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The landscape of enterprise technology partnerships is evolving rapidly, and IBM stands at the forefront of this transformation. Nick Otto, who leads IBM's strategic partnerships after 20 years with the company, shares a compelling vision of collaboration that transcends traditional vendor relationships.

TLDR:

• IBM's partnerships with AWS, Microsoft, Adobe, Salesforce, Palo Alto, SAP, and Samsung focus on combining strengths to address market needs

What does it mean to orchestrate billion-dollar partnerships in today's AI-driven world? Nick takes us behind the scenes of IBM's relationships with tech giants including AWS, Microsoft, Adobe, Salesforce, Oracle, SAP, and Samsung. These aren't mere business arrangements—they represent a fundamental shift in how enterprise technology providers create value together rather than competing head-to-head.

The conversation reveals IBM's unwavering commitment to openness and client choice. Beginning with the hybrid cloud narrative that followed their Red Hat acquisition, IBM has consistently championed the philosophy of letting clients run workloads wherever they choose. This same principle now extends into the realm of AI, where IBM has made its Granite LLM capabilities available across multiple cloud platforms.

Perhaps most fascinating is IBM's approach to the emerging field of agentic AI. Instead of creating isolated capabilities, they're fostering bi-directional collaboration between their agents and those of partners like Salesforce and Oracle. This integration-focused strategy recognizes the reality that most enterprises are building complex technology ecosystems rather than single-vendor environments.

The strategic importance of cloud marketplaces emerges as another key theme, with IBM significantly expanding its presence on AWS and Azure platforms. With 70 software offerings across 89 countries on AWS alone, and plans to enable resellers across 22 new countries soon, IBM is meeting clients where they increasingly prefer to purchase technology.

Looking forward to the next phase of partnership innovation? Nick outlines three focal areas: deeper technology integration, continued support for hybrid approaches, and more creative commercial constructs. The goal remains consistent—helping clients solve problems their way, with the technologies they choose, delivered how they want them.

🎙️ Tune in as I speak with Nick at IBM Think 2025: https://obvs.ly/kieran-gilmurray2

#Think2025 #IBMPartner IBM IBM Partner Plus

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Curious about what AI agents really are and how they're reshaping automation? This deep dive cuts through the jargon to deliver precisely what you need to know about these powerful systems built on large language models. Well listen to AI explain AI.

TLDR:

• Three key components make an AI agent: an LLM as its brain, tools to interact with the world, and guardrails to ensure appropriate behaviour
• AI agents excel where traditional rule-based systems fail: complex decision-making, overly complicated rules, and processing unstructured data
• Start building with the most capable model to prove your concept, then optimize later with smaller, faster, cheaper options if needed
• Tools come in three types: data tools for fetching information, action tools for doing things, and orchestration tools for calling other agents
• Clear instructions are vital - leverage existing SOPs, prompt the agent to break down tasks, and anticipate edge cases
• Begin with simple single-agent systems before moving to multi-agent approaches like the manager pattern or decentralized pattern
• Implement layered guardrails including relevance checks, safety classifiers, PII filters, moderation tools, and risk-based controls
• Human intervention remains critical, especially for high-risk actions or when the agent struggles with certain tasks

We explore how AI agents fundamentally differ from traditional software by independently accomplishing tasks through their LLM "brain," specialized tools, and carefully designed guardrails. Rather than just following rigid rules, these systems can reason through complex problems, adapt on the fly, and make nuanced judgment calls – like having tiny specialized workers available 24/7.

You'll discover the three key scenarios where AI agents truly shine: handling complex decisions requiring judgment, replacing brittle rule systems that have become maintenance nightmares, and processing mountains of unstructured data. We break down the building blocks of effective agent design, from choosing the right model to crafting clear instructions and implementing proper safety mechanisms.

The conversation moves from simple single-agent systems to sophisticated multi-agent architectures, explaining when to use manager patterns versus decentralized approaches. We emphasize the critical importance of layered safety measures – from privacy protections to content moderation – and the continuing role of human oversight, especially for high-risk actions.

Whether you're just exploring the concept or actively looking to implement AI agents in your organization, this episode provides the clear, practical understanding you need to evaluate their potential and approach their development responsibly. The future of work is changing – are you ready to rethink what automation can accomplish?

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The future of business technology isn't some distant horizon - it's unfolding right now in Boston at IBM Think 2025. 

Our latest AI generated episode cuts through the hype to deliver the essential insights from digital transformation strategist Kieran Gilmurray's perspective on why this conference demands attention.

TLDR:

• IBM Partner Plus Day offers exclusive networking opportunities and actionable insights for growth
• The IBM Partner Zone facilitates strategic alliances that provide lasting competitive advantages
• Agentic AI is positioned as a current reality rather than future technology
• IBM Watson X Orchestrate sessions will demonstrate how AI agents enhance business workflows
• Real-world demonstrations from brands like Ferrari, HP, and UFC showcase practical applications
• Diverse speakers include IBM CEO Arvind Krishna and former NZ Prime Minister Jacinda Ardern
• Global networking opportunities connect over 5,000 professionals from more than 90 countries

Partner Plus Day:  The best ecosystem in tech. New partnerships. Big ideas. We begin by exploring the unique value of IBM's Partner Plus Day, where exclusive networking transcends typical conference interactions to forge strategic alliances with lasting competitive advantages. These connections aren't merely transactional—they're transformational, with regional discussions bringing together local expertise and global vision to address market-specific challenges.

Agentic AI is here:  2025 is the year AI teammates go mainstream and start driving businesses.  The technological heart of the conference beats with agentic AI—not as theoretical potential but as present reality. Gilmurray boldly declares 2025 may be "the year of AI agents," marking a pivotal shift from last year's focus on language models to practical AI implementations that enhance business workflows today. Equally crucial is the emphasis on data quality governance as the foundation for superior decision-making, paired with automation and hybrid cloud strategies that enable genuine business scaling.

