Silicon vs Carbon: Why Your Next Colleague Might Be an Algorithm

The Digital Transformation Playbook

Player FM - Internet Radio Done Right

הוסף לפני two שנים

תוכן מסופק על ידי Kieran Gilmurray. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Kieran Gilmurray או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.

Squid Game: The Official Podcast

1
Keys and Knives - S3 Ep 1 26:28

לפני 15 ימים26:28

הפעל מאוחר יותר

רשימות

לייק

אהבתי

26:28

Squid Game is back—and this time, the knives are out. In the thrilling Season 3 premiere, Player 456 is spiraling and a brutal round of hide-and-seek forces players to kill or be killed. Hosts Phil Yu and Kiera Please break down Gi-hun’s descent into vengeance, Guard 011’s daring betrayal of the Game, and the shocking moment players are forced to choose between murdering their friends… or dying. Then, Carlos Juico and Gavin Ruta from the Jumpers Jump podcast join us to unpack their wild theories for the season. Plus, Phil and Kiera face off in a high-stakes round of “Hot Sweet Potato.” SPOILER ALERT! Make sure you watch Squid Game Season 3 Episode 1 before listening on. Play one last time. IG - @SquidGameNetflix X (f.k.a. Twitter) - @SquidGame Check out more from Phil Yu @angryasianman , Kiera Please @kieraplease and the Jumpers Jump podcast Listen to more from Netflix Podcasts . Squid Game: The Official Podcast is produced by Netflix and The Mash-Up Americans.…

לפני שנה 33:38

MP3•בית הפרקים

The technological revolution is here, and it's powered by artificial intelligence. In this riveting conversation with AI expert Kieran Gilmourie, we explore the urgent need for businesses to embrace AI technologies before competitors leave them behind.

TLDR:

AI is being rapidly adopted across all business sectors, company sizes, and government departments worldwide
European companies need strong AI policies to compete globally and maintain knowledge economy advantages
When using public AI models like ChatGPT, protect sensitive data by turning off training features and avoiding sharing confidential information
No profession is entirely immune to AI disruption - from therapy to art, law to healthcare
Technology should handle automatable tasks, freeing humans to focus on areas where they uniquely add value
Continuous learning and adaptability are essential skills for thriving in an AI-powered workplace
Rather than diminishing human connection, AI can enhance it by removing mundane tasks and expanding creative possibilities

"For the love of goodness, can every Irish business please grasp this as quick as they can?" Kieran urges, highlighting that companies across every sector and level are rapidly investing in AI capabilities. This isn't a wait-and-see scenario – organisations implementing AI are experiencing transformative improvements in productivity, creativity and competitive positioning.
We take a global perspective, examining how different regions approach AI adoption and regulation. While the US leads in investment and China follows closely, smaller nations like Saudi Arabia are making remarkable strides by integrating AI across government services and business operations. Europe's regulatory approach aims to balance innovation with necessary guardrails – what Kieran describes as maintaining "infinite pace and infinite patience" simultaneously.
The conversation turns practical with essential tips for using public AI models safely. From turning off training features to exercising discipline with sensitive information, Kieran provides actionable guidance for protecting intellectual property while still leveraging powerful tools like ChatGPT. He explains why effective prompting techniques dramatically improve AI outputs, comparing these systems to brilliant interns who need clear direction to deliver their best work.
Perhaps most thought-provoking is our exploration of AI's impact on traditional roles. Kieran challenges the notion that certain professions are immune to disruption, suggesting that continuous adaptation is the only sustainable strategy. "Concentrate on the bits that are uniquely you," he advises, urging listeners to embrace lifelong learning while allowing technology to handle automatable tasks.
Far from diminishing human creativity or connection, Kieran believes AI enhances our humanity by removing the mundane: "Let the technology take the robot out of us so that we can be the most human we have been in the last 50 or 70 years."
Ready to transform how your organisation leverages AI? Subscribe today and join the conversation about leadership in the age of artificial intelligence.

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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

פרקים

1. AI's Impact on Business Today (00:00:00)

2. Global AI Investment Race (00:03:36)

3. Privacy When Using ChatGPT (00:08:24)

4. Effective Prompting Techniques (00:12:30)

5. Will AI Replace Your Job? (00:18:55)

6. AI and Human Connection (00:28:49)

126 פרקים

#Tech #pKieran Gilmurray #Artificial Intelligence #Generative AI #Data Analytics #Intelligent Automation #Emerging Technologies #Technology #Innovation #Robotic Process Automation #Ai Content #Cloud Computing #Digital Transformation #Business

Silicon vs Carbon: Why Your Next Colleague Might Be an Algorithm

The Digital Transformation Playbook

published לפני שנה

שתפו

MP3•בית הפרקים

TLDR:

