Marie Wilcox, VP of Marketing at Binalyze, has built a marketing engine powered by AI agents—what she calls Nova Bots—that has fundamentally changed her go-to-market motion. Moving from a traditional SDR model to agentic workflows trained on intent data and personalised content, she has achieved MQL-to-SQL conversion rates of 18–20%, improved lead quality significantly, and accelerated sales cycles. But here's the critical insight: the technology only works if the foundation is solid. 

"Without good training, without good product knowledge, you just end up with rubbish," Marie says.

In this episode, she walks through the practical implementation, the role of tools like HubSpot, Clay, n8n, and custom GPTs, and why the future of marketing demands prompt engineering and GTM engineering skills. The conversation challenges the myth that AI replaces people—instead, it augments expertise when deployed thoughtfully.

Timestamps

00:00:00 - AI as enhancement, not replacement.

00:03:00 - Finalize and the problem it solves.

00:05:00 - How forensic data automation works.

00:08:00 - Enterprise and MSP customer base.

00:09:00 - Marketing mix: thought leadership, events, inbound, outbound.

00:10:00 - Replacing SDRs with AI agents.

00:11:00 - Nova Bots: personalisation at scale using Clay and N8N.

00:13:00 - Building custom GPTs for consistent messaging.

00:16:00 - How sophisticated workflows simplify outbound.

00:18:00 - Intercom and website chat automation.

00:20:00 - Results: conversion rates and ROI.

00:21:00 - MQL to SQL conversion improvement to 18-20%.

00:23:00 - AI training, hallucination risks, and human oversight.

00:25:00 - Company-wide AI Day and N8N learning.

00:28:00 - AI as a resource, not a replacement.

00:30:00 - The future of marketing skills.

00:33:00 - The evolving landscape of AI tools.

00:34:00 - Final advice for marketers embracing AI.

Guest bio

Marie Wilcox is Vice President of Marketing at Binalyze, a next-generation automated investigation and response platform for cybersecurity teams. With 20 years of B2B marketing experience across cybersecurity, data analytics, and SaaS, she has worked with enterprises including BAE Systems, Siemens, and McLaren Applied, as well as high-growth scale-ups. Marie is a Fellow of the Chartered Institute of Marketing, chairs the CIM Southeast Region, and sits on the board of the Chartered Institute of Information Security. She pioneered two Gartner market categories: Continuous Controls Monitoring and Cloud Investigation Response Automation.

Resources and links mentioned

Marie Wilcox on LinkedIn 

Tim Bond on LinkedIn 

Binalyze

HubSpot

Clay 

n8n

Intercom

Want to teach your team to build their own AI agents that act like teammates, boosting productivity, quality and job satisfaction? Get your FREE AI Opportunity Report (for listeners with teams of six or more), a quick team survey and consultation that maps priority workflows, time saved and ROI from an AI upskilling programme. Visit Cogniscale.com and enter promo code PODCAST.

Follow and rate the podcast on Spotify or Apple Podcasts.

Got a burning topic or question? Email [email protected]

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"Efficiency truly is a race to the bottom. If everybody has a hundred times the same capability, it no longer becomes a differentiator." Nikki Barua, CEO and co-founder of FlipWork.

Tim Bond speaks with Nikki Barua, CEO and co-founder of FlipWork, about why companies are pouring money into AI technology but leaving their people behind. Nikki calls this the "exponential divide", the growing gap between the speed of AI and the speed at which people are adapting. With 25 years helping Fortune 500 companies navigate technology disruption, she argues that efficiency gains alone are a race to the bottom. The real opportunity lies in what organisations do with the capacity AI creates, and that starts with preparing people, not just installing tools.

Guest bio

Nikki Barua is CEO and co-founder of FlipWork. A serial entrepreneur and bestselling author, she has spent 25 years driving business change at Fortune 500 companies, with early career roles at EY, Compuware and Sapient. Her work has been featured in CNBC, Bloomberg, Fortune and Forbes.

