Episodios
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What happens when an industry as heavily regulated and historically slow-moving as pharma is forced to accelerate digital transformation? In today’s episode, I welcome Florian Schnappauf, Vice President of Enterprise Commercial Strategy at Veeva Systems, to discuss how Chief Digital Officers (CDOs) are reshaping the pharmaceutical landscape and why their role is now more critical than ever.
The pharmaceutical sector faces mounting pressure to innovate faster, manage costs, and compete with digital-first biotechs. Research predicts the industry will spend $4.5 billion on digital transformation by 2030, a shift that has led to the emergence of CDOs in the pharma C-suite. But what does this role actually entail, and how does it help companies navigate the complexities of drug development, clinical trials, and commercialization?
Florian shares insights on how CDOs are not just supporting digital initiatives but actively orchestrating, building, and operating them. From managing the sheer volume of data generated by clinical trials to ensuring that digital tools enhance—not hinder—the drug development process, the CDO is now a key differentiator between industry leaders and laggards. We also explore how effective digital leadership can shorten timeframes from drug discovery to patient treatment, improve communication with healthcare providers, and ultimately ensure that pharma companies achieve more with fewer resources.
With regulatory hurdles, technological advancements, and shifting market dynamics, the pharmaceutical industry is at a pivotal moment. So, what does the future hold for digital leaders in pharma? How will CDOs continue to evolve, and what lessons can other industries learn from their journey?
Join us as we break down the digital transformation of pharma and the leadership required to drive meaningful change. And as always, I’d love to hear your thoughts—do you think pharma is adapting quickly enough, or is there still a long way to go?
Check out the What Pharma Needs Next podcast.
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Workplace productivity is at a crossroads. Despite an explosion of modern collaboration tools, miscommunication, unclear project requirements, and inefficient meetings continue to derail projects, wasting valuable time and resources. A staggering 41% of workers report that making a simple decision can take up to three hours due to unproductive meetings—so what’s going wrong?
In this episode, Bryan, Chief Evangelist at Lucid Software, joins me to break down the research that shows how these inefficiencies are hurting businesses. We discuss how visual collaboration tools can bridge the gap, offering a structured framework to align teams, streamline workflows, and eliminate costly misunderstandings.
Bryan shares insights on why agile practices could be the answer, revealing that while 68% of workers see tangible benefits from agile methodologies, many organizations are still reluctant to adopt them.
We also dive into the biggest roadblocks to change—resistance from employees, misconceptions about agile practices, and fear of disruption. Bryan lays out a practical roadmap for introducing agile in a way that doesn’t overwhelm teams but instead fosters engagement, efficiency, and innovation.
From quick daily scrums to structured retrospectives, we explore simple yet powerful ways teams can evolve their approach to collaboration without feeling like they’re overhauling everything at once.
And in a historic moment for the podcast, we break a record today—an entire, deeply insightful conversation about technology and business without mentioning AI!
So, how can companies shift away from outdated working behaviours and embrace visual collaboration and agile methodologies? What small changes can create massive improvements in decision-making and project execution? And what does the future of workplace collaboration look like in a world that’s still struggling with productivity?
Join us for this eye-opening discussion, and as always, I’d love to hear your thoughts—what’s the biggest collaboration challenge your team faces, and could agile be the answer?
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In today’s fast-moving digital landscape, IT teams are under immense pressure to maintain performance, security, and reliability while managing increasingly complex cloud-native environments. But as traditional monitoring tools struggle to keep pace, AI-driven observability is emerging as a game-changer.
In this episode, I sit down with Alois Reitbauer, Chief Technology Strategist at Dynatrace, to explore how AI and automation are redefining enterprise IT. Alois shares his insights on the role of predictive AI, AIOps, and automated observability in helping organizations proactively detect and resolve issues before they impact users.
We also dive into how Dynatrace is integrating AI-powered solutions to enhance performance monitoring, security, and cloud automation, making IT operations more efficient and resilient. Alois breaks down the latest innovations, including how AI observability supports large-scale cloud environments, reduces alert fatigue, and enables self-healing IT ecosystems.
