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How can something as simple as returning a lost item transform customer experience and brand loyalty? In this episode of Tech Talks Daily, I sit down with Skyler Logsdon, CEO & Co-founder of Boomerang, to explore how his company is redefining the lost & found process through AI-powered automation. Boomerang isn’t just helping businesses return lost belongings—it’s turning those moments of frustration into powerful customer engagement opportunities.
With major brands like Wells Fargo Center, Universal Studios, and top MLB & NFL teams using Boomerang’s platform, lost & found has become more than just an operational challenge—it’s a differentiator in customer experience. Skyler explains how AI-driven matching streamlines the process, reducing the burden on businesses while dramatically increasing the chances of reuniting customers with their valuables. But more than efficiency, it’s about trust. Every successfully returned item creates a meaningful connection between a business and its customers, reinforcing loyalty in a way that no marketing campaign can.
We also discuss how Boomerang’s rapid expansion is building a global network of trust. From sports stadiums to theme parks and hotels, businesses are recognizing that lost & found is no longer just a back-office function—it’s a key touchpoint in the customer journey. Looking ahead, Skyler shares how Boomerang plans to scale its impact in 2025 and beyond, with the goal of making lost item recovery seamless across industries worldwide.
How can businesses turn small moments of frustration into lasting customer loyalty? And what role does AI play in creating frictionless, trust-building experiences? Tune in to hear how Boomerang is revolutionizing lost & found and changing the game for customer experience.
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How can AI drive the next wave of innovation in healthcare while ensuring trust, security, and compliance? In this episode of Tech Talks Daily, I sit down with Rajan Kohli, CEO of CitiusTech, to explore how agentic AI is reshaping healthcare.
From personalized patient care to streamlining clinical workflows. As AI systems take on more decision-making responsibilities, the challenge is not just about advancing technology but ensuring it operates transparently, ethically, and securely.
Rajan shares insights into the biggest trends shaping healthcare technology in 2025, including the resurgence of value-based care, the shift toward on-demand personalized healthcare, and the urgent need to break down data silos for better insights. With agentic AI moving beyond passive data analysis to active decision-making, we discuss how it can improve efficiency, support medical professionals, and transform everything from diagnostics to patient engagement.
But with these advancements come critical concerns. How do we ensure that AI-driven decisions are explainable and auditable? How can organizations comply with stringent healthcare regulations like HIPAA and GDPR while leveraging AI to enhance care delivery? Rajan breaks down the key trust-building frameworks needed to make AI adoption both responsible and effective.
We also dive into real-world use cases, such as AI-powered virtual agents that support medication adherence, optimize clinical trials, and even assist with claims processing. These applications demonstrate how AI can ease the burden on healthcare providers while improving patient outcomes.
However, cybersecurity remains a major challenge, with the healthcare industry increasingly targeted by data breaches and cyber threats. Rajan explains how leaders can strengthen AI security, prevent data manipulation, and implement strong governance models to mitigate risks.
As healthcare undergoes a massive digital transformation, what will it take to balance AI innovation with the ethical and regulatory demands of the industry? And how can AI truly enhance—not replace—human expertise in healthcare? Tune in to hear Rajan Kohli’s expert perspective on the future of AI-driven healthcare.
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How can businesses stay ahead of the rapidly evolving risks of AI-driven fraud? In this episode of Tech Talks Daily, I sit down with Bradley Niedzielski, Audit & Assurance Partner, Digital Transformation at Deloitte, to explore the growing threat of generative AI in financial fraud and how organizations can strengthen their defenses.
With deepfake technology, synthetic identities, and AI-generated forgeries becoming more sophisticated, traditional fraud detection methods are struggling to keep up. Deloitte projects that AI-driven fraud losses in the U.S. could reach $40 billion by 2027—more than tripling from 2023.
Bradley shares insights from Deloitte’s latest research, including a startling statistic: over 25% of businesses have already faced a deepfake financial fraud attack, and more than half expect these threats to escalate within the next year.
Despite this growing concern, only 7.4% of companies prioritize technology as their primary defense, and less than half feel confident in their ability to combat AI-powered fraud. So, what’s holding them back? And what steps should organizations be taking right now to strengthen their fraud risk management frameworks?
