Enterprise Thought Leadership

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As technology disruption accelerates, the Enterprise Thought Leadership Podcast shares insights from business and technology leaders at the forefront of enterprise transformation. Covering a range of industries, we interview C-level leaders of solution providers driving innovation across the enterprise landscape and executives navigating the people, process and technology changes to ensure their organisations and supply chains remain competitive and future-proof. Subscribe today and equip yourself with the knowledge and strategies to thrive in an era of constant change!

  1. 3D AGO

    Eps. 87 | Job loss or job reimagined? The fifth revolution is upon us.

    Tim Bond explores Mark Edwards' white paper on the cognitive age and the shift from an industrial mindset to a new era of human-machine collaboration. This conversation uncovers what Edwards calls the liminal hour moment, a threshold point in human history where we face two fundamentally different futures. The episode traces the evolution of technological revolutions from mechanisation through to artificial intelligence, examining why our education system has left us unprepared for cognitive work, and why the answer to technological change is amplification rather than automation. Through frameworks like lighthouse versus radar, zombie loops, and the symbiosis between human judgment and machine calculation, this discussion addresses real anxiety about the future of work whilst arguing that the future is something we shape, not something that happens to us. Timestamps 00:00:00 Introduction and the question that sparked this episode 00:01:00 Five workshop participants express anxiety about the future 00:02:00 The paradox: job data shows employment growing despite AI adoption 00:03:00 Jobs are bundles of tasks, tasks become redundant, not jobs 00:04:00 Introducing Mark Edwards' white paper, The Human Engine 00:05:00 The liminal hour: waking at 4 AM and seeing two futures 00:06:00 A threshold moment between two eras: industrial age to cognitive age 00:07:00 Drift and zombie loops: the cost of cognitive overload 00:08:00 Why we're trapped in cycles of activity without insight 00:09:00 Education for an industrial era, applied to a cognitive age 00:10:00 The biological reality of cognitive load and decision-making 00:11:00 The five technological revolutions and the pattern 00:12:00 The lighthouse versus radar analogy: shifting from focus to context 00:13:00 Automation versus amplification: the critical reframe 00:14:00 Convergence: the fusion of separate AI modalities 00:15:00 Concrete examples: doctors, city planners, and the mesh in action 00:16:00 Technology must adapt to humans, not vice versa 00:17:00 The human engine framework: cleaning the cognitive lens 00:18:00 Cognitive ergonomics and aircraft cockpit design principles 00:19:00 Clarity by design and human-first structures 00:20:00 Machines compute, humans imagine 00:21:00 Capability versus authority: what machines can and cannot decide 00:22:00 The Einstein rule: 55 minutes on the problem, five on the solution 00:23:00 Moral revolution and the choice between drift and design Guest bio Mark Edwards brings three decades of experience in software company mergers and acquisitions. As founder of Boss Equity (established 1999), he has worked with thousands of software companies across document management, workflow automation and enterprise solutions. His pattern-matching across hundreds of exits reveals why most software businesses fail to escape mediocrity. Mark combines his early creative background in photography with deep commercial expertise to help founders understand strategic positioning and market dynamics. Connect with Mark on LinkedIn. Resources and links mentioned Tim Bond on LinkedIn Mark Edwards on LinkedIn Access Mark Edwards' whitepaper – The Human Engine: Navigating the Fifth Revolution  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 podcasts@techpros.io 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/

    25 min

  2. FEB 25

    Eps.86 | From SDRs to AI agents Building marketing's agentic future with Marie Wilcox

    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 podcasts@techpros.io Find out more about 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/   Follow the Enterprise Thought Leadership podcast on Spotify and Apple Podcasts to never miss an episode. Rate and review the show on your preferred platform. Join the growing podcast community on LinkedIn to connect with other business leaders exploring AI, automation, and the future of work. Want to teach your team to build their own AI agents? Get your free AI Acceleration Report at cogniscale.com/ai-acceleration-report. This quick survey and consultation maps priority workflows, time saved, and ROI from an AI upskilling programme. Available for organisations with teams of six or more. Use promo code PODCAST when you visit.

    35 min

  3. FEB 19

    Eps. 85 | From people scared to people squared: Nikki Barua on how to compete in the AI era

    "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 podcasts@techpros.io 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/

    35 min

  4. FEB 13

    Eps. 84 | Philippe Ruttens on marketing's 30-year evolution and what AI means for the CMO

    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 Follow the podcast If you enjoyed this episode, please follow us and rate each episode: Apple Podcasts – https://podcasts.apple.com/za/podcast/enterprise-thought-leadership/id1727689721 Spotify – https://open.spotify.com/show/2NVPXPA0aaDcvHW2EtQcnb Have burning topics or questions for the podcast? Email podcasts@techpros.io Find out more at techpros.io Upcoming events and roundtables – https://techpros.io/virtual-experiences/ Join our podcast community – https://www.linkedin.com/company/enterprise-thought-leadership/ Transcript A full transcript of this episode is available on request.

    37 min

  5. JAN 22

    Eps.83 | AVEVA's Martin Jette on why radical collaboration is replacing the build-it-all approach in manufacturing software

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

    42 min

  6. 12/05/2025

    Eps.82 | Payal Nanjiani on why self-mastery matters more than ever in the age of AI

    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 podcasts@techpros.io 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/

    38 min

  7. 11/13/2025

    Eps.81 | Pioneering AI-first education: IE University's Francisco Aragonés on building the Swiss Army knife for intelligent learning

    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: tim@cogniscale.com

    45 min

  8. 10/28/2025

    Eps.80 | Agents never sleep: Teradata's Sumeet Arora on why the autonomous enterprise demands a new tech stack

    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 podcasts@techpros.io Find out more about TechPros.io Upcoming events and roundtables Join the podcast community on LinkedIn Listen on Apple Podcasts Listen on Spotify

    39 min
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As technology disruption accelerates, the Enterprise Thought Leadership Podcast shares insights from business and technology leaders at the forefront of enterprise transformation. Covering a range of industries, we interview C-level leaders of solution providers driving innovation across the enterprise landscape and executives navigating the people, process and technology changes to ensure their organisations and supply chains remain competitive and future-proof. Subscribe today and equip yourself with the knowledge and strategies to thrive in an era of constant change!

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