Remove 2030 Remove Experimentation Remove Strategy
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It’s 2025. Are your data strategies strong enough to de-risk AI adoption?

CIO Business Intelligence

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.

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IDC Directions: The META region’s path to AI-Driven digital transformation

CIO Business Intelligence

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.

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DS Smith sets a single-cloud agenda for sustainability

CIO Business Intelligence

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.

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Reimagining technology for the next generation

CIO Business Intelligence

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.

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What is a data scientist? A key data analytics role and a lucrative career

CIO Business Intelligence

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.

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How to choose the best AI platform

IBM Big Data Hub

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

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

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.