Next in Tech

The recent announcement of the capabilities of the Mythos AI model have raised many concerns about the cybersecurity implications of ever more powerful AI tools. Scott Crawford and Daniel Kennedy return to the podcast to debate the impact with host Eric Hanselman. Is this more marketing than real attack potential? It seems like the pace and scale of the discovery of new vulnerabilities could overwhelm traditional remediation and patching practices. Is this a reason to hold back the release of new AI models?

If nothing else, these developments should serve as a wakeup call for enterprises to revamp the way in which they approach both their software supply chains and operational procedures. Increased speed and scale are necessary, but it's also critical to secure the source of patches and updates to counter attacker efforts to compromise them. Attackers have always been good at taking well intentioned improvements and weaponizing them.

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Credits:

• Host/Author: Eric Hanselman
• Guests: Scott Crawford, Dan Kennedy
• Producer/Editor: Feranmi Adeoshun
• Published With Assistance From: Sophie Carr, Kyra Smith, Dylan Scheible

Demand for data center capacity is booming, which won't come as a surprise to any of our listeners, but that boom is extending into the associated areas that are looking to manage risk in this growth. Analysts Tony Lenoir and Kelly Morgan return to the podcast to discuss an upcoming webinar that explores the challenges that insurers are facing with host Eric Hanselman. The "Underwriting the Digital Backbone: Navigating Risk and Growth in Data Center Insurance" webinar digs into the complex risk equations that insurers have to navigate. Data center projects have escalated in scale and cost and this creates concerns not only about financing, but also the entangled supply chain and energy grid connectivity pathways. When data center power demands are approaching the gigawatt level, simply providing reliable power becomes much more challenging.

At the same time, the risks for data centers are becoming more complicated. The shift to liquid cooling can deliver much more efficient operation, when compared with air cooling, but it has a downside. When racks of GPU's can dissipate almost a megawatt of energy, even short interruptions of cooling supply can cause catastrophic damage. And the GPU's being damaged are tremendously valuable and in short supply. Business continuity insurance has to account for these much greater loss potentials, as well as looking at location risks from environmental hazards. Geopolitical concerns are now a key part of balancing risk, as well. Check out the webinar for a deeper dive with more details.

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Credits:

• Host/Author: Eric Hanselman
• Guests: Tony Lenoir, Kelly Morgan
• Producer/Editor: Feranmi Adeoshun
• Published With Assistance From: Sophie Carr, Kyra Smith

While expanding regulatory requirements have been pushing developments in digital sovereignty, increasing levels of geopolitical concerns are driving greater urgency in improving control of digital assets. Andreas Prins, global head of sovereignty solutions for SUSE joins host Eric Hanselman to look at how organizations need to shift their thinking to leverage all of the benefits that sovereignty initiatives offer. We've seen study results that show that enterprises see sovereignty as a path to better workload and data portability. To make this work effectively, they need to consider the full technology stack that supports their digital environments. Understanding the controls available to manage sovereignty goals is an important first step, but it's just as important to look at how applications and data can be pulled out of any environment, if the need arises. Understanding the effort to exit can highlight dependencies that could hinder a path to improved sovereignty.

Focusing exclusively on sovereignty can also miss another important benefit – improvements in business resilience. By starting with resilience, organizations can link together security and sovereignty with operational concerns. The result can be more efficient and effective technology operations that go beyond fulfilling simple regulatory requirements and help to build stronger businesses.

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Credits:

• Host/Author: Eric Hanselman
• Guest: Andreas Prins
• Producer/Editor: Feranmi Adeoshun
• Published With Assistance From: Sophie Carr, Kyra Smith

The next episode of our Quantum CEO series looks at the software development stack for quantum computing and how quantum software is developed. Co-founder of Classiq, Amir Naveh, joins host Eric Hanselman to discuss the challenges in working across the dramatically different architectures that make up the current quantum computing landscape. It's been nine years since IBM introduced the Qiskit development environment and much has changed. Developers can move from simple quantum circuits designs to much more high-level representations of quantum logic, while targeting a broad set of quantum computers on which the can run. Much as classical computing tools advanced to more effective and efficient compilers and tool chains, quantum development tooling is tackling more complex problems and raising the level of abstraction at which developers can operate.

The improvements in development tools are expanding the audience for quantum computing and reinforcing the imperative that enterprises large and small should be working to understand how they can put quantum computing to work. Quantum is not a technology for a distant future, it's a reality that can have impacts in many applications today.

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Credits:

• Host/Author: Eric Hanselman
• Guest: Amir Naveh
• Producer/Editor: Feranmi Adeoshun
• Published With Assistance From: Sophie Carr, Kyra Smith

The next in our Quantum CEO series looks at the nature of a fundamental element of quantum computing – the qubit. Dr. Theau Peronnin, cofounder and CEO of Alice & Bob, joins host Eric Hanselman to explore the nature and characteristics of this often-misunderstood foundation of the quantum world. There is no standardized definition for a qubit, and yet, many quantum efforts measure their success in terms of qubit counts. At the same time, there are efforts to define logical qubits, as a more functional measure, further clouding the term. It's far better to look at the work that they can do and what the constraints are in their operation. The current generation of quantum computers work with environments that are computationally noisy, creating error rates that are more than eighteen orders of magnitude greater than classical computers. That puts a focus not only on managing error rates, but also on establishing meaningful benchmarks around quantum performance.

