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Wed Aug 25 UTC (almost 2 years ago)
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Data Analytics, artificial intelligence and cloud computing are the key drivers for digital transformation in the age of COVID. Enterprises are looking at leveraging analytics and AI to improve decisions, and cloud to improve efficiency. The most mature enterprises are going further and applying these forces to one another. They make analytics and AI more agile with cloud and analytics processes more effective with AI. The risk lies in complexity - individual tools, teams and projects often necessitate new skills, rely on hand coding and other techniques that don't scale, and compete for limited resources.
With data sprawling across databases, data warehouses, data lakes, and data marts, across many clouds and on-premises, enterprises are grappling with how to centrally manage and govern their usage.
It has also become increasingly important to integrate data in real-time, couple it with the right AI techniques, to help improve decision making, innovate faster, and elevate customer experiences.
Data must be thought of as an resource that integrates all aspects of working with it. DAICON explores how every industry is accelerating their shift of being digital-first as they recognize data is the essential ingredient for value creation and the key to advancing their digital transformation.
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