1. Implementation of artificial intelligence, automation and analytics

[Rakhirandiseo]

Here are five key predictions every CIO should know:

By 2028, 85% of CIOs are predicted to be driving organizational change to embrace AI, automation, and analytics, creating agile, insight-driven digital business. This means CIOs will have to be ahead of the curve in understanding these technologies and implementing them effectively within their organizations. The most challenging aspect will not be the technology, but the alignment of business and technical cultures to successfully implement these changes.

2. Pressures associated with the introduction of digital technologies
In 2024, 65% of CIOs will need to adopt digital technologies like generative AI (GenAI) and deep intelligence. However, insufficient IT support can reduce the benefits and increase the risks. CIOs need to ensure they have the support and talent to meet these challenges and take advantage of these disruptive technologies. In some cases, IT can leverage or train existing internal talent, but in other cases, CIOs will need to outsource the initial talent and support.

3. Proactive cybersecurity measures
By 2027, 75% of CIOs will integrate peru mobile database measures directly into systems and processes to proactively detect and mitigate vulnerabilities, protecting against cyber threats and breaches. This highlights the growing importance of a multi-layered, systematic, and systemic approach to cybersecurity, rather than the traditional point-by-point approach that organizations have used for years.

4. Prioritize strategic data management
By 2025, 45% of CIOs will prioritize strategic data management and building a data-centric culture to drive competitive advantage in the digital era. This means CIOs will need to focus on managing and leveraging data across their organizations, ensuring it is used strategically to drive business outcomes. As part of this, IT organizations will need to work with the business to determine what data is critical to driving business outcomes, as well as ensure the quality of that data. And as part of building a data-centric culture, building a common data platform (meaning not just one tool, but a common set of processes, practices, and data availability) is critical to enterprise success.