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One of the world’s largest risk advisors and insurance brokers launched a digital transformation five years ago to better enable its clients to navigate the political, social, and economic waves rising in the digital information age. Simultaneously, major decisions were made to unify the company’s data and analytics platform.
Shift AI experimentation to real-world value GenerativeAI dominated the headlines in 2024, as organizations launched widespread experiments with the technology to assess its ability to enhance efficiency and deliver new services. Most of all, the following 10 priorities should be at the top of your 2025 to-do list.
One of the world’s largest risk advisors and insurance brokers launched a digital transformation five years ago to better enable its clients to navigate the political, social, and economic waves rising in the digital information age. Simultaneously, major decisions were made to unify the company’s data and analytics platform.
Gain stronger control over data Jae Evans, global CIO and executive vice president at Oracle, is planning to prioritize data control in 2024, and CIOs across industries would be wise to follow suit. “As As a large enterprise, we have vast amounts of data from disparate sources,” she says. Assume that attacks are inevitable.”
IT leader and former CIO Stanley Mwangi Chege has heard executives complain for years about cloud deployments, citing rapidly escalating costs and data privacy challenges as top reasons for their frustrations. It noted decreased repatriation plans for engineering/technical workloads. “We a private cloud).
I used figures of speech and financial terms they understood, and I kept well away from technical jargon because that wasn’t my audience. She adds that storytelling is also being used increasingly in M&A, and she’s advised on Accenture’s recent acquisition of UK creative change management consultancy, The Storytellers.
And now, with that cloud foundation, Cushman & Wakefield CDIO Salumeh Companieh is putting that product mindset to work to make the most of AI, including a range of generativeAI platforms aimed at improving workflow outcomes and productivity. It’s also important to start small, she advises.
Such partnerships include long-standing ones such as business consultancies to advise on transformation efforts, software vendors with expertise in vertical or horizontal solutions, system integrators to help design and implement multi-vendor tech stacks, and managed service providers to run and optimize targeted IT domains.
Ralph Loura, former SVP and CIO, Lumentum Lumentum That move soon led to a job running a datacenter and increasingly more senior roles, including stints as CIO at Symbol Technologies, Clorox, and HP’s Enterprise Group. NTT i 3 ), a research and development center; and CIO and CTO of Magellan Health.
Questionable outcomes and a lack of confidence in generativeAIs promised benefits are proving to be key barriers to enterprise adoption of the technology. Most organizations should avoid trying to build their own bespoke generativeAI models unless they work in very high-value and very niche use cases, Beswick adds.
But gen AI in the enterprise has seen incredible hype, with actually few value-added use cases , analysts popping the bubble, and some tech leaders pulling the plug. The recent deceleration in interest around AI has Tim Crawford, CIO Strategic Advisor at AVOA, cautioning leaders to make sensible investments.
But edge AI computing will liberate AI from datacenters and centralized servers in the cloud to manufacturing floors, operating rooms, and throughout municipal centers, processing data in real-time and closer to IoT devices, sensors, and intelligent systems. This speeds up the AI considerably.
Also, required AI knowledge and skills are not clearly defined. Its a technical marvel looking for a purpose. A lot of this growing demand comes from datacenters that power AI models. Organizations should track and project datacenter power usage.
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