The Digital Transformation Playbook

Kieran Gilmurray

Kieran Gilmurray is a globally recognised authority on Artificial Intelligence, cloud, intelligent automation, data analytics, agentic AI, and digital transformation. He has authored three influential books and hundreds of articles that have shaped industry perspectives on digital transformation, data analytics, intelligent automation, agentic AI and artificial intelligence. 𝗪𝗵𝗮𝘁 does Kieran do❓When I'm not chairing international conferences, serving as a fractional CTO or Chief AI Officer, I’m delivering AI, leadership, and strategy masterclasses to governments and industry leaders.  My team and I help global businesses drive AI, agentic ai, digital transformation and innovation programs that deliver tangible business results.🏆 𝐀𝐰𝐚𝐫𝐝𝐬: 🔹Top 25 Thought Leader Generative AI 2025  🔹𝗧𝗼𝗽 𝟱𝟬 𝗧𝗵𝗼𝘂𝗴𝗵𝘁 𝗟𝗲𝗮𝗱𝗶𝗻𝗴 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗼𝗻 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝟮𝟬𝟮𝟱🔹Top 50 Global Thought Leaders and Influencers on Agentic AI 2025🔹Top 100 Thought Leader Agentic AI 2025 🔹Top 100 Thought Leader Legal AI 2025🔹Team of the Year at the UK IT Industry Awards🔹Top 50 Global Thought Leaders and Influencers on Generative AI 2024 🔹Top 50 Global Thought Leaders and Influencers on Manufacturing 2024🔹Best LinkedIn Influencers Artificial Intelligence and Marketing 2024🔹Seven-time LinkedIn Top Voice.🔹Top 14 people to follow in data in 2023.🔹World's Top 200 Business and Technology Innovators. 🔹Top 50 Intelligent Automation Influencers. 🔹Top 50 Brand Ambassadors. 🔹Global Intelligent Automation Award Winner.🔹Top 20 Data Pros you NEED to follow. 𝗖𝗼𝗻𝘁𝗮𝗰𝘁 my team and I to get business results, not excuses.☎️ https://calendly.com/kierangilmurray/30min ✉️ kieran@gilmurray.co.uk  🌍 www.KieranGilmurray.com📘 Kieran Gilmurray | LinkedIn

  1. Navigating the Future: Inside the Explosive Growth of Agentic AI

    13 HR AGO

    Navigating the Future: Inside the Explosive Growth of Agentic AI

    The AI agent revolution is here, transforming how businesses operate and compete in ways that were once confined to science fiction. From virtual assistants scheduling your meetings to sophisticated systems analyzing medical images with superhuman accuracy, these technologies are no longer experimental—they're driving real business value across industries. TL;DR: AI agents perceive environments, process information, and act to achieve specific goalsModern AI agents use machine learning to continuously refine responses and adapt strategiesThe global AI market is projected to grow from $214.6 billion in 2024 to $1,339.1 billion by 2030Our deep dive into the agentic AI ecosystem reveals a market exploding with potential, projected to grow from $214.6 billion in 2024 to over $1.3 trillion by 2030. This isn't just incremental growth; it represents a fundamental reimagining of how work gets done and value is created in the digital economy. The competitive landscape tells a fascinating story of innovation and strategic positioning. Tech giants like Google, Microsoft, and Amazon leverage their vast resources and ecosystems to dominate, while specialized players like IBM Watson focus on high-value enterprise applications. Meanwhile, companies like Pega Systems are differentiating through responsible AI governance—their Agent X platform tackles the industry-wide challenge of unreliable AI agents by embedding governance directly into workflows, making them the preferred choice for regulated sectors. Regional dynamics add another layer of complexity. North America maintains its innovation lead through strategic export controls on critical semiconductor technologies, while European firms balance regulatory rigor with technological advancement. In Asia, disruptive innovators like DeepSeq are challenging established players with localized, cost-effective solutions. The real-world impact is already profound. Healthcare institutions use AI to analyze medical images, accelerating diagnoses and reducing errors. Financial firms deploy autonomous agents to detect fraud and assess risk in real-time. Retailers use conversational AI to deliver personalized recommendations, boosting engagement and sales. Looking ahead, we see enhanced personalization, edge computing integration, and increased focus on explainable AI shaping the next wave of innovation. The organizations that will thrive are those investing now in robust data governance, continuous innovation, and ethical AI practices—creating solutions that are not just powerful, but transparent, accountable, and aligned with broader organizational values. Ready to leverage AI agents as catalysts for innovation and competitive advantage?  Subscribe to our podcast for regular insights on navigating the AI revolution. 📕 Want to learn more about agentic AI then read my new book on Agentic AI and the Future of Work https://tinyurl.com/MyBooksOnAmazonUK Support the show 𝗖𝗼𝗻𝘁𝗮𝗰𝘁 my team and I to get business results, not excuses. ☎️ https://calendly.com/kierangilmurray/results-not-excuses ✉️ kieran@gilmurray.co.uk 🌍 www.KieranGilmurray.com 📘 Kieran Gilmurray | LinkedIn 🦉 X / Twitter: https://twitter.com/KieranGilmurray 📽 YouTube: https://www.youtube.com/@KieranGilmurray 📕 Want to learn more about agentic AI then read my new book on Agentic AI and the Future of Work https://tinyurl.com/MyBooksOnAmazonUK