As AI continues to transform enterprise technology, what does the future hold for IT teams? Can AI-powered observability help businesses scale without adding complexity? And how can companies harness Dynatrace’s advanced AI insights to drive greater efficiency and security?
Join us as we explore these questions and uncover the latest breakthroughs shaping the future of IT operations. I’d love to hear your thoughts—how do you see AI observability changing the way businesses manage their digital ecosystems?
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The rapid pace of technological change continues to reshape industries, forcing businesses to rethink their IT strategies, embrace automation, and harness AI to stay competitive. But with so many moving parts—legacy systems, cybersecurity risks, and increasing demands for performance—how can enterprises successfully modernize without disrupting mission-critical operations?
In today’s episode, the conversation takes place live from Dynatrace Perform in Las Vegas, where the focus is on AI-driven transformation, digital twins, and the future of IT services. Howard Boville, Executive Vice President at DXC, shares how the company is helping enterprises modernize applications, optimize cloud environments, and use AI to drive efficiency and scalability. With a global team of 50,000 engineers, DXC is at the forefront of enabling businesses to navigate complexity while maximizing operational performance.
A key part of this transformation is DXC’s long-standing partnership with Dynatrace, which spans 15 years. Howard explains how observability plays a pivotal role in ensuring seamless application performance and IT operations. With thousands of interconnected applications running on intricate infrastructure, gaining real-time insights is critical for predicting outages before they happen. The discussion explores how AI-powered observability is preventing IT failures, improving customer experiences, and enabling businesses to transition from reactive to proactive problem-solving.
Another major theme is the rise of digital twins—real-time virtual models that help businesses optimize their technology ecosystems. Originally developed in manufacturing to simulate production lines, digital twins are now being used to map out entire IT environments. Howard discusses how DXC and Dynatrace are bringing this concept into enterprise IT, allowing companies to model the impact of AI, streamline cloud migrations, and maximize return on investment.
The conversation also touches on the growing concerns around cybersecurity and quantum computing. As the industry approaches a new era of quantum capabilities, encryption methods once considered secure will soon be vulnerable. Howard explains why businesses need to start preparing for this shift now, rather than waiting for a crisis to emerge.
With AI playing a bigger role in IT services, the discussion also explores how DXC is leveraging automation to drive operational improvements while ensuring human expertise remains central to decision-making. Howard shares insights on how businesses can balance innovation with risk management, optimize costs, and make AI work for them rather than against them.
As enterprises navigate digital transformation, the question remains: how can they ensure their IT investments deliver measurable business outcomes? What role will AI, observability, and cybersecurity play in shaping the future of enterprise technology? And with quantum computing on the horizon, how can businesses prepare for the seismic shifts ahead?
Join the discussion for a thought-provoking look at the future of IT and the evolving role of AI in enterprise modernization. What are your thoughts on AI’s impact on IT services? Let’s continue the conversation.
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What happens when a company decides to redefine its identity? That’s what I witnessed firsthand at the IT Press Tour in Silicon Valley, as CloudFabrix unveiled its transformation into Fabrix.ai—a move that marks more than just a rebrand, but a bold step into the future of AI-driven IT Operations.
In this episode, I sit down with Raju Datla, CEO of Fabrix.ai, to explore this pivotal shift and the launch of their Agentic AI Operational Platform. We discuss why the evolution from CloudFabrix to Fabrix.ai is not just about a name change but revolutionizing how IT operations leverage AI agents for autonomous workflows, predictive analytics, and automated remediation.
Fabrix.ai introduces Agentic AI, a new paradigm where AI-driven agents operate independently to solve IT challenges—without constant human intervention. These agents can detect anomalies, manage SLAs, predict system failures, and execute automated fixes. But how does this compare to traditional AIOps and ML-driven approaches? And what safeguards are in place to prevent AI hallucinations, bias, and errors in critical IT workflows?
