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Current Topic: 7. Enterprise, Knowledge Architecture, IoT, AI and ML


Sub-Topics: 7.1.Critical Thinking - the first step to Knowledge Engineering | 7.2. Rules and Knowledge-Driven Applications | 7.3. Enterprise Architecture, SOA and Microservices | 7.4. MuleSoft ESB | 7.5. Liferay Enterprise Portal | 7.6. Introduction to Semantic Technology and AI | 7.7. Machine Learning, Data Fabric, IoT
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7. Enterprise, Knowledge Architecture, IoT and AI

For a long time, Artificial Intelligence (AI) lived on the bottom of the lake of opportunities.
Recent years turned the lake into the ocean and the underwater current brought AI back to the surface.
Nothing else is growing so quickly with the demand for new skills and talents.
Hundreds of startups are raising billions of dollars to employ AI in every area of business and consumer life.

"...evidence suggests that there is a business case to be made, and that AI can deliver real value to companies willing to use it across operations and within their core functions.
... early AI adopters that combine strong digital capability with proactive strategies have higher profit margins and expect the performance gap with other firms to widen in the next several years..."


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Related Links:

https://ITofTheFuture.com

https://www.linkedin.com/groups/8429128 - ITU/JavaSchool.com at LinkedIn

https://www.linkedin.com/pulse/changing-formula-education-jeff-yefim-zhuk/

https://youtube.com/playlist?list=PLrAXtmErZgOeY0lkVCIVafdGFOTi45amq - Self-driving cars on YouTube by Lex Fridman

https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/how-artificial-intelligence-can-deliver-real-value-to-companies
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