AI is being rapidly adopted across all business sectors, company sizes, and government departments worldwide
European companies need strong AI policies to compete globally and maintain knowledge economy advantages
When using public AI models like ChatGPT, protect sensitive data by turning off training features and avoiding sharing confidential information
No profession is entirely immune to AI disruption - from therapy to art, law to healthcare
Technology should handle automatable tasks, freeing humans to focus on areas where they uniquely add value
Continuous learning and adaptability are essential skills for thriving in an AI-powered workplace
Rather than diminishing human connection, AI can enhance it by removing mundane tasks and expanding creative possibilities

Support the show

פרקים

1. AI's Impact on Business Today (00:00:00)

2. Global AI Investment Race (00:03:36)

3. Privacy When Using ChatGPT (00:08:24)

4. Effective Prompting Techniques (00:12:30)

5. Will AI Replace Your Job? (00:18:55)

6. AI and Human Connection (00:28:49)

126 פרקים

כל הפרקים

The Digital Transformation Playbook

1
Who's Winning the Global AI Race? 25:56

לפני 3 ימים25:56

25:56

Generative AI has transformed from an academic curiosity to a worldwide phenomenon at breath-taking speed. This paradigm shift presents extraordinary opportunities alongside profound challenges that demand careful navigation. TLDR: Fresh analysis from the EU Science Hub's 2025 Generative AI Outlook Report China leads in AI activity volume, followed by the US, with EU in third place at 7% of global AI players One US supercomputer potentially outperforms all EU top supercomputers combined EU regulation focuses on a risk-based approach through the AI Act, DSA, and GDPR Technical challenges include benchmark limitations and new cybersecurity threats Information integrity at risk from AI-generated misinformation and disinformation Jobs shifting rather than disappearing, requiring new skills to work alongside AI Digital skills gap growing as AI literacy becomes increasingly critical Diving deep into the EU Science Hub's comprehensive 2025 Generative AI Outlook Report, we explore the rapidly evolving global AI landscape where China leads in sheer volume of activity, followed by the US, with Europe holding 7% of global AI players. The competitive dynamics reveal stark disparities - particularly in computing power, where a single American supercomputer might outperform all of Europe's top machines combined. The data feeding these systems raises equal concern. We examine how bias in training data gets absorbed and amplified by models, connecting to crucial debates between open-source and proprietary approaches. Europe's regulatory framework stands as a potential model, with the AI Act employing a risk-based system alongside the Digital Services Act and GDPR to create guardrails for responsible development. Looking beyond technical specifications, we explore GenAI's profound societal impacts. From information integrity challenges and threats to digital commons to sector-specific transformations across healthcare, education, cybersecurity, and public services. The economic implications prove particularly nuanced - rather than simple job displacement, we're witnessing fundamental shifts in required skills and work patterns. As these systems grow more sophisticated, blurring lines between tools and collaborators, we face increasingly complex questions: How do we ensure technology development aligns with human values? Can we harness enormous potential while effectively managing risks? What skills will tomorrow's workforce need? Join us as we navigate the fascinating, sometimes frightening frontier of our AI-augmented future. 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…

The Digital Transformation Playbook

1
The Next Big Thing After AI Is Here! 28:04

לפני 10 ימים28:04

28:04

The technological world stands at a fascinating inflection point. While generative AI dominates headlines and boardroom discussions, quantum computing quietly advances in laboratories worldwide, promising computational capabilities that will transform how we solve our most complex problems. TLDR: Quantum computers use qubits instead of traditional bits, allowing them to process multiple states simultaneously through superposition Entanglement links qubits together, creating computational advantages over classical computers Financial services, supply chain, and healthcare sectors stand to benefit immediately from quantum-AI integration Current limitations include qubit fragility, temperature requirements (colder than space), and scalability challenges Major companies like IBM have invested approximately $150 billion in quantum research Business leaders should begin preparing now through leadership buy-in, finding technology partners, and conducting small pilot programs In this eye-opening conversation, transformation leader Justin explains how quantum computing fundamentally differs from classical computing through the phenomena of superposition and entanglement. Rather than processing information as binary bits (1s and 0s), quantum computers use qubits that can represent multiple states simultaneously - essentially exploring all possible solutions to a problem at once. This quantum advantage turns what might take a classical computer millennia to calculate into problems solvable in seconds or minutes. The business implications are profound. Financial services companies can optimize investment portfolios by running countless market scenarios simultaneously. Supply chain managers can model global disruptions—from shipping delays to tariff changes and identify optimal operational strategies. Healthcare researchers can simulate molecular interactions at the atomic level, potentially revolutionizing drug development and personalized medicine. For leaders seeking competitive advantage, quantum computing offers unprecedented analytical power. Yet significant challenges remain. Qubits require temperatures colder than outer space to function properly. Current quantum systems operate with relatively few qubits (between 5-150), whereas transformative applications demand many more. Perhaps most concerning are the security implications - quantum computers will eventually break current encryption standards, leading to what experts call "harvest now, decrypt later" attacks where bad actors collect encrypted data today, waiting for quantum capabilities to unlock it tomorrow. Despite these hurdles business leaders should begin preparing now by securing leadership buy-in, finding technology partners, conducting readiness assessments, and planning pilot programs. Are you ready for the quantum revolution? The companies that understand and harness this technology first will gain extraordinary competitive advantages in an increasingly complex business landscape. Find more about Justin: https://www.linkedin.com/in/meetjustinlewis/ https://www.linkedin.com/company/quantumrhodes https://quantumrhodes.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…