Main stage mindset shifts and tech in action:  Real-world implementations from brands like Ferrari, HP, and UFC offer tangible proof of technology's impact, while an unexpected speaker line-up featuring both tech leaders and global figures like former New Zealand Prime Minister Jacinda Ardern promises multidimensional perspectives on leadership in the digital age. With over 5,000 attendees from more than 90 countries, the networking potential extends far beyond business cards to strategic connections that could shape your organization's future direction.

IBM Think 2025 

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The digital landscape has fundamentally shifted. Generative AI has moved beyond the realm of science fiction and corporate boardrooms into our most intimate spaces, reshaping how we approach not just productivity but our emotional well-being, personal growth, and daily routines.

TLDR:

• Examining how the report captures authentic AI adoption through analysis of public online conversations
• Discussing the shift from technical to personal uses, with emotional well-being applications rising to prominence
• Exploring "therapy companionship" as the top-ranked use case, providing empathetic responses and virtual friendship
• Highlighting how AI helps with self-reflection, finding purpose, and boosting confidence
• Analyzing practical applications for life organization, health management, and travel planning
• Investigating AI's impact on personalized learning and making complex topics accessible
• Looking at creative and recreational uses like generating memes, recipes, and troubleshooting everyday problems
• Considering how these evolving uses blur the lines between human help and AI assistance

Mark Zell Sanders' groundbreaking 2025 Top 100 Gen AI Use Case Report offers unprecedented insight into this transformation, capturing authentic usage patterns through analysis of public online conversations. Unlike hypothetical projections, this research reveals how real people are integrating AI into their lives in ways both surprising and profound.

The findings reveal a dramatic shift toward deeply personal applications. Topping the list is "therapy companionship," with users seeking emotional support and empathetic responses from AI. People report building confidence, finding purpose, and even processing trauma through AI-assisted reflection. One user with cognitive challenges poignantly shared that AI "saved my sanity," highlighting its emerging role as assistive technology for fundamental human needs.

Practical applications continue evolving as well. New categories like "organize my life" and "healthier living" demonstrate AI's expanding presence in daily management, while learning applications leverage AI's infinite patience and judgment-free environment to make complex topics accessible. From generating personalized travel itineraries to troubleshooting car problems, AI is becoming our digital Swiss Army knife for everyday challenges.

What does this transition from novelty to necessity mean for our relationship with technology? As the boundaries between human support and AI assistance blur further, how might these tools reshape our understanding of connection, learning, and personal development? Explore these questions with us as we examine the surprising ways generative AI is quietly weaving itself into the fabric of modern life.

Listen now to discover how AI's most impactful applications may not be what tech giants predicted, but rather what everyday users have organically discovered through their own ingenuity and needs.

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The landscape of artificial intelligence has transformed dramatically. What once seemed like science fiction—AI creating content from scratch—has quietly woven itself into our everyday lives in ways both surprising and profound. 

TLDR:

• AI for therapy and companionship ranks as the #1 use case, with users seeking emotional support and empathetic responses

• People are using AI as a thinking partner for deep personal questions, finding purpose, and boosting confidence
• Life organization applications include personalized schedules, health plans, and travel itineraries
• Enhanced learning through AI offers personalized education with "infinite patience" and judgment-free explanations
• Creative uses range from generating memes and jokes to suggesting recipes based on available ingredients
• Technical assistance for everyday problems empowers users to fix everything from audio settings to car parts

Mark Zell Sanders' 2025 Top 100 Gen AI Use Case Report offers a fascinating window into this evolution, not through hypothetical scenarios but by examining authentic online conversations about how real people are actually using these tools. 

The methodology itself speaks volumes—curating public discussions from platforms like Reddit provides insights that traditional surveys simply miss, capturing the genuine, unfiltered ways AI is being incorporated into daily routines.

What emerges from this deep dive is a remarkable shift away from purely technical applications toward deeply personal ones. "Therapy companionship" now ranks as the #1 use case, with people seeking emotional support, empathetic responses, and virtual companionship from AI. 

One user with a brain injury credited AI with "saving my sanity" by helping manage family interactions, brain fog, and memory problems. Others use AI as a thinking partner for self-reflection, exploring values, and navigating life paths—some even reporting tangible life changes like returning to education after these AI-facilitated introspections.

The practical applications are equally fascinating. Users create detailed life organization systems, personalized health plans, and custom travel itineraries. They leverage AI for judgment-free learning experiences, recipe suggestions based on available ingredients, and troubleshooting everything from audio settings to car repairs. Each example illustrates how generative AI is becoming less a specialized tool and more an integrated companion across multiple dimensions of human experience.

As you listen to these diverse examples, consider how the line between human assistance and AI support might continue to blur in your own life. What new possibilities—or challenges—might this present? We'd love to hear about your experiences with generative AI as this remarkable technology continues its rapid evolution.

Report: The 2025 Top-100 Gen AI Use Case Report.pdf 

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Unlock the transformative potential of AI agents in this deep-dive exploration of how LLM-powered systems are redefining what's possible in automation. We cut through the jargon and hype to reveal exactly what sets AI agents apart from conventional software – their ability to independently reason, orchestrate complex workflows, and make nuanced decisions without constant human guidance.

Discover the three essential building blocks that power effective agents: the LLM "brain" that drives reasoning, the tools that enable real-world actions, and the carefully crafted guardrails that ensure safe, reliable operation. We examine exactly where these systems deliver breakthrough value – in complex decision-making scenarios, situations with brittle rule systems, and workflows drowning in unstructured data.

Whether you're exploring potential applications or planning implementation, we provide practical insights on model selection, tool integration, instruction design, and orchestration patterns. Learn why starting simple with single-agent approaches often yields better results, and when to consider more sophisticated multi-agent architectures. Plus, discover the critical importance of layered safety mechanisms and thoughtful human oversight in creating responsible, effective systems.

