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The popular image of quantum computers is the sparkling "chandelier" of the superconducting approach, but this next episode in our Quantum CEO series looks neutral atom quantum computers. Quantum analyst Ellie Brown returns to the podcast to join Andy Ory, the CEO of QuEra, to discuss their approach, the benefits of practical fault tolerant qubits and the advantages of quantum hubs that may have a dearth of beer with host Eric Hanselman. Neutral atom systems don't require the ultra-low operating temperatures used for superconduction. They stabilize the atoms they're using with lasers that still their motion. That free space setting allows simpler interaction between larger numbers of qubits that improves scaling of quantum computations. Stability reduces error rates and can improve the effectiveness of quantum error correction.
Quantum computing has become a very buzzy topic, with IPO's and major funding announcements. There is growth of the supporting ecosystems around quantum application development, with software tools and cloud-based services offerings that are expanding access. The greatest challenge is the supply of a quantum workforce that can put quantum capabilities to work. Systems doing optimization approaches, like quantum annealing, are here today. The date for the availability of general purpose, practical quantum computers keeps getting closer. Some have said 2030 might be a target date and QuEra is talking about delivering their next-generation system in 2028. It's time to be getting quantum-literate today!
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Long-term advantage is triggering a quantum wave, but cost and immaturity remain barriers Cybersecurity, talent needs and ongoing adoption were key themes at Quantum.Tech USA 2025 Access to quantum hardware remains cloudy, but more options are starting to appearFor S&P Global subscribers:
Quantum road maps signal steady gains and a shift from promise to performance Long-term advantage is triggering a quantum wave, but cost and immaturity remain barriers – Highlights from VotE: Digital Pulse Quantum Computing Market Monitor & Forecast AI, quantum and high-performance computing join forces at SC25Host/Author: Eric Hanselman
Guests: Andy Ory and Ellie Brown
Producer/Editor: Dylan Scheible
Published With Assistance From: Feranmi Adeoshun and Sophie Carr
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This episode of our AI CEO series looks at the potential for AI capabilities to address one of AI's largest challenges – energy availability. Dr. Varun Sivaram, founder and CEO of Emerald AI, joins host Eric Hanselman to explore how greater flexibility is AI workloads can unlock unused capacity. Traditionally, data center construction has focused on delivering peak capacity, even at those times when it may not be needed. That doesn't mesh well with a power grid that is already under stress. AI intelligence can shift workloads dynamically to reduce data center demands when the power grid needs it and to leverage excess grid capacity when it's available.
Flexing AI workloads to respond to grid conditions isn't simple, but it can be more attractive than alternatives. Adding generation capacity is a long-term and expensive process and community concerns about rate increases are creating headwinds for new data center builds. Adding Battery Energy Storage Systems (BESS) are costly and have their own capacity and durability limitations. Flexing workload demand could address grid integration problems on a much shorter timeline.
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2026 Trends in Data Center Services & Infrastructure Geopolitics of data centers: An AI showdown that will reshape the world AI's global resource race: Challenges and opportunities Hyperscaler earnings quarterly: What price inference?For S&P Global subscribers:
Data Center Services & Infrastructure Market Monitor & Forecast: US ISO Region BYOP emerges as a strategic decision for data center operators in response to grid challenges US Independent System Operators 101 Service providers race to meet surging enterprise demand for AI infrastructure Survey Data Hub – VoCUL: Connected Customer, AI & Data Centers 2026Host/Author: Eric Hanselman
Guest: Varun Sivaram
Producer/Editor: Dylan Scheible
Published With Assistance From: Feranmi Adeoshun and Sophie Carr
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Market dynamics in data center buildouts and dealmaking are complex, but there are some common threads that are spanning the globe. Analysts Soon Chen Kang and Stefanie Williams join host Eric Hanselman to explore their research in the Asia Pacific market. AI demand is a driving force and concerns about power availability can be a headwind, but there are regional nuances that make the markets that comprise the APAC region unique. One treats the market as a cohesive whole at one's peril! Geopolitical concerns have a significant impact on both demand forces and capacity uptake. Access to GPU's to feed AI applications takes on new dimensions in a market where technology embargoes are moving workloads. Neoclouds are a new market provider and driving new builds, as well.
The boom days of speculative building have tapered off, in many cases, due to the availability of power, but that doesn't mean activity is slowing. Activity is shifting to find available capacity, but a common challenge in some of these early markets is the lack of transparency on both power deals and the build and financing processes. Check out the research to get more details.