We’ll unpack how Fabrix.ai’s three foundational fabrics—AI Fabric, Automation Fabric, and Data Fabric—transform enterprise IT by combining AI-powered reasoning, real-time data processing, and intelligent automation. Raju shares insights into how large enterprises and telcos leverage this technology and how Fabrix.ai works with industry giants like Cisco, IBM, and Splunk to reshape IT operations.
Beyond the tech, we dive into leadership lessons from a serial entrepreneur—how Raju has built a loyal team across multiple ventures, the mindset needed to create sustainable, high-impact businesses, and why passion should always come before profit.
So, what does the future hold as we stand at the crossroads of AI-driven automation and IT modernization? Will Agentic AI usher in the long-promised era of fully autonomous enterprises?
What are your thoughts? Could AI-driven agents transform IT as we know it? Let’s continue the conversation.
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Unstructured data is growing at an unprecedented rate, now making up 90% of enterprise data—but how do businesses harness its full potential?
In this episode, I sit down with Krishna Subramanian, co-founder and COO of Komprise, to explore how companies can optimize, manage, and extract value from their unstructured data across hybrid and multi-cloud environments.
Krishna shares insights from over a decade in the industry, explaining how data has outgrown traditional storage solutions and why independent data management is critical for organizations to avoid vendor lock-in. We discuss how AI is revolutionizing data strategies, from optimizing storage costs to preparing unstructured data for AI-driven workflows—a challenge every enterprise is now facing.We also dive into the hidden costs of cold data, how Komprise’s Global File Index brings structure to unstructured data, and the role of transparent data tiering in reducing storage expenses while maintaining easy access. Krishna highlights why data governance and security are more important than ever, especially as enterprises explore AI adoption and face increasing ransomware threats.
As AI becomes more deeply embedded in business processes, how can organizations ensure their data is AI-ready? What steps should they take today to future-proof their data strategies?
Join the conversation and discover why unstructured data management is the next big frontier in enterprise IT. -
What does the future of observability, AI, and security look like in an increasingly complex digital world? In this episode, I’m joined by Steve Tack, Chief Product Officer at Dynatrace, live from Dynatrace Perform in Las Vegas. Steve has been a frequent guest on the show, but this time, we’re finally sitting down in person at one of the industry’s most anticipated events.
Steve shares insights into how Dynatrace is expanding its AI-driven observability and automation capabilities to help businesses move from a reactive to a proactive IT strategy. We discuss the company’s latest product announcements, including advancements in AIOps, cloud security posture management, and predictive AI for optimizing enterprise performance.
With AI dominating conversations in every industry, Steve explains how enterprises are evolving their IT operations to harness AI-powered automation while ensuring security and scalability. He also shares key trends from the conference floor, including how businesses are restructuring teams for agility and resilience in the era of cloud-native and AI-driven services.
Tune in to hear how AI, observability, and security are converging to shape the future of enterprise IT—and what it means for your business.
Are we truly on the verge of fully autonomous IT operations? Join the conversation and share your thoughts.
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What happens when the limits of traditional chip design collide with the relentless demand for AI and high-performance computing? In today’s episode, I sit down with Abhijeet Chakraborty from Synopsys to explore how multi-die chip architectures are redefining the future of semiconductors. With Moore’s Law slowing and the complexity of computing workloads skyrocketing, the industry is turning to multi-die solutions to push the boundaries of performance, scalability, and efficiency.
Synopsys is at the heart of this transformation, powering more than 95% of the world’s advanced chip designs. As AI, IoT, and next-gen computing drive an insatiable need for faster, more efficient processors, the semiconductor industry is undergoing a radical shift. By 2035, the multi-die chip market is expected to reach $411 billion, with at least 50% of new HPC chip designs set to be multi-die or 3D by the end of 2025.
