Tech Talks Network

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Canal • 8 programas

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hace 1 día
Tecnología

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8 jul
Administración

Administración

8 jul
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Economía y empresa

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HACE 1 DÍA

IBM Consulting on Agentic AI and the Reinvention of Business Processes

When AI enters the boardroom, it tends to arrive with big promises: productivity, automation, efficiency. But for Francesco Brenna, Global Leader of AI Integration Services at IBM Consulting, the real opportunity isn’t just faster workflows—it’s rebuilding how business gets done from the ground up. In this episode, recorded in the heat of a New York summer, Francesco joined me to unpack what agentic AI really means for enterprise leaders and why “doing AI right” is about more than picking the latest model. We began by breaking down the term agentic AI, which Francesco defines as the shift from passive assistants to intelligent agents that can actually execute work, not just suggest how to do it. That might sound subtle, but it’s a huge leap. And it’s not one companies can take by simply layering AI on top of broken or inefficient processes. Instead, IBM is helping its clients rethink entire workflows, starting not with the tech stack, but with the business outcome. Francesco explains why data readiness is still the number one challenge. While many companies have talked about modernizing their data foundations, few have done it in a way that supports grounded, contextual, reliable AI agents. He introduces the idea of “data products” as a way to anchor agent behavior in the right context, feeding into IBM’s three-layer model: user experience, orchestration, and data. We also explored the growing role of standards like Model Control Protocol (MCP), which could make secure integration with legacy systems more realistic at scale. Francesco highlights how IBM is addressing access control, security, and governance to ensure agentic systems are not only powerful but also trustworthy and accountable. There’s plenty here for enterprise leaders wondering how to move AI projects out of pilot mode. From real examples in customer service, insurance, and pharma, to IBM’s internal strategies for employee upskilling, Francesco shares what early success looks like and why hackathons, hands-on experience, and human-centered design are critical.

hace 1 día

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26 min
HACE 4 DÍAS

How Nexthink Is Rethinking IT Support with Proactive, AI-Driven DEX

IT support is changing fast, and the old service desk model is starting to feel like a relic from another era. In this episode, I spoke with Samuele Gantner, Chief Product Officer at Nexthink, about what comes next and what companies need to do now to prepare for it. With Nexthink sitting at the forefront of Digital Employee Experience (DEX) technology, Samuele offers a grounded, thoughtful look at what a "ticketless" future might look like. One of the boldest predictions shared is a 90 percent reduction in IT support tickets by 2027. That is not marketing spin. It's a vision rooted in practical shifts toward proactive support, real-time observability, and AI-powered automation. Samuele explains how organizations can move away from reactive models by embracing intelligent agents that solve problems before a ticket is even raised. Instead of asking employees to fix things themselves, IT support is quietly transforming into something far more sophisticated and intuitive. We talked about what drives this change, from millennial and Gen Z expectations to the technological leap enabled by large language models and automation. Samuele breaks down why old attempts at self-service failed and how today's AI agents are finally equipped to handle objective complexity with empathy, scale, and context. He also shares examples that bring this future to life, including a retailer that avoided a costly outage through predictive alerts, a healthcare provider saving millions through experience-driven device refreshes, and an energy firm preventing disaster in a virtual desktop environment. These are not theoretical case studies. They are live proof that DEX is not just buzz. It works. We also explored what skills IT teams need to thrive in this shift. It is not all about tech. Emotional intelligence, cross-functional collaboration, and a proactive mindset are just as important. Whether you're a CIO or a support engineer, there is something here that will challenge how you think about IT's role in the business.

hace 4 días

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35 min
HACE 2 DÍAS

How Twilio Is Redefining Voice AI for Real-World Customer Support

Voice has always been a powerful way to connect with customers, but until recently, voice AI struggled to deliver the kind of seamless experience we associate with great service. That is starting to change. In this episode, I catch up with Sam Richardson from Twilio to discuss the renewed momentum behind voice AI and what it means for the future of customer experience. Sam explains why voice is gaining relevance again. It is not just because the technology has improved, but because customers still prefer natural conversations when solving problems. According to Twilio’s research, more than half of customers want to know when they are speaking to a bot, while nearly half do not mind as long as their issue gets resolved. That balance is important. It is not about deception. It is about resolving problems efficiently without losing the human touch. We talked about the balance between automation and empathy. Sam emphasizes the importance of escalation paths. When a customer is frustrated, repeating themselves, or directly asking for a person, they should be able to reach one. Without that, companies risk creating what he calls “reality privilege,” where only premium customers receive human support. Voice AI should serve everyone, not create unfair divides. Sam also shared how Twilio is helping businesses adapt without replacing everything. Using API-based tools, companies can integrate voice AI into existing systems. That flexibility matters, especially since 96 percent of Twilio customers are building custom customer experience solutions to fit their specific environments. This is especially relevant in industries like hospitality, retail, and automotive. The early results are promising. Some companies are seeing a 60 to 70 percent increase in call containment and a noticeable drop in contact volume. Customer satisfaction scores have not suffered. Still, Sam is realistic. Long-term impact takes time to measure. The key is testing thoroughly, choosing the right solution, and tracking how customers actually feel.

