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If 2023 was the year of AI discovery and 2024 was that of AI experimentation, then 2025 will be the year that organisations seek to maximise AI-driven efficiencies and leverage AI for competitive advantage. Primary among these is the need to ensure the data that will power their AI strategies is fit for purpose.
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 sovereignty and local cloud infrastructure are expected to remain high on the agenda, particularly within the GCC countries.
British multinational packaging giant DS Smith has committed itself to ambitious sustainability goals, and its IT strategy to standardize on a single cloud will be a key enabler. The single-cloud platform strategy will include SaaS partners used for automation of more than 40 enterprise applications, Dickson says.
Beyond the fundamentals of cross-device interactions, privacy, and security, becoming a leader in the programmable world will require wide-ranging exploration, experimentation, and development. billion by 2030. There are endless avenues to enable new ways to augment, customize, and otherwise “program” our physical environments.
Data scientists are becoming increasingly important in business, as organizations rely more heavily on data analytics to drive decision-making and lean on automation and machine learning as core components of their IT strategies. Data science is a fast growing field, with the BLS predicting job growth of 22% from 2020 to 2030.
trillion to the global economy in 2030, more than the current output of China and India combined.” Automated development: With AutoAI , beginners can quickly get started and more advanced data scientists can accelerate experimentation in AI development. PwC calculates that “AI could contribute up to USD 15.7
Regardless, given the wide range of predictions for AGI’s arrival, anywhere from 2030 to 2050 and beyond, it’s crucial to manage expectations and begin by using the value of current AI applications. These systems excel within their specific domains but lack the general problem-solving skills envisioned for AGI.
To keep ahead of the curve, CIOs should continuously evaluate their business and technology strategies, adjusting them as necessary to address rapidly evolving technology, business, and economic practices. Most of all, the following 10 priorities should be at the top of your 2025 to-do list.
Saudi Arabias Vision 2030 emphasizes a technology-driven transformation to achieve its social, economic, and environmental goals, focusing on adopting and producing advanced innovations to position itself as a global leader in technological disruption.
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