As these powerful agents become more integrated into our workflows, they're not just changing how automation works – they're transforming our fundamental understanding of what work itself means. Ready to navigate this paradigm shift? Subscribe now to stay ahead of the AI revolution reshaping business and technology.

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We stand at the threshold of a new era in artificial intelligence—one where AI isn't just following instructions but actively thinking, reasoning, and working autonomously alongside humans. In this eye-opening conversation with Kieran Gilmurray, one of the top 50 global thought leaders in generative AI, we explore how agentic AI is fundamentally reshaping how businesses operate and engage with customers.

TLDR:

• The evolution from RPA to intelligent automation to agentic AI that can think and reason
• Agentic AI creates digital avatars capable of emotionally intelligent customer interactions in 111 languages
• The concept of "one-person, billion-dollar company" enabled by teams of specialized digital workers
• Challenges with AI adoption include skill shortages and cultural resistance to technological change
• The critical importance of high-quality, structured data for effective AI implementation
• Generative Engine Optimization (GEO) as the next frontier beyond traditional SEO
• Businesses must prepare for "machine customers" as AI agents increasingly make buying decisions
• Technology should work for humans, not control them – maintaining human agency is essential

Kieran walks us through the evolution from basic automation to today's sophisticated AI agents that function as digital co-workers capable of handling complex, end-to-end processes. He paints a vivid picture of how these technologies are enabling "one-person, billion-dollar companies" through teams of specialized digital workers that can perform everything from customer service to financial operations with remarkable efficiency and emotional intelligence.

The conversation takes a fascinating turn when Kieran introduces Generative Engine Optimization (GEO)—a critical shift in digital strategy as consumers increasingly bypass traditional search engines in favor of AI interfaces. This requires businesses to completely rethink their approach to digital visibility, focusing on structured data and authoritative content that AI systems can easily incorporate into their responses.

Throughout our discussion, Kieran balances optimism about AI's potential to amplify human capabilities with practical advice about managing risks like deepfakes and data mismanagement. His perspective is refreshingly nuanced—acknowledging legitimate concerns while emphasizing how these technologies can free humans to focus on creative, fulfilling work rather than repetitive tasks.

Whether you're a business leader wondering how to implement AI responsibly, a marketer grappling with the changing landscape of digital visibility, or simply curious about how these technologies will shape our future, this conversation offers valuable insights into preparing for a world where humans and intelligent machines work together to achieve extraordinary results. As Kieran puts it, "We can have everything, and why shouldn't we aim for that?"

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When AI goes wrong, who pays the price? Our deep dive into recent research uncovers the troubling realities behind AI privacy breaches and ethical failures that affect millions of users worldwide.

TLDR:

• Research analyzed 202 incidents tagged as privacy or ethical concerns from major AI incident databases
• Four-stage framework covers the entire AI lifecycle: training, deployment, application, and societal impacts
• Nearly 40% of incidents involve non-consensual imagery, deepfakes, and impersonation
• Most incidents stem from organizational decisions rather than purely technical limitations
• Only 6% of incidents are self-reported by AI companies, while the public and victims report 38%
• Current governance systems show significant disconnect between actual harm and meaningful penalties
• Recommendations include standardized reporting, mandatory disclosures, and stronger enforcement
• Individual AI literacy becoming increasingly important to recognize and resist manipulation

Drawing from an analysis of over 200 documented AI incidents, we peel back the layers on how privacy violations occur throughout the entire AI lifecycle—from problematic data collection during training to deliberate safeguard bypassing during deployment. Most concerningly, nearly 40% of all incidents involve non-consensual deepfakes and digital impersonation, creating real-world harm that current governance systems struggle to address effectively.

The findings challenge common assumptions about AI incidents. While technical limitations play a role, the research reveals that organizational decisions and business practices are far more influential in causing privacy breaches than purely technical failures. Perhaps most troubling is the transparency gap: only 6% of incidents are self-reported by AI companies themselves, with victims and the general public being the primary whistleblowers.

We explore the consequences ranging from reputation damage to false accusations, financial loss, and even wrongful arrests due to AI misidentification. The research highlights a critical disconnect between the frequency of concrete harm and the application of meaningful penalties—suggesting current regulations lack adequate enforcement teeth.

For professionals and everyday users alike, understanding these patterns is crucial as AI becomes increasingly embedded in our daily lives. The episode offers practical insights into recognizing manipulation, protecting personal data, and joining the conversation about necessary governance reforms including standardized incident reporting and stronger accountability mechanisms.

What role should you play in demanding transparency from the companies whose algorithms increasingly shape your digital experience? Listen in and join the conversation about creating a more ethical AI future.

Research Study Link

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What happens when AI doesn't just create, but acts autonomously? Kieran Gilmurray, CEO of Kieran Gilmurray Company and Limited & Chief AI Innovator, takes us beyond generative AI into the realm of agentic systems that can plan, adapt, and operate with minimal human guidance.

TLDR:

• Generative AI creates content while agentic AI takes action and makes decisions autonomously
• Knowledge is becoming freely accessible, challenging the traditional model of hiring and training junior professionals
• Organizations face strategic choices between automating roles or augmenting human capabilities
• The human-technology partnership remains essential, with AI handling routine tasks while humans develop uniquely human skills
• Leaders must learn to manage hybrid teams comprising both human and digital labor
• Emotional intelligence, curiosity, and communication skills become increasingly valuable as technical tasks are automated
• Organizations need adaptive mindsets and structures to thrive in an environment where competitive advantages may last months rather than years
• The goal should be creating AI-native intelligent businesses with people at their core, not replacing humans

As knowledge becomes freely accessible through AI for mere dollars per month rather than years of training, organizations face profound questions about their workforce structures. 

• Do we still need junior staff when AI can perform their tasks? 
• How do we balance human and digital labor? 

Kieran shares a striking example of how a business professor compressed what would have been 12 weeks of team research into just 2.5 hours using a customized AI system, producing results the client couldn't believe weren't human-generated.

