Jeff Reihl, CTO for the legal and professional side of LexisNexis, discusses how the introduction of AI changed their project plans.

The duties of C-suite tech leadership at enterprises are changing rapidly of late. AI shook up strategies at many companies and can lead to new demands on CIOs, CTOs, and others responsible for technology plans and use.

The core principles that guide CIOs and CTOs can be essential for navigating such times, especially when organizations look to them for direction.

In this episode, Matt Lyteson, CIO of IBM, and Phillip Goericke, CTO of NMI, share some key principles that define their respective roles at their organizations. They also discuss where they picked up some of the lessons that shaped those principles, how their jobs have changed since they got their starts, and who they look to for inspiration as leaders -- as well as what they wish they knew when they got started.

With more AI models emerging, how do CIOs and CISOs at enterprises go about establishing security guardrails to reduce risks as the technology gets deployed?

In the early months of the AI craze, the business world saw incidents where proprietary code got into the wild after being fed to AI. There have also been concerns about AI being tapped to launch cyberattacks, as well as AI used within organizations creating unintended access opportunities bad actors might leverage.

What top risks, internal and external, are CIOs and CISO worried about when it comes to AI? What concerns do CIOs have about bringing a new, third-party AI model inhouse, especially as more models emerge?

Carl Froggett, CIO for Deep Instinct; Rob Lee, chief of research and head of faculty at SANS Institute; and Mike Levin, CISO and general counsel with Solera Health, tackled these and other questions in this episode.

Will the development of these resources proceed in tandem at enterprises, or must CIOs evolve these technologies with separate strategies?

Luiz Domingos, CTO for Mitel; Jon Kuhn, senior vice president of product for Delinea; Anshu Jain, co-Founder and CTO with Outmarket AI; and Steve Williams, CISO, NTT DATA tackled that and other questions in this episode.

Is putting a data center under the ocean or in orbit just a novelty or a future-forward idea?

Data centers have been installed put undersea and now in space -- do these exotic locations seem more like a novelty than a benefit to enterprise operations? One benefit is access to natural sources of cooling for data centers, either in the freezing temperatures in space or cold waters of the sea.

Dmitry Zakharchenko, chief software officer for Blaize; and Alvin Nguyen, senior analyst with Forrester, discussed these topics with Shane Snider, senior writer with InformationWeek joining in.

As stakeholders in the cloud try their hands at developing quantum compute chips and related resources, is there a symbiotic evolution of tech in the making?

This episode brought together James Kaplan, partner with McKinsey; Rich Salz, principal architect at Akamai; Matthew Keesan, vice president and general manager of quantum computing and platform with IonQ; and Daniella Pontes, quantum ambassador.

They discussed that question as well as should enterprises make an effort to be quantum-ready, AI-ready, as well as cloud-ready -- or does this become a point of confusion for CIOs?

There may be a new era of DeFi in the offing if regulation eases up, and stakeholders in this sector see new potential understandings with watchdogs.

This episode of DOS Won’t Hunt brought together Wenny C., partner with SynFutures; Martin de Rijke, head of growth for Maple Finance; Alan Orwick, co-founder of Quai; and Gerald Gallagher, general counsel at Sei Labs.

This episode brought together Tatum Tummins, senior product manager with Kion; Edward Walsh, senior managing consultant for IBM’s global cloud advisory practice; Jason Hardy, vice president and CTO of AI at Hitachi Vantara; Joe Jacir, cloud architect for enVista; Stephen Manley, CTO with Druva; and Dave Driggers, CTO and founder of Cirrascale.

They discussed whether AI might devour the critical capacity needed at data centers that makes the cloud worthwhile. They dove into other questions such as whether there is a tipping point where cloud loses its viability if AI gobbles up capacity at data centers.