst
Constellation Research

Martin Schneider has had a unique career that has spanned both analyst and marketing practitioner roles, focused on high technology and related industries. The unifying factor has always been both a keen analysis of go-to-market trends, while also having achieved success as a marketing leader. Schneider started his career as a journalist covering B2B technologies, and quickly transitioned into a leading analyst covering application software for the 451 Group in NYC, where he specialized in CRM, marketing automation, and business intelligence/analytics technologies. After analyzing various go-to-market strategies of dozens of technology vendors, Schneider made the move to the vendor side, where he led successful go-to-market teams for several startups and established tech providers,…...

Holger Mueller

Vice President and Principal Analyst
Constellation Research

Holger Mueller is VP and Principal Analyst for Constellation Research for the fundamental enablers of the cloud, IaaS, PaaS and next generation Applications, with forays up the tech stack into BigData and Analytics, HR Tech, and sometimes SaaS. Holger provides strategy and counsel to key clients, including Chief Information Officers, Chief Technology Officers, Chief Product Officers, Chief HR Officers, investment analysts, venture capitalists, sell-side firms, and technology buyers.  Coverage Areas: Future of Work Tech Optimization & Innovation  Background: Before joining Constellation Research, Mueller was VP of Products for NorthgateArinso, a KKR company. There, he led the transformation of products to the cloud and laid the foundation for new Business Process as a…...

Larry Dignan

Editor in Chief of Constellation Insights
Constellation Research

Larry Dignan is Editor in Chief of Constellation Insights at Constellation Research, where he leads editorial coverage focused on enterprise technology, digital transformation, and emerging trends shaping the future of business. He oversees research-driven news, analysis, interviews, and event coverage designed to help technology buyers and vendors navigate complex markets with clarity and context. ...

Chirag Mehta

Vice President and Principal Analyst
Constellation Research

Chirag Mehta is Vice President and Principal Analyst focusing on cybersecurity, next-gen application development, and product-led growth. With over 25 years of experience, he has built, shipped, marketed, and sold successful enterprise SaaS products and solutions across startups, mid-size, and large companies. As a product leader overseeing engineering, product management, and design, he has consistently driven revenue growth and product innovation. He also held key leadership roles in product marketing, corporate strategy, ecosystem partnerships, and business development, leveraging his expertise to make a significant impact on various aspects of product success. His holistic research approach on cybersecurity is grounded in the reality that as sophisticated AI-led attacks become…...

Zoho Day 2026 did not disappoint. From Zoho's new app OS architecture and de-layered platform vision to a unified data layer powering AI, CRM, and RevTech, the message was clear: integration tax is the new AI tax, and Zoho plans to crush it.

Hear what the Constellation analyst team had to say on personal takeaways and implications for the future of enterprise technology.

Future of Work Tech Optimization Innovation & Product-led Growth AI CRM Chief Digital Officer Chief Data Officer

Read more about Integration Tax is the new AI tax, Zoho plans to crush it | ZohoDay 2026 Recap

Experience on Our Minds: How Cross-Functional Partnerships Accelerated AI Success in CX at IBM

Liz Miller

Vice President & Principal Analyst
Constellation Research

Discover how cross-functional partnerships between customer experience leaders and developers are turning AI promise into real-world impact. Liz Miller, VP & Principal Analyst at Constellation Research, shares insights from IBM TechXchange—a “Customer Experience Day” hiding in plain sight among builders and developers.

Liz unpacks:

The “two polls” that reveal what developers really worry about with AI (accuracy, training data, and outcomes)
Why customer and employee experience is the #1 place builders want to apply AI
The challenges teams face with data access, quality, and legacy systems
How Scuderia Ferrari and IBM are using AI and up to 10,000 data points per second to transform fan engagement
Why CX, data, and AI must become a team sport across marketing, service, sales, commerce, and development

If you’re a customer experience, marketing, service, or product leader wondering how to work better with your builders—and how to turn operational data into unforgettable experiences—this talk is for you.