Despite these capabilities, Kieran emphasizes that the most successful approach isn't replacement but augmentation: "Great people plus great technology equals an even greater result." 

While AI handles routine tasks, humans should develop their uniquely valuable skills—emotional intelligence, curiosity, cognitive flexibility, and communication.  Leaders must learn to orchestrate hybrid teams of humans and digital workers, setting appropriate metrics and creating meaningful career paths in this new environment.

The most forward-thinking organizations will move beyond simply adding AI to existing processes and instead fundamentally reimagine how they deliver value. These "AI-native intelligent businesses" will combine intelligent processes, people, and technology to create frictionless experiences for customers. As technology becomes easier to copy and competitive advantages shrink from years to months, an organization's true edge will be its ability to build adaptive teams that combine human creativity with technological capabilities.

Ready to navigate this rapidly evolving landscape? 

Listen now to discover how you can thrive alongside AI rather than be replaced by it.

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Generative AI isn't merely accelerating workplace productivity—it's fundamentally reconstructing how value is created, expertise is defined, and organizations develop. My conversation with enterprise strategy expert Andreas Welsch reveals the profound shifts happening beneath the surface of today's AI revolution.

TLDR:

• 75-90% of C-level executives believe their companies approach AI strategically while only 33-50% of employees agree
• AI delivers up to 43% productivity gains and boosts work quality for 68% of users
• Employees can reach 60-80% expert-level performance in new tasks with AI assistance
• Less than 10% of companies have deployed Gen AI across five or more functions
• Successful AI scaling requires aligning with business strategy and measurable KPIs
• Viewing AI as a cybernetic teammate rather than just a tool changes how we implement governance
• The biggest risk for businesses is not adopting AI at all
• Start by auditing existing tech stack for AI features already available from vendors

We unpack the dangerous disconnect between C-suite confidence and workforce reality: while 75-90% of executives believe their AI approach is strategic, barely half their employees agree. Andreas exposes the critical misconception that "AI doesn't apply to our business," asserting instead that AI's relevance spans every function—the key lies in discovering where it creates meaningful value for your specific context.

The transformation extends beyond the impressive statistics (43% productivity gains, enhanced work quality for 68% of users) to something more fundamental: AI is democratizing expertise. Employees can now perform at near-expert levels in unfamiliar domains within days rather than the traditional "10,000 hours" of practice. This doesn't eliminate the need for deep expertise but fundamentally changes how we think about team composition and skill development.

Perhaps most fascinating is the conceptual shift from viewing AI as a tool to seeing it as a cybernetic teammate, particularly as agentic AI emerges. This perspective change demands new governance frameworks—Andreas suggests we might look to existing human resource practices rather than reinventing the wheel. The greatest risk for leaders isn't implementing AI poorly but failing to implement it at all, as competitors capture value and markets transform around them.

Ready to transform how your organization approaches AI? Discover practical strategies in Andreas Welsch's AI Leadership Handbook and learn how to align technology with your business strategy for measurable outcomes that drive real competitive advantage.

Links to Andreas content:

https://www.intelligence-briefing.com 

https://www.aileadershiphandbook.com 

https://www.linkedin.com/in/andreasmwelsch 

Podcast: “What’s the BUZZ?—AI in Busine

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The Turing Test, once a distant philosophical thought experiment, has suddenly become startlingly relevant in our AI-saturated world. We dive deep into groundbreaking research that reveals something extraordinary: today's advanced language models can consistently pass this iconic test of machine intelligence—and sometimes outperform humans at appearing human.

This fascinating study examined how effectively modern LLMs like GPT-4.5 and LAMA 3.1 could convince human judges they were real people in controlled Turing Test environments. The results are mind-blowing: when given specific persona prompts, GPT-4.5 achieved a 73% win rate, meaning judges mistakenly identified it as human nearly three-quarters of the time. Even more remarkably, the AI was often more convincing than actual humans in parallel tests.

We explore the nuances that made this possible, from the crucial role of persona-based prompting to the surprising ineffectiveness of common detection strategies. Counter to intuition, asking about emotions or personal experiences proved less effective at identifying AI than random, unexpected questions. The research reveals an almost paradoxical finding: appearing less knowledgeable sometimes made AI seem more human, highlighting the complex psychological dynamics at play when we evaluate humanity.

Beyond the technical achievements, these findings raise profound questions about our digital future. As AI becomes increasingly indistinguishable from humans in conversation, what does this mean for online trust, employment, and our fundamental understanding of what makes us human? As we navigate this new frontier where machines can mimic our social intelligence with uncanny precision, perhaps the real value of the Turing Test isn't in what it tells us about machines, but what it reveals about ourselves. Join us for this thought-provoking exploration of intelligence, identity, and the blurring boundaries between human and machine.

Link to research: https://arxiv.org/pdf/2503.23674

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The legal profession stands at a technological crossroads, with generative AI rapidly transforming how lawyers work. When Microsoft lawyers began using AI tools, they became 32% faster and 20% more accurate – a stunning efficiency boost that's now within reach for legal professionals everywhere.

TLDR:

• Prompt engineering is the art of crafting instructions to get specific desired results from AI
• Four key questions for effective prompts: what do you want AI to do, why and who's involved, how should AI respond, what reference material should it use
• Legal applications include drafting, research, analysis, summarization, negotiation support, and client communications
• The lawyer always remains responsible for the final work product – AI is a co-pilot, not autopilot
• Ethical considerations include professionalism, proper disclosure, confidentiality, and data security
• Best practices include using trusted source materials, verifying results, and experimenting to improve prompts
• Microsoft and Singapore Academy of Law's guide provides practical examples for contract review, disputes, compliance, and client communications.

