Quantum CEO Series: Amir Naveh

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.   More S&P Global Content: 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 privacy   For 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 Technology   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.   More S&P Global Content: 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 privacy   For 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 Technology   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.   More S&P Global Content: Next in Tech | Ep. 248:SC25 Supercomputing conference Quantum computing and the future of data privacy   For 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 Technology 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. More S&P Global Content: CPaaS Commentary Next in Tech | Ep. 250: The Agentic Enterprise | S&P Global Next in Tech Episode 224: Context around MCP Next in Tech | Ep. 205: Agentic AI Impacts   For S&P Global subscribers: 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 code   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   More S&P Global Content: 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-makers   For 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 commerce   Credits: 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.    More S&P Global Content: 451 Research RSAC Breakfast 2026: Beyond the shine of AI, a new cyber reality is unfolding Next in Tech | Ep. 222: FinOps – Managing Cloud and AI Costs Next in Tech | Ep. 205: Agentic AI Impacts       RSAC Conference 2025: Breaking records at the threshold of uncertainty   For S&P Global subscribers: 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 potential   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.    More S&P Global Content: Look Forward Journal: Geopolitics of data centers Next in Tech | Ep. 222: FinOps – Managing Cloud and AI Costs Next in Tech | Ep. 205: Agentic AI Impacts           For S&P Global subscribers: 2026 US Data Centers and Energy Report Highlights from Enlit Europe 2025: Flexibility, visibility and digital energy Big Picture 2026 AI Outlook: Unleashing agentic potential Credits: 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.   More S&P Global Content: Next in Tech | Ep. 244: Agentic Customer Experience Next in Tech | Ep. 222: FinOps – Managing Cloud and AI Costs Next in Tech | Ep. 205: Agentic AI Impacts AI for security: Agentic AI will be a focus for security operations in 2025   For S&P Global subscribers: 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 potential   Credits: Host/Author: Eric Hanselman  Guest: Douwe Kiela Producer/Editor: Feranmi Adeoshun Published With Assistance From: Sophie Carr, Kyra Smith      

The next in our series of discussions with CEO's of companies that are putting AI to work has Fransico Martin-Rayo of Helios discussing the agricultural supply chain with host Eric Hanselman. Helios is leveraging AI to generate insights in the complex dynamics of food production and sourcing at a dramatically finer level of granularity. AI not only enables more complex analysis but also allows customized delivery of the results. Shifting interfaces from legacy dashboards and static reports to queryable constructs lets users explore the analyses in ways that better fit their needs. AI can deliver custom insights at scale in ways that weren't possible with traditional application interfaces. One of the principal shifts accelerating AI, is the availability of better data. Helios integrates massive weather data sets with market history and global events to generate forecasts. While the volumes of data are growing it's seen significant reductions in the cost per token in their infrastructure. Improving efficiency can expand the depth of analysis, as well as the frequency of forecast updates. More S&P Global Content: ANALYSIS: Tariff gap likely to keep China's soybean imports anchored to Brazil India to export 2.5 million mt wheat after near 4-year ban Look Forward Journal: Geopolitics of data centers Next in Tech | Ep. 209: Datacenters and Energy Markets in Europe For S&P Global Subscribers: 2026 Trends in Data, AI & Analytics 2026 US Data Centers and Energy Report Highlights from Enlit Europe 2025: Flexibility, visibility and digital energy Credits: Host/Author: Eric Hanselman Guest: Francisco Martin-Rayo, CEO and Co-Founder of Helios Producer/Editor: Feranmi Adeoshun Published With Assistance From: Sophie Carr, Kyra Smith

We're kicking off a new series of discussions with CEO's of companies that are putting AI to work to tackle complex problems. Sean Kelly of Amperon joins host Eric Hanselman to dig into how they're using AI for energy grid forecasting. The combination of weather, changes in generation capacity with renewables, and now increased data center demand is making forecasting a critical requirement for grid stability, as well as energy trading. While this might have been a problem that could be tackled with spreadsheets back in the day, scope and scale of the problem has grown to a size that is outstripping traditional methods. AI-based approaches can scale, but there are challenges with managing the size of the datasets being used and the computational costs that some models demand. Effective integration of AI into complex problem solving demands not only a deep understanding of the problem space, but also innovation in sourcing data and scaling its applications. The payoff can be much faster results with greater perspective depth. But that requires investment in automation and careful engineering to get there.  More S&P Global Content: Look Forward Journal: Geopolitics of data centers Next in Tech | Ep. 209: Datacenters and Energy Markets in Europe For S&P Global Subscribers: 2026 Trends in Data, AI & Analytics Revamped US energy strategy — meeting AI-driven data center demand amid shifting geopolitics 2026 US Data Centers and Energy Report Highlights from Enlit Europe 2025: Flexibility, visibility and digital energy Credits: Host/Author: Eric Hanselman Guest: Sean Kelly, CEO, Amperon Producer/Editor: Feranmi Adeoshun Published With Assistance From: Sophie Carr, Kyra Smith