Timestamps 

00:00:00 Introduction and Nikki's career background 

00:03:00 What is FlipWork and its mission 

00:04:00 The people squared concept and human-machine collaboration 

00:06:00 Why efficiency is a race to the bottom 

00:07:00 The future of AI in areas like leadership judgement and context 

00:08:00 Why the quality of human input determines AI output quality 

00:09:00 Same-day delivery analogy: when AI efficiency becomes table stakes 

00:10:00 The real differentiator: imagination and creativity 

00:11:00 How the best companies improve every step of their value chain 

00:14:00 What to do with greater collective capacity 

00:15:00 A word from our sponsor, CogniScale 

00:16:00 FlipWork's grassroots approach using 90-day sprints 

00:19:00 Why AI training alone does not change businesses 

00:20:00 Who should lead AI adoption and the COO's role 

00:22:00 FlipWork's proprietary diagnostic and agentic velocity assessment 

00:24:00 Success breeds more success: building momentum across teams 

00:25:00 The 36-point diagnostic survey 

00:27:00 Phase one: human augmentation vs fully automated workflows 

00:28:00 Priming: preparing individuals and teams for the agentic future 

00:29:00 Blank slate thinking: designing from the future state back 

00:31:00 Why this is good for careers, not just companies 

00:32:00 FlipWork's go-to-market: Fortune 500 clients and big four partnerships 

00:34:00 Proprietary methodology and partner licensing

Resources and links 

Nikki Barua on LinkedIn: https://www.linkedin.com/in/nikkibarua/ 

Tim Bond on LinkedIn: https://www.linkedin.com/in/tngbond/ 

FlipWork: https://www.flipwork.ai

Want to teach your team to build their own AI agents that act like teammates, boosting productivity, quality and job satisfaction? Get your FREE AI Acceleration Report (for listeners with teams of six or more), a quick team survey and consultation that maps priority workflows, time saved and ROI from an AI upskilling programme. Visit Cogniscale.com and enter promo code PODCAST.

Follow and rate the podcast on Spotify or Apple Podcasts. Got a burning topic or question? Email [email protected] Find out more about TechPros.io: https://techpros.io/ Upcoming events and roundtables: https://techpros.io/virtual-experiences/ Join the podcast community on LinkedIn: https://www.linkedin.com/company/enterprise-thought-leadership/

Is AI adoption failing in your organisation because technology isn't the problem? Nikki Barua, founder and CEO of FlipWork, joins Tim Bond to explore why AI transformation depends on preparing people, not just deploying systems. Drawing on experience leading digital transformation at major retailers and consulting for Fortune 500 companies, Nikki explains how to move teams from AI resistance to genuine enthusiasm about working alongside intelligent agents.

The discussion examines why people readiness has become the critical bottleneck for AI transformation, how to overcome fears that AI will replace jobs, and the diagnostic approach to identifying high-impact AI opportunities. Nikki shares FlipWork's methodology for building skills that complement rather than compete with AI, and how 90-day sprints create measurable transformation outcomes.

Timestamps:

- 00:10:30 - Nikki's background in digital transformation and retail

- 00:12:45 - The people problem blocking AI adoption

- 00:15:20 - Why technologists underestimate change management

- 00:18:40 - Moving beyond fear to genuine AI enthusiasm

- 00:21:15 - The diagnostic process for AI implementation

- 00:24:30 - Creating compelling visions of the future state

- 00:27:45 - Building performance plans around AI collaboration

- 00:30:15 - What becomes possible when 80% of capacity is released

- 00:33:00 - FlipWork's approach: diagnostic, sprints, and custom tools

- 00:35:00 - Licensing methodology to major consultancies

About Nikki Barua

Nikki Barua is a serial entrepreneur, keynote speaker, and bestselling author with 25 years of experience in digital transformation. As founder and CEO of FlipWork, she helps Fortune 500 companies prepare their teams for an agentic future. Her work focuses on unlocking human capability alongside AI adoption, bridging the gap between technology investment and people readiness. Nikki's accolades include Entrepreneur of the Year by ACE and recognition as one of Entrepreneur Magazine's 100 Most Influential Women.