Prompt engineering – the skill of crafting effective instructions for AI systems – has emerged as the key to unlocking these capabilities. Drawing from Microsoft and the Singapore Academy of Law's comprehensive guide, we explore how lawyers can master this art through a structured approach. The framework revolves around four essential questions: defining your goal with clear action verbs, providing rich context about purpose and stakeholders, specifying expected output formats, and directing the AI to appropriate reference materials. This methodology transforms vague requests into powerful, targeted prompts that deliver precisely what a lawyer needs.

The practical applications span virtually every aspect of legal work. From generating contract drafts and identifying risks to summarizing cases and preparing for negotiations, AI assists with routine tasks while freeing lawyers to focus on strategy and client relationships. Integration with familiar tools like Word, Teams, and Outlook makes these capabilities seamlessly accessible within existing workflows. Yet with this power comes significant responsibility – the lawyer always remains accountable for the final work product, with ethical considerations around disclosure, confidentiality, and appropriate use cases requiring careful navigation.

As AI continues reshaping legal practice, prompt engineering is quickly becoming as fundamental as legal research or writing skills. Try experimenting with these techniques in your own work – the efficiency gains might surprise you. How will you incorporate AI as your legal co-pilot?

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The boundary between AI as a tool and AI as a teammate is dissolving before our eyes. Drawing from ground breaking research with 776 Procter & Gamble professionals working on actual product innovation challenges, we unpack how generative AI is fundamentally reshaping workplace collaboration, expertise sharing, and team performance.

TLDR:

• AI-assisted individuals perform as well as traditional two-person teams without AI
• Teams using AI create higher-quality solutions and work 12.7% faster
• AI breaks down knowledge silos between different expertise domains
• Less experienced employees with AI can perform at expert levels
• People working with AI report more positive emotions and less anxiety
• AI serves as more than a writing tool—it's a true thought partner
• Using AI creates more balanced ideas combining both technical and commercial perspectives
• Teams with AI are 9.2 percentage points more likely to develop top-tier solutions
• Despite creating better work, AI users feel less confident about their solutions
• The "cybernetic teammate" concept captures how AI is becoming a collaborative partner rather than just a tool

The findings are striking. Individuals with AI support performed at the same level as traditional two-person teams without AI. Teams augmented with AI not only produced higher quality solutions but did so 12.7% faster while exploring more dimensions of each problem. Most surprisingly, AI demolished the traditional knowledge silos between technical and commercial domains, creating more balanced and integrated solutions where expertise flowed freely.

Perhaps most transformative was the democratizing effect—less experienced employees using AI performed at expert levels, effectively leveling the playing field across experience levels. And contrary to concerns about cold machine interactions, people working with AI reported higher levels of enthusiasm and lower anxiety than conventional teams.

This isn't just about productivity gains. We're witnessing the emergence of what researchers call the "cybernetic teammate"—a collaborative partnership where AI doesn't replace human judgment but expands our creative and analytical capacities. As one person with AI can now match a team's output, organizations may need to reconsider traditional team structures, expertise valuation, and collaboration frameworks.

Have you experienced working with AI as a teammate rather than just a tool? How might this reshape your approach to solving complex problems? Join the conversation about how "cybernetic teamwork" is redefining what's possible in workplace collaboration.

AI is transforming teamwork from a tool into a genuine teammate.

Reading the full paper to understand how these insights might apply to you and your work.

HBR Working paper, "The Cybernetic Teammate: A Field Experiment on Generative AI Reshaping Teamwork and Expertise,"

Link: https://papers.ssrn.com/

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📕 Buy my book 'The A-Z of Generative AI - A Guide to Leveraging AI for Business' - The A-Z of Generative AI – Digital Book Kieran Gilmurray

Could the future of customer service and workplace harmony lie in the realm of Emotion AI? Join us for an enlightening conversation with Marie Toft, CEO of Emotionise AI, as she unveils the transformative power of weaving emotional intelligence into artificial intelligence.

Marie's unique journey from psychotherapy and broadcasting to spearheading a pioneering AI company sets the stage for a discussion on how Emotion AI is bridging the emotional chasm left by traditional AI systems.

This episode is packed with insights into how Emotionise AI pre-emptively tackles communication hiccups, enriching both customer and employee interactions by fostering connection and understanding.

We explore how emotionally aware AI can enhance customer service outcomes, the challenges of integrating emotional intelligence into AI technology, and the future opportunities that agentic AI presents while highlighting the critical aspects of trust and ethical considerations.

• Definition and significance of emotional AI
• Importance of emotional intelligence in customer interactions
• Challenges faced when building emotionally intelligent AI
• The role of data quality in developing effective AI models
• Benefits of agentic AI for personalized customer support
• Importance of establishing trust in AI technologies
• Future implications for emotional AI and business operations

We also venture further into the implications of Emotion AI for business success, highlighting tangible outcomes like improved customer satisfaction and a potential 25% profit boost. Discover how creating emotionally intelligent AI models aligned with company values can significantly impact a brand's bottom line.

We also explore the role of senior leadership and the necessity of clear metrics such as CSAT and NPS for evaluating AI initiatives.

Marie Toft shares her insights on the broader importance of emotional intelligence in both personal and professional spheres, offering listeners a chance to connect with her for continued learning.

Tune in to unlock the potential of emotional intelligence to revolutionize your business landscape.

See: Emotionise AI for more details.

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The AI revolution is no longer coming—it's here. With 200 million weekly ChatGPT users today and projections of over 700 million AI users by 2030, understanding what AI literacy truly means has become mission-critical for professionals across every industry.

TLDR:

• Unlike digital literacy which developed over decades, AI capabilities are transforming dramatically within months
• 85% of the workforce will be AI users rather than AI builders, requiring different approaches to AI literacy education
• The EU AI Act coming into effect in 2024 includes specific requirements for AI literacy with enforcement beginning February 2025
• Organizations face challenges in building AI literacy including overcoming skill gaps, addressing resistance, and keeping pace with rapid technological changes
• "Supercharged professionals" are those who strategically leverage it to enhance their existing skills
• Companies implementing AI literacy initiatives are seeing significant productivity gains
• Building an AI literate organization requires establishing fundamentals, promoting practical proficiency, encouraging critical evaluation, instilling ethical responsibility, and fostering continuous learning

Drawing from CFTE's comprehensive white paper, Google NotebookLM AIs explore how AI literacy has rapidly transformed from a specialized technical skill to an essential competency for everyone. 

