Machine Learning and Deep Learning

With machine learning, you can build powerful recommendation engines to delight customers with improved shopping experiences.

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AI and Deep Learning

Cloud, data, and AI are creating enormous business opportunities—from reducing costs and streamlining operations, to driving entirely new business models and revenue channels.

85% of organizations have started data-driven initiatives, but only 37% report success

Why?

AI Technology

Technology demands
a power-intensive infrastructure

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Data Increasing

Data is exponentially increasing in volume

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Security Degradation

Security, latency, and degradation concerns from data transfer.

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machine-learning-1

ML and AI models are difficult to deploy to the edge and applications

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advanced analytics
Enterprise Scenario for AI

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What are companies looking to do next?

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Deepesh

Deepesh began his career in 2007 as a software developer, thereafter was privileged to work on client site in Canada for 5 years, gaining unparalleled experience in full stack development space, while also establishing himself as a respected product architect. Currently working as a delivery manager of Ignatiuz and is widely known for his expertise on Asp.net, Java script, sql server, MySQL, webservices, entity framework, VSS, TS, SVN, WCF services and MVC. Further his speaking engagements have taken him around the world as proud developer to work with.

Vivek

Vivek is a power platform developer specializing Microsoft technology and front-end development. Passionate learner who continuously update his mental model and handle complexity. Facilitating low code rapid development empower the user to scale their business operation, bringing in some credits in Vivek profile as well.

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