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2026 Trends in Data Center Services & InfrastructureHost/Author: Eric Hanselman
Guests: Soon Chen Kang, Stefanie WilliamsProducer/Editor: Dylan Scheible
Published With Assistance From: Feranmi Adeoshun, Sophie Carr, Kyra Smith,
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We're in the early days of cost impacts for AI applications. While there are some cautionary tales, current spending seems to be a small fraction what's to come. Analysts Jean Atelsek and Melanie Posey return to the podcast to talk about what they heard at the FinOps X conference with host Eric Hanselman. The need for cost management in AI is seen as so great that the FinOps Foundation, a project of the Linux Foundation, is talking about morphing its conference into Tokenomicon and pivot into token economics. The portmanteau of tokenomics is sweeping across cloud and AI services providers, as well as IT vendors, as enterprises wrestle with dueling forces of AI acceleration and management constraints for access and cost.
Unlike FinOps for cloud operations, the costs and metrics for AI are fairly opaque. Some enterprises are trying to manage costs by limiting access, but that risks stifling the innovation and democratization that is supposed to come with AI transformation. Request routing is promising, but it requires understanding the nature of the request and the suitability of available infrastructure to fulfill it, something that is not well understood by many. Most are just getting comfortable with managing model lifecycles and the step up to cost management can be a large one.
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Compute sovereignty: The strategic importance of digital infrastructure Next in Tech | Ep. 222: FinOps – Managing Cloud and AI Costs AI in action: unleashing agentic potential Hyperscaler earnings quarterly: What price inference?For S&P Global subscribers:
FinOps in the age of agentic AI FinOps Foundation expands FinOps discipline beyond cloud to technology value management Service providers race to meet surging enterprise demand for AI infrastructure FinOps Market Monitor & ForecastHost/Author: Eric Hanselman
Guests: Jean Atelsek, Melanie Posey
Producer/Editor: Dylan Scheible
Published With Assistance From: Feranmi Adeoshun, Sophie Carr, Kyra Smith,
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There's great momentum in moving to greater levels of agentic automation, but there are critical areas where deeper consideration is required in how it's applied. In capital markets, trust is a foundational element on which transactions are built and Krisha Vinjamuri, Head of Technology, Enterprise Solutions at S&P Global Market Intelligence, joins host Eric Hanselman to talk about how this can be achieved and the important aspects of successful implementations.
One of the useful things in capital markets, is that there are open standards on which to base data ontologies. It's not exciting, but it's the basis of a semantic foundation that can not only ensure that there is depth in data definitions, but can also reduce errors generated by agents. The larger question that looms beyond the construction of foundational architecture, is how the operational envelope that bounds agentic action will be established. This has to be built from policy definitions that take those actions into account. There is great promise and much work that needs to be done.
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FinOps in the age of agentic AI AI Infrastructure Market Monitor & Forecast Service providers race to meet surging enterprise demand for AI infrastructure In 2026, the telecom network becomes codeCredits:
Host/Author: Eric Hanselman Guest: Krishna Vinjamuri Producer/Editor: Feranmi Adeoshun Published With Assistance From: Sophie Carr, Kyra Smith, Dylan Scheible -
Networking can be an invisible part of IT infrastructure, but AI is creating demands that make it a critical part of keeping AI application fed with data. Mike Fratto returns to the podcast to discuss both the long haul and local requirements for AI networking with host Eric Hanselman. It's always been important to link chunks of infrastructure efficiently, but AI's voracious need for data has dramatically increased the scope and scale of the need. The risk that any gap in performance or capacity presents is that precious GPU resources will be idled, an increasingly expensive proposition.
The realities of AI application architectures is that infrastructure is ever more hybrid, requiring access to repositories of data both on-premises and in various clouds and models scattered across various providers. The need for dynamic connectivity is driven by the rapid evolution of preferences for new models and the diversifying needs of agents to reach new data sources. It's not only forcing network expansion, but it's also driving M&A activity as network providers look to enhance automation in response to customer demands.