Much like internet literacy evolved from simply accessing websites to critically evaluating online information, AI literacy now encompasses five core components: understanding basic AI concepts, effectively using AI tools, critically evaluating AI outputs, recognizing ethical implications, and developing confidence in working alongside these powerful technologies.

Unlike digital literacy that developed gradually over decades, AI systems like GPT-4 and Claude are making quantum leaps in capability within months. This acceleration means AI literacy isn't a one-time achievement but requires continuous learning and adaptation.

Most importantly, we unpack the distinction between AI builders (roughly 15% of the workforce) and AI users (about 85%) highlighting that most professionals don't need to code AI systems but must understand how to work effectively alongside them. 

This distinction shapes how organizations should approach AI literacy training, from establishing foundational knowledge to promoting critical thinking and ethical responsibility.

Those who develop these competencies will become what CFTE calls "supercharged professionals" leveraging AI to amplify their uniquely human capabilities while navigating this technological transformation with confidence and responsibility.

Full Research: 2025 AI Literacy Whitepaper

What does your AI literacy journe

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LinkedIn expert Wally McCarthy joins us to provide insights into the ever-evolving landscape of social media and brand building. Discover how LinkedIn has transformed from a static platform to a dynamic space powered by AI and video, creating unique opportunities for personal and business growth. 

We challenge the notion that it's too late to start building your brand on social media. Wally and I share proactive strategies for navigating LinkedIn, emphasizing the critical importance of authentic interactions over impersonal cold pitches.

Learn how fostering genuine relationships with influential figures can enhance your professional presence and prepare you for future career transitions.

Building a personal brand on LinkedIn is essential in today’s digital landscape, where consumers control the narrative. Wally McCarthy shares strategies on optimising profiles, creating authentic content, and establishing meaningful connections for professional success.

• Transition from traditional media control to consumer-driven narratives
• Importance of being proactive in building a personal brand
• Strategies for engaging influential figures on LinkedIn
• Finding your authentic voice to create resonant content
• Focus on meaningful engagement over chasing virality
• The necessity of profile optimisation for visibility
• Using multimedia effectively to enhance engagement
• Navigating the risks of AI-generated content for authenticity
• Emphasis on the lasting value of genuine networking

Your network is your net worth, so control your own message and maximise your opportunities.

Tune in as we explore the essence of finding your true voice on LinkedIn by focusing on passion, expertise, and knowledge. Rather than chasing fleeting viral moments, we stress the value of consistent, meaningful interactions that build a robust network. 

Your LinkedIn profile is your digital handshake, and we explore how to optimize it for success by crafting compelling headlines and engaging content. 

With tips on using diverse content types like videos, carousels, and text posts, learn to maintain audience interest and showcase your expertise effectively. Let us guide you in transforming LinkedIn into a powerful tool for insights, networking, and opening doors to new opportunities.

Links to get to Wally:

LinkedIn: Wally McCarthy 📢 | LinkedIn

Website www.wallymccarthy.org 

LinkedIn Profile Checklist https://wally-mccarthy-linkedin-strategist.kit.com/188141400b

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The technological revolution rapidly transforming our world isn't just about faster computers or better smartphones it's fundamentally altering the materials that make up our reality. 

Using the Dubai Future Foundation's ground breaking megatrends report as our roadmap, I then used Google NotebookLM AI to create a podcast version to take you on a fascinating journey through the ten forces reshaping humanity's future.

Discover how nature's billions of years of evolutionary design are inspiring revolutionary innovations through biomimicry. 

Wind turbine blades modeled after humpback whale fins can increase efficiency by 30%, while the Namib Desert Beetle's remarkable shell is teaching us how to harvest water from fog in arid regions. These nature-inspired technologies could generate $1.6 trillion in economic benefits by 2030.

We venture into the mind-bending realm of quantum materials, where the rules of ordinary physics break down, enabling computational feats previously deemed impossible. With quantum computing projected to become a $2 trillion market by 2035, discover how these technologies will revolutionize everything from drug discovery to climate modeling.

The conversation takes unexpected turns as we explore acoustic AI that can "listen" to ocean health, the emergence of humanoid robots projected to become a $66 billion industry by 2032, and the ethical dimensions of AI personhood. We examine how 6G technology will transform connectivity, while contemplating the cybersecurity challenges that accompany our increasingly interconnected world.

Beyond the technological marvels, we grapple with profound questions about humanity's future. How do we balance technological advancement with environmental stewardship? How will the relationship between humans and increasingly autonomous machines evolve? What role will creative economies play in shaping our values and purpose?

This deep dive reveals how these megatrends are profoundly interconnected, forming a complex web that will determine our collective future. The choices we make today will echo through generations—join us as we explore this pivotal moment in human history.

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Can a virtual assistant truly revolutionize the way we interact with technology?

Join us as we welcome Alan Bekker, CEO of eSelf.AI, who has been blazing trails in the AI landscape. From his academic roots in machine learning to the founding of Voka, a pioneer in human-like voice bots later acquired by Snapchat, Alan's journey is nothing short of insightful.

The episode explores the transformative power of AI in creating multilingual virtual assistants that deliver human-like experiences. Alan Becker shares insights into integrating these technologies into businesses, overcoming user perceptions, and optimising for quick ROI.

Topics:

• Rise of AI-powered voice and visual agents
• Importance of integrating AI with existing systems
• Multilingual capabilities enhancing customer interactions
• Visual engagement as a key to effective communication
• Common pitfalls in implementing AI solutions
• Future trends in AI applications and adoption

We dive into the innovations driving eSelfAI's face-to-face visual conversational AI engine, which is transforming industries by providing real-time, multilingual AI agents.