Resources and links mentioned

- Nikki Barua on LinkedIn: https://www.linkedin.com/in/nikkibarua/

- Tim Bond on LinkedIn: https://www.linkedin.com/in/tngbond/

- FlipWork: https://flipwork.io/

Follow the podcast

Subscribe and rate the Enterprise Thought Leadership podcast on Apple Podcasts (https://podcasts.apple.com/za/podcast/eps-7-sales-marketing-aligning-sales-marketing-for-success/id1589244003?i=1000620098189) and Spotify (https://open.spotify.com/show/2NVPXPA0aaDcvHW2EtQcnb). Have questions or topics you'd like explored? Email the team at [email protected].

Find out more about TechPros.io at https://techpros.io/ or explore upcoming events and roundtables at https://techpros.io/virtual-experiences/. Join the podcast community on LinkedIn: https://www.linkedin.com/company/enterprise-thought-leadership/.

Want to teach your team to build their own AI agents that act like teammates, boosting productivity, quality, and job satisfaction? Get your FREE AI Acceleration Report (https://cogniscale.com/ai-acceleration-report) for listeners with teams of six or more. This quick team survey and consultation maps priority workflows, time saved and ROI from an AI upskilling programme. Visit Cogniscale.com and enter promo code PODCAST.

Why do successful marketing teams suddenly lose their pipeline? Philippe Ruttens, fractional CMO with 30 years of experience, reveals it's not about tools or tactics. It's about failing to align with commercial reality. Philippe challenges the "AI first" narrative, arguing that revenue marketing must come before AI implementation. He shares his three-phase methodology: foundation, execution and scaling. The conversation explores managing multi-generational dynamics, why marketing's safety net now lies in unique value rather than job titles, and why the CMO of the future must speak the language of the CFO.

"The true safety net now is your unique value rather than your employer. Your network, your mindset, being able to say no also is important."

Guest bio

Philippe Ruttens is a fractional CMO and marketing transformation coach with 30 years of experience across major organisations including Accenture and Arthur Andersen. He specialises in helping B2B marketing teams transition from traditional brand-focused approaches to revenue-centric models, with particular focus on organisational change management across multi-generational teams.

Timestamps

00:01:00 – Philippe's 30-year career journey and recent return from Japan

00:02:00 – The speed of change: how every skill and role must adapt

00:04:00 – Mindset versus aptitude: why attitudes are harder to change than skills

00:06:00 – AI's impact on bottom line versus top line: productivity and efficiency

00:07:00 – Organisational alignment as the biggest gap in AI transformation

00:08:00 – Moving a marketing team from AI-agnostic to AI-forward

00:09:00 – Why "AI first" really means human and strategic first

00:11:00 – The three phases: foundation, execution and scaling

00:13:00 – Change management through workshops, reporting and governance

00:15:00 – What transformational leadership looks like during change

00:17:00 – Leading multi-generational teams: Gen X, millennials and Gen Z

00:20:00 – Staying relevant through curiosity, openness and routine learning

00:22:00 – Why your unique value matters more than your employer

00:25:00 – The safety net: being a connector and facilitator

00:26:00 – The CMO's evolving role: from brand focus to revenue marketing

00:29:00 – Agentic AI opportunities and the dangers of shiny objects

00:32:00 – Why human augmentation should come before complex workflows

00:34:00 – Key advice: align your KPIs with board language and priorities

Resources and links

Philippe Ruttens on LinkedIn – https://www.linkedin.com/in/ruttens

Tim Bond on LinkedIn – https://www.linkedin.com/in/tngbond/

Want to teach your team to build their own AI agents?

Get your FREE AI Acceleration Report (for listeners with teams of six or more), a quick team survey and consultation that maps priority workflows, time saved and ROI from an AI upskilling programme. Visit Cogniscale.com and enter promo code PODCAST.

FREE AI Acceleration Report – https://cogniscale.com/ai-acceleration-report

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Transcript

A full transcript of this episode is available on request.

End users now expect access to all data, all systems, all the time. That simple demand is forcing automation vendors to rethink everything about how they build software. For an industry built on hardware, the shift is fundamental: software has become the key differentiator, the interface customers touch and see.

Martin Jette, Vice President of Partner Sales Solution Providers at AVEVA, has spent 30 years navigating this transformation. In this episode, he and host Taryn Breetzke explore the build versus partner dilemma facing automation vendors, the importance of interoperability, and why collaboration across customers, suppliers and even competitors has become essential.

