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So, in keeping with the New Years spirit, we asked multiple CIOs about their professional resolutions for 2025. Balancing the rollout with proper training, adoption, and careful measurement of costs and benefits is essential, particularly while securing company assets in tandem, says Ted Kenney, CIO of tech company Access.
Experienced CIOs know there is never a blank check for transformation and innovation investments, and they expect more pressure in 2025 to deliver business value from gen AI investments. As gen AI heads to Gartners trough of disillusionment , CIOs should consider how to realign their 2025 strategies and roadmaps.
How does our AI strategy support our business objectives, and how do we measure its value? Meanwhile, he says establishing how the organization will measure the value of its AI strategy ensures that it is poised to deliver impactful outcomes because, to create such measures, teams must name desired outcomes and the value they hope to get.
The report underscores a growing commitment to AI-driven innovation, with 67% of business leaders predicting that gen AI will transform their organizations by 2025. The report suggested that the quality of organizational data remains a top obstacle, with 85% of respondents citing it as the most significant challenge for 2025.
Gartner also recently predicted that 30% of current gen AI projects will be abandoned after proof-of-concept by 2025. Operating profit gains from AI doubled to nearly 5% between 2022 and 2023, with the figure expected to reach 10% by 2025, she adds.
Research from IDC predicts that we will move from the experimentation phase, the GenAI scramble that we saw in 2023 and 2024, and mature into the adoption phase in 2025/26 before moving into AI-fuelled businesses in 2027 and beyond. So what are the leaders doing differently? The SAS research project explores this in detail.
This transition represents more than just a shift from traditional systemsit marks a significant pivot from experimentation and proof-of-concept to scaled adoption and measurable value.
Data scientists at Bayer have developed several proofs of concept of generative AI models on the new platform that remain in discovery and evaluation phase for “efficacy,” McQueen says, adding that the models won’t be in production until 2025. The R&D pipeline is pretty highly confidential at this point,” he says.
Success depends on understanding data needs, measuring ROI, fostering organizational AI fluency and partnering with ethically aligned ecosystems. Balancing bold innovation with operational prudence is key , fostering a culture of experimentation while maintaining stability and sustainability.
It’s aggressively deploying those to Azure data centers, which won’t require any changes by customers, and expects these investments to come closer to meeting demand by mid 2025. Measuring costs and value The other major issue with gen AI is the price. But experimentation to achieve significant results takes time.
Of roughly 2,500 CIOs surveyed recently by Gartner, 9% say they have already deployed gen AI applications, and a staggering 55% say they will deploy large language models (LLMs) in production by the end of 2025. CarMax CITO Shamim Mohammed confirms his company was using OpenAI’s GPT-3.x
It wasn’t just a single measurement of particulates,” says Chris Mattmann, NASA JPL’s former chief technology and innovation officer. “It It was many measurements the agents collectively decided was either too many contaminants or not.” They also had extreme measurement sensitivity.
.” When observing its potential impact within industry, McKinsey Global Institute estimates that in just the manufacturing sector, emerging technologies that use AI will by 2025 add as much as USD 3.7 trillion in value. AutoAI automates data preparation, model development, feature engineering and hyperparameter optimization.
This shift from relational to graph approach has been well-documented by Gartner who advise that “using graph techniques at scale will form the foundation of modern data and analytics” and “graph technologies will be used in 80% of data and analytics innovations by 2025.”
As ICSs develop plans to deliver around 30% more elective activity by 2024-2025 than before the pandemic, the need to retain clinical staff is paramount. This is being particularly felt by trusts as the high volume of nursing staff vacancies impacts operational delivery and patient care. Resetting urgent care performance and delivery.
As 2025 dawns, CIOs face an IT landscape that differs significantly from just a year ago. Most of all, the following 10 priorities should be at the top of your 2025 to-do list. Now, however, many IT leaders are moving past the experimentation stage with the expectation that gen AI investments should begin delivering actual value.
At the 2025 World Government Summit in Dubai, Google & Alphabet CEO Sundar Pichai joined H.E. Discussing Waymo, Googles self-driving car initiative, Pichai highlighted its safety record and expansion plans, aiming to serve 10 new cities in 2025 and conduct international testing in Japan.
IT leaders, data executives, and business decision-makers are moving beyond early GenAI experimentation and shifting their focus to operationalizing AI at scale for measurable impact.
This shift demands clear goal alignment, relentless cross-functional collaboration, and a culture where experimentation and data-driven decisions lead the way. We also need to focus on measuring what matters and track more than financial outcomes. Prioritize user engagement, time to value, and retention.
AI investment and pressure grew upward As AI has moved from emerging to mainstream, and organizations matured in their ability to harness AIs potential over the past year or two, CEOs now expect less experimentation and more AI projects that deliver outcomes with measurable business value.
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