Abhijeet walks us through the breakthroughs in Universal Chiplet Interconnect Express (UCIe), the growing role of silicon lifecycle management, and how Synopsys is pioneering multi-die integration to help companies accelerate time-to-market while balancing power, performance, and cost. We also discuss how AI itself is being used to optimize semiconductor design, ensuring these complex chip architectures remain reliable and efficient.
With major industry players investing heavily in this technology, the semiconductor landscape is at a critical inflection point. But what are the biggest challenges in making multi-die architectures mainstream? How will innovations in packaging, interposers, and hybrid bonding influence adoption? And with AI models demanding unprecedented levels of compute power, can multi-die designs truly keep pace with the ever-expanding capabilities of artificial intelligence?
Join us for this deep dive into the future of semiconductors, the rise of chiplets, and why the next decade will be defined by radical shifts in computing architecture. As always, I’d love to hear your thoughts—where do you see the future of chip design heading, and what challenges do you think the industry must overcome?
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How can AI revolutionize the way we research and understand complex topics? In this Tech Talks Daily episode, I speak with Mel Morris, founder and CEO of Corpora.AI. This research engine redefines how individuals, businesses, and institutions approach knowledge discovery.
With traditional search engines struggling to deliver depth and AI tools often relying on outdated or incomplete data, Corpora.AI takes a different approach. The platform processes millions of documents per second using advanced AI and proprietary language graph technology, delivering research reports with real-time insights and source attribution.
Unlike conventional AI models that generate content from limited datasets, Corpora.AI dynamically ingests over 100 petabytes of open-source intelligence, ensuring users can access the most comprehensive, accurate, and up-to-date information.
Mel shares his vision for democratizing access to high-level research, making it possible for users across academia, medicine, law, finance, government, and journalism to gain deeper insights faster. We explore how Corpora.AI’s real-time data ingestion and multilingual capabilities allow professionals to conduct advanced research in one language and receive results in another.
From patent research and market analysis to education and rapid learning, the applications of this research engine extend far beyond what traditional AI-powered search tools can offer.
We also discuss how Corpora.AI is tackling some of the biggest challenges in AI-driven research, including bias, credibility, and transparency. By providing research reports with 400-500 cited sources per query, the platform ensures that every insight is traceable, allowing users to verify information and make informed decisions.
With AI reshaping how we access and interpret knowledge, what does the future hold for research, education, and data-driven decision-making? Will AI-driven research engines like Corpora.AI replace traditional search methods? And how can businesses and institutions leverage these tools to stay ahead of the curve?
Join me for this fascinating discussion as we explore the future of AI-powered research and how Corpora.AI is setting a new standard for knowledge discovery.
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How can businesses harness the full potential of their data without moving it? In this episode of Tech Talks Daily, I explore this question with Ángel Viña, CEO of Denodo, a company at the forefront of logical data management and AI integration. With organizations drowning in complex data landscapes, Denodo offers a way to unify, govern, and personalize data access without the inefficiencies of traditional data movement.
Ángel explains how Denodo’s approach creates a seamless, federated data environment that allows businesses to extract insights from multiple sources while maintaining compliance and security. He shares how their platform leverages retrieval-augmented generation (RAG) to enhance large language models (LLMs) with corporate data, ensuring AI applications are not just powerful but also contextually aware and enterprise-ready. By partnering with Google Cloud, Amazon, NVIDIA, and OpenAI, Denodo is shaping the future of AI-driven data augmentation.
As AI continues to reshape industries, many organizations struggle to develop secure and effective GenAI applications. Ángel discusses how Denodo accelerates the adoption of AI-powered data solutions, helping companies build applications that meet real business needs. He also shares insights from the upcoming O’Reilly book Logical Data Management, which provides a deeper look into how organizations can optimize their data strategies.