Alan offers us a glimpse into the future of customer interactions, especially how these intelligent agents are setting new standards in sectors like finance and education.

Explore the ground breaking ESOF product from eService, which is redefining customer engagement by integrating AI with business systems. 

Discover how businesses can enhance their operations with customizable AI agents that offer 24/7 multilingual support, seamlessly connecting with CRM systems for real-time data access. 

We also tackle the ethical challenges of crafting human-like AI interactions, focusing on the importance of visual engagement in creating natural and engaging user experiences. 

Whether it's through facilitating smooth transactions or offering comprehensive customer journeys, eSelfAI's technological advancements promise to enhance satisfaction and set new benchmarks in AI-driven customer service.

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Generative AI is revolutionizing banking at breath-taking speed, with 96% of institutions worldwide already implementing this technology say NTT Data in their excellent report 'Intelligent banking in the age of AI - how GenAI will shape the future of payments, wealth management and fraud prevention'.

Don't have time to read their 37 page report then listen into my GoogleNotebookLM generated interview version.

The document "Intelligent Banking in the Age of AI" explores the integration and impact of Generative AI (GenAI) within the banking sector. It presents findings from a study of global banks, highlighting GenAI adoption rates, investment trends, and strategic priorities. The report examines how GenAI is transforming payments, wealth management, and fraud prevention, with regional variations in implementation. 

It further addresses the challenges of integrating GenAI, including financial constraints, security concerns, and regulatory compliance. The document emphasizes the importance of strategic partnerships and collaborative AI-human workflows in realizing GenAI's full potential to enhance efficiency, customer experience, and security. 

The sources listed include news articles that cite use of AI by UBS and Morgan Stanley, as well as an NTT Data article on leading business with GenAI.

Unlike traditional AI systems, GenAI works with both structured and unstructured data to understand and generate human-like content—making it a game-changer across the financial services landscape.

The adoption rate has skyrocketed from 45% to 58% globally in just one year, with fascinating regional variations in strategy. American and Asian-Pacific banks view GenAI primarily as a competitive advantage in a race to market with innovative solutions. 

European institutions focus more on internal productivity gains, while an astounding 83% of Indian banks anticipate GenAI enabling straight-through processing of payments with minimal human intervention.

We explore GenAI's transformative impact across three critical domains. In wealth management—currently the sector with highest adoption at 67%—GenAI is streamlining client onboarding, delivering hyper-personalized investment recommendations, and empowering human advisors to focus on relationship-building rather than administrative tasks. 

For payments, GenAI optimizes working capital, improves cash flow forecasting, and enables innovations like UBS's instant credit decisions for small businesses. Most critically, GenAI-powered fraud detection systems achieve 85-90% accuracy rates, significantly outperforming traditional methods while analyzing transactions in real-time.

Despite these advantages, banks face substantial implementation challenges. The primary obstacles aren't technological but financial and organizational—requiring significant investment, regulatory compliance, and cultural change management. Most institutions are taking a phased approach with small pilot programs while partnering with external experts. The most successful implementations view GenAI not a

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TLDR:

AI agents are changing business, enhancing productivity and efficiency across various sectors. In this talk we explore:

• Key trends driving AI adoption in different industries 
• Difference between agent frameworks and platforms 
• Use case: automating HR tasks with AI agents 
• Challenges in integrating AI with existing systems 
• Essential components for a successful agent strategy 
• Future predictions for AI adoption in business 
• Getting started with building your own AI agents 

Podcast:

Ever wondered how AI could revolutionize your business operations?

Meet Siva, the founder and CEO of Lyzr.ai, who shares insights on the impact of AI agents in today's business landscape. Discover how Lyzr.ai's platform empowers both tech-savvy developers and everyday users to craft AI agents that tackle mundane tasks, boosting productivity and cutting down on distractions.

Siva dives into the trends pushing AI adoption to new heights, especially in areas like customer service, sales, marketing, and HR, and unveils fascinating applications in banking and airlines. 

Gain clarity on the difference between agent platforms and frameworks, and learn how AI agents can integrate effortlessly with existing systems to deliver personalized customer experiences.

Join us as we explore the strategic deployment of AI agents in complex scenarios, like merger and acquisition analysis for large conglomerates, offering a cost-effective edge over traditional methods. 

Hear how small and medium businesses are leading the charge in AI integration, driven by their quest for affordable efficiency. 

By 2027, anticipate a landscape where AI manages a significant slice of organizational functions, transforming sectors like HR, sales, and customer support. 

Siva also shares a compelling narrative of AI agents conducting unbiased exit interviews, revealing their potential to enhance business processes without replacing existing systems. 

Tune in for an eye-opening discussion on the future of enterprise automation with AI.

Visit lyzerai.com for more information on agentic AI solutions.

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Exploring the cutting-edge world of generative AI in procurement offers both opportunities and challenges for today's businesses. In our latest episode, we sit down with procurement strategy consultant Paul Malott, who shares his poignant insights into how artificial intelligence is redefining traditional procurement roles. 

Generative AI enables tasks that range from automating invoicing to proactively managing supplier risks, transforming mundane processes into streamlined systems that significantly improve operational efficiency.

Paul breaks down the complexity of implementing AI, highlighting misconceptions that often cloud its perception. 

Rather than being a magical solution, AI should be seen as an incredibly powerful tool that can only be effective when used with a clear strategy. Understanding the technological landscape, coupled with the ethics of AI use, is vital for professionals as they navigate this new terrain. 

Through a candid discussion, we also reflect on how generative AI could pave the way for a future where supply chains become increasingly autonomous, relying less on human intervention. This prospect not only raises crucial questions about the implications for employment and decision-making but also suggests exciting possibilities for enhancing our work-life balance.

If you’re keen to gain a comprehensive understanding of how generative AI can be harnessed in procurement and what it means for the future, this episode is not to be missed. 