We discuss the critical role of AI governance, the importance of transparency in AI decision-making, and why human oversight is still essential—even as AI becomes more autonomous. Bradley also highlights how finance departments increasingly embed AI into their workflows, from automating financial close processes to leveraging AI-driven scenario planning. But as AI becomes a core part of financial operations, ensuring data integrity and preventing blind trust in AI-generated outputs is more critical than ever.
Beyond risk mitigation, we explore how businesses can prepare their teams for the AI-driven future. Bradley shares best practices for upskilling finance professionals, fostering a culture of innovation, and ensuring AI adoption aligns with broader organizational goals. With AI reshaping finance functions at an unprecedented pace, how can companies implement it securely while maintaining regulatory compliance and operational efficiency?
As generative AI continues to disrupt the financial landscape, how can businesses balance innovation and risk management? And what strategies will define the next generation of AI-powered finance operations? Tune in to hear Bradley Niedzielski’s expert take on navigating the opportunities and challenges of AI in finance.
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What does the future of work look like in an era of hybrid models and AI-powered collaboration? In this episode of Tech Talks Daily, I sit down with James Campanini from Logitech to explore how workplace technology is evolving to empower productivity, foster inclusivity, and reshape how we think about collaboration—beyond office walls.
For over 45 years, Logitech has connected people to the digital world, from early peripherals like mice and keyboards to today's advanced video conferencing and AI-driven solutions.
James shares how Logitech's approach to hybrid work isn't about forcing employees back into the office but rather about ensuring that work happens effectively—whether in an office, at home, or on the move. Businesses focusing on how people work rather than where they work are seeing higher engagement, reduced burnout, and better overall productivity.
We also dive into AI's role in Logitech's innovations for years, from intelligent camera systems that automatically adjust lighting to noise-canceling technology that ensures remote workers are heard as clearly as those in the room.
As AI continues transforming business operations, James explains why it's not about replacing human decision-making but optimizing workflows, reducing time spent on repetitive tasks, and making meetings more inclusive for everyone—regardless of location.
Beyond technology, we discuss a growing concern in the corporate world: employee monitoring. With increasing companies turning to surveillance tools, Logitech advocates for a different approach—focusing on presence rather than policing. By equipping teams with the right tools, organizations can create an environment of trust and collaboration rather than scrutiny and micromanagement.
We also explore real estate trends as businesses rethink office spaces, shifting from rows of desks to more flexible, multi-purpose environments that better support hybrid collaboration. What's the right balance between in-person and remote work? And how can technology ensure all employees have an equal seat at the table—physically and digitally?
With AI reshaping the way we work and businesses needing to do more with less, how can organizations create productive but also inclusive and engaging workplaces? Tune in to hear how Logitech is leading the way in redefining the future of work.
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How can businesses deploy AI with full transparency, accountability, and trust? In this episode of Tech Talks Daily, I sit down with David Villalón, co-founder of Maisa AI, to explore how their agentic AI technology is transforming enterprise decision-making. With many organizations still hesitant to integrate AI due to concerns over trust, hallucinations, and lack of explainability, Maisa has taken a different approach—ensuring full traceability in AI-driven processes.
David introduces Maisa's Vinci KPU and its "Chain-of-Work" concept, which moves beyond traditional generative AI models to create structured, deterministic decision-making processes. Unlike black-box AI systems that provide probabilistic answers, this approach allows organizations to see exactly how AI reaches its conclusions, making compliance and regulatory approval far more achievable. We discuss why this is a game-changer for industries like finance, oil & gas, and automotive—sectors where AI decisions carry high stakes and require robust governance.
With AI agents becoming increasingly autonomous, businesses must balance efficiency and oversight. David explains how Maisa's model allows for independent AI operation while ensuring humans remain in the loop for critical decision-making. He also shares best practices for mitigating AI-related risks, including financial losses and reputational damage, through governance frameworks and real-time intervention capabilities.
Beyond today's AI applications, we look at the bigger picture—how agentic AI reshapes leadership and organizational structures. As AI takes on more operational tasks, leaders are shifting from hands-on execution to managing networks of AI-powered "digital knowledge workers." What does this mean for the future of work? How will businesses adapt to remain competitive in an AI-driven economy?
