CIO
MARCH 12, 2024
Generative AI is already having an impact on multiple areas of IT, most notably in software development. Still, gen AI for software development is in the nascent stages, so technology leaders and software teams can expect to encounter bumps in the road. One example is with document search and summarization.
TechEmpower CTO
DECEMBER 11, 2023
million software developers worldwide. Given this diversity, it's important to be selective in the development services company with whom you choose to partner. By following these guidelines, you'll be better equipped to select a web development company that accurately reflects your project aspirations.
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CIO
DECEMBER 20, 2023
At the same time, developers are scarce, and the demand for new software is high. This has spurred interest around understanding and measuring developer productivity, says Keith Mann, senior director, analyst, at Gartner. Organizations need to get the most out of the limited number of developers they’ve got,” he says.
CIO
SEPTEMBER 6, 2023
Specifically, organizations are contemplating Generative AI’s impact on software development. While the potential of Generative AI in software development is exciting, there are still risks and guardrails that need to be considered. AI is going to change the way developers work.
Speaker: Leo Zhadanovsky, Principal Solutions Architect, Amazon Web Services
Amazon's journey to its current modern architecture and processes provides insights for all software development leaders. To get there, Amazon focused on decomposing for agility, making critical cultural and operational changes, and creating tools for software delivery.
Henrik Warne
SEPTEMBER 10, 2023
Lately I have been thinking about what I have changed my mind about in software development. However, I was a bit skeptical of exactly how it would work in software development. But my colleague Filip kept telling me of all the cases where he used ChatGPT to help with development. Using ChatGPT.
InfoWorld
APRIL 2, 2024
It’s hard to believe that the agile software development methodology officially turned 20 years old last year. What once was an outlying practice for startups collaborating in colocated spaces with stickies and whiteboards is now a sophisticated, scalable, and widely used set of agile software development processes and tools.
Speaker: Eran Kinsbruner, Best-Selling Author, TechBeacon Top 30 Test Automation Leader & the Chief Evangelist and Senior Director at Perforce Software
It's no secret that CTOs need to have a full understanding if they want to be successful, but does that make them responsible for developer productivity? While advancements in software development and testing have come a long way, there is still room for improvement.
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In a recent study, IDC found that 64% of organizations said they were already using open source in software development with a further 25% planning to in the next year. Most organizations are unaware of just how much open-source code is used and underestimate their dependency on it.
Advertiser: Data Robot
As enterprises evolve their AI from pilot programs to an integral part of their tech strategy, the scope of AI expands from core data science teams to business, software development, enterprise architecture, and IT ops teams.
Speaker: Dr. Rebecca Parsons, CTO of ThoughtWorks
The software development ecosystem exists in a state of dynamic equilibrium, where any new tool, framework, or technique leads to disruption and the establishment of a new equilibrium. The connection between software architecture and team structure. Tuesday January 12th, 2021 at 11AM PST, 2PM EST, 7PM GMT.
Speaker: Suzie Prince, Head of DevOps, Atlassian
Luckily, the culture of DevOps and the practice of Continuous Delivery supports product managers and their teams as modern software development evolves at a rapid pace. Join Suzie Prince, Head of Product for DevOps at Atlassian, and make sure your software team never misses a beat during the pandemic.
Speaker: Beekey Cheung, Software Consultant, Professor Beekums, LLC
Estimates are a contentious topic in software development. Most of our development teams hate providing estimates and many managers are starting to view them as unnecessary. As senior software leaders, how can we determine whether estimates are helpful or harmful to our teams?
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