With AI and automation transforming enterprise data, what does the future hold for self-service data access, security, and integration? How can businesses ensure their AI models are trained on the most relevant and accurate data? Join us for this deep dive into the evolving world of data management and AI-powered intelligence. Useful Links O'Reilly Logical Data Management book that Ángel mentioned at the end of the episode that I know Deborah shared on the Zoom chat. The first two chapters are available. Check out Denodo's blog about the first two chapters. -
What does the future of remote work look like, and how does it shape industries beyond just tech? In today’s episode, I sit down with Curtis Sparrer, co-founder and principal of Bospar, and Carole Barrow, VP of Public Relations & Content, as they celebrate Bospar’s 10th anniversary and share their journey as pioneers in remote-first PR.
Bospar has built a reputation for challenging industry norms, proving that remote work is not just viable but essential for fostering productivity, sustainability, and inclusivity. As they explain, working from home five days a week can reduce an individual’s carbon footprint by more than 50%, raising the question—why aren’t more companies embracing this model?
Beyond environmental impact, remote work also removes key structural barriers for women and individuals with disabilities, ensuring a more equitable professional landscape. Curtis and Carole share eye-opening insights into how workplace flexibility is reshaping gender wage gaps and opening new opportunities for talent worldwide.
In addition to discussing the evolution of remote work, Bospar continues to innovate in the tech PR space, recently launching Pushy, an AI-powered PR assistant that helps their team provide clients with data-driven media strategies and instant guidance. As AI disrupts traditional workflows across industries, we explore what it means for the PR profession and how human creativity remains irreplaceable.
And if you’ve ever wondered how a children’s book fits into the world of public relations, Curtis and Carole reveal their latest initiative—a book designed to introduce young minds to PR as a career path. Public relations is often a "hidden profession," much like UX design or cybersecurity before it gained mainstream attention. Bospar is on a mission to demystify PR and inspire the next generation of media professionals.
As Bospar marks a decade of redefining the PR industry, we reflect on their biggest lessons learned, the challenges of staying remote-first in a world where “RTO tech bros” continue pushing for office mandates, and what the future holds for PR in an AI-driven world.
With media consolidation making it harder for companies to get noticed and journalists more overwhelmed than ever, what should businesses and PR professionals be doing differently? What does it take to break through the noise and get real media attention in 2025? And is remote work truly the future, or will companies continue to resist change?
Join us for a fascinating conversation about the intersections of PR, AI, remote work, and workplace equality. And as always, I’d love to hear your thoughts. Do you think remote work is the future, or is it time to return to the office?
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What does the future of education look like when AI takes center stage? In this episode of Tech Talks Daily, I speak with Clara Aboel-Nil, a 17-year-old entrepreneur and student at Alpha High, a groundbreaking school with no teachers where AI-powered apps facilitate learning. Clara shares how this innovative approach has allowed her to build two successful AI-driven educational apps, TeachTap and AceBot AI, while still in high school.
Alpha High is redefining how students learn by compressing traditional academics into the first few hours of the day, freeing up afternoons for hands-on projects designed to make a real-world impact. Clara describes how this model has enabled her to integrate AI into nearly every aspect of her work, from content creation to app development, without needing a background in coding.
TeachTap, which helps students prepare for AP and SAT exams using AI-powered historical figures and interactive lessons, has already surpassed 100,000 downloads and ranks among the top educational apps. Her newest venture, AceBot AI, takes this concept even further by assisting students across a wider range of subjects.
During our conversation, Clara highlights the role of AI in shaping the future of entrepreneurship, the importance of prompt engineering as a skill, and why students must learn to work with AI rather than fear it. She also shares the challenges of building AI-powered apps as a teenager, from overcoming technical roadblocks to leveraging data-driven marketing strategies to make learning more engaging.
As AI continues to transform industries, education is no exception. Will AI-powered schools become the norm? How can young entrepreneurs leverage technology to create meaningful change? Tune in for an inspiring discussion on how AI is reshaping education and empowering the next generation of innovators. -
Enterprise storage has long been dominated by tech giants with expensive, proprietary solutions—but what if there was a different way?