hace 2 días

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35 min
HACE 5 DÍAS

Veeva Systems and the Future of Agentic AI in Pharma

AI is racing ahead, but for industries like life sciences, the stakes are higher and the rules more complex. In this episode, recorded just before the July heatwave hit its peak, I spoke with Chris Moore, President of Europe at Veeva Systems, from his impressively climate-controlled garden office. We covered everything from the trajectory of agentic AI to the practicalities of embedding intelligence in highly regulated pharma workflows, and how Veeva is quietly but confidently positioning itself to deliver where others are still making announcements. Chris brings a unique perspective shaped by a career that spans ICI Pharmaceuticals, PwC, IBM, and EY. That journey taught him how often the industry is forced to rebuild the same tech infrastructure again and again until Veeva came along. He shares how Veeva’s decision to build a life sciences-specific cloud platform from the ground up has enabled a deeper, more compliant integration of AI. We explored what makes Veeva AI different, from the CRM bot that handles compliant free text to MLR agents that support content review and approval. Chris explains how Veeva’s AI agents inherit the context and controls of their applications, making them far more than chat wrappers or automation tools. They are embedded directly into workflows, helping companies stay compliant while reducing friction and saving time. And perhaps more importantly, he makes a strong case for why the EU AI Act isn’t a barrier. It’s a validation. From auto-summarising regulatory documents to pulling metadata from health authority correspondence, the real-world examples Chris offers show how Veeva AI will reduce repetitive work while ensuring integrity at every step. He also shares how Veeva is preparing for a future where companies may want to bring their LLMs or even run different ones by geography or task. Their flexible, harness-based approach is designed to support exactly that. Looking ahead to the product’s first release in December, Chris outlines how Veeva is working hand-in-hand with customers to ensure readiness and reliability from day one. We also touch on the broader mission: using AI not as a shiny add-on, but as a tool to accelerate drug development, reach patients faster, and relieve the pressure on already overstretched specialist teams. Chris closes with a dose of humanity, offering a book and song that both reflect Veeva’s mindset, embracing disruption while staying grounded. This one is for anyone curious about how real, applied AI is unfolding inside one of the world’s most important sectors, and what it means for the future of medicine.

hace 5 días

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31 min
HACE 3 DÍAS

Bitsight on the Hidden Risks Inside Global Supply Chains

When we talk about cybersecurity, it’s often easy to think in terms of firewalls, passwords, and high-profile breaches. But what happens when the vulnerability isn’t within your own systems but somewhere deep in your third or fourth-tier supply chain? In this episode, I spoke with Ben Edwards from Bitsight about the unseen infrastructure propping up much of the global digital economy and the new risks emerging from it. Our conversation begins by challenging the assumption that larger technology providers are automatically safer. Bitsight’s research reveals that scale often introduces complexity and a larger attack surface, which can make it even harder to stay secure. In fact, UK supply chains are now around 10 percent larger than the global average, reflecting a more advanced digital economy but also introducing more room for hidden weaknesses. One of the most sobering parts of the discussion focused on geopolitics. Around 30 percent of UK and US supply chains rely on Chinese military-linked companies like Huawei and China Telecom. That’s not just a cybersecurity concern. It’s a geopolitical time bomb. Ben broke down the ripple effects that potential restrictions or bans could have, including costs, infrastructure overhauls, and widespread operational disruption. Then there are the “hidden pillars,” smaller vendors like Aptiv and Yardi, which may not be household names but play disproportionately influential roles in sectors like aerospace, education, and real estate. Their obscurity makes them dangerous single points of failure, especially when regional dependencies form without anyone noticing. The bottom line? End-to-end supply chain visibility remains elusive. Shadow IT, employee workarounds, and a constantly shifting tech landscape mean organizations must approach cybersecurity as an ongoing process, not a checklist. Ben urges companies to continually assess the criticality of their providers and, just as importantly, understand their own role in others’ ecosystems. If you’re curious about how internet balkanization, AI, and outsourcing are shaping the next phase of cybersecurity strategy, this episode will give you a lot to think about. Y