Looking ahead, David shares his insights on the biggest opportunities and challenges facing AI adoption over the next five years. With AI evolving rapidly, how can companies future-proof their AI strategies while maintaining trust and control? Tune in to hear how Maisa is pioneering a new era of AI-powered decision-making.
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Are you getting what you need from Tech Talks Daily? Or is there something missing? In this episode, I’m stepping back from interviews to check in with you—my incredible listeners.
I know I’m guilty of keeping my head down, recording back-to-back conversations, and pushing out episodes without stopping to ask: What do you want to hear more of? What should I cover less? Are there industries or tech trends you think deserve more attention?
This show is all about exploring the impact of technology in and outside the workplace, breaking down the ROI and measurable impact of every innovation in a way that everyone can understand. But I want to make sure I’m asking the right questions and featuring the right voices.
So, tell me—what’s on your mind?
I’m also taking Tech Talks Daily on the road! If you’re attending IGEL Now & Next 2025 in Miami or the Qualtrics X4 Summit in Salt Lake City or the Bay Area, why not grab a coffee or a beer and chat in person?
Beyond the podcast, I work with businesses, leaders, and brands to help them share their stories—whether through thought leadership blogs, ghostwriting, or launching their own podcasts. If time constraints have been holding you back from stepping up your content game, let’s talk.
So, what do you think? What’s next for Tech Talks Daily? What trends should I chase down? Who should I be speaking with? Let’s make this a two-way conversation. Reach out, and let’s make it happen.
I’m listening. Are you in?
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How can brands leverage emerging technologies to drive real business results? In this episode of Tech Talks Daily, I sit down with Sarah Salter, Global Head of Innovation and Platforms at Wavemaker, to explore how companies can move beyond hype and apply AI, AR/VR, and other innovations in ways that truly engage consumers and deliver measurable impact.
With a background spanning 15 years and work on groundbreaking projects for brands like P&G, Nationwide, and the NHS, Sarah brings a unique perspective on digital transformation across industries.
Innovation isn’t about chasing trends—it’s about solving real business challenges. Sarah shares how Wavemaker helps brands set clear KPIs and use emerging tech strategically, from AI-driven personalization to immersive brand experiences in gaming and the metaverse. We discuss key lessons from major tech initiatives, including the NHS’s COVID-19 WhatsApp response and Nationwide’s Local Voices campaign on Alexa and Google, and how these projects balanced agility, accessibility, and meaningful engagement.
As AI continues to reshape marketing, brands are navigating a shift from interruptive ads to participatory experiences. Sarah highlights how companies like L’Oréal and Dove are leading with AI-driven campaigns and why gaming is becoming a major frontier for brand engagement. But with rapid technological change comes challenges—how do businesses keep up, invest in the right skills, and ensure innovation stays inclusive?
A passionate advocate for diversity in tech, Sarah also shares her thoughts on why diverse teams lead to better innovation and why the industry must do more to support women in leadership. From fostering STEM education to initiatives like WPP’s Back in the Game, she discusses what’s needed to build a more inclusive future in technology.
How can brands use technology to connect with audiences in more meaningful ways? And what does the future of immersive, AI-powered marketing look like? Tune in to hear Sarah Salter’s insights on the next era of brand innovation.
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How can AI transform project management without adding unnecessary complexity?
In this episode of Tech Talks Daily, I sit down with Miya McClain, VP of Product Management at Smartsheet, to explore how embedded AI tools are reshaping the way teams collaborate, manage data, and deliver successful projects.
With an engineering background and deep product expertise, Miya shares how Smartsheet is tackling some of the biggest challenges in project management, from data overload to team burnout.
AI in project management isn't about replacing human decision-making—it's about enhancing it. Miya explains how Smartsheet’s AI-driven insights help teams cut through the "data mess," turning scattered information into clear, actionable intelligence. With 63% of eligible Smartsheet plans already leveraging AI tools, businesses are seeing improved efficiency, better decision-making, and a significant reduction in manual work.