The Digital Transformation Playbook

1
Robot Colleagues Don't Take Coffee Breaks 33:12

לפני 16 ימים33:12

33:12

The digital revolution isn't just changing how we work—it's fundamentally reshaping workplace safety and health in ways both promising and concerning. This deep dive explores the complex duality of workplace digitalization: the unprecedented potential to enhance worker protection alongside the emergence of entirely new risks. Discover how advanced robots are removing humans from hazardous environments like deep mining and disaster recovery, while exoskeletons reduce physical strain by over 50% in demanding jobs. Learn about smart monitoring systems that enable real-time hazard detection and predictive risk assessment—shifting safety management from reactive to anticipatory. But these benefits come with significant challenges. Algorithmic management systems reduce worker autonomy and increase surveillance stress. Remote work arrangements introduce overlooked ergonomic and psychosocial risks. Extended reality training, while powerful, brings concerns from eye strain to "cyber sickness" affecting up to 80% of users. Perhaps most sobering is the revelation about the hidden workers powering our digital world. Content moderators review hundreds of traumatic posts daily, developing PTSD and secondary trauma. Data annotators perform repetitive tasks under strict surveillance. Miners extract essential minerals for our devices in dangerous conditions with minimal protections. As regulatory frameworks struggle to keep pace with these rapid changes, this episode makes a compelling case for human-centered technology development. Worker consultation, comprehensive training, and maintaining human expertise remain essential as digital tools reshape our workplaces. The critical question remains: how do we ensure that the pace of worker protection keeps up with technological innovation? And what role can each of us play in our own work environments? Join us for this fascinating exploration of the human element in our increasingly digital workplaces. 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…

The Digital Transformation Playbook

1
Human and Machine: How the Air Force Is Navigating the AI Era 27:41

לפני 17 ימים27:41

27:41

What happens when artificial intelligence meets national security? The United States Air Force is navigating this crucial intersection with a comprehensive strategy outlined in their Air Force Doctrine Note 25-1. This document provides a roadmap for harnessing AI's tremendous potential while acknowledging its inherent limitations and risks. TLDR: AI represents the latest chapter in warfare's technological evolution, following WWII computing advances and precision capabilities demonstrated in Operation Desert Storm The Air Force distinguishes between narrow AI (specialized tools), artificial general intelligence (which doesn't currently exist), and expert systems that complement human expertise Human-machine teaming places humans in various oversight roles: in-the-loop (approving machine recommendations), on-the-loop (allowing machine action unless vetoed), or up-the-loop (machine decides independently) At its core, the Air Force approach centers on human-machine teaming rather than replacement. AI serves as an amplifier for human capabilities, combining machine strengths (rapid data processing, pattern recognition) with uniquely human qualities (judgment, intuition, ethical reasoning). This partnership manifests across all core functions – from enhancing early warning systems and targeting in air superiority missions to optimizing logistics and maintenance for global mobility operations. The strategy makes crucial distinctions between different AI applications. It differentiates narrow AI (specialized tools) from artificial general intelligence (which doesn't currently exist), and carefully delineates human oversight roles in various scenarios. Perhaps most importantly, it recognizes that while AI excels at complicated problems with consistent patterns (like logistics optimization), it struggles with complex "wicked problems" that require deep human understanding of context and consequences. Building this AI-enabled force isn't simply about acquiring technology. It demands creating an AI-fluent workforce, establishing robust data management practices, securing sufficient computing power, and recruiting diverse talent across technical and ethical domains. All while adhering to strict ethical principles: responsible, equitable, traceable, reliable, and governable. The document acknowledges a profound tension: the United States commits to ethical AI development while potential adversaries like China and Russia aggressively pursue military AI applications without similar constraints. This raises fundamental questions about balancing technological advantage with core values – questions that will shape not just military strategy but our broader relationship with increasingly autonomous systems. 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…