Equipped with practical advice and thought-provoking insights, Paul’s expertise can help you make informed decisions about adopting AI technologies in your own organisation. Don't forget to subscribe, share, and leave a review to help us reach more listeners curious about the impact of AI on business!

Links to Paul:

https://beacons.ai/automations24

https://www.linkedin.com/in/paul-malott/

www.sourceflo.ai

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AI's Transformative Impact: Navigating Ethics, Innovation, and Workforce Evolution

Discover the trailblazing world of artificial intelligence with us and our esteemed guest, Kieran Gilmurray, a senior analyst, renowned AI author, and thought leader. 

We’ll unravel the seismic shift AI is creating in the tech industry, spotlighting Deep Seek's cost-effective AI assistant that has sent shockwaves through the stock market, challenging tech titans like Nvidia. 

Meanwhile, we explore the geopolitical theatre with President Trump's ambitious $2 trillion investment in AI, positioning the US in a fierce rivalry with China, while Microsoft makes bold commitments of its own.

Join our compelling conversation as we confront the ethical dilemmas and potential benefits of AI development. We’ll dive into the contentious AI arms race, urging a shift away from competitive national interests towards responsible innovation that bridges cultural divides and fosters trust. 

Privacy issues come under the spotlight, highlighted by a lawsuit against LinkedIn, as we stress the importance of learning from history to avoid repeating the Cold War’s isolation and mistrust.

As technology reshapes the work landscape, we explore the transformations spurred by AI and remote work. Employees are seeking meaningful work and balance, while businesses adapt to a gig economy accelerated by the pandemic. 

Learn how generative AI is rewriting workforce expectations and offering unprecedented avenues for entrepreneurship, breaking down traditional barriers like capital and experience. Whether you’re an entrepreneur or an employee, embracing adaptability and technological advancements is key to thriving in a rapidly evolving digital age.

Read my article : The One-Person, One-Billion Dollar Business to learn how to create a business in 2025.

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What if AI could turn every student into a lifelong learner? Explore the transformative possibilities of AI in education with us, as we navigate the complex landscape where technology meets learning. We (my AI) promise you'll gain insights into how AI is reshaping classrooms by shifting the focus from rote memorization to fostering critical thinking and digital literacy. 

Uncover the concept of AI-generated content as "digital plastic," with its potential to mould education while also recognizing the pitfalls of misinformation and bias. We examine the rise of personal learning systems, spotlighting both their promise and the vital need for genuine human interaction to guide students through this AI-driven era.

Discover how AI can act as a personalized tutor, crafting unique learning experiences that cater to individual styles and needs. We delve into the ways AI aids teachers by automating tasks like grading and providing detailed feedback, allowing more time for human-centric interactions. 

The episode highlights AI's potential to create more inclusive classrooms, supporting students from diverse backgrounds, including those who are English language learners or have disabilities. 

Join us as we stress the responsible use of AI, acknowledging its limitations and biases, and emphasize ongoing professional development for educators. 

This episode is a reflection on the evolving role of teachers, paralleling past technological shifts with today's AI advancements, and reaffirming the irreplaceable role of educators in guiding students through these changes.

Topics Covered.

• Discussion on AI's potential as a tool in education
• Redefinition of learning skills in the presence of AI
• The analogy of AI-generated content as "digital plastic"
• Importance of digital literacy for students in an AI-driven world
• AI's ability to create personalised learning paths
• Equity issues surrounding access to AI technologies
• AI's role in supporting, not replacing, teachers
• Emphasis on teacher professional development and agency
• Need to address academic integrity with AI tools
• Shift towards authentic assessments over traditional testing
• Consideration of ethical issues and frameworks for AI in schools
• Reflection on finding balance between technology and human qualities in education

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Unlock the secrets of the quantum revolution with us as we explore how these groundbreaking technologies promise to reshape industries and redefine our future. What if quantum computing could lead to unprecedented breakthroughs in drug discovery or transform the logistics industry overnight? Join our conversation as we navigate the emerging quantum economy, dissecting the potential and pitfalls of quantum computing, sensing, and communication. We balance excitement with realism, addressing the technical challenges and the critical shortage of skilled professionals. Our episode emphasizes the delicate interplay between intellectual property rights and the need for international collaboration, ensuring these advancements benefit society at large.

In the second part of our discussion, we turn our gaze to the sweeping changes quantum technologies could bring to sectors like finance, healthcare, and telecommunications. Imagine quantum algorithms enhancing credit card fraud detection or revolutionizing secure communications – the possibilities are endless. We delve into the ethical considerations of this quantum leap, pondering how it might redefine what it means to be human in an age where technology and consciousness intertwine. Listen in as we stress the importance of staying informed and preparing for this quantum future, encouraging everyone to engage with educational resources and contribute to shaping a responsible technological landscape.

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Unlock the secrets of AI's transformative power with us as we explore its vast potential to revolutionize industries by 2025. Ever wondered how AI can enhance rather than replace human expertise? We'll show you real-world examples, like Chevron's innovative AI-powered hiring platform that saves millions, demonstrating how AI is truly reshaping the business landscape. 

From telecommunications to manufacturing, discover the staggering $630 billion investment trajectory predicted by 2028 and what it means for sectors like healthcare and financial services. 

Our AI generated conversation is guided by insights from the World Economic Forum and Accenture, who cast AI not just as a tool but as a pivotal force in solving global challenges like climate change.

Join us as we navigate this AI revolution, focusing on the ethical and responsible development of AI technologies. We delve into AI's role in renewable energy optimization, smarter factory production, and even early cancer detection with synthetic biopsies. 

We challenge you to reflect on your part in shaping AI's future, encouraging thoughtful engagement with its opportunities and potential pitfalls. As we journey through AI's evolving landscape, take a moment to consider the profound implications of this technology on society and how you can contribute to a better, AI-empowered future.

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