    44 min
  2. The Future is Now: How HR and L&D Professionals Can Master AI

    1 DAY AGO

    The Future is Now: How HR and L&D Professionals Can Master AI

    The rapid acceleration of AI adoption has created a turning point for HR and Learning & Development professionals. No longer can they afford to simply observe from the side lines – they must now actively lead their organizations through this technological revolution with confidence and strategic insight. TL;DR:  HR and L&D practitioners need to be viewed as strategic influencers who must guide AI adoption across businessesFear of AI stems from lack of knowledge – developing deeper understanding builds confidenceHuman and digital workforces will collaborate, requiring rethinking of organizational structuresChange management and stakeholder engagement are critical for successful AI implementationAI should augment human capabilities rather than replace them entirelyHR and L&D professionals must develop practical skills to lead AI transformationWhat makes this moment particularly challenging is the complexity surrounding AI implementation. HR leaders are suddenly expected to understand not just the technology itself, but also navigate the ethical considerations, governance frameworks, and change management strategies required for successful integration.  Without developing these capabilities, they risk losing their seat at the table when critical decisions about organizational transformation are being made. Throughout our conversation, we explore how fear often stems from lack of knowledge, and why developing practical AI skills is essential for HR professionals who want to maintain strategic influence.  We discuss the delicate balance between embracing automation while preserving the uniquely human aspects of work, and why transparent communication is crucial when implementing new technologies.  Rather than seeing AI as a threat to jobs, we position it as an opportunity to elevate HR work by automating administrative tasks while creating space for more complex, relationship-driven activities that machines cannot replicate. Exciting New HI for HR and L&D Professionals Course: Ready to move beyond theory and develop practical AI skills for your HR or L&D role? We're excited to announce our upcoming two-day workshop specifically designed for HR and L&D professionals who want to confidently lead AI implementation in their organizations.  Join us in November at the beautiful MCS Group offices in Belfast for hands-on learning that will transform how you approach AI strategy.  Check here details on how to register for this limited-capacity event - https://kierangilmurray.com/hrevent/ or chat https://calendly.com/kierangilmurray/hrldai-leadership-and-development Support the show 𝗖𝗼𝗻𝘁𝗮𝗰𝘁 my team and I to get business results, not excuses. ☎️ https://calendly.com/kierangilmurray/results-not-excuses ✉️ kieran@gilmurray.co.uk 🌍 www.KieranGilmurray.com 📘 Kieran Gilmurray | LinkedIn 🦉 X / Twitter: https://twitter.com/KieranGilmurray 📽 YouTube: https://www.youtube.com/@KieranGilmurray 📕 Want to learn more about agentic AI then read my new book on Agentic AI and the Future of Work https://tinyurl.com/MyBooksOnAmazonUK

    23 min
  3. The $3 Trillion Question: Can AI Match Human Experts?

    2 DAYS AGO

    The $3 Trillion Question: Can AI Match Human Experts?