The Digital Transformation Playbook

1
How AI Can Transform Learning for Students with Disabilities 24:48

לפני 24 ימים24:48

24:48

Fear often dominates the conversation around artificial intelligence in education, but what if AI could actually bridge gaps we've struggled with for decades? Professor David Brown, a pioneering researcher in AI accessibility at Nottingham Trent University, offers a refreshing perspective that challenges mainstream anxiety. TLDR: AI for accessibility means using technology ethically with a human-centric approach that puts students, parents, carers, and teachers at the centre Professor Brown's team uses AI to monitor students' emotional states during learning by analyzing facial expressions, eye gaze, and body language A digital divide exists for marginalized communities, requiring prioritization of equity of access through good internet and appropriate devices Young people have already embraced AI; policymakers and educators risk being left behind if they don't adopt it ethically AI should augment teaching practice rather than replace teachers, handling routine tasks to free up time for creative education AI should be inclusive and explainable, making life better for everyone. This will only happen if we intentionally design it to be so, putting vulnerable communities at the center of development processes. Professor David Brown reveals how AI can positively transform education for students with disabilities when developed ethically and inclusively, challenging the fear narrative often portrayed in media. When most people think about AI, they picture complex algorithms making incomprehensible decisions. Brown reframes this narrative by showcasing how thoughtfully designed AI systems can transform educational experiences for students with learning disabilities, autism, and other challenges. His ground breaking work includes developing systems that monitor emotional states during learning—detecting when students are engaged, bored, or frustrated—and automatically adjusting educational content to maintain optimal learning flow. "Without engagement for these students, there will be no deep learning or meaningful outcome," Brown explains, pinpointing why this technology matters so profoundly. The conversation explores the critical concept of explainable AI - the principle that while algorithms don't need to make the same choices humans would, people should be able to understand how those decisions are reached. This transparency builds essential trust, particularly when working with vulnerable populations. Brown's human-centric approach prioritizes inclusive design, placing students with disabilities and their support networks at the center of development processes rather than as afterthoughts. Perhaps most compelling is Brown's discussion of the digital divide affecting marginalized communities. Rather than developing expensive specialist equipment, his team focuses on creating accessible applications for mainstream devices, training their algorithms on appropriate data that represents the communities they serve. From social robotics that engage students with profound learning disabilities to VR rehabilitation systems that provide AI-guided therapy, the potential applications are transformative. Connect with David here . 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…

The Digital Transformation Playbook

1
Securing the Autonomous: Red Teaming for Agentic AI Systems 23:21

לפני 25 ימים23:21

23:21

The evolution of artificial intelligence has reached a pivotal moment where AI systems are no longer just responding to our prompts - they're acting with autonomy. This shift from reactive to agentic AI introduces powerful capabilities but also creates entirely new security challenges that traditional testing methods simply cannot address. TLDR: The core difference between standard generative AI (reactive, single-turn interactions) and agentic AI (autonomous planning, reasoning, and action) New security challenges including emergent behaviour, unstructured interactions, and interpretability problems The expanded attack surface spanning agent control systems, knowledge bases, and external system connections Twelve specific threat categories for red teaming agentic AI systems We dive deep into what makes agentic AI fundamentally different: while generative AI operates on a single request-response basis, agents can plan steps, reason through problems, and take independent actions across digital (and potentially physical) environments without constant human supervision. This autonomy creates complex security risks requiring specialized assessment approaches. Drawing from the comprehensive framework developed by the Cloud Security Alliance and OWASP AI Exchange, we examine twelve distinct threat categories unique to autonomous AI systems. From agent authorization hijacking to memory manipulation, hallucination exploitation, and multi-agent vulnerabilities - each category represents novel attack vectors requiring specialized testing methods. We explore practical examples of how red teams can probe these systems, including testing for emergent behaviors, context amnesia, orchestrator state poisoning, and economic denial of service attacks. The security landscape is evolving rapidly, with fascinating developments like autonomous red teaming agents - AI systems specifically designed to probe and attack other AI systems. As both defensive and offensive capabilities increasingly leverage artificial intelligence, the traditional cat-and-mouse game between attackers and defenders will accelerate dramatically. For organizations deploying or developing agentic AI, understanding these nuances represents the critical first step toward building secure, trustworthy systems ready for this new era. Are you prepared for the security challenges of truly autonomous AI? The time to update your security playbook is now, before these systems become ubiquitous. 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…