We also discuss how AI can proactively identify risks before they derail a project, providing managers with real-time visibility into potential roadblocks. This not only minimizes stress but also helps teams stay on track without last-minute scrambles. And as AI continues to evolve, Miya shares her perspective on the future of agent AI—where technology doesn’t just analyze data but also recommends the best projects to tackle, assigns the right people, and even personalizes onboarding experiences.
But as AI adoption grows, so do concerns about responsible use. Miya highlights Smartsheet’s commitment to data security, ensuring customer data is never co-mingled or used for training. She also debunks common AI myths, explaining why project managers remain vital, even as AI takes on more of the repetitive tasks.
With AI poised to redefine project management, how can businesses ensure they’re using it strategically and responsibly? And what does the future hold for AI-powered collaboration? Tune in to hear Miya McClain’s insights on the evolving role of AI in the workplace.
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What is the future of document generation in 2025, and how should businesses navigate the risks of AI? In this episode of Tech Talks Daily, I sit down with Christian Lund, co-founder of Templafy, to explore how AI-powered document automation is reshaping productivity, compliance, and security in modern enterprises.
As companies push for greater efficiency, many are adopting AI tools to streamline workflows. But AI's effectiveness depends heavily on context—and context is something you can't always rely on users to provide.
Christian shares why most people approach AI like a search engine, entering a handful of keywords and expecting the right results. But would you brief a colleague with just a few disjointed words? Better briefs lead to better outputs, whether you're working with humans or AI.
This is where Templafy steps in, delivering AI-powered document generation solutions that integrate seamlessly with platforms like Microsoft Office, Google Workspace, and Salesforce. Trusted by over 800 enterprises, including KPMG, BDO, and Adobe, Templafy automates document creation while maintaining compliance and brand consistency—saving employees up to 30 days per year.
We also dive into why the best automation happens when humans are less involved. Far from sidelining human input, this approach reduces compliance risks and frees employees to focus on high-value work that drives business growth.
Christian explains how Templafy orchestrates AI models, data sources, and workflows to ensure optimal outcomes, from sales collateral to RFP responses. Plus, we explore future trends, including AI agents and stronger orchestration that allows businesses to stay in control of AI-powered processes.
How can businesses balance the push for faster workflows with the need for secure, compliant documents? And what role will AI agents play in tomorrow's document generation landscape? Tune in to discover how Templafy is paving the way for smarter, safer automation.
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Are we ready for a hedge fund world where machine learning guides trading decisions and data scientists outnumber traditional traders? In this Tech Talks Daily Podcast episode, I sit down with Gary Collier, CTO of Man Group, to find out.
Man Group traces its roots back more than two centuries to its days supplying rum, yet it now stands at the forefront of AI-driven finance. Gary explains how the firm’s open-source platforms, Alpha and Rosa, power everything from signal generation to automated execution, all while keeping a firm grip on the art of human oversight.
I found it intriguing how their internal ManGPT system used by over half the organization proves that large language models and neural networks aren’t just hyped. They’re part of daily operations in purely systematic strategies and supporting discretionary portfolio managers who want real-time insights from a sea of unstructured data. We also explore ArcticDB, Man Group’s open-source data science database, enabling it to process billions of rows quickly. Gary argues that without this kind of data infrastructure, AI research stalls under the weight of time-consuming manual tasks.
Throughout our conversation, Gary shares how his hobbyist coder and physicist background influences a data-first culture. It was fascinating to hear how he believes AI could soon disrupt creative aspects of quantitative research, allowing advanced models to generate strategy ideas rather than simply refining existing ones. At the same time, he underscores the importance of transparency. In a world where billions in assets are at stake, pure black-box automation doesn’t cut it, and teams need to explain how trades are executed and why the data looks the way it does.
From front-office analytics to deep research projects, it’s clear that AI pulses through Man Group’s veins. Still, Gary reminds me that people remain vital for framing the right questions and deciding when to trust the outputs. Will AI become the main engine of future hedge fund strategies, or will human ingenuity continue to guide our biggest calls on the market? And how will your organization embrace the growing tide of machine-led innovation?