There are also efforts to expand the working life of a qubit, the coherence time, and the speed of computation. Differing approaches to quantum computing trade off stability and durability of the quantum state needed to perform a computation. Quantum capabilities are expanding more rapidly than many had predicted and organizations need to develop a better understanding of where and when quantum computing can fit in their business plans.

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Credits:

• Host/Author: Eric Hanselman
• Guest: Dr. Theau Peronnin
• Producer/Editor: Feranmi Adeoshun
• Published With Assistance From: Sophie Carr, Kyra Smith

We kick off the next in our CEO series with a look at quantum computing. Alan Baratz is the CEO of D-Wave and he joins host Eric Hanselman to explore quantum computing architectures, how they're evolving, and how enterprises should be considering quantum computing applications. D-Wave now offers both annealing and gate model quantum computing systems, with different types of problems being suited to each type. While many view quantum computing as a distant future, quantum approaches are delivering business value today, particularly in quantum annealing, where optimization of scheduling and processing can be done with greater precision and speed.

One of the challenges the enterprises face is translating existing use cases into the quantum realm. So often, heuristics are developed to approximate the computations that are required. The shift to quantum thinking steps beyond the heuristics that were applied to reduce computational efforts and looks at directly addressing computationally complex problems. It's a shift to embracing a new way addressing some of the most challenging enterprise problems.

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Credits:

• Host/Author: Eric Hanselman
• Guest: Alan Baratz
• Producer/Editor: Feranmi Adeoshun
• Published With Assistance From: Sophie Carr, Kyra Smith

While the annual gathering of all things telecom might have been dampened by geopolitical impacts, Mobile World Congress was still a hotbed of everything new and next. Analysts Raul Castañon-Martinez and Rich Karpinski join host Eric Hanselman to discuss what they saw in Barcelona and what it portends for not only the telecom players, but also the wider technology ecosystem that was clamoring for attention. MWC has evolved into an event that spans technology in many different forms. There's a telecom anchor that expands from smartphones, to infrastructure, out to AI and agentic, even out to quantum computing. There seemed to be more quantum computers on display than the perennial stand attraction – Formula 1 cars.

This year presented and more pointed challenge to telecom operators to make the jump into being technology providers. There's certainly a desire to get to a "Connectivity plus" footing, but there are many ecosystem players looking to be the provider of choice for AI services. Operators are trying to avoid the over-the-top displacement of previous tech transitions, but they're facing a much broader set of competitors.

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Credits:

• Host/Author: Eric Hanselman
• Guests: Raul Castañon-Martinez, Rich Karpinski
• Producer/Editor: Feranmi Adeoshun
• Published With Assistance From: Sophie Carr, Kyra Smith

We're well underway in the integration of agents into various enterprise workflows, but there are many questions about where and how they can be used effectively. Emily Jasper and Sheryl Kingstone return to the podcast to discuss their recent research and upcoming webinar with host Eric Hanselman. Much has been made of claims that agents are going to replace SaaS applications, particularly in applications like CRM, but that relies on a fundamental misunderstanding of where their value lies. CRM systems are the repositories of crucial enterprise data and agents can help to deliver on many of their unfulfilled promises. Many systems have

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• Published With Assistance From: Sophie Carr, Kyra Smith

The RSAC Conference, a major cybersecurity gathering in the spring, is coming up and the impacts of agents will be on full display. Scott Crawford, Brenon Daly, and Dan Kennedy join host Eric Hanselman to explore their expectations and look at what's been taking place in both the marketplace, investments and M&A activity. Agents are automating tasks, not jobs, and there are a great set of use cases, but they're not a panacea. There will be disruption, but it will be in specific areas, rather than a universal replacement of existing tooling.

Are we industrializing the automated creation of software? Will agents really replace SaaS applications? We're clearly in the early days, but these questions are causing massive market shifts. A better question is how agentic interactions will change how we interact with the applications that drive businesses today.

Join the team at RSAC and get all the details we didn't have time to cover. The annual 451 Research breakfast will be on, as always, so you can meet the team in person.

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Credits:

• Host/Author: Eric Hanselman
• Guests: Scott Crawford, Brenon Daly, Daniel Kennedy
• Producer/Editor: Feranmi Adeoshun
• Published With Assistance From: Sophie Carr, Kyra Smith

Wildfires have grabbed the headlines recently and AI is being put to work to assess risk aid strategic planning in reducing events. The next in our CEO series brings Bryan Spear, the CEO of Technosylva, in to talk with host Eric Hanselman about not only wildfire, but also the ways in which AI can address flood and extreme weather risks, as well. There are interesting commonalities in the datasets that are used and AI has helped them to pivot into new areas as they dig deeper into what, in many cases, was data they already had.

Their computational requirements have driven them to invest in a dedicated compute environment. They're running analyses on scale where they can keep utilization high enough that the costs make sense. It's a calculus that many enterprises are making as they trade off the convenience of cloud with the predictable costs of owning one's own infrastructure.

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Credits:

• Host/Author: Eric Hanselman
• Guest: Bryan Spear
• Producer/Editor: Feranmi Adeoshun
• Published With Assistance From: Sophie Carr, Kyra Smith