The Digital Transformation Playbook

1
AI Divided: How Trust & Adoption Vary Across the Globe 20:42

לפני 4 weeks20:42

20:42

The world isn't experiencing artificial intelligence uniformly, and our groundbreaking exploration of the University of Melbourne's massive global AI survey reveals surprising patterns that challenge conventional wisdom about technology adoption. TLDR: Emerging economies like India and Nigeria report 92% AI adoption rates, while advanced economies lag behind About half of people in emerging economies have received AI training compared to less than a third in advanced economies Healthcare AI is the most trusted application in 42 of 47 countries surveyed 83% of people globally believe AI will bring benefits, but 79% express concerns about risks Two in five people globally have experienced negative outcomes from AI use 70% believe AI regulation is necessary, but 83% are unaware of existing AI laws Nearly half of employees admit uploading sensitive company information to public AI tools 83% of students regularly use AI, with widespread inappropriate use raising concerns about critical thinking skills Across 47 countries and 48,000 respondents, my Google Notebook LM AI agents uncover a stark divide: emerging economies are embracing AI with significantly higher enthusiasm than advanced economies. Nations like India and Nigeria report staggering 92% AI adoption rates, while developed nations show more hesitation. This pattern extends beyond mere usage emerging economies demonstrate higher AI literacy, with about half receiving some form of AI training compared to less than a third in advanced economies. Trust follows similar geographic contours. While global trust in AI sits at 58% overall, the confidence gap between regions is substantial. People generally trust AI's technical capabilities more than its safety or ethics, with healthcare applications earning the highest trust globally. When weighing benefits against risks, half of respondents in emerging economies believe the advantages outweigh concerns, while advanced economies remain deeply divided. In workplaces worldwide, concerning patterns emerge despite high adoption rates. Nearly half of employees admit uploading sensitive company information into public AI tools, two-thirds rely on AI output without proper evaluation, and over half try to hide their AI use. Educational settings show similar trends, with 83% of students regularly using AI but often inappropriately, raising serious questions about impacts on critical thinking skills. This research identifies trust as the central foundation for AI acceptance, with literacy, perceived benefits, and confidence in governance systems as key drivers. The striking regional contrasts suggest potentially divergent futures: emerging economies positioned to accelerate innovation through enthusiastic adoption versus advanced economies exercising what might be rational caution. What responsibilities do we each hold in shaping an AI future that's not just powerful but truly trustworthy? How might we bridge the identified gaps in understanding and trust? We encourage you to reflect on what these findings mean for your world as AI continues its rapid evolution. 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…

The Digital Transformation Playbook

1
Governing AI Agents: How Europe's AI Act Tackles Risks in an Automated Future 27:44

לפני 5 weeks27:44

27:44

The world of artificial intelligence is undergoing a seismic shift. Tech leaders like Sam Altman and Mark Benioff aren't just making bold predictions about AI agents – they're signaling a fundamental transformation in how AI systems interact with our world. These aren't just chatbots anymore; they're autonomous systems that can act independently in both digital and physical environments. TLDR: Half of all AI agents listed in research indices appeared just in second half of 2024 Major AI companies rapidly building agent capabilities (Anthropic's Claude, Google's Project Mariner, OpenAI's Operator) Agents amplify existing AI risks through autonomous planning and direct real-world interaction Potential harms include financial manipulation, psychological exploitation, and sophisticated cyber attacks EU AI Act provides potential governance framework but wasn't specifically designed for agents Our AI agent deep dive examines The Future Society's timely report "Ahead of the Curve: Governing AI Agents Under the EU AI Act," which tackles the complex challenge of regulating these emerging technologies. The acceleration is striking – roughly half of all AI agents appeared just in the latter half of 2024, with companies like OpenAI, Google, and Anthropic rapidly building agent capabilities that can control screens, navigate websites, and perform complex online research. What makes agents particularly concerning isn't just that they introduce new risks – they fundamentally amplify existing AI dangers. Through autonomous long-term planning and direct real-world interaction, they create entirely new pathways for harm. An agent with access to financial APIs could execute rapid transactions causing market instability. Others might manipulate vulnerable individuals through sophisticated psychological techniques. The stakes couldn't be higher. While Europe's landmark AI Act wasn't specifically designed for agents, it offers a potential governance framework through its value chain approach – distributing responsibility across model providers, system providers, and deployers. We unpack the four crucial pillars of this governance structure: comprehensive risk assessment, robust transparency tools, effective technical controls, and meaningful human oversight. Yet significant challenges remain. How do you effectively monitor autonomous systems without creating privacy concerns? Can technical safeguards keep pace with increasingly sophisticated behaviors? How do you ensure humans maintain meaningful control without creating efficiency bottlenecks? These questions demand urgent attention from regulators, developers, and users alike. As AI agents become increasingly integrated into our lives, understanding these governance challenges is crucial. Subscribe to continue exploring the cutting edge of AI policy and technology as we track these rapidly evolving systems and their implications for our shared digital future. 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…

