This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
CIOs were given significant budgets to improve productivity, cost savings, and competitive advantages with gen AI. Examples include scanning invoices, extracting basic contract information, or capturing information from PDF forms. AI at Wharton reports enterprises increased their gen AI investments in 2024 by 2.3
We had five different forecast engines running in the company through various acquisitions,” says Lars Ewe, who inherited the thorny IT environment when he joined as CTO in February 2020. Very little innovation was happening because most of the energy was going towards having those five systems run in parallel.”. Forecasting merger success.
Delivery leader for extendable platforms Should every devops team build their own CI/CD pipelines, configure their own infrastructure as code, and have a uniquely configured developer stack? One area enterprise architects can focus on is developing self-service cloud infrastructure for devops and data science teams.
By Andy Nallappan, ChiefTechnologyOfficer and Head of Software Business Operations, Broadcom Software The information technology that enables scientific and commercial breakthroughs, from precision medicine to digital transformation, demonstrates tech’s boundless potential to improve our world. IT Leadership.
Anyone who’s involved in the creation of software products should be well familiar with DevOps, a set of practices that combines software development and IT operations, with the goal of shortening the development lifecycle and providing continuous delivery and high-quality products. . CloudOps: A multilayered framework for cloud operations.
By far the fastest approach is to lift and shift the whole environment, says Matthew Hon, CTO for public sector at technology services company Fujitsu Americas, as rewriting applications for the cloud could take more than two years to complete. Cloud-native is much more than just technology,” Rubina says.
Successful AI teams also include a range of people who understand the business and the problems it’s trying to solve, says Bradley Shimmin, chief analyst for AI platforms, analytics, and data management at consulting firm Omdia. The data engineer is foundational for both ML and non-ML initiatives, he says. “For
But for Kapil Mehrotra, group CTO at National Collateral Management Services (NCMS), high turnover presented an opportunity to cut costs of the IT department, streamline its operations, and find a long-term solution to the perpetual skills scarcity problem. We then got into a task-based contract with the outgoing team members.
“For the more specialized IT needs, there just aren’t enough people to meet the demand,” says Michael Manos, CTO of Dun & Bradstreet. But CIOs are also working with niche consultancies and startups for skills in areas such as cybersecurity, AI, cloud, analytics, and DevOps.
Roland Carandang, global leader for innovation at consultancy Protiviti, says the fact that organizations “don’t know what they’ve got” in and around those legacy systems can also stymie IT’s efforts to innovate. As former CTO and head of digital at Harley-Davidson Motor Co., They’re creative and empower their teams to ideate.
The implications of this convergence are many and there are already hundreds of instances in business, software, devops, agentic processes and many more sectors with similar stories and use cases. Funding for this is minimal at first and likely to grow — outside of the IT budget.
Why FinOps is failing FinOps a framework formed by combining Finance and DevOps was introduced in the early 2010s as cloud adoption surged, addressing financial accountability and cost optimization in the cloud. Overemphasis on tools, budgets and controls. A fundamental change in approach is urgently needed.
Agentic AI will integrate smoothly with ERP, CRM, and business intelligence systems to automate workflows, manage data analysis, and generate valuable reports, says Rodrigo Madanes, global innovation AI officer at EY, a consulting and tax services provider.
In the digital transformation era, IT success is no longer defined by meeting a go-live date or keeping within a budget. Change management is not something that can be haphazardly addressed toward the end of a transformation-type initiative,” says Matt Mead, CTO at technology modernization firm SPR.
We organize all of the trending information in your field so you don't have to. Join 83,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content