Remove 2024 Remove Risk 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.

Risk 111
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Reimagine application modernisation with the power of generative AI

CIO Business Intelligence

Maintaining, updating, and patching old systems is a complex challenge that increases the risk of operational downtime and security lapse. Indeed, more than 80% of organisations agree that scaling GenAI solutions for business growth is a crucial consideration in modernisation strategies. [2] The solutionGenAIis also the beneficiary.

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Where CIOs should place their 2025 AI bets

CIO Business Intelligence

We may look back at 2024 as the year when LLMs became mainstream, every enterprise SaaS added copilot or virtual assistant capabilities, and many organizations got their first taste of agentic AI. AI at Wharton reports enterprises increased their gen AI investments in 2024 by 2.3

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Overwhelmed cybersecurity teams need autonomous solutions

CIO Business Intelligence

They are inundated by increasingly potent cyber threats, especially as threat actors are now leveraging AI to enhance their attack strategies. According to Unit 42’s 2024 Incident Response Report , the median time between compromise and exfiltration accelerated to just two days in 2024 (from nine days in 2022).

Strategy 126
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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap. Understand how your work contributes to your company's strategy and learn to apply frameworks to ensure your features solve user problems that drive business impact.

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Strategies to combat GenAI implementation risks

CIO Business Intelligence

We examine the risks of rapid GenAI implementation and explain how to manage it. These examples underscore the severe risks of data spills, brand damage, and legal issues that arise from the “move fast and break things” mentality. This is a risk that many organizations don’t consider.

Risk 111
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CIOs face mounting pressure as AI costs and complexities threaten enterprise value

CIO Business Intelligence

Despite AI’s potential to transform businesses, many senior technology leaders find themselves wrestling with unpredictable expenses, uneven productivity gains, and growing risks as AI adoption scales, Gartner said. This creates new risks around data privacy, security, and consistency, making it harder for CIOs to maintain control.