The Digital Transformation Playbook

1
The Future Isn't Just Gen AI - It's Ethical, Orchestrated Intelligence 18:13

לפני 5 weeks18:13

18:13

From academic curiosity to business transformation - Peter van der Patten's journey through AI spans decades, beginning in 1989 when he first explored the fundamental nature of intelligence. As Lead Scientist and Director of Pega's AI Lab, Peter brings a unique perspective that bridges theoretical understanding with practical implementation. [Sponsored] The conversation reveals how AI has evolved from isolated research projects to become deeply integrated into enterprise operations. Peter articulates a vision where intelligence isn't merely a technological overlay but woven into every customer interaction. This philosophy has guided Pega's approach: creating a horizontal platform where different AI technologies - from process mining to speech recognition, decisioning engines to generative models - work in concert within broader business ecosystems. What emerges is a nuanced view of enterprise AI implementation. The most successful deployments blend multiple AI approaches, combining the predictability of traditional decisioning with the flexibility of generative capabilities. Take insurance claims processing: automated systems can assess approval likelihood or fraud risk while agentic components gather information and synthesize findings - all within structured workflows that maintain regulatory compliance. This orchestrated approach addresses one of generative AI's central challenges: hallucination. By embedding large language models within established decisioning frameworks and governance structures, organizations can harness creative capabilities while maintaining accuracy and accountability. Peter emphasizes that ethical principles like explainability and transparency become even more critical as AI systems grow more complex and autonomous. Looking toward the horizon, Peter identifies research agents as an early "sweet spot" for agentic implementation - tools that gather and synthesize information across sources while posing relatively low risk. The next frontier? Multi-agent collaboration, where AI systems must negotiate, understand each other's goals, and work cooperatively across organizational boundaries. Join us for this fascinating exploration of AI's past, present and emerging future - and discover why effective implementation demands more than just advanced technology. 🌎 Watch Peter's interview on YouTube - https://youtu.be/W01zmYX-K8A #PegaWorld2025 #AI #AgenticAI #PegaWorld #AILiteracy Pegasystems #a d #Sponsored 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…

The Digital Transformation Playbook

1
Digital Minions or Digital Dream Teams? The Future of AI Collaboration 26:09

לפני 5 weeks26:09

26:09

The distinction between AI agents and agentic AI might sound like semantic hair-splitting, but it represents one of the most significant evolutionary leaps in artificial intelligence development. While interest in both has exploded since late 2022, understanding their fundamental differences unlocks a clearer vision of where AI technology is heading. TLDR: AI agents are autonomous software programs designed for specific tasks with minimal human supervision Agents leverage powerful foundation models like LLMs and LIMs as their cognitive engines Agentic AI represents a leap forward through coordinated teams of specialized agents Multiple agents working together can tackle complex problems through goal decomposition Real-world applications range from customer support to medical decision support Current limitations include lack of causal understanding and difficulties with long-horizon planning The evolution from single agents to collaborative teams mirrors human approaches to complex tasks AI agents function as autonomous software programs designed for specific tasks in digital environments. They operate independently with minimal human oversight, excel at narrowly defined jobs, and can adapt to changing conditions. Powered by foundation models like GPT-4 and DALL-E, these digital workers become even more capable when "toolmented" – connected to external tools and APIs that expand their abilities beyond their internal knowledge. Agentic AI takes this concept to an entirely new level. Rather than a single agent juggling everything, agentic systems deploy teams of specialized agents collaborating toward shared complex goals. Think of it as the difference between a lone smart thermostat managing temperature and an orchestrated smart home ecosystem handling everything from weather forecasting to security, energy optimization, and scheduling through coordinated specialist agents. Both approaches are already transforming industries. Individual AI agents excel at customer service automation, email management, personalized recommendations, and scheduling assistance. Meanwhile, agentic AI systems tackle significantly more complex challenges – coordinating robotics in automated warehouses, providing collaborative medical decision support, automating research processes, and managing adaptive workflows for legal or cybersecurity applications. Despite their impressive capabilities, significant challenges remain. From limited causal understanding and planning difficulties in individual agents to amplified complexity and unpredictable emergent behaviors in agentic systems, researchers are actively pursuing solutions through improved memory architectures, better coordination frameworks, and stronger ethical guardrails. The potential implications for scientific discovery, global project management, and human-AI collaboration are profound – if we can navigate the technical hurdles responsibly. What aspects of this collaborative AI evolution do you find most promising or concerning? Join the conversation and share your thoughts on the future of AI agent technology. Research: AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenges 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…