Next-Generation Customer Experience Future of Work CX Employee Experience Customer Experience developer Chief Marketing Officer Chief People Officer

Read more about Experience on Our Minds: How Cross-Functional Partnerships Accelerated AI Success in CX at IBM

On CR Conversations

Cisco AI Summit 2026 Key Takeaways | With R "Ray" Wang & Chirag Mehta

Chirag Mehta

Vice President and Principal Analyst
Constellation Research

R "Ray" Wang

Principal Analyst and Founder
Constellation Research

Cisco AI Summit 2026 communicated a clear message through its powerhouse lineup of speakers: AI is real, it’s here, and the gap will widen quickly between those who experiment boldly and those who wait.

Here are key takeaways from CR analysts R "Ray" Wang and Chirag Mehta:

OpenAI vs. Anthropic: Two very different cultures and go-to-market motions—consumer-first vs. enterprise-first—but both pushing the frontier fast.
Metrics matter (from AWS’s Matt Garman): Most generativeAI POCs fail not because of the tech, but because they lack clear success criteria.
Context is everything: Teams that started with A#I from day one are seeing 100x gains vs. ~10x for those retrofitting AI onto existing workflows.
Prompt is the craft (from Dylan Field): AI doesn’t replace designers and developers—the value shifts to how well you frame problems and prompts.
Beyond digital intelligence (from Fei Fei Li): The next frontier is physical and spatial intelligence—how AI perceives and interacts with the real world.
Cisco’s three big gaps: Infrastructure, data, and trust will define who actually wins with AI at scale.

As R "Ray" Wang summarized: we’re entering a world of margin compression, exponential scale (10x/100x/1000x), and seemingly infinite possibilities, but only for those who apply AI with precision and clear order of operations.

Looking forward to continuing these conversations at the Constellation's AI Forum on March 19, 2026, in Menlo Park, CA, where we’ll focus on real-world lessons from Chief AI Officers and operators in the trenches.

Learn more here: https://www.constellationr.com/event/2026/constellations-ai-forum-2026

Future of Work Tech Optimization Data to Decisions Digital Safety, Privacy & Cybersecurity AI Agentic AI Generative AI Digital Transformation

Read more about Cisco AI Summit 2026 Key Takeaways | With R "Ray" Wang & Chirag Mehta

SaaSpocalypse, Cisco AI Summit & Agentic GTM KPIs | ConstellationTV Episode 123

Larry Dignan

Editor in Chief of Constellation Insights
Constellation Research

Martin Schneider

Vice President and Principal Analyst
Constellation Research

Hannah Mason

Marketing Director
Constellation Research

Hannah Mason is a marketing director at Constellation Research. She oversees brand positioning, creative direction, and content development across digital platforms, events, and campaigns. Her work spans branding and design—including graphics, sales collateral, and event presentations—along with website content management, newsletters, and Constellation Insights. Mason also manages surveys and produces Constellation’s video collateral, including ConstellationTV. Her role ensures that the Constellation brand is communicated with clarity, creativity, and consistency across all channels. Contact Hannah at [email protected]. ...

In ConstellationTV episode 123, the Constellation analyst team tackles a question many enterprise technology leaders are quietly asking: Is SaaS over in an AI-first world, or are the rules simply changing? Here is a recap of the main episode takeaways with co-hosts Larry Dignan and Martin Schneider.

“SaaS Apocalypse”: Market Reset, Not Extinction

Analysts Martin Schneider and Larry Dignan address the narrative that “SaaS is dead.” Their view: while the delivery model survives, the business model is under massive pressure.

From Record to Reasoning: Core systems like CRM and ERP aren't disappearing, but they must become AI-enabled, AI-embedded, or AI-native to justify their cost.
The "NFL Roster" Approach: CXOs should treat their SaaS estate like a pro sports team—identifying which vendors are past their prime, which upstarts have genuine upside, and where to create "cap space" through consolidation.
Ownership Risk: Private equity–backed software firms caught in "death spiral flywheels" of debt and cost-cutting may struggle to produce real AI differentiation.

The New Infrastructure Oligarchs

The shift toward AI has triggered a massive capex cycle among hyperscalers.