    What happens when AI attempts the same complex work as human experts with 14 years of experience? The answer might reshape our understanding of the economic future. TL;DR: GDP Val tests AI on complex, multimodal tasks requiring handling of CAD designs, spreadsheets, and presentationsTasks are created from actual professional work products that take humans an average of 7 hours to completeClaude Opus performed best with 47.6% of its deliverables rated as good as or better than human expertsAI shows potential to make workflows 40% faster and 63% cheaper when paired with human oversight3% of AI failures were classified as "catastrophic," including incorrect medical diagnoses and suggestions of financial fraudSimple prompt improvements like asking models to self-check their work significantly reduced formatting errorsCurrent models still struggle with ambiguity and tasks requiring tacit knowledge or complex human interaction GDP Val represents a fundamental shift in how we evaluate artificial intelligence. Rather than abstract academic metrics, this new benchmark from OpenAI measures how well frontier AI models handle real-world economic tasks across nine major sectors worth $3 trillion annually.  The methodology is ruthlessly practical—AI models must complete complex assignments that typically take human experts seven hours, handling everything from CAD designs to financial spreadsheets while synthesizing information from up to 38 reference documents. The results are both promising and sobering. Claude Opus led the evaluation with 47.6% of its outputs rated equal to or better than work from professionals at organizations like Apple, Goldman Sachs, and Boeing. When integrated into realistic workflows with human oversight, these models demonstrated potential to make knowledge work 40% faster and 63% cheaper.  Yet failures remain significant—3% were classified as "catastrophic," including incorrect medical diagnoses and recommendations of financial fraud. Perhaps most valuable is GDP Val's illumination of where AI currently excels (document formatting, data analysis) and where it falters (following complex instructions, handling ambiguity).  This economic lens offers businesses and policymakers unprecedented clarity about AI's near-term impact on knowledge work, while highlighting that the highest-value human skills—tacit knowledge, real-time collaboration, and complex communication—remain beyond current AI capabilities.  How quickly will that gap close? That's the trillion-dollar question worth pondering. Listen into a audio version of this report created using Google Notebook LM for your listening pleasure. Link to research: GDPval.pdf  Support the show 𝗖𝗼𝗻𝘁𝗮𝗰𝘁 my team and I to get business results, not excuses. ☎️ https://calendly.com/kierangilmurray/results-not-excuses ✉️ kieran@gilmurray.co.uk 🌍 www.KieranGilmurray.com 📘 Kieran Gilmurray | LinkedIn 🦉 X / Twitter: https://twitter.com/KieranGilmurray 📽 YouTube: https://www.youtube.com/@KieranGilmurray 📕 Want to learn more about agentic AI then read my new book on Agentic AI and the Future of Work https://tinyurl.com/MyBooksOnAmazonUK

    15 min
  4. AI Agents: Tomorrow's Business Revolution

    25 SEPT

    AI Agents: Tomorrow's Business Revolution

    The business world stands at the precipice of an AI revolution. This episode explores how AI agents - software programs that understand, reason, act, and learn autonomously - are transforming industries and creating unprecedented opportunities. TLDR:  • AI agents like AutoGPT demonstrate how AI can break tasks into steps and work independently• Healthcare applications include AI systems from Hippocratic AI that handle routine tasks while freeing human doctors for complex cases• Retail applications feature AI personal shoppers that consider individual preferences, dietary restrictions, and even local weather• Financial AI systems like Wealthfront and Betterment manage investments and are evolving toward real-time market analysis• Creative AI collaborates with humans as demonstrated by the band Yacht's AI-assisted album "Chain Tripping" Far beyond the narrow AI systems of yesterday, today's AI agents demonstrate remarkable adaptability and collaborative potential. When multiple agents work together in compound-agentic systems, they tackle challenges no single AI could manage alone - creating what we might call a symphony of intelligences. Across healthcare, retail, finance, and creative industries, these technologies are already making their mark. Hippocratic AI assists healthcare professionals with routine tasks, allowing doctors to focus on complex cases. Amazon's Alexa evolves toward managing entire processes like dinner party planning. Financial platforms like Wealthfront optimize investments around the clock. Even artists are finding AI to be valuable collaborators, as demonstrated by the band Yacht's AI-assisted album "Chain Tripping." The business opportunities are extraordinary—from hyper-personalized services to intelligent process automation. In Singapore, AI optimizes traffic flow in real-time, reducing travel times by 15% and emissions by 20%. Drug discovery companies like Insilico Medicine have used AI to identify promising compounds in weeks rather than years. These capabilities are enabling entirely new business models, from AI-as-a-Service platforms to outcome-based pricing that aligns incentives between providers and customers. Yet challenges remain. Organizations must navigate ethical concerns about bias, regulatory questions about liability, and potential economic disruption as jobs evolve. As we move forward, success will belong to those who can adapt, innovate, and collaborate - not just with humans, but with the intelligent agents becoming our partners in progress. Ready to explore how AI agents might transform your industry? Subscribe now and join the conversation about the future of business in the age of agentic AI. Support the show 𝗖𝗼𝗻𝘁𝗮𝗰𝘁 my team and I to get business results, not excuses. ☎️ https://calendly.com/kierangilmurray/results-not-excuses ✉️ kieran@gilmurray.co.uk 🌍 www.KieranGilmurray.com 📘 Kieran Gilmurray | LinkedIn 🦉 X / Twitter: https://twitter.com/KieranGilmurray 📽 YouTube: https://www.youtube.com/@KieranGilmurray 📕 Want to learn more about agentic AI then read my new book on Agentic AI and the Future of Work https://tinyurl.com/MyBooksOnAmazonUK