The conversation examines the three-layer automation stack creating new competitive pressures, shifting hiring patterns, the Accenture-Siemens partnership and practical frameworks for partnership decisions, highlighting how companies like Rockwell Automation now generate 35% of their revenue from software.

Martin explains why the looming 2038 bug means vendors must make architecture decisions now rather than later, and how companies like Eaton and Axens are partnering with AVEVA to create entirely new service-based business models in manufacturing.

Guest bio

Martin Jette is Vice President of Partner Sales Solution Providers at AVEVA, where he leads embedded and managed solutions programmes. A chemical engineer by training, Martin has spent 30 years at AVEVA building partnerships with automation vendors including Rockwell, Honeywell, Eaton and Yokogawa. He is based in Montreal, Canada.

Timestamps

00:01:55 – Martin's background and 30 year journey at AVEVA

00:05:33 – How software has become the differentiator in automation

00:07:41 – The Accenture-Siemens partnership and what it signals

00:09:34 – Customer expectations: all data, all systems, all the time

00:11:40 – Openness and interoperability as table stakes

00:15:02 – The build vs. partner framework

00:19:11 – Radical collaboration and the Axens connected catalyst example

00:21:43 – Competitive pressures and disruption from multiple directions

00:27:31 – Why the partnership approach is here to stay

00:28:15 – Real barriers from automation vendors

00:33:05 – The Y2038 bug and why decisions must be made now

00:33:41 – Measuring success: Rockwell's 35% software revenue

00:38:40 – Three practical recommendations for automation leaders

Resources and links

• Martin Jette on LinkedIn – VP Partner Sales, Embedded and Managed Solutions programs at AVEVA

• Taryn Breetzke on LinkedIn – Podcast host

• AVEVA – AVEVA is a global leader in industrial software, helping businesses modernise operations and improve sustainability.

• Rockwell Automation – Partnership example discussed

• Eaton Corporation – AVEVA Edge integration example

• Axens – Connected catalyst case study

• Thought Leadership research - The software dilemma in industrial automation

Subscribe and connect

If you enjoyed this episode, please follow and rate the show.

• Listen on Spotify

• Listen on Apple Podcasts

• Join the LinkedIn community

Have a topic or question for the podcast? Email [email protected]

Find out more about TechPros.io: https://techpros.io/

Tim Bond speaks with leadership coach and author Payal Nanjiani, whose work spans Fortune 500 organisations, mid-sized firms and fast-growth teams across the world. Payal explains why many leaders feel unsettled about AI despite their excitement, and how this shift reveals something deeper about how people learn, grow and relate to one another.

Payal draws on her experience working across industries from entertainment to manufacturing, sharing why human qualities such as presence, emotional balance and reflective thinking now matter more than ever. She explains how leaders can move from being sources of information to becoming sources of inspiration and transformation for their teams.

This episode is brought to you by Cogniscale. Want to teach your team to build their own AI agents that act like teammates, boosting productivity, quality and job satisfaction? Get your FREE AI Acceleration Report (for listeners with teams of six or more), a quick team survey and consultation that maps priority workflows, time saved and ROI from an AI upskilling programme. Visit Cogniscale.com and enter promo code PODCAST details in the show notes.

Timestamps:

00:01:00 Payal's journey from corporate HR to executive coaching

00:04:00 Blending Eastern philosophy with Western leadership

00:06:00 Working across industries on people transformation

00:09:00 AI as a tool for augmentation rather than replacement

00:12:00 Mixed reactions from leaders: excitement and fear

00:16:00 How leaders can help people find themselves

00:19:00 Cultivating qualities that machines cannot replicate

00:21:00 CEO resistance to AI transformation

00:25:00 Moving from top-down announcements to collaborative communication

00:29:00 Partnering with AI without losing individuality

00:33:00 Self-mastery as the key leadership skill

00:34:00 The importance of morning routines and reflection

00:36:00 Remembering what makes humans irreplaceable

Want to learn more? Connect with Payal Nanjiani on LinkedIn: https://www.linkedin.com/in/payalnanjiani/ Visit Payal's website: https://nanjiani.com Connect with Tim Bond: https://www.linkedin.com/in/tngbond/

