7. Intelligent Composable Business

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6. Cybersecurity Grid
The cyber security mesh will enable secure access to any digital asset, regardless of where the person or asset is located. Using a cloud delivery model, it separates policy enforcement from policy decision making, so identity will become the security perimeter. By 2025, the security mesh will support more than half of digital access control requests. “The COVID-19 pandemic has accelerated the multi-year process of digital transformation of the enterprise. We have passed a tipping point - most of the cyber assets of organizations are now located outside of traditional physical and logical security perimeters. The access-from-anywhere model of operations continues to evolve. In this regard, the cyber security mesh will become the most practical approach to ensure secure access and use of cloud applications, as well as distributed data from uncontrolled devices,” the expert said.

“Static business processes that were built to albania mobile database efficiency have proven so fragile that they have collapsed under the impact of the pandemic. CIOs and IT leaders are beginning to understand the importance of business capabilities that adapt to the pace of change,” Burke said. An intelligently composable business reshapes decision making by gaining better access to information and responding to it more quickly. For example, in the future, machines will improve decision making with a rich structure of data and information. An intelligently composable business will enable new digital and business models, autonomous operations, new products, services, and channels.

8. AI engineering
Gartner research shows that only 53% of AI projects make it from prototype to production. CIOs and IT leaders struggle to scale them because they lack the tools to build and manage an enterprise-grade AI pipeline. The path to industrial-grade AI means turning to AI engineering, a discipline focused on managing the lifecycle of a wide range of AI operational models and solutions like machine learning or knowledge graphs. This discipline relies on three main pillars: DataOps, ModelOps, and DevOps.