    30 min

  5. 24 SEPT

    Gen Z, AI, and the Mindset Shift Every Leader Needs

    You know what really frustrates me? When I hear these endless statistics about young people being the most negatively impacted at work. Because if we keep repeating that story, we’ll start believing it. And then suddenly, no one hires them. Let me give you an example. My son’s 18. He works with me now. I handed him a task I thought would take days. A few hours later, he came back and said, “Done.” I was shocked. But here’s the kicker. He said, “I used Make.com, I pulled in Lovable, I set up Replit, threw in Zapier, wrote a few prompts — now the boring part is automated. I’m moving on to the work that actually adds value.” And that’s the mindset shift we need. This is why reverse mentorship is on the rise. Older leaders are learning from younger people. Because this generation? They’re already fluent in GPT, Claude, Replit, Make.com, N8N — tools that many companies don’t even allow yet. The companies that invest in this young talent — instead of believing the doom narrative — will see the biggest returns. With AI as the amplifier, this generation isn’t a risk. They’re our greatest asset. Support the show 𝗖𝗼𝗻𝘁𝗮𝗰𝘁 my team and I to get business results, not excuses. ☎️ https://calendly.com/kierangilmurray/results-not-excuses ✉️ kieran@gilmurray.co.uk 🌍 www.KieranGilmurray.com 📘 Kieran Gilmurray | LinkedIn 🦉 X / Twitter: https://twitter.com/KieranGilmurray 📽 YouTube: https://www.youtube.com/@KieranGilmurray 📕 Want to learn more about agentic AI then read my new book on Agentic AI and the Future of Work https://tinyurl.com/MyBooksOnAmazonUK

    2 min
  6. The Death of Organizational Charts in the AI Age

    23 SEPT

    The Death of Organizational Charts in the AI Age

    Traditional organizational charts are strangling AI adoption. Ruslan Tovbulatov, CMO of Gloat, makes a compelling case for why companies must radically rethink their approach to work structures if they want their AI strategies to succeed. TLDR: The org chart was built for the industrial revolution's command-and-control management styleAI implementation requires looking beyond job titles to focus on tasks and workflowsRetitling roles (e.g., content manager to content orchestration) creates the right mindset shiftAI removes limiting beliefs about capabilities – anyone can design, write, or code with AI assistanceInternal talent marketplaces allow work to be organized around outcomes rather than job descriptionsThe fundamental problem? We're attempting to force cutting-edge AI capabilities into organizational models designed during the railroad era. These 19th-century hierarchies, with their rigid job titles and siloed departments, simply can't accommodate the fluid, task-oriented nature of effective AI implementation. When companies focus on what job titles they're replacing rather than what tasks need technological support, AI initiatives inevitably falter. Ruslan advocates for a shift from traditional management to work orchestration. This means moving beyond static job descriptions to dynamic roles where employees coordinate between human capabilities and AI tools. Content managers become content orchestrators. Designers become design orchestrators. These aren't mere semantic changes but fundamental mindset shifts that empower employees to leverage AI as an amplifier of their talents. Perhaps most excitingly, this approach democratizes previously specialized skills. No longer must someone say "I'm not a designer" or "I can't code." With AI assistance, these capabilities become accessible to anyone with the right orchestration mindset. This creates unprecedented opportunities for employee growth and organizational agility. Companies like Standard Chartered and Schneider Electric are already demonstrating the power of this approach, using internal talent marketplaces to assemble teams based on skills and interests rather than job titles. Projects that once took years now complete in weeks. And as AI agents become increasingly capable teammates, even smaller organizations can benefit from this work orchestration approach. Ready to reimagine your organization for the AI era? Start by questioning your assumptions about hierarchy, empowering your teams to orchestrate rather than just execute, and focusing relentlessly on work outcomes rather than organizational structure. Your AI strategy and your company's future may depend on it. Read -  The Death of the Org Chart: Why AI Will Fail Without This One Change  Support the show 𝗖𝗼𝗻𝘁𝗮𝗰𝘁 my team and I to get business results, not excuses. ☎️ https://calendly.com/kierangilmurray/results-not-excuses ✉️ kieran@gilmurray.co.uk 🌍 www.KieranGilmurray.com 📘 Kieran Gilmurray | LinkedIn 🦉 X / Twitter: https://twitter.com/KieranGilmurray 📽 YouTube: https://www.youtube.com/@KieranGilmurray 📕 Want to learn more about agentic AI then read my new book on Agentic AI and the Future of Work https://tinyurl.com/MyBooksOnAmazonUK