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Is your organization prepared for an era in which AI does more than just offer a helping hand, but actively partner with human teams? In this episode of the Tech Talks Daily Podcast, I sit down with Randy Weakly, Chief AI Architect at ImageSource, to explore the fast-changing world of agentic AI and how it’s shaping the future of intelligent automation.
After years of working in fields ranging from aerospace engineering to NASA, Randy now leads the AI efforts at ImageSource, a company that has spent decades refining enterprise content and customer experience products. He shares how ImageSource incorporates natural language processing and computer vision to manage documents across finance, healthcare, and government, showing how AI can tackle everything from scanning hundreds of forms to transcribing hours of audio.
Randy highlights the importance of a human-in-the-loop approach, insisting that while AI can automate countless tasks, oversight keeps projects accurate and ethically grounded. He talks about ImageSource’s “AI Empowerment Blueprint” for organizations that want to integrate AI responsibly, stressing that governance frameworks are no longer optional.
I found it enlightening to hear about their journey toward hyperautomation, where agentic AI agents might soon perform tasks with minimal human input. Randy believes that by 2025, this approach will redefine how businesses operate, allowing enterprises to reshape processes, save time, and uncover fresh opportunities for growth.
We also discuss how AI can occasionally surprise us by performing advanced tasks one moment and stumbling on simpler ones the next.
That variability drives the need for codified workflows and oversight, especially when security and ethics hang in the balance. Listening to Randy’s vision, I was struck by how he sees the biggest opportunities for AI in the next three to five years: from boosting routine workflows to powering new products and services that haven’t even been imagined yet.
Will your business embrace agentic AI and the promise of human-machine collaboration, or will you wait until these intelligent systems become the norm?
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What will the future of AI accessibility look like when Big Tech no longer dominates the infrastructure? In this episode of Tech Talks Daily, I explore this question with Dr. Seena Rejal, the Chief Commercial Officer at NetMind.AI. Seena brings over 15 years of experience in deep tech ventures across the US and UK. As a two-time founder, investor, and now CCO of NetMind.AI, his mission is clear: democratize access to AI by breaking the centralized control of high-performance computing.
NetMind.AI is pioneering a decentralized GPU computing platform through its blockchain-enabled NetMind Power, making AI affordable and accessible for everyone. But how exactly does decentralization level the playing field in an AI landscape dominated by major players? Seena shares his insights on how this approach not only empowers startups and researchers but also tackles some of the industry's most pressing challenges, such as GPU shortages, environmental costs, and Big Tech’s increasing appetite for nuclear energy.
Our conversation explores the growing role of agentic AI and its real-world applications across multiple sectors. How are AI agents enhancing efficiency and transforming decision-making processes? Seena explains why agentic AI could be the next big shift in AI adoption and what businesses need to know to stay ahead. We also discuss recent moves in the semiconductor industry, including Amazon’s efforts to build AI chips designed to rival Nvidia, and what this means for the future of AI infrastructure.
Throughout the discussion, Seena emphasizes the ethical implications of rapid AI advancement. With misinformation and deepfakes becoming more common, how can decentralized, open-source approaches help create a more transparent and secure AI ecosystem? Seena believes that by distributing AI infrastructure and fostering open access, smaller players can compete with big tech giants while promoting ethical standards in AI development.
As AI technology evolves, will decentralization be the key to unlocking its full potential for everyone? What will it take for businesses to embrace this shift? Listen to this insightful conversation and let me know—do you believe decentralized AI is the future?
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Have you ever wondered how technology could help solve the growing challenges in the UK’s water industry? With increasing cost pressures and rising consumer demands, the water sector is at a critical juncture. In this episode of Tech Talks Daily, I’m joined by Sandeep Bhattarai, Utilities Value Advisor at SAP UKI, to explore how digital solutions can help water companies navigate these turbulent times.
SAP’s latest research reveals that 34% of water company leaders are grappling with challenging cost pressures, with 94% believing that investment must rise to meet customer expectations. Sandeep shares his insights into the root causes of these financial strains and how a lack of digital infrastructure is slowing progress. He explains how technology adoption, or the lack thereof, is impacting the industry's ability to meet the stringent requirements of AMP8, a five-year regulatory framework starting in 2025.
