Remove Responsible AI Machine Partner, or RAMP,
article thumbnail

10 best practices when partnering for strategic skills

CIO Business Intelligence

Enterprise CIOs have always been at a disadvantage competing with tech firms for skilled IT pros, but accelerated transformation efforts and an AI gold rush have significantly intensified the talent war, prompting CIOs to increasingly turn to outside firms for help. Last June, for example, Dun & Bradstreet launched D&B.AI

article thumbnail

Prioritizing AI? Don’t shortchange IT fundamentals

CIO Business Intelligence

Generative AI continues to dominate IT projects for many organizations, with two thirds of business leaders telling a Harris Poll they’ve already deployed generative AI tools internally, and IDC predicting spend on gen AI will more than double in 2024. But the usual laundry list of priorities for IT hasn’t gone away.

Hardware 142
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

3 things to consider when building responsible GenAI systems

CIO Business Intelligence

Generative AI (GenAI) has the potential to transform entire industries, especially in customer service and coding. If Act One of digital transformation was building applications—for example, building omnichannel customer experiences—then Act Two is adding GenAI. What are the challenges? It’s about raising the tide for all boats.

System 74
article thumbnail

8 big IT failures of 2023

CIO Business Intelligence

Both United Airlines and Hawaiian Airlines saw service outages in 2023 resulting from wonky software upgrades, and Southwest ended the previous year with a Christmas travel meltdown blamed on outdated systems. Honestly, it’s a wonder the system works at all. Probably the worst IT airline disaster of 2023 came on the government side, however.

Backup 138
article thumbnail

AI, predictive analytics top list of hot technologies for banks

CIO Business Intelligence

The report, based on survey responses from tech decision makers in banks and their technology vendors, categorizes 30 different technologies into three main categories: “hot,” “on-the-radar,” and “hype.”. AI enhances operational efficiency. Almost 33% of respondents claim that machine learning can lead to improved customer experience.

Banking 143
article thumbnail

10 things keeping IT leaders up at night

CIO Business Intelligence

That’s not to say they’re looking to ditch their roles or smash machines, as the real Luddites had. For example, it highlighted a 153% rise in global ransomware attacks from September 2022 to September 2023. AI fallout It doesn’t take a data scientist to predict that AI would be on this list.

article thumbnail

10 key roles for AI success

CIO Business Intelligence

But the success of their AI initiatives depends on more than just data and technology — it’s also about having the right people on board. An effective enterprise AI team is a diverse group that encompasses far more than a handful of data scientists and engineers. Data scientists are the core of any AI team. Data scientist.