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.

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?

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.

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?

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.

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.