As we unpack the complexities of the water network, Sandeep highlights how digital transformation can streamline operations, reduce inefficiencies, and improve service delivery. But can technology truly be a silver bullet? Sandeep addresses this question head-on, offering practical solutions for overcoming the skills gaps, operational silos, and knowledge barriers that continue to hinder digital adoption.
Looking ahead, we discuss what the future holds for the UK water industry post-AMP8. Will the sector embrace the digital revolution required to meet evolving demands? How can leaders harness technology to ensure sustainable growth and customer satisfaction?
Tune in to this conversation and share your thoughts—what role do you think technology should play in shaping the future of water services?
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What does it take to transform a men’s health start-up into one of the fastest-growing digital healthcare providers in the UK? In this episode of The Tech Talks Daily Podcast, I explore this question with Sokratis Papafloratos, founder and CEO of Numan.
Since launching Numan in 2018, Sokratis has overseen its remarkable journey from offering solutions for erectile dysfunction to becoming a full-scale digital healthcare provider supporting over 500,000 patients. The business generated £30 million in revenue in 2023 and more than doubled in 2024, while building a team of over 150 professionals.
But Numan’s evolution isn’t just about scaling services—it’s about leading the future of health tech. Sokratis shares how Numan is setting new benchmarks by integrating AI, predictive analytics, and data science into its operations.
We discuss the company’s latest innovation: the AI Health Assistant, a groundbreaking tool designed to offer personalised, real-time health guidance while adhering to rigorous safety and regulatory standards. This tool, backed by Numan's proprietary Aegis Monitoring System, is redefining patient engagement, ensuring clinical accuracy, and delivering up to 99% clinically reviewed responses.
Sokratis also outlines how AI can provide scalable, personalised healthcare solutions for stigmatised conditions like obesity. With the AI Health Assistant already supporting over 3,000 patients in its beta phase, we discuss how this technology has helped patients collectively lose over 200,000kg. Sokratis explains how Numan’s patient-centred AI approach is bridging critical gaps in healthcare by ensuring safe, tailored support that evolves with patient needs.
We explore Numan’s ambitious plans to launch more AI-driven tools in 2025, aiming to lead the UK’s health tech market and expand globally. Sokratis shares his broader vision for digital healthcare, insights on balancing technology with compassionate care, and the crucial role of AI safety frameworks like ISO42001.
As the digital healthcare landscape continues to evolve, Numan’s journey offers lessons in scaling innovation responsibly while staying patient-focused. How can AI reshape healthcare delivery? What challenges and opportunities lie ahead for health tech? Join us to hear Sokratis Papafloratos share his insights and help us understand how technology is transforming healthcare journeys for millions.
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What happens when AI agents begin to outnumber humans? In this episode of The Tech Talks Daily Podcast, I sit down with Steve Lucas, CEO of Boomi, to explore this thought-provoking prediction and what it means for businesses, the workforce, and society. With extensive experience leading companies through transformative journeys, Steve brings invaluable insights into how organizations can prepare for a future dominated by AI.
Steve delves into the concept of the “AI big bang,” where AI agents are set to fundamentally reshape workforce dynamics and decision-making processes. He highlights how these agents are rapidly evolving, influencing everything from customer service and supply chain management to market analysis. But with this growth comes the pressing need for transparency, explainability, and control. How can businesses avoid being overwhelmed by this AI influx? Steve argues that companies must reimagine work processes and establish robust AI governance frameworks to ensure human oversight and ethical AI deployment.
As AI becomes deeply integrated into everyday business functions, Steve outlines the critical role of protocols for future communication. The rapid evolution of technology requires clear frameworks to enable AI agents to interact in ways we can understand and control. He shares how Boomi is addressing this challenge by developing an AI governance platform designed to help organizations manage agent creation, execution, and compliance effectively.
Steve also reflects on how business leaders can stay ahead in this rapidly changing landscape. With AI set to revolutionize global learning and knowledge accessibility, continuous learning becomes essential. Drawing on advice from industry leaders, Steve emphasizes the importance of dedicating time to understanding AI technologies and using AI itself for personalized learning experiences.
