13th July 2021

Architecting an AI Ecosystem

This session will include a review of a recent worldwide Digital Transformation survey of 4,300 decision makers from mid to large enterprises.

While 2020 was a year characterized by tremendous change, it also provided clarity on the need for organizations to be more agile, with a scalable and resilient IT infrastructure to manage future disruptions. The survey indicates that the top technology investments over the next one to three years Include: security and privacy solutions, multi-cloud platforms, AI, data analytics and data management tools.

The use of AI and data analytics is expanding across all lines of businesses. Business leaders are realizing how AI and data analytics are key differentiators to their business and are adopting a data-driven culture to drive greater insight into their business and their customers. These organizations need a platform that delivers an agile, open ecosystem for data scientists and developers to work efficiently together. An architecture-driven approach to building a data platform enables an organization to share data and maximize the benefits o their investments in advanced analytics.

Key takeaways include:

  • Understand current AI trends
  • Identify major components of an AI ecosystem
  • Understand best practices with AI and multi-cloud deployments