hace 3 días

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38 min
10 JUL

Qualys CEO On Risk, AI, And The Future Of Digital Defense

What does it take to build a $100 billion cybersecurity company in today’s cloud-first, AI-infused world? And how do you balance relentless technological change with the practical realities of compliance, risk, and leadership? In this episode of Tech Talks Daily, I sit down with Sumedh Thakar, CEO of Qualys, during his visit to the UK for the company’s QSC conference. From starting out as one of Qualys’ first engineers to leading the company through a new era of risk-centric cybersecurity, Sumedh brings a unique blend of technical insight and lived experience. We discuss why compliance remains such a challenge for enterprises, how the conversation is shifting from attack surfaces to risk surfaces, and why many businesses are overwhelmed by security signals but underwhelmed by strategic clarity. Sumedh shares his view on the growing importance of the Risk Operations Center (ROC) and how AI is complicating risk profiles in new and unpredictable ways. He also reflects on the future of cloud security and why the market remains wide open for innovation, even as it becomes more crowded. Beyond the tech, Sumedh opens up about his personal journey from Pune to Silicon Valley, how a threatened farm purchase changed his life, and why leadership is ultimately a game of time, trust, and communication. He leaves us with a powerful book recommendation, Nonviolent Communication by Marshall Rosenberg, which he credits with transforming his leadership style and helping him build stronger relationships across the board. Are we thinking about risk in the right way or simply throwing money at the latest acronyms? And how do you build a meaningful legacy in cybersecurity without losing sight of the human side? Join the conversation and let me know what resonated with you most.

10 jul

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34 min
11 JUL

How Unilever Is Using AI to Rethink Everyday Essentials

In today’s episode of Tech Talks Daily, I sat down with Alberto Prado, Head of Digital and Partnerships for R&D at Unilever, to explore how one of the world’s largest consumer goods companies is reimagining innovation using AI. And not just in theory or in labs. This is technology already transforming the stuff most of us use every single day. From Dove body wash to Knorr stock cubes, Unilever products reach more than 3.4 billion people globally. That scale makes their R&D choices deeply relevant to how we live. What stood out in this conversation is how deeply integrated AI has become across their research efforts. This isn’t about one flashy pilot project. Unilever currently runs over 400 AI initiatives across areas like microbiome science, biotechnology, and next-generation materials. Each one is focused on improving product performance, making items more sustainable, or creating personalized experiences for consumers. Alberto shared how Unilever’s decades-long microbiome research is being accelerated through machine learning and high-performance computing. With over 30 terabytes of data and more than 100 patents, the company now holds one of the largest collections of human microbiome data in the world. That insight has directly influenced products like Dove and Vaseline and has led to innovations like the POND’S Microbiome Analyzer, which offers personalized skincare recommendations within an hour. In the field of biotechnology, Unilever is working with partners like Arzeda to create enzymes that outperform traditional cleaning agents, all while being more sustainable. A great example is the breakthrough behind RhamnoClean technology in Sunlight dishwashing liquid. By mimicking natural fermentation processes, Unilever can now produce bio-based surfactants that clean effectively, reduce water use, and are kinder to the planet. We also discussed how AI-driven virtual testing is replacing thousands of physical prototypes. This shift is helping Unilever rapidly develop new products like the Wonder Wash laundry detergent and Knorr’s Zero Salt Cube. Alberto explained how digital models can simulate everything from stain removal in different wash cycles to how a cube holds together without salt, long before any physical version is made. And then there’s the R&D Assistant, Unilever’s own AI-powered co-pilot built in partnership with Microsoft. It connects over 150,000 scientific documents from across a century of research, letting scientists query insights in natural language. For Unilever’s 5,000 researchers, it’s not just a time saver. It’s changing how they discover, collaborate, and innovate. This episode is a window into how legacy companies can drive transformation from within. Innovation isn’t just happening in new industries or through startup culture. Sometimes it’s happening inside a washing machine cycle or a bottle of shampoo. So the question is, what can other large-scale enterprises learn from the way Unilever is scaling AI across its entire product development ecosystem?