In this episode, recorded at the IT Press Tour in Silicon Valley, I sit down with Brett Davis, Executive Vice President at iXsystems, to explore how TrueNAS is rewriting the storage rulebook with an open-source approach that delivers enterprise-grade performance without the hefty price tag.
With competitors like NetApp, Pure Storage, Dell, and HPE, TrueNAS stands apart as the world’s largest open-source storage platform, trusted by 60% of Fortune 500 companies and downloaded over 500,000 times annually across 190 countries. Brett shares the company’s fascinating origin story, which traces its roots back to Berkeley Unix in the 1960s, and how a commitment to transparency, affordability, and long-term growth has made TrueNAS a serious contender in today’s enterprise storage market.
We also discuss the major trends shaping IT infrastructure in 2025, from the rising costs of VMware licensing to the debate between on-prem and cloud storage—now growing at the same pace. Brett explains why organizations are increasingly pushing back against vendor lock-in, how open enterprise storage is lowering barriers for businesses of all sizes, and why IT leaders are prioritizing cost savings without sacrificing performance.
But where does TrueNAS go from here? Brett gives us a sneak peek into what’s next, including an upcoming software release focused on data optimization, deduplication, and high-performance enterprise storage.
Is open-source enterprise storage the future? And how can businesses break free from costly, restrictive storage contracts? Join the conversation and let us know what you think.
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As part of the IT Press Tour in Silicon Valley, I had the opportunity to sit down with David Flynn, CEO of Hammerspace, to explore how the company is redefining the future of enterprise data storage.
At a time when AI-driven workloads and hybrid cloud computing are pushing storage demands to new heights, Hammerspace is stepping in with a fresh approach. Their Global Data Platform is designed to eliminate data silos, providing seamless access and orchestration for unstructured data across edge locations, data centers, and cloud environments.
Hammerspace is experiencing a breakout year, with tenfold revenue growth driven by the surging demand for AI storage solutions and hybrid cloud infrastructure. The conversation delves into how the company is enabling enterprises to move beyond traditional storage limitations.
David explains the critical role of Parallel Network File System, or pNFS, in delivering high-performance storage solutions. We also discuss why it's gaining traction as organizations seek ways to process massive amounts of data with greater efficiency. Together, we explore the state of pNFS adoption, how Hammerspace is driving its evolution, and why it is a key pillar of its platform strategy.
Another important aspect of the discussion is the difference between global namespaces and true data orchestration. While global namespaces have gained attention in enterprise storage, David explains why simply having a global namespace is not enough.
Orchestration is the missing piece that allows data to be moved, accessed, and utilized efficiently across distributed environments. By combining orchestration with a truly global namespace, Hammerspace is making data instantly accessible to users, applications, and compute clusters, no matter where they are located.
As AI workloads become increasingly complex, the need for a new approach to data management is clear. Enterprises require storage solutions that can keep up with the demands of high-speed analytics, GPU-driven AI, and hybrid cloud strategies.
Hammerspace is positioning itself as a leader in this space, offering a way to bridge the gap between traditional storage architectures and the needs of modern enterprises.
The company’s rapid growth is also reflected in its recent leadership expansion. With a new Chief Revenue Officer joining the team and Hammerspace earning recognition as Product of the Year in TechTarget’s Storage Awards, the company is making significant strides in shaping the future of enterprise data storage.
With so much change happening in data infrastructure, what does the future hold for AI storage and enterprise data management? Will solutions like Hammerspace become the new industry standard for high-performance storage and orchestration?
I’d love to hear your thoughts on this. Reach out and share your perspective, and stay tuned for more insights from the front lines of technology.
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What will 2025 bring for enterprise technology? How will AI evolve, and what should businesses anticipate in the coming year? In this episode, I speak with Louis Landry, the newly appointed CTO of Teradata, as he shares his insights on the future of AI, data analytics, and the role of trust in technology.
With more than two decades of experience in software architecture and engineering leadership, Louis has played a pivotal role in shaping Teradata’s innovation strategy. Having led the company’s Technology and Innovation Office, his focus now extends to scaling AI-driven solutions that empower businesses with trusted intelligence.