    34 min
  7. AI Agents: Build, Deploy, Scale

    18 SEPT

    AI Agents: Build, Deploy, Scale

    The landscape of artificial intelligence is rapidly evolving from systems that handle specific tasks to agentic AI capable of making decisions, acting on complex objectives, and continuously learning. This shift presents extraordinary opportunities for organisations seeking to enhance efficiency and drive innovation – yet a striking gap exists between aspiration and execution. TLDR: Establishing robust governance frameworks with strategic oversight, operational management, and technical implementation layersCreating clear accountability systems with executive sponsors, program managers, technical leads, and ethics committeesImplementing transparent documentation practices and audit trails to build trustDeveloping ethical AI guidelines that ensure fairness, non-discrimination, and privacy protectionAligning AI transformation with business goals through comprehensive strategic planningReimagining workflows rather than simply adding AI to existing processesUpskilling employees and creating new roles like AI operations specialists and ethics officersWhile 97% of organisations feel increased urgency to adopt AI, only 14% are fully prepared according to the Cisco AI Readiness Index. This disconnect stems from uncertainties around governance, organisational readiness, and scaling complexities. Successful implementation requires a comprehensive framework addressing these challenges head-on. At the foundation lies robust governance with clear accountability systems. Executive sponsors align AI with business goals, program managers oversee implementation, technical leads refine algorithms, and ethics committees guard against bias. Consider UPS's Orion system, which optimised delivery routes while supporting sustainability objectives, or Tesla's continuous Autopilot updates using real-time data from millions of vehicles. Transformation extends beyond technology to people and processes. DHL reimagined warehouse operations around AI capabilities, increasing fulfillment rates by 180%. The NHS overcame clinician skepticism when deploying AI for cancer detection through transparent communication and celebrating quick wins. New roles are emerging – from AI operations specialists to ethics officers – reflecting the growing need for specialised expertise. Scaling requires strategic alignment with measurable outcomes, robust infrastructure, continuous monitoring, and leadership commitment. Amazon's fulfillment centres demonstrate how scalable infrastructure handles global operations, while General Electric's struggles with its Predix platform serve as a cautionary tale about insufficient alignment with business goals. Ready to transform your organisation with agentic AI? Start with governance, reimagine processes, prepare your people, and build scalable systems. The future belongs to those who act decisively and responsibly today. Support the show 𝗖𝗼𝗻𝘁𝗮𝗰𝘁 my team and I to get business results, not excuses. ☎️ https://calendly.com/kierangilmurray/results-not-excuses ✉️ kieran@gilmurray.co.uk 🌍 www.KieranGilmurray.com 📘 Kieran Gilmurray | LinkedIn 🦉 X / Twitter: https://twitter.com/KieranGilmurray 📽 YouTube: https://www.youtube.com/@KieranGilmurray 📕 Want to learn more about agentic AI then read my new book on Agentic AI and the Future of Work https://tinyurl.com/MyBooksOnAmazonUK