If you like our podcast, please do follow us and rate each episode. Do you have burning topics or questions you'd like us to explore on the podcast? Email our team at [email protected]

Find out more about TechPros.io: https://techpros.io/ Upcoming Events and Roundtables: https://techpros.io/virtual-experiences/ Join our budding podcast community on LinkedIn: https://www.linkedin.com/company/enterprise-thought-leadership/

One month after ChatGPT launched, IE University's CEO issued an institutional statement: AI is "here for the rest of our lives". Since then, Chief Data Analytics Officer Francisco Aragonés has led their systematic approach to embedding AI across education. The results? Higher student engagement, improved grades, and a blueprint for how educational institutions can adopt AI whilst keeping humans at the centre. Tim Bond explores how IE University built what Francisco calls a "Swiss Army knife" of AI tools, from Socratic dialogue chatbots that develop critical thinking to AI tutors extending professors' reach beyond the classroom.

Guest bio

Francisco Aragonés is Chief Data Analytics Officer at IE University in Spain, where he leads AI implementation across all educational programmes. With a background spanning data analytics and educational technology, Francisco oversees the development of multiple AI artifacts designed for different pedagogical needs. Under his leadership, IE University has become a model for AI adoption in higher education, achieving measurable improvements in student outcomes whilst maintaining the human connection essential to learning.

Timestamps

00:00:00 Introduction to AI in education at IE University

00:02:30 CEO's decisive AI statement one month after ChatGPT

00:05:15 The Swiss Army knife approach to educational AI tools

00:08:45 Building Socratic dialogue chatbots for critical thinking

00:12:20 AI tutors extending professor availability

00:16:00 Measuring impact: engagement rates and grade improvements

00:19:30 Change management: bringing faculty on the journey

00:23:15 Addressing academic integrity and AI detection

00:27:00 Student feedback systems using rubrics

00:31:30 Agent hierarchies adapting to student queries

00:35:45 Making quality education globally accessible

00:39:20 Preparing students for AI-enhanced workplaces

00:43:00 Future vision for AI in education

00:46:30 Practical implementation advice for institutions

00:49:00 Closing thoughts on human-centred AI education

Resources and links

• Francisco Aragonés on LinkedIn – Chief Data Analytics Officer at IE University

• Tim Bond on LinkedIn – Podcast host and enterprise technology expert

• IE University – Leading institution for AI in education

• The Swiss Army Knife of Educational AI: Empowering Faculty with Modular Tools for Pedagogical Augmentation

• ChatGPT in Education Resources – OpenAI educational guidelines

• EU AI Act – Regulatory framework mentioned in discussion

• Socratic Method in Digital Learning – Educational methodology research

Want to teach your team to build their own AI agents that act like teammates, boosting productivity, quality, and job satisfaction? Get your FREE AI Acceleration Report (for listeners with teams of six or more), a quick team survey and consultation that maps priority workflows, time saved and ROI from an AI upskilling programme. Visit Cogniscale.com and enter promo code PODCAST.

Follow the podcast

• Apple Podcasts

• Spotify

• LinkedIn: Enterprise Thought Leadership

Contact: [email protected]

One month after ChatGPT launched, IE University's CEO issued an institutional statement: AI is "here for the rest of our lives". Since then, Chief Data Analytics Officer Francisco Aragonés has led their systematic approach to embedding AI across education. The results? Higher student engagement, improved grades, and a blueprint for how educational institutions can adopt AI whilst keeping humans at the centre. Tim Bond explores how IE University built what Francisco calls a "Swiss Army knife" of AI tools, from Socratic dialogue chatbots that develop critical thinking to AI tutors extending professors' reach beyond the classroom.

Guest bio

Francisco Aragonés is Chief Data Analytics Officer at IE University in Spain, where he leads AI implementation across all educational programmes. With a background spanning data analytics and educational technology, Francisco oversees the development of multiple AI artifacts designed for different pedagogical needs. Under his leadership, IE University has become a model for AI adoption in higher education, achieving measurable improvements in student outcomes whilst maintaining the human connection essential to learning.