As we look ahead, what will be the defining trends of 2025? Louis explores the growing impact of retrieval-augmented generation, the evolution of large-scale personalization, and the next phase of AI model efficiency. He also delves into the rise of agentic AI systems—where generative AI merges with traditional software to create more autonomous, intelligent processes.
But with rapid advancements come pressing concerns. How can organizations ensure AI remains explainable, transparent, and aligned with ethical standards? Louis emphasizes the importance of people-centered accountability, measurable business impact, and the foundational role of trusted data in AI’s success. As AI continues to reshape industries, businesses must navigate regulatory challenges, balance innovation with risk, and rethink their approach to data governance.
Beyond AI, Louis discusses the role of open-source technology in enterprise environments, the shift from project-focused to outcome-driven AI adoption, and how organizations can harness data harmonization to unlock new opportunities. He also shares his thoughts on the strategic investments businesses should prioritize in an increasingly complex digital world.
As AI and analytics continue to evolve, what strategies will define industry leaders in 2025? How can businesses stay ahead while ensuring AI remains trustworthy and effective?
Tune in to hear Louis Landry’s perspective, and let us know your thoughts. How do you see AI shaping the business landscape in the coming year?
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What does it take to turn ideas into impactful books, and how is technology reshaping the publishing industry? In this episode of Tech Talks Daily, I sit down with Eric Jorgenson, CEO of Scribe Media, to explore the art and science of book creation, the future of self-publishing, and his vision for unlocking the world’s wisdom.
Eric, best known as the author of The Almanack of Naval Ravikant, has sold over 1.5 million copies of his books and distributed millions more in digital formats. He shares his journey from startup enthusiast to best-selling author and how that path ultimately led him to take the helm at Scribe Media. He discusses the company’s mission to help professionals turn their expertise into books without needing to type a single word, using structured, conversation-based methods that simplify the process for busy thought leaders.
We dive into the growing role of AI in book publishing, where it can enhance idea generation and content structuring but still falls short in replacing human expertise. With audiobooks now accounting for up to a third of royalties for some authors, Eric also discusses how multi-format publishing is shaping the future of the industry and what factors influence whether an author should narrate their own book.
Beyond publishing, Eric shares his investment philosophy in utopian technologies—supporting “obsessive geniuses” working on transformative innovations such as micro-reactors, advanced batteries, and even asteroid mining.
With publishing undergoing massive shifts and AI accelerating content creation, what does the future hold for authors, books, and knowledge-sharing? Join us as we explore the intersection of technology, storytelling, and big ideas. -
How is AI transforming the way we interact with sound, voice, and digital personas? In this episode of Tech Talks Daily, I speak with Alex Bordanova, Chief Product and Technology Officer at Voicemod, about the company’s groundbreaking approach to AI-driven voice transformation and its expanding role beyond gaming.
Originally developed to enhance voice chat experiences for gamers, Voicemod has evolved into a powerful tool for real-time voice modulation, combining traditional digital signal processing (DSP) with cutting-edge AI. Alex shares how their technology enables users to alter their voice characteristics—changing timbre, pitch, and resonance—while maintaining clarity and intelligibility. With millions of users creating custom voices every month, Voicemod is at the forefront of AI-powered audio innovation.
We discuss the launch of Voicemod Key, a new hardware solution bringing voice transformation to console gaming and VR, allowing seamless integration between microphones and gaming platforms. Alex also highlights the importance of ethical AI practices, emphasizing Voicemod’s commitment to using professionally recorded and consented datasets to train its AI models responsibly.
Beyond gaming, Voicemod is forging partnerships with major entertainment brands, collaborating with Warner Bros, Rovio, and other global IP holders to bring iconic voices to life. As audio technology catches up to the advancements in visual media, what does the future hold for voice augmentation in entertainment, communication, and beyond?