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MWC 2026: Agentic AI as the next operating model for networks and network operations AI Infrastructure Market Monitor & Forecast Service providers race to meet surging enterprise demand for AI infrastructure In 2026, the telecom network becomes codeCredits:
Host/Author: Eric Hanselman Guest: Mike Fratto Producer/Editor: Feranmi Adeoshun Published With Assistance From: Sophie Carr, Kyra Smith, Dylan Scheible -
The shifts that the agentic revolution is driving are felt in many areas of technology and Dell Technologies spans some of those that are seeing the greatest upheaval. The 451 Research team was in attendance at the annual Dell Technologies World conference and Brian Partridge, William Fellows, Henry Baltazar and Greg Macatee joined host Eric Hanselman to talk about their perspectives on the conference, agentic advancement and the technology market. Dell has positioned itself as a purveyor of not only the compute infrastructure needed to build the foundation for AI, but also as the custodian of AI's most critical raw material – data.
The rapid evolution of agentic applications has created a need for new capabilities that is being complicated by both technology infrastructure demands and geopolitical events. Supply chains are being challenged by increasing demand for storage at a time when silicon pipelines were already under tremendous pressure. All of this is happening as the costs of AI are starting to have a material impact on businesses. Tokenomics, the impact of the cost of producing AI tokens, has taken center stage.
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Host/Author: Eric Hanselman Guest: Brian Partridge, William Fellows, Henry Baltazar, Gregg Macatee Producer/Editor: Feranmi Adeoshun Published With Assistance From: Sophie Carr, Kyra Smith, Dylan Scheible -
One of the more interesting areas where AI is having an impact is in building operations. While building automation technology has made significant advances, AI is bridging gaps in building system controls. Analyst Zöe Roth has been researching the approaches and achievements from various smart building automation technologies and joins host Eric Hanselman to discuss what she's seen and what opportunities lie ahead. Some of the advances from data center information management (DCIM) systems are being applied to smart buildings. A typical building has multiple control capabilities for HVAC, lighting, and mechanical that often aren't interconnected and smart building systems can unify visibility and operations.
The integration of AI in smart buildings has to balance a number of different aspects of both the human in the loop for control and the scale that the introduction of cloud-based management offers. Fully autonomous operations may be some time off, but vendors are working to build trust and capability. Cloud-based systems can provide a consolidated view of a portfolio of buildings and improve maintenance operations, but face reluctance in some sectors where on-premises preferences prevail. AI is advancing rapidly and will accelerate further as it matures.
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451 Digital Industries Insider Next in Tech | Ep. 208: Smart SpacesFor S&P Global subscribers:
2026 Trends in IoT, Edge & Digital Industries Smart buildings 2025: Market trends, vertical strategies and vendor positioning Redefining OT security and ensuring operational continuity in the age of hybrid, AI-driven OTCredits:
Host/Author: Eric Hanselman Guest: Zöe Roth Producer/Editor: Feranmi Adeoshun with Barb Dalumpines Published With Assistance From: Sophie Carr, Kyra Smith, Dylan Scheible -
The rush to capitalize on agentic capabilities is in full swing in enterprise, but there is caution in operational settings, like industrial control systems. Getting to autonomy in these environments requires a greater consideration in design and implementation and Cody Falcon of ABB joins host Eric Hanselman to continue a conversation that started at CERAWeek to explore the many aspects that should be in consideration. Risk is, of course, much greater in physical systems and AI requires more complex guardrails to manage it. But the greater challenge is in building trust.
AI's ability to handle scope and scale can be tremendously valuable in control systems and the ready availability of telemetry and operational data give implementations a solid base to work from. The journey to autonomy is one that has to be built on proven successes. As with any new employee, agents will need to build trust.
