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AI for Building, Maintaining, and Scaling Intelligent Enterprises

Presented by

Yeghisabet Alaverdyan, Head of Systems Integration | EKENG CJSC

About this talk

In this era of digital transformation, more and more data-driven and machine intelligent solutions are being developed and deployed, changing the profile of companies from ordinary to more intelligent. AI systems keep learning and improving themselves to deal with data in a way similar to how the human brain processes the information. Advances in this area significantly improves decision making, performance, computational accuracy and permanency, and even outperforms and fights human weaknesses, such as fatigue, lack of attention and lack of knowledge. Nowadays, besides business-oriented tasks, AI-inspired solutions provide data protection from external and internal threats and are the only way to detect and block advanced persistent threats in their lateral movements. AI incorporates theories and best practices from scientific and technological fields without restriction. The more natural and computational sciences are involved, the more predictable and controllable are the results. No humans are capable to provide such an integration and full control, also visibility of the enterprise in all its layers. This webinar introduces several approaches to develop and implement AI solutions which can promote intelligence of organizations through application of computational technologies, machine learning and data science driven tools to make the business processes of a required quality and of the expected behavior.
Enterprise Architecture

Enterprise Architecture

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Best practices for achieving Enterprise IT and operational efficiency.
The Enterprise Architecture channel presents the next generation of Enterprise IT: recognizing the strategic importance of digital transformation and the data center to make companies more nimble and competitive. These presentations will help demanding IT and BizOps professionals achieve flexibility, scalability and performance with reduced risk and complexity.
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