Timestamps

00:00:00 Introduction to AI in education at IE University

00:02:30 CEO's decisive AI statement one month after ChatGPT

00:05:15 The Swiss Army knife approach to educational AI tools

00:08:45 Building Socratic dialogue chatbots for critical thinking

00:12:20 AI tutors extending professor availability

00:16:00 Measuring impact: engagement rates and grade improvements

00:19:30 Change management: bringing faculty on the journey

00:23:15 Addressing academic integrity and AI detection

00:27:00 Student feedback systems using rubrics

00:31:30 Agent hierarchies adapting to student queries

00:35:45 Making quality education globally accessible

00:39:20 Preparing students for AI-enhanced workplaces

00:43:00 Future vision for AI in education

00:46:30 Practical implementation advice for institutions

00:49:00 Closing thoughts on human-centred AI education

Resources and links

• Francisco Aragonés on LinkedIn – Chief Data Analytics Officer at IE University

• Tim Bond on LinkedIn – Podcast host and enterprise technology expert

• IE University – Leading institution for AI in education

• ChatGPT in Education Resources – OpenAI educational guidelines

• EU AI Act – Regulatory framework mentioned in discussion

• Socratic Method in Digital Learning – Educational methodology research

Want to teach your team to build their own AI agents that act like teammates, boosting productivity, quality, and job satisfaction? Get your FREE AI Acceleration Report (for listeners with teams of six or more), a quick team survey and consultation that maps priority workflows, time saved and ROI from an AI upskilling programme. Visit Cogniscale.com and enter promo code PODCAST.

Follow the podcast

• Apple Podcasts

• Spotify

• LinkedIn: Enterprise Thought Leadership

Contact: [email protected]

Sumeet Arora, Chief Product Officer at Teradata, joins Tim Bond to discuss why the shift to autonomous enterprises demands far more than simply deploying AI agents. With Teradata serving major banks, retailers, and global organisations for over four decades, Sumeet explains how the traditional enterprise stack of hundreds of workflow-centric applications is evolving into knowledge fabrics that power agent layers with outcome-oriented interfaces.

The conversation explores Teradata's three competitive differentiators: efficient processing engines built for always-on agent workloads, true on-premises and multi-cloud capability that brings AI to where data lives, and industry knowledge models developed across 10 sectors that make agents enterprise-grade rather than experimental. Sumeet shares real examples, including SECI Brazil's 200% increase in credit offers without changing delinquency rates, and explains why 80% of AI projects are not moving from demos to deployment.

Timestamps

• 00:01:05 - Announcing Agent Builder: Teradata's platform for autonomous AI agents.

• 00:03:13 - The evolution to autonomous enterprise: from connected to digital to autonomous.

• 00:04:19 - How the enterprise tech stack is changing from applications to knowledge fabrics.

• 00:08:02 - Why starting with clear, measurable outcomes is essential for AI ROI.

• 00:11:04 - Foundation models: bring your own LLM or use Teradata's small, medium, large options.

• 00:12:02 - Agent builder layer: open-source integration with MCP server.

• 00:13:24 - User experience evolution: from workflow-oriented to outcome-oriented.

• 00:16:25 - Teradata's three competitive differentiators explained.

• 00:17:08 - Why agents never sleep: the efficiency advantage of always-on workloads.

• 00:18:00 - On-premises and multi-cloud: bringing AI to where your data actually lives.

• 00:20:17 - Industry knowledge models: data models across 10 industries developed over decades.

• 00:24:48 - Real customer examples: from credit risk to fraud reduction to compliance.

• 00:28:55 - Organisation readiness: training every employee to build and use agents.

• 00:31:13 - The people side: augmentation versus replacement in the AI era.

• 00:34:15 - Going back to basics: AI requires clean code, knowledge and data.

• 00:36:00 - The architecture conversation enterprises are not having yet.

Guest bio

Sumeet Arora is Chief Product Officer at Teradata, where he leads product strategy for one of the world's leading enterprise data and analytics platforms. With extensive experience at Cisco, building secure, affordable internet infrastructure and at ThoughtSpot, democratising data analytics for business users, Sumeet focuses on changing industries for the better. At Teradata, he is driving the evolution from data platforms to knowledge platforms that enable the autonomous enterprise.

