Above all, these forecasts highlight the need for CIOs to align their IT investments with their broader business strategy. It’s not enough to simply chase the latest trends; every technology move must be aligned with the company’s goals. By fostering collaboration between technology experts and business leaders, up for sustainable growth and success in the digital age.
In conclusion, IDC’s forecasts paint a bright picture of the road ahead for CIOs navigating an ever-changing technology landscape. The opportunities for innovation are vast, from AI to automation to analytics. But it’s not just about implementing shiny new tools; it’s also about building a solid foundation of data management, resilient platforms, and proactive cybersecurity measures.
Mitigating Shadow AI Risks by Implementing the Right Policies
20.03.2024
With the rise of artificial intelligence, security is pakistan mobile database increasingly important in every organization, which creates a new problem - "shadow AI" applications that need to be checked for compliance with security policies, writes Kamal Srinivasan, senior vice president of product and program management at Parallels (part of Alludo), on the Network Computing portal.
The shadow IT problem of recent years has evolved into the shadow AI problem. The growing popularity of large language models (LLM) and multimodal language models has led to product teams within organizations using these models to create use cases that improve productivity. Numerous tools and cloud services have emerged that make it easier for marketing, sales, engineering, legal, HR, and other teams to create and deploy generative AI (GenAI) applications. However, despite the rapid adoption of GenAI, security teams have yet to figure out the implications and policies. Meanwhile, product teams building applications are not waiting for security teams to catch up, creating potential security issues.
CIOs can set their organizations
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