This episode offers a deep look into how AI will shape the future of work, the critical need for governance, and the opportunities and risks that lie ahead. As AI agents become a powerful force in business, how will your organization adapt? Are you ready for the cognitive revolution that’s already underway? Let us know your thoughts after the conversation.
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What does it take to revolutionize the dining experience for a generation that holds $7.6 trillion in annual spending power? As America’s largest contingent of Baby Boomers approaches retirement, the demand for elevated dining in senior living communities has never been higher.
In this episode of Tech Talks Daily, I’m joined by Joseph Cuticelli, CEO of Restaura, a company poised to disrupt the $45.1 billion foodservice contracting industry. Restaura is not just changing what’s on the menu—it’s redefining how technology, data science, and hospitality converge to create personalized dining experiences that cater to the evolving expectations of the Longevity Economy.
During our conversation, Joseph shares how Restaura is setting new industry standards by leveraging artificial intelligence, predictive analytics, and real-time data to gather resident feedback, optimize operations, and reduce food waste.
With dining costs representing up to 20% of a senior living community’s operating expenses, Restaura’s tech-driven insights provide clients with smart dashboards offering real-time KPIs and sentiment analysis, ensuring that resident satisfaction and operational efficiency go hand in hand.
But how does one balance cutting-edge technology with the compassionate care and culinary artistry that residents expect? Joseph explains how Restaura brings together nutrition science and personalized service to address not only the health but also the emotional well-being of residents. We also explore the growing need for tech-enabled responsiveness in senior living, where dining quality is key to attracting and retaining residents.
As the conversation unfolds, we discuss the broader impact of the Longevity Economy and how senior living communities can stay ahead by blending technology with human connection. Is the future of senior dining about more than just food? Could AI and data science pave the way for a more sustainable, personalized approach to care?
Tune in and join the discussion. How do you see technology transforming the way we approach aging and hospitality? Share your thoughts—this is a conversation worth continuing.
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The demand for seamless connectivity continues to grow as industries, businesses, and consumers increasingly rely on digital infrastructure. In today’s conversation, I’m joined by Christian Hillbrandt, CEO of Vantage Towers, to discuss how one of Europe’s largest tower companies is shaping the future of mobile networks.
With 86,000 towers spread across 10 European markets, Vantage Towers is at the center of expanding 5G coverage and enhancing network reliability. Christian shares insights on the progress of 5G rollout across Europe, the challenges of building sustainable and scalable infrastructure, and why connectivity across transportation networks—such as highways, railways, and airports—is becoming a priority.
We also explore the company’s efforts to drive efficiency through shared infrastructure, the shift toward renewable energy, and how Europe’s approach to connectivity compares to the U.S. As the demand for faster, more reliable networks increases, how will companies like Vantage Towers support innovation while ensuring cost-effective solutions?
Join us for a fascinating conversation on the technology that powers our digital world. What role do you think infrastructure providers should play in shaping the future of connectivity? Let us know your thoughts.
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The internet is evolving, but so are the threats that come with it. The latest Bad Bot Report from Imperva, a Thales company, reveals a staggering statistic: nearly 50% of internet traffic now comes from non-human sources, with bad bots making up almost one-third of all online activity.
These bots are no longer just simple scripts running in the background; they have become more advanced, leveraging AI to mimic human behavior and evade traditional detection methods. The consequences? A surge in transaction fraud, web scraping, data harvesting, and account takeovers, affecting industries across the board.
In this episode, I'm joined by Lynn Marks, Senior Product Manager at Imperva, who returns to the podcast to break down the key findings of the 2024 Bad Bot Report. We explore how bot activity is evolving, why businesses need to rethink their approach to security, and what proactive steps can be taken to mitigate these threats.
Lynn explains how attackers are shifting their focus from technical vulnerabilities to exploiting business logic, making it increasingly difficult for companies to detect and prevent malicious activity.
We also discuss the growing security challenges surrounding APIs, which have become prime targets for cybercriminals. With half of all account takeover attacks now targeting APIs directly, organizations need better visibility and stronger protections in place to defend against automated threats. Lynn shares insights on why industries like gaming and travel are seeing disproportionate bot activity and how businesses can better secure their platforms.