Proprietary Silicon: Leaders like Amazon and Google are investing hundreds of billions to build their own silicon rather than renting margin from others.
The Utility Gilded Age: Much like the railroad magnates of the past, cloud leaders who own the infrastructure stack will become the new network oligarchs.
Strategy for CXOs: Assume a small number of strategic hyperscaler partners and a broader ecosystem of domain ISVs and agents layered on top.

Dispatch from the Cisco AI Summit

R "Ray" Wang and Chirag Mehta provided ground-level insights from the Cisco AI Summit, highlighting a "capability overhang" where model potential outpaces enterprise readiness.

OpenAI vs. Anthropic: OpenAI is moving at a breakneck speed that some customers struggle to absorb, while Anthropic is positioning itself as a more enterprise-centric partner with a heavy focus on Claude in production and roadmap clarity.
Context is King: AWS’s Matt Garman noted that teams building greenfield workflows optimized for AI see ~100x improvements, compared to only ~10x for those bolting AI onto existing patterns.
The Frontier: Visionaries like Fei-Fei Li (World Labs) are pointing toward physical and spatial intelligence—AI that understands and acts within 3D environments.

From Expertise to Experience

In a panel with Larry Dignan, Esteban Kolsky, and Michael Ni, the team explored the boundary between machine and human.

Machines as Expertise Engines: AI excels at rules, facts, and probabilities—codifying structured expertise.
Humans as Experience Engines: Humans lead in judgment under constraints and trade-offs across ambiguous signals.
The Context Gap: Context is the critical bridge. A model might suggest an order based on demand, but a human knows the SKU is being discontinued. Bridging this requires managing life cycle context and explicit decision rights.

Measuring Agentic GTM: KPIs That Matter

To close, Martin Schneider introduced his new Big Idea report on measuring AI agents in go-to-market motions. As organizations deploy dozens of agents, a small number of well-scoped agents with clear KPIs will outperform "agent sprawl."

Automation Multipliers: Measuring lead volume and handling capacity per human FTE.
Conversion Quality: Tracking if AI-augmented motions improve win rates and drive higher-margin, strategic deals rather than just increasing speed.

As AI moves from a "capability overhang" to a functional reality, the organizations that thrive will be those that stop bolting AI onto legacy patterns and instead start redesigning their workflows, infrastructure, and GTM metrics around the new rules of agentic execution.

Future of Work Tech Optimization Data to Decisions Innovation & Product-led Growth Next-Generation Customer Experience SaaS SaasPocalypse AI Agentic AI Chief Data Officer Chief Digital Officer Chief Executive Officer Chief AI Officer

Read more about SaaSpocalypse, Cisco AI Summit & Agentic GTM KPIs | ConstellationTV Episode 123

On ConstellationTV

Beating the Odds: AI Leadership, Enterprise Advantage, and Probability Hacking | DisrupTV Ep. 427

R "Ray" Wang

Principal Analyst and Founder
Constellation Research

Elle DeRosa

Director of Marketing, Communications & Operations
Constellation Research

Beating the Odds in an AI Era: Leadership, Probability Hacking, and the Power of Kindness

On the latest episode of DisrupTV, co-hosts Vala Afshar and R "Ray" Wang welcomed two guests who approached success and leadership from very different—but deeply complementary—angles: Kyle Young, author of Success Is a Numbers Game, and Jon Reed, co-founder and Editor-in-Chief of diginomica.

Together, they explored a central question facing leaders today:
How do you improve your chances of success—and lead responsibly—when AI, uncertainty, and constant disruption are reshaping work and business?

The answer, it turns out, lies at the intersection of probability, enterprise AI leadership, and human-centered values.

Success Is a Numbers Game: Kyle Young on Probability Hacking

Kyle Young’s message challenges a common misconception: that success is primarily about motivation, grit, or positive thinking. In reality, he argues, success is governed by probabilities—and most people dramatically overestimate their odds.

Big goals often fail because too many things must go right at once. We tend to average our confidence instead of multiplying risk. When success depends on ten or more conditions, even small weaknesses compound quickly.

Young introduced probability hacking, a disciplined approach to improving outcomes by identifying potential bad outcomes (PBOS) and deliberately reducing their likelihood. His tool, the success diagram, maps:

The goal
Everything that must go right
Everything that could go wrong
Concrete actions to de-risk each step

Rather than relying on optimism, probability hacking forces leaders and individuals to confront risk head-on and transfer probability from failure to success.