11 jul

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27 min
9 JUL

Lessons from the Coursera 2025 Global Skills Report

Are we preparing people as quickly as we’re preparing machines? That’s the uncomfortable question at the heart of Coursera’s 2025 Global Skills Report, and the starting point for my conversation with Nikolaz Foucaud, Coursera’s Managing Director for EMEA. As the UK jumps more than 20 spots in global skills rankings and countries like Singapore and Denmark widen the gap with lifelong learning cultures, we explore why mindset may be as important as access when it comes to reskilling for an AI-driven economy. Nikolaz explains how the newly introduced AI Maturity Index reflects the growing urgency around workforce readiness and why governments and employers need to stop thinking in degrees and start investing in micro-credentials that reflect what learners and businesses actually need. We also unpack the gender gap in AI learning, the alarming lack of growth in cybersecurity skills, and why economic pressure often drives the highest levels of completion and success. As institutions, employers, and individuals try to catch up with the pace of technological change, what will it take to build a learning culture that keeps momentum? And are we measuring the right things when we talk about readiness? Let me know what you think.

9 jul

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27 min
16 MAR

How GSK is Speeding up Drug Discovery Timelines With AI

The future of medicine is being shaped by technology, and few companies are pushing the boundaries like GSK. In this episode, I sit down with Christopher Austin, Head of Research Technologies at GSK, to explore how AI, data science, and cutting-edge digital capabilities are revolutionizing drug discovery and development. Chris shares how GSK is harnessing vast datasets, AI-driven insights, and genetic validation to speed up the identification of promising drug targets. We discuss how computational biology and machine learning are dramatically reducing the time it takes to develop new treatments—sometimes cutting discovery timelines in half. From selecting the right molecular designs to improving patient identification for clinical trials, technology is streamlining the entire R&D process, increasing success rates, and ultimately bringing life-saving medicines to patients faster. We also dive into the role of generative AI in modeling diseases, designing antibodies, and optimizing clinical trials. With AI now shaping everything from drug formulation to patient recruitment, we explore what this means for the future of medicine and the ethical considerations that come with such rapid advancements. How will AI-driven drug discovery change the pharmaceutical industry in the next decade? What challenges remain in integrating these new technologies into traditional research models? And what does all of this mean for patients and the future of healthcare? Tune in to hear how GSK is leading the charge in transforming medicine through technology.

16 mar

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37 min
10/07/2024

Inside Asana: The Role of AI in Modern Work Management

Are IT leaders prepared to harness the full potential of AI in today’s fast-paced business environment? In this episode of the Tech Talks Daily Podcast, I sit down with Paige Costello from Asana to explore this intriguing question. Paige, who leads AI strategy at Asana, shares her insights on the evolving role of IT leaders and how Asana's new AI-powered product features are shaping the future of work. As the enterprise work management platform of choice for many Fortune 100 companies, Asana is at the forefront of connecting strategy to execution for cross-functional team collaboration. Paige discusses the significant responsibilities IT leaders now bear, with 77% feeling personally accountable for driving IT transformation and 90% believing AI is crucial for overcoming future business challenges. Yet, a surprising 31% of executives and employees report a lack of a strategic plan for deploying AI within their organizations. We delve into Asana’s innovative approach to AI with the introduction of "AI Teammates," a feature designed to seamlessly integrate AI into workflows. This development leverages Asana’s unique data model, providing contextual accuracy that enhances productivity and decision-making. Paige also shares the future roadmap for Asana, which includes AI-powered reporting, visibility, and goal tracking. Our conversation also highlights the changing dynamics within IT leadership. As AI becomes more integral, IT leaders find themselves increasingly consulted on AI strategy, a shift that brings both opportunities and challenges, such as the need for careful budgeting and managing the pace of AI adoption. Despite the enthusiasm among employees for AI, there remains a disconnect with cautious executives, often due to low AI literacy and a lack of strategic vision. Throughout the discussion, Paige emphasizes the concept of collective intelligence—blending human and AI expertise to achieve superior outcomes. She notes that individuals can be up to 33% more productive when collaborating with AI as a teammate, enabling teams to tackle more complex tasks effectively. Join me in this insightful episode as we unpack the transformative power of AI in IT leadership and explore how tools like Asana are paving the way for smarter, more efficient workflows. How do you see AI reshaping the role of IT leaders in your organization? Share your thoughts and let's continue the conversation.

10/07/2024

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28 min

The Tech Talks Network is a curated ecosystem of podcasts designed to inform, challenge, and inspire business and technology leaders navigating digital transformation. With a growing portfolio of specialized shows, the network brings together diverse voices from across the enterprise technology space—offering nuanced perspectives on the trends shaping our digital future. Whether you're exploring AI integration, cybersecurity strategy, IT infrastructure, or startup innovation, the Tech Talks Network connects you to the insights that matter, from the people making it happen.

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