As AI legislation gains momentum worldwide, the conversation around bot management is becoming increasingly complex. How can companies stay ahead of evolving threats while ensuring compliance with emerging regulations? What lessons can be learned from past security failures? And more importantly, how can organizations take a proactive stance in the fight against automated cyber threats?
Tune in for an eye-opening conversation that sheds light on the hidden dangers lurking beneath internet traffic and learn how to better protect your business from the growing wave of automated attacks.
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Are businesses truly prepared for the evolving world of AI regulations? As artificial intelligence continues to reshape industries, organizations face mounting challenges in managing data integrity, balancing compliance with innovation, and ensuring ethical implementation. In this episode, I welcome Juan Orlandini, CTO North America at Insight, to explore the shifting AI regulatory landscape and how companies can navigate the road ahead.
With so much hype surrounding AI over the last two years, many businesses rushed to adopt new technologies, eager to stay ahead of the curve. But as the dust settles, a new focus emerges—responsibility, regulation, and long-term strategy. Juan breaks down AI into three broad categories: creators, adapters, and consumers. Each faces distinct challenges, particularly as global policymakers attempt to establish clear frameworks for responsible AI use. The conversation dives into why businesses should begin by focusing on internal AI applications, where the risks are lower, and the immediate value is more tangible before expanding into customer-facing solutions.
With AI regulations in the US still developing, California is leading the charge at the state level, much like it did with past privacy laws. Juan shares his thoughts on how these early policies could evolve into broader federal frameworks and what lessons the US can take from the European Union’s approach with the AI Act. While regulation may seem like an obstacle, Juan argues that it also presents an opportunity for businesses to refine their AI strategies, ensuring their data assets are leveraged effectively while remaining compliant.
Looking ahead, AI’s role in business will only continue to expand, but how can organizations avoid the pitfalls of past technology trends? Juan offers insights into how companies can take a structured, methodical approach to AI adoption, ensuring they don’t fall into the trap of following trends without a clear purpose. Whether it’s identifying high-value, quick-win AI projects or integrating AI into existing enterprise systems without adding unnecessary complexity, Juan emphasizes the importance of measured, strategic implementation.
The conversation also touches on the broader impact of AI on the workforce, the regulatory challenges that different AI categories face, and how organizations can foster innovation while mitigating risks. As AI becomes more ingrained in daily business operations, understanding the nuances of responsible AI adoption will be critical for companies looking to gain a competitive edge.
Are organizations ready for the realities of AI regulation, or are they still in the hype cycle? And how can businesses strike the right balance between innovation and compliance? Tune in to hear Juan’s expert insights and strategies for navigating the AI-powered future.
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In today’s episode, I welcome Ricardo Ferreira, EMEA Field CISO at Fortinet, to discuss how the UK's proposed Cybersecurity and Resilience Bill compares to the EU's NIS2 directive. Ricardo brings a wealth of experience in cybersecurity strategy and regulation, and he shares why he believes the UK's bill is missing key components that could make it truly effective.
With Brexit allowing the UK to take an independent approach, Ricardo argues that there is a unique opportunity to cherry-pick the most effective elements from NIS2 while avoiding its potential pitfalls. But is the current bill providing enough clarity?
Ricardo highlights how the legislation introduces buzzwords like "digital supply chain" without actually outlining a clear path for addressing cyber threats. In contrast, NIS2 lays out a prescriptive approach that includes risk profiling, supply chain security frameworks, and post-breach recovery strategies.
We also explore the growing need for board-level accountability in cybersecurity. Should executives and directors be held personally responsible for cyber resilience within their organizations? And how can governments ensure that businesses have both the guidance and incentives to proactively address security risks rather than reactively scramble to contain breaches?
With cyber threats only growing more sophisticated, the role of regulation in mitigating risk has never been more important. But does the UK's current legislative approach go far enough? And what lessons can be learned from international frameworks like NIS2?
Tune in for an insightful discussion on the future of cybersecurity policy, where it’s headed, and what needs to change to create truly resilient digital infrastructures. As always, I’d love to hear your thoughts—how should governments balance regulation with innovation in cybersecurity?
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