Young shared how this approach shaped his own career—from recovering after multiple layoffs to intentionally building the credibility, platform, and relationships needed to become a published author. The lesson: success improves when you stop guessing and start designing your odds.

The Paradox of AI Leadership

The conversation then shifted from personal success to enterprise leadership, with Jon Reed offering a grounded and often contrarian view of AI.

Reed described today’s paradox of AI leadership: organizations feel intense pressure to “move fast” on AI, yet the consequences of getting it wrong—on people, trust, and outcomes—have never been higher.

He emphasized that real AI leadership requires:

Transparency about where AI is headed and how it affects employees
Outcome-driven thinking, not tool obsession
Technical and data literacy at the leadership level

Reed drew a clear distinction between consumer AI—impressive but fragile—and enterprise AI, where reliability, governance, security, and context are non-negotiable. Flashy demos may inspire, but enterprise value comes from systems that work consistently, explain decisions, and integrate with real business processes.

Rather than mandating AI usage, Reed argued leaders should mandate AI understanding—especially when AI influences hiring, performance, compensation, or customer outcomes. The goal is not adoption theater, but sustainable value.

Creating Space for Experimentation

A recurring theme was culture. Reed stressed the importance of safe experimentation—sandbox environments where teams can explore AI responsibly, test ideas, and bring back improvements organically.

When AI genuinely helps people do their jobs better, adoption follows naturally. When it doesn’t, mandates only deepen resistance. The role of leadership is to create the conditions for curiosity, learning, and trust.

Kindness as a Leadership Practice

In one of the episode’s most human moments, the conversation turned to kindness. Reed reflected on how intentional kindness—especially during moments of stress and disruption—can change how leaders show up.

Vala Afshar shared a simple but powerful reframing: instead of asking, “How was your day?” ask, “Who did you help today?” Over time, that question builds empathy, purpose, and a culture where helping others becomes part of identity—not an afterthought.

In an era where AI accelerates change and anxiety, kindness isn’t a soft skill—it’s a stabilizing force.

Final Thoughts

This episode delivered a clear message for leaders navigating the AI era:

Don’t rely on hope—design your odds. Use probability thinking to de-risk success.
Lead AI with clarity and literacy. Focus on outcomes, trust, and understanding—not hype.
Anchor leadership in humanity. Kindness, practiced intentionally, strengthens cultures under pressure.

Beating the odds in an AI-driven world isn’t just about smarter models or bigger investments. It’s about how thoughtfully leaders manage risk, how responsibly they deploy technology, and how intentionally they choose to show up for the people around them.

Related Episodes

If you found Episode 427 valuable, here are a few others that align in theme or extend similar conversations:

Future of Work Tech Optimization New C-Suite Chief Executive Officer Chief Technology Officer Chief AI Officer Chief Experience Officer

Read more about Beating the Odds: AI Leadership, Enterprise Advantage, and Probability Hacking | DisrupTV Ep. 427

From “activation energy” and agent orchestration to donkeycorns and relationship capital, DisrupTV 425 explains what actually separates AI hype from real business impact.

How AI Will Transform Business Models, Leadership & Growth

R "Ray" Wang

Principal Analyst and Founder
Constellation Research

Live from Davos 2026 at the IBM House, Constellation Research’s Ray Wang sits down with IBM’s Neil Dhar to explore how AI is moving from proof-of-concept experiments to real, measurable business transformation.

In this conversation, they discuss:

How IBM combines a world-class consulting firm with a world-class technology platform
The “client zero” story: $4.5B in run-rate savings and how those funds innovate
IBM’s new AI transformation platform and ready-made agents that help clients drive ROI
Key insights from IBM’s Enterprise 2030 thought leadership report
What organizations will look like in 2030: self-learning, AI-infused, and continuously evolving
The new demands on leaders: from custodians to transformers
Themes from Davos: business model reinvention, scenario planning, and managing fear in times of rapid change

If you’re a CEO, business leader, or transformation executive wondering how to put AI to work—beyond the hype—this interview breaks down the roadmap from experimentation to real value creation.