Resources and links

• Sumeet Arora on LinkedIn

• Tim Bond on LinkedIn

• Teradata Agent Builder information

This episode is brought to you by Cogniscale, which helps teams build and scale their AI workforce.

Want to teach your team to build their own AI agents that act like teammates, boosting productivity, quality, and job satisfaction? Get your FREE AI Acceleration Report (for listeners with teams of six or more), a quick team survey and consultation that maps priority workflows, time saved and ROI from an AI upskilling programme. Visit Cogniscale.com and enter promo code PODCAST.

If you enjoyed this episode, please follow Enterprise Thought Leadership on your preferred platform and rate the show. Have burning topics or questions you would like explored? Email the team at [email protected]

• Find out more about TechPros.io

• Upcoming events and roundtables

• Join the podcast community on LinkedIn

• Listen on Apple Podcasts

• Listen on Spotify

Sumeet Arora, Chief Product Officer at Teradata, joins Tim Bond to discuss why the shift to autonomous enterprises demands far more than simply deploying AI agents. With Teradata serving major banks, retailers, and global organisations for over four decades, Sumeet explains how the traditional enterprise stack of hundreds of workflow-centric applications is evolving into knowledge fabrics that power agent layers with outcome-oriented interfaces.

The conversation explores Teradata's three competitive differentiators: efficient processing engines built for always-on agent workloads, true on-premises and multi-cloud capability that brings AI to where data lives, and industry knowledge models developed across 10 sectors that make agents enterprise-grade rather than experimental. Sumeet shares real examples including SECI Brazil's 200% increase in credit offers without changing delinquency rates, and explains why 80% of AI projects are not moving from demos to deployment.

Timestamps

• 00:01:05 - Announcing Agent Builder: Teradata's platform for autonomous AI agents.

• 00:03:13 - The evolution to autonomous enterprise: from connected to digital to autonomous.

• 00:04:19 - How the enterprise tech stack is changing from applications to knowledge fabrics.

• 00:08:02 - Why starting with clear, measurable outcomes is essential for AI ROI.

• 00:11:04 - Foundation models: bring your own LLM or use Teradata's small, medium, large options.

• 00:12:02 - Agent builder layer: open-source integration with MCP server.

• 00:13:24 - User experience evolution: from workflow-oriented to outcome-oriented.

• 00:16:25 - Teradata's three competitive differentiators explained.

• 00:17:08 - Why agents never sleep: the efficiency advantage of always-on workloads.

• 00:18:00 - On-premises and multi-cloud: bringing AI to where your data actually lives.

• 00:20:17 - Industry knowledge models: data models across 10 industries developed over decades.

• 00:24:48 - Real customer examples: from credit risk to fraud reduction to compliance.

• 00:28:55 - Organisation readiness: training every employee to build and use agents.

• 00:31:13 - The people side: augmentation versus replacement in the AI era.

• 00:34:15 - Going back to basics: AI requires clean code, knowledge and data.

• 00:36:00 - The architecture conversation enterprises are not having yet.

Guest bio

Sumeet Arora is Chief Product Officer at Teradata, where he leads product strategy for one of the world's leading enterprise data and analytics platforms. With extensive experience at Cisco building secure, affordable internet infrastructure and at ThoughtSpot democratising data analytics for business users, Sumeet focuses on changing industries for the better. At Teradata, he is driving the evolution from data platforms to knowledge platforms that enable the autonomous enterprise.

Resources and links

• Sumeet Arora on LinkedIn

• Tim Bond on LinkedIn

• Teradata Agent Builder information

This episode is brought to you by Cogniscale, which helps teams build and scale their AI workforce.

Want to teach your team to build their own AI agents that act like teammates, boosting productivity, quality, and job satisfaction? Get your FREE AI Acceleration Report (for listeners with teams of six or more), a quick team survey and consultation that maps priority workflows, time saved and ROI from an AI upskilling programme. Visit Cogniscale.com and enter promo code PODCAST.

If you enjoyed this episode, please follow Enterprise Thought Leadership on your preferred platform and rate the show. Have burning topics or questions you would like explored? Email the team at [email protected]

• Find out more about TechPros.io

• Upcoming events and roundtables

• Join the podcast community on LinkedIn

• Listen on Apple Podcasts

• Listen on Spotify