What happens when companies have new releases on deck, and it is clear that the dev team is spread too thin?

Teams are always under pressure to deliver, but what if a project calls for overtime across the organization? What happens if those teams are pulled in competing directions?

When major projects are at stake, development teams may face a less-than-ideal circumstance: a race to meet deadlines with near-mandatory overtime.

Such “crunch time” can mean team members get pulled in different directions with little relief in sight until the project is done.

Under such circumstances, CTOs must prioritize where development teams focus, but what happens if other IT resources also need urgent support? New software and apps may need to be delivered, yet existing apps could still need attention.

In this episode of the podcast, Ken Ringdahl, CTO of Emburse, and Larissa Schneider, COO and co-founder of Unframe AI, discuss what happens when teams are spread thin and must deliver, and how they can work to avoid future periods of crunch time.

They also navigated the “Questionable Ideas ‘R’ Us” tabletop exercises, helping the fictional company address its crunch time issues.

Many organizations have at least explored the use of AI in coding, changing the game for professional developers and citizen developers alike. Not that long ago, the conversation focused on what no-code and low-code platforms meant for in-house development. Citizen developers, staffers with limited or no professional background in coding, could use these platforms to produce somewhat simplified apps.

That, in theory, left professional developers more time to focus on more robust, feature-rich software that required their skills.

Use of AI to code got off to a rocky start, with some companies accidentally releasing proprietary code into the wild. But now it seems AI is here to stay as a tool developers might use to streamline their work. Vibe coding – letting AI take much of the lead – takes it even further.

Where does that leave citizen developers, who may have been hitting their stride, and ecosystems that incorporated no-code/low-code platforms?

Krishna Kumar Tiwari, co-founder and CTO of Whilter AI; and Maruf Ahmed, CEO of Dexian, tackled these and other questions about the impact AI has on the citizen developer space.

Allan Leinwand, CTO of Webflow, and Pierre DeBois, founder and CEO of Zimana, discuss how organizations can realign when IT goes awry.

Internal or external forces can turn an IT ecosystem upside-down, and how CTOs lead the recovery may shorten or prolong the pain.

Whether it is an in-house coding error, hardware failure, third-party software implosion, malicious bad actors, or a force of nature that shakes things up, how does tech leadership restore confidence in the tech resources the organization relies on?

Michael Leland, field CTO for Island, and Diane Ma, US finance strategy and global business services practice leader for Deloitte, discuss delivering on a tech overhaul.

Samya Dassarma, CTO of Iterable, and Margaret Dawson, CMO of Chronosphere, discuss navigating wayward tech implementations.  

Dan Carpenter, Amplitude's CIO, discusses whether enterprises that adopt new technology face inevitable shifts in how they function.

Businesses have been through transformative times, from the Industrial Revolution to the dawn of the Digital Age. As a flurry of AI agents and tools emerges, what should CIOs look for in this next period of transformation? How does this era of change differ from cloud transformation?

Saket Srivastava, CIO of Asana, and Pierre DeBois, founder and CEO of Zimana, spoke to these and more questions in the latest InformationWeek podcast.

While the world waits for artificial general intelligence to awaken and take over, internal and external AI resources continue to be leveraged for transformations. Combined with the intense competition for talent to develop future iterations of AI, the potential scale of transformation powered by the technology could be ubiquitous.

Businesses have been through transformative times, from the Industrial Revolution to the dawn of the Digital Age. As a flurry of AI agents and tools emerges, what should CIOs look for in this next period of transformation? How does this era of change differ from cloud transformation?

Saket Srivastava, CIO of Asana, and Pierre DeBois, founder and CEO of Zimana, spoke to these and more questions in the latest InformationWeek podcast.

Harry Folloder, chief digital and technology officer for Alorica; and Brooke Huling, chief product officer for Accruent, break bread on productive ways they tap predictive data.

Building up an AI-enhanced workforce calls for more than telling staffers to use new tools and then hope for the best. Job roles can change, C-suite leadership may need new strategies, and the organization could face a different set of security and oversight concerns.

In this episode of the InformationWeek podcast, Michael Fanning, CISO for Splunk; and Andie Dovgan, chief growth officer with Creatio, came together for a Breaking Bread session, tackling the tech and operations aspects of making AI part of the workforce.