Data to Decisions Future of Work AI Data to Decisions Cloud LLMs business Chief Data Officer Chief AI Officer Chief Revenue Officer

Read more about How AI Will Transform Business Models, Leadership & Growth

Off

Why Your AI Fails Without Data & Workflows Private

R "Ray" Wang

Principal Analyst and Founder
Constellation Research

At AWS re:invent, R "Ray" Wang talks with Caroline Roche of IBM about how IBM and AWS are partnering to help enterprises move from AI experiments to real business outcomes.

They explore:

Why agentic AI is changing the focus from processes to end-to-end workflows
How to break down functional silos and drive cross-department collaboration
Why AI success depends on data investment, structure, and orchestration across ERP, CRM, and business apps
Real examples of decisions that can be delegated to agents, like pricing and travel approvals
The mindset shift leaders need: stop “buying AI” and start designing workflows and outcomes

Data to Decisions Future of Work Next-Generation Customer Experience AI Data to Decisions Cloud LLMs business Chief Data Officer Chief AI Officer

Read more about Why Your AI Fails Without Data & Workflows Private

Off

IBM’s Advantage Platform: Killing Technical Debt and Scaling AI on AWS

Holger Mueller

Vice President and Principal Analyst
Constellation Research

How do you take projects that used to take 10 months and deliver them in 8 weeks? In this AWS re:Invent conversation, IBM’s Javier Olaizola Casin explains how IBM and AWS are helping enterprises accelerate with data, AI, and hybrid cloud.

We discuss:

How IBM's Advantage agentic framework reduces cycle times from months to weeks
Tackling technical debt and large-scale application modernization (including VMware exits)
Why data curation, governance, and compliance are the real enablers of AI at scale
The role of hybrid cloud and AI in transforming workflows and business processes
How to move from incremental efficiency gains to step-change business impact
Rethinking organizational design for an “always-on,” agentic enterprise
Scaling backend systems for a world where every human has multiple AI agents

If you’re working on enterprise AI, modernization, or hybrid cloud strategy, this interview offers a practical view on what it really takes to move faster than your market.

Data to Decisions Future of Work Next-Generation Customer Experience AI Data to Decisions Cloud LLMs Chief Data Officer Chief AI Officer

Read more about IBM’s Advantage Platform: Killing Technical Debt and Scaling AI on AWS

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Results

From Forced Upgrades to Agentic AI: Rethinking ERP, Innovation, and Leadership | DisrupTV Ep. 428

Beating the Odds in an AI Era: Leadership, Probability Hacking, and the Power of Kindness

ERP Isn’t Going Away—But the Old Model Is

Agentic AI Is Becoming a Structural Necessity

Leadership in the AI Era Requires Better Questions

The Rise of Human-AI “SuperCreativity”

Key Takeaways

Final Thoughts

Related Episodes

Career Uncertainty: Why Saying “I Don’t Know” Builds Stronger Leaders

Integration Tax is the new AI tax, Zoho plans to crush it | ZohoDay 2026 Recap

Experience on Our Minds: How Cross-Functional Partnerships Accelerated AI Success in CX at IBM

Cisco AI Summit 2026 Key Takeaways | With R "Ray" Wang & Chirag Mehta

SaaSpocalypse, Cisco AI Summit & Agentic GTM KPIs | ConstellationTV Episode 123

“SaaS Apocalypse”: Market Reset, Not Extinction

The New Infrastructure Oligarchs

Dispatch from the Cisco AI Summit

From Expertise to Experience

Measuring Agentic GTM: KPIs That Matter

Beating the Odds: AI Leadership, Enterprise Advantage, and Probability Hacking | DisrupTV Ep. 427

Beating the Odds in an AI Era: Leadership, Probability Hacking, and the Power of Kindness

Success Is a Numbers Game: Kyle Young on Probability Hacking

The Paradox of AI Leadership

Creating Space for Experimentation

Kindness as a Leadership Practice

Final Thoughts

Related Episodes

How AI Will Transform Business Models, Leadership & Growth

Why Your AI Fails Without Data & Workflows Private

IBM’s Advantage Platform: Killing Technical Debt and Scaling AI on AWS