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How is artificial intelligence redefining industries, from corporate branding to cultural institutions? In this episode of Tech Talks Daily, I speak with Hussein Hallak, founder and CEO of Next Decentrum, about the profound ways AI and immersive technology are shaping customer experiences, education, and cultural preservation.
With over 25 years of experience spanning branding, technology, gamification, and education, Hussein is a serial entrepreneur who has launched more than 20 ventures and advised startups globally. His work at Next Decentrum focuses on using AI and immersive tech to create meaningful, lasting value—moving beyond hype to real-world applications that transform industries.
We explore how AI is not just optimizing efficiency but also revolutionizing storytelling, customer engagement, and global knowledge-sharing. Hussein discusses projects such as AI-powered holograms in tourism, the role of AI in making cultural heritage more accessible, and the challenges institutions face in adopting cutting-edge technology. He also shares his thoughts on AI's impact on learning, highlighting how it enables personalized, immersive experiences that accelerate skill development.
With Vancouver emerging as a unique hub for innovation across VFX, quantum computing, and fusion technology, we also examine the city’s growing tech ecosystem, its strengths, and the challenges of scaling without direct access to major funding centers.
As AI continues to push the boundaries of creativity and accessibility, how can businesses and cultural institutions harness this technology to build deeper connections and unlock new opportunities? Tune in for an insightful conversation on the future of AI-powered innovation. -
How can the tech industry close the widening skills gap while creating meaningful career opportunities for diverse talent? In this episode of Tech Talks Daily, I speak with John Akkara, CEO and co-founder of Smoothstack, a company on a mission to bridge the gap between IT education and real-world industry needs.
John shares his inspiring journey—from an immigrant student on a tennis scholarship to a leader reshaping how tech talent is identified, trained, and deployed. His experiences with mentorship and career-defining opportunities now fuel his commitment to providing others with a clear pathway into technology careers.
We discuss how Smoothstack’s Hire-Train-Deploy model is different from traditional education and bootcamps, simulating real-world project environments where trainees work in agile teams, participate in peer code reviews, and gain hands-on experience tailored to employer needs. John highlights the severity of the IT skills gap—where demand far outpaces supply—and explains how industries like cybersecurity and software development are being affected.
Diversity and inclusion are core to Smoothstack’s approach, with a strong emphasis on increasing opportunities for underrepresented groups in tech. John discusses the company’s efforts to boost participation among women and individuals from disadvantaged backgrounds, as well as future plans to leverage remote work to expand access to tech careers in economically distressed areas.
What will it take to build a more inclusive and sustainable tech workforce? Tune in to learn how Smoothstack is making a real impact, and share your thoughts on how businesses can rethink talent development in the digital age.
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How is the future of payments evolving, and what role does technology play in shaping seamless, secure, and scalable financial transactions? In this episode of Tech Talks Daily, I explore these questions with Niv Liran, Chief Product and Technology Officer at Unzer, a company redefining payments across Europe by integrating cloud technology, AI, and security-driven innovations.
Unzer has undergone a major transformation, unifying multiple acquired companies into a single, scalable platform, Unzer-1. Niv shares insights into this journey, explaining how consolidating payments infrastructure in the cloud has enabled greater agility, improved security, and ensured compliance in an increasingly regulated fintech landscape. He also highlights how Unzer’s approach to unified commerce is streamlining transactions for merchants, seamlessly bridging in-store, online, and mobile payments.
We discuss how AI is playing a crucial role in fraud detection and payment security, helping businesses monitor user behavior, detect anomalies, and prevent cyber threats while minimizing friction for customers. As Europe accelerates toward a cashless economy, Niv provides perspectives on how evolving consumer habits, the rise of digital wallets, and innovations like SoftPOS are reshaping the industry.
With a focus on localized payment solutions and deep regulatory expertise, Unzer is setting new standards in fintech. But as digital payments continue to evolve, how can businesses ensure they stay ahead of security challenges while providing seamless experiences for customers? Join us as we explore the technology behind modern payments and the future of commerce.
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