The Digital Transformation Playbook

1
Legacy Transformation: How Pega's Blueprint Revolutionizes Enterprise Workflows 13:22

לפני 5 weeks13:22

13:22

Legacy transformation just got a whole lot faster. In this fascinating conversation with Matt Healy, who leads go-to-market for the Pega platform, we explore the remarkable evolution of Pega's Blueprint - a revolutionary SaaS product that's redefining how enterprises approach workflow automation and legacy system migration. [Sponsored] Blueprint has become the fastest-adopted capability in Pega's history, with over 150,000 applications generated in just 12 months. The latest advancement? AI agents that analyze legacy assets - from screen recordings to documentation - and transform them into cloud-ready applications. The results are staggering: Vodafone Networks has compressed their workflow deployment timeline to just 40 hours, dramatically accelerating their digital transformation journey. At the heart of Pega's approach is what Healy describes as "center-out business architecture," allowing enterprises to define processes once and deploy them across all channels. This unified approach ensures consistency as customers navigate between mobile, web, and contact centers, while maintaining full context throughout their journey. We also dive deep into Pega's unique approach to agentic AI, balancing innovation with enterprise requirements for governance and compliance. While research shows fewer than 20% of enterprises are realizing ROI from agentic AI investments, Pega's "predictable AI agents" wrap structured workflows with AI layers, ensuring compliant, auditable processes that deliver measurable value. Looking ahead, Healy predicts 2025 will be "the year of adoption" as enterprises integrate AI agents into core operations. Through partnerships with cloud providers and system integrators, Pega is focused on helping organizations escape legacy constraints and embrace an AI-powered future. Ready to transform your legacy systems? Try Blueprint today at pega.com/blueprint and experience the difference for yourself. 🌎 Watch the full interview on YouTube - https://youtu.be/rD-HKW6m00g #PegaWorld2025 #AI #AgenticAI #PegaWorld #AILiteracy Pegasystems #a d #Sponsored 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…

The Digital Transformation Playbook

1
The Future of MarTech Doesn't Have to Be Complex or Creepy 15:35

לפני 5 weeks15:35

15:35

The relationship between artificial intelligence and marketing has reached a fascinating inflection point. Rather than sparking fear about job displacement, AI presents an unprecedented opportunity for collaboration—enhancing human capabilities while handling data-intensive tasks that previously consumed valuable time. Tara DeZeo, Pega's product marketing leader for customer decision hub, frames this shift perfectly: "If we think about AI as a collaboration partner versus a replacement for marketers, that's more how it's being used in marketing organizations and that's how it should be used." This view resonates with forward-thinking marketers who recognize that automation of routine tasks creates space for more strategic, creative work. The conversation delves into one-to-one marketing—an approach that personalizes experiences at scale using real-time data signals. Unlike traditional segmentation that places customers into predetermined buckets, this AI-powered approach delivers contextually relevant communications when they matter most. Consider the banking app that recognizes when you've entered a wildfire zone and offers emergency resources instead of credit card promotions. That's not just smart marketing; it's empathetic engagement that builds lasting trust. As third-party cookies fade into obsolescence, marketers face a critical inflection point. The solution isn't to abandon personalization but to reimagine it through first-party and "zero-party" data—information willingly shared by customers. This shift demands transparency about how data will be used, creating a foundation for more meaningful relationships. As DeZeo notes, "We weren't very transparent about how we were using third-party cookies... we just obfuscated that from the consumer to the point where it became a problem." Looking ahead, Pega's Customer Engagement Blueprint represents a significant advancement in visualizing AI-powered marketing journeys, helping even traditional marketers evolve their approaches while identifying gaps in current programs. The vision for tomorrow centers on "scaling personalization without complexity"—activated data, unified experiences, and genuine connections that feel helpful rather than intrusive. Try Blueprint for yourself at pega.com/blueprint and discover how AI can transform your marketing from merely transactional to truly transformational. 🌎 Watch Tara's interview on YouTube - https://youtu.be/pGg_S9h5mIk 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…

The Digital Transformation Playbook

1
Your AI Butler Might Have Left the Back Door Open 16:32

לפני 6 weeks16:32

16:32

What lurks beneath the impressive capabilities of your AI assistants? Security vulnerabilities that could put your data and systems at risk. TLDR: Privacy leakage becomes a major concern as sensitive data may become part of the LLM's memory Local vulnerabilities include file deletion, unauthorized access, and resource overconsumption AI agents can become unwitting accomplices in attacks against remote services Effective defences include proper session isolation, robust sandboxing, and encryption techniques The security of AI agents must be designed in from the beginning, not added as an afterthought While we marvel at AI agents writing scripts, querying databases, and browsing the web, security researchers have identified critical weaknesses in how these systems operate. This AI agent created podcast episode dives deep into ground breaking research on the hidden dangers of LLM-powered AI agents and why they matter to anyone using or developing this technology. We explore how poor session management can lead to information leakage between users, causing privacy breaches or mixed-up actions. We unpack the concept of model pollution, where malicious or unwanted data gradually corrupts an AI system's responses. The conversation tackles privacy risks illustrated by real-world incidents like Samsung's code leak through ChatGPT, showing how sensitive information can become embedded in model memory. The most eye-opening segment examines how AI agents can become security liabilities through local vulnerabilities (deleting files, accessing private data) and remote exploits (becoming unwitting participants in attacks against other services). Your helpful assistant could potentially become part of a botnet or leak your sensitive information—all while appearing to function normally. But there's hope. We detail promising defense strategies including proper session isolation, robust sandboxing techniques, and advanced encryption methods that allow agents to work with sensitive data without exposing the actual content. The episode emphasizes that security cannot be an afterthought but must be woven into AI systems from the beginning. As these powerful AI tools become increasingly embedded in our digital lives, understanding their security implications isn't just for tech experts—it's essential knowledge for everyone. Listen now to gain crucial insights into keeping your AI interactions secure and your data protected . Research: Security of AI Agents 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…

