Artificial Inteligence Leadership Vendor Management 
CIO
NOVEMBER 1, 2023
There’s indeed a lot of hype around the latest wave of large language models (LLM) and associated tools, yet beneath the noise, there’s a whisper about how the technology will one day become indispensable. But in its current state, it’s just a toolbox.” The big question is what to do with it now.
CIO
OCTOBER 21, 2024
The panelists identified three high-risk functions that organizations in the Middle East must prioritize—credential management, vendor management, and patch management. These areas, often neglected or poorly managed, can expose businesses to serious vulnerabilities.
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CIO
DECEMBER 12, 2023
Anthony Battle is leaning heavily on AI and IA — artificial intelligence and intelligent automation — to deliver digital transformation at luxury auto maker Jaguar Land Rover. Battle joined JLR as group chief digital and information officer in February 2022, after a long career managing IT for a succession of oil companies.
CIO
JULY 24, 2024
Say, for example, a marketing team is using an LLM to summarize an article, and a human reviews the work, says Priya Iragavarapu, VP of data science and analytics at AArete, a management consulting firm. Then I don’t think we need to worry so much about the LLM itself being fully aligned with your organization and culture,” she says.
CIO
JUNE 6, 2024
And training an LLM from scratch was too cost prohibitive. While on-prem, open-source LLMs were considered, they’d require significant investment in infrastructure and might not offer the same level of versatility as commercial models like GPT-4,” he says. Do we understand what they’re doing with our data?”
CIO
JUNE 12, 2023
It can be about anything from classic data analysis and advanced data analysis, to robotics or machine learning. The vast majority of companies already have a structure for analytics and machine learning, so we’re already there; it doesn’t add much,” she adds. It’s all called AI, she says.
CIO
AUGUST 22, 2023
It is driven by changes in customer expectations, opportunities to evolve employee experiences, and building differentiating capabilities with data, analytics, and artificial intelligence — all of which have no clear end point, nor are exclusively technology-focused. Digital Transformation, IT Leadership, Staff Management
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