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The CERAWeek conference Next in Tech | Ep. 259: The RSAC Conference – Agents on The Loose AI in action: unleashing agentic potential 2026 Trends in Information SecurityFor S&P Global subscribers:
Redefining OT security and ensuring operational continuity in the age of hybrid, AI-driven OT Tech Trend in Focus: Digital twins in the oil and gas industry 2026 Trends in IoT, Edge & Digital Industries Key learnings from the CERAWeek Chief AI Officer Leadership CircleCredits:
Host/Author: Eric Hanselman Guest: Cody Falcon, Global Digital Portfolio & Technology Leader, Energy Industries, ABB Producer/Editor: Feranmi Adeoshun Published With Assistance From: Sophie Carr, Kyra Smith, Dylan Scheible -
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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Next in Tech | Ep. 259: The RSAC Conference – Agents on The Loose AI in action: unleashing agentic potential 2026 Trends in Information SecurityFor S&P Global subscribers:
RSAC Conference 2026: Record turnout confronts both the promise and threat of agentic AI Information security budgets rise, but must address cloud security, AI governance – Highlights from… AI's impact in security and its application are not always aligned – Highlights from VotE: Informat…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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Join the Navigating Risk and Growth webinar here Nearly two-thirds of planned US BESS projects eligible for 40% tax credits Next in Tech | Ep. 245: The Big Picture ReportsFor S&P Global subscribers:
2026 Trends in Data Center Services & Infrastructure S&P Global Data Center & Energy Innovation Summit: Lending and investing Revamped US energy strategy — meeting AI-driven data center demand amid shifting geopoliticsCredits:
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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Data governance and privacy practices poised to support enterprise AI Survey Data Hub – Voice of the Enterprise: Data & Analytics, Data Governance & Privacy 2026 Generative AI Market Monitor & ForecastCredits:
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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Next in Tech | Ep. 262: Quantum CEO Series: Alan Baratz Next in Tech | Ep. 248:SC25 Supercomputing conference Quantum computing and the future of data privacyFor S&P Global subscribers:
Quantum Computing Market Monitor & Forecast AI, quantum and high-performance computing join forces at SC25 Access to quantum hardware remains cloudy, but more options are starting to appear Welcome to the International Year of Quantum Science and TechnologyCredits:
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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Next in Tech | Ep. 262: Quantum CEO Series: Alan Baratz Next in Tech | Ep. 248:SC25 Supercomputing conference Quantum computing and the future of data privacyFor S&P Global subscribers:
Quantum Computing Market Monitor & Forecast AI, quantum and high-performance computing join forces at SC25 Access to quantum hardware remains cloudy, but more options are starting to appear Welcome to the International Year of Quantum Science and TechnologyCredits:
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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Next in Tech | Ep. 248:SC25 Supercomputing conference Quantum computing and the future of data privacyFor S&P Global subscribers:
Quantum Computing Market Monitor & Forecast AI, quantum and high-performance computing join forces at SC25 Access to quantum hardware remains cloudy, but more options are starting to appear Welcome to the International Year of Quantum Science and TechnologyCredits:
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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MWC 2026: Agentic AI as the next operating model for networks and network operations Data Insight: GenAI in the contact center matures, as vendor focus shifts to proof of value In 2026, the telecom network becomes codeCredits:
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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Join the webinar: Putting AI agents to work Next in Tech | Ep. 250: The Agentic Enterprise | S&P Global Next in Tech | Ep. 205: Agentic AI Impacts 451 IT Insider October: A roundup for IT decision-makersFor S&P Global subscribers:
The rise of agentic sales execution Agentic experiences redefine retail execution at NRF 2026 From assistance to autonomy: Mapping the future of agentic commerceCredits:
Host/Author: Eric Hanselman Guests: Emily Jasper, Sheryl Kingstone Producer/Editor: Feranmi Adeoshun 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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An ominous opening for RSA AI, automation enhance SecOps by reducing alert burdens, boosting efficiency Software's bloodless evolution turns bloody Big Picture 2026 AI Outlook: Unleashing agentic potentialCredits:
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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Host/Author: Eric Hanselman Guest: Bryan Spear Producer/Editor: Feranmi Adeoshun Published With Assistance From: Sophie Carr, Kyra Smith -
We continue our CEO series with Douwe Kiela, the CEO of Contextual AI, who is addressing the challenges of building effective agentic applications. The shift to agentic amplifies the need for enterprises to improve their data management capabilities and infrastructure scaling. The best models won't perform well, if there isn't well built context to support them. Much like people, if there's not enough of the right information, decision making is going to suffer. There's an evolution from the prompt engineering needed to generate better results from LLM's, to the context engineering that crafts the right data to feed agents.
This is an area where agents can also help to tackle the data quality problem that many enterprises face. Standing the old computing paradigm on its head, effective agentic applications ought to take garbage in and put information out. Well built agentic architectures can understand data characteristics and not only evaluate its quality, but also classify it and apply the appropriate security controls to its use. The scope and scale of agentic potential demands much greater thought to achieve its full value. We need only look to the recent Open Claw project to see both the up and downsides.
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Agents in the enterprise: Laying the groundwork for automation The CX AI Agent Index 2025 Agents are already driving workplace impact and agentic AI adoption – Highlights from VotE Big Picture 2026 AI Outlook: Unleashing agentic potentialCredits:
Host/Author: Eric Hanselman Guest: Douwe Kiela Producer/Editor: Feranmi Adeoshun Published With Assistance From: Sophie Carr, Kyra Smith - Visa fler