The Digital Transformation Playbook

1
The AI Within: Human Psychology and Chatbot Interactions 20:43

לפני 6 weeks20:43

20:43

A revolutionary study has uncovered unexpected truths about our growing relationships with AI chatbots, revealing complex patterns that challenge conventional wisdom about human-AI interactions. Listen in as Google NotebookLMs AI voice generated agents talk to this excellent piece of research. TLDR: Nearly 1,000 participants exchanged over 300,000 messages with GPT-4 across nine different interaction conditions Using chatbots generally reduced feelings of loneliness but also led to less socialization with real people Longer daily usage consistently linked to negative outcomes including increased loneliness and emotional dependence Diving deep into data from nearly 1,000 participants who exchanged over 300,000 messages with GPT-4, we explore the fascinating psychological effects of daily chatbot use. The results paint a nuanced picture: while AI interactions generally reduced feelings of loneliness, they simultaneously led to decreased real-world socializing. Most notably, longer daily usage consistently predicted negative outcomes across all interaction types – a finding that should give us pause as these technologies become increasingly embedded in our lives. The study's most surprising revelation challenges our assumptions about voice versus text interactions. While voice-based chatbots initially seemed to produce better psychological outcomes, these benefits disappeared or even reversed with extended use. Meanwhile, text interactions showed higher emotional engagement and more supportive AI responses than their more human-sounding counterparts. Even more unexpectedly, using AI for practical, factual conversations – rather than personal ones – was linked to greater emotional dependence with prolonged use. Four distinct interaction patterns emerged from the research, from "socially vulnerable" users who form emotional bonds with AI to "casual" users who maintain healthy boundaries. Your own characteristics – from pre-existing loneliness to how you perceive the AI – significantly influence which pattern you might fall into and what psychological effects you'll experience. As we navigate this new frontier of digital relationships, these findings raise critical questions about responsible AI design and usage. How can we harness the benefits of these technologies while preserving genuine human connection? The balance we strike today may shape the future of our social wellbeing in an increasingly AI-integrated world. What patterns do you recognize in your own AI interactions? Share your thoughts and join the conversation about finding healthy boundaries with our digital companions. Link to research: How AI and Human Behaviors Shape Psychosocial Effects of Chatbot Use: A Longitudinal Randomized Controlled Study 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…

The Digital Transformation Playbook

1
Your Competitors Are Already Using Autonomous AI Agents. Are You? 27:13

לפני 7 weeks27:13

27:13

What happens when AI doesn't just respond to prompts but takes initiative, makes decisions, and collaborates with other AI agents to solve complex business problems? Simon Torrance, a global authority on business transformation with over three decades of experience, opens our eyes to the revolutionary world of agentic AI – and why it matters right now. TLDR: AI with agency can make independent choices, take actions, and solve complex problems Agentic AI differs from automation by creating end-to-end solutions rather than just following processes Five key elements of an agent: LLM capability, persona, reasoning ability, memory, and action capability Leaders should understand the technology, develop a strategy, and identify high-value, low-risk areas to start Approximately 50% of knowledge worker roles will be disrupted by agentic AI Mental model shift: recognizing AI can do work we currently believe only humans can do Forget what you thought you knew about automation. Agentic AI represents a fundamentally different capability: artificial intelligence with genuine agency that can act independently, reason through problems, and execute solutions without human intervention. As Simon explains, this technology allows organizations to create synthetic workforces that can dramatically expand operational capacity at a fraction of the cost of human teams. The examples Simon shares are nothing short of remarkable. A team of 20 AI agents completing complex risk analysis in one hour that would take human consultants six weeks. Ten AI agents running an entire insurance operation – brainstorming on Slack, managing claims, ensuring compliance – and delivering higher customer satisfaction than human teams. These aren't future possibilities; they're happening now with technology that's already a year old. For business leaders, the implications are profound. The strategic risk isn't just falling behind technologically – it's being outcompeted by rivals who triple their operational capacity while slashing costs. Simon makes a compelling case that we're approaching a watershed moment where AI capabilities will match or exceed human cognitive abilities in many domains within the next decade. This requires a fundamental shift in how we think about work, organizational structure, and competitive strategy. Ready to explore how agentic AI could transform your organization? Then lets chat - ☎️ FREE introductory meeting: https://calendly.com/kierangilmurray/30min 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…

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