    26 min
  8. AI Agents: The New Workplace Partners

    17 SEPT

    AI Agents: The New Workplace Partners

    Artificial intelligence has undergone a remarkable evolution, but agentic AI represents something truly transformative – autonomous systems that make decisions and take actions with minimal human oversight. This technology goes far beyond traditional automation to deliver something more akin to a collaborative partner than a simple tool. TLDR: Agentic AI operates autonomously, making decisions without direct human control while adapting to new information in real-timeTraditional RPA follows pre-programmed rules while agentic AI makes independent decisions based on goalsSome agentic systems incorporate "humans in the loop" for critical decisions, while others function completely autonomouslyApplications span industries including healthcare (diagnosis assistance), finance (fraud detection), HR (recruitment), and customer support (advanced chatbots)What makes agentic AI revolutionary is its ability to adapt to unforeseen circumstances while pursuing defined goals.  Unlike Robotic Process Automation (RPA) which follows strict rules, or generative AI which creates content, agentic systems actively engage with their environment, anticipate needs, and independently navigate complex scenarios.  The distinction becomes clear when examining practical applications: an AI-driven investment advisor autonomously adjusting portfolios based on market predictions, or an underwater exploration vehicle making real-time navigation decisions in extreme environments where human intervention isn't possible. The business implications are profound across sectors. For example, Healthcare organizations implement AI that analyzes patient data while keeping doctors in the decision loop. Financial institutions deploy systems that continuously monitor for fraud patterns. HR departments leverage AI agents to transform recruitment, while customer support teams employ advanced conversational bots that learn from every interaction. Companies including Oracle, Workday, and Salesforce are already deploying these capabilities to drive competitive advantage. However, successful implementation requires more than technology adoption – it demands fundamentally rethinking business processes and addressing important ethical considerations around data privacy, bias, and accountability.  For organizations willing to embrace this transformation thoughtfully, agentic AI offers unprecedented opportunities to enhance human capabilities, drive efficiency, and lead innovation in a rapidly evolving landscape. How will your organization harness this powerful new technology? If you enjoyed this chapter then why not buy the book on Amazon or the audio book on Audible.com? Support the show 𝗖𝗼𝗻𝘁𝗮𝗰𝘁 my team and I to get business results, not excuses. ☎️ https://calendly.com/kierangilmurray/results-not-excuses ✉️ kieran@gilmurray.co.uk 🌍 www.KieranGilmurray.com 📘 Kieran Gilmurray | LinkedIn 🦉 X / Twitter: https://twitter.com/KieranGilmurray 📽 YouTube: https://www.youtube.com/@KieranGilmurray 📕 Want to learn more about agentic AI then read my new book on Agentic AI and the Future of Work https://tinyurl.com/MyBooksOnAmazonUK

    16 min
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About

Kieran Gilmurray is a globally recognised authority on Artificial Intelligence, cloud, intelligent automation, data analytics, agentic AI, and digital transformation. He has authored three influential books and hundreds of articles that have shaped industry perspectives on digital transformation, data analytics, intelligent automation, agentic AI and artificial intelligence. 𝗪𝗵𝗮𝘁 does Kieran do❓When I'm not chairing international conferences, serving as a fractional CTO or Chief AI Officer, I’m delivering AI, leadership, and strategy masterclasses to governments and industry leaders.  My team and I help global businesses drive AI, agentic ai, digital transformation and innovation programs that deliver tangible business results.🏆 𝐀𝐰𝐚𝐫𝐝𝐬: 🔹Top 25 Thought Leader Generative AI 2025  🔹𝗧𝗼𝗽 𝟱𝟬 𝗧𝗵𝗼𝘂𝗴𝗵𝘁 𝗟𝗲𝗮𝗱𝗶𝗻𝗴 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗼𝗻 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝟮𝟬𝟮𝟱🔹Top 50 Global Thought Leaders and Influencers on Agentic AI 2025🔹Top 100 Thought Leader Agentic AI 2025 🔹Top 100 Thought Leader Legal AI 2025🔹Team of the Year at the UK IT Industry Awards🔹Top 50 Global Thought Leaders and Influencers on Generative AI 2024 🔹Top 50 Global Thought Leaders and Influencers on Manufacturing 2024🔹Best LinkedIn Influencers Artificial Intelligence and Marketing 2024🔹Seven-time LinkedIn Top Voice.🔹Top 14 people to follow in data in 2023.🔹World's Top 200 Business and Technology Innovators. 🔹Top 50 Intelligent Automation Influencers. 🔹Top 50 Brand Ambassadors. 🔹Global Intelligent Automation Award Winner.🔹Top 20 Data Pros you NEED to follow. 𝗖𝗼𝗻𝘁𝗮𝗰𝘁 my team and I to get business results, not excuses.☎️ https://calendly.com/kierangilmurray/30min ✉️ kieran@gilmurray.co.uk  🌍 www.KieranGilmurray.com📘 Kieran Gilmurray | LinkedIn

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