Office 365 & On Premise SharePoint 2013 – Part 2

Are you looking for a better strategy to implement Office 365 but already have an on premise SharePoint 2013 or SharePoint 2010 implementation? If so this session is for you to understand how both systems can help solve distinct business problems that your organization might want to leverage SharePoint to address. Office 365 brings SharePoint to the cloud to allow for the best of both the worlds together to simplify and enhance the SharePoint experience while significantly reducing costs. Office 365 allows more flexibility and greater business agility. It helps leveraging familiar tools for simple deployment, and user experiences as well as a leaner, controlled model for enterprises.
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Spotlight

OTHER ON-DEMAND WEBINARS

Addressing the Supply Chain Crisis with AI

In a recent chat with C2C, Palash Bharadwaj, VP of Industries, SpringML discusses and addresses the supply chain crisis through AI. In the post-pandemic world, we live in today, where COVID19 has invoked innovation across industries, most organizations and their supply chains are still facing bottlenecks that they have to cope with.
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You can’t spell Automation without Artificial Intelligence

Automation is a key variable to a company’s success. But how do we know how to build the right automation? Building automation powered by artificial intelligence can help ensure that the best actions are taken at the point of maximum impact. In this webinar, Nicolai Johnson-Borelli, SpringML, and Marco Casalaina, Salesforce, discuss how Salesforce’s Einstein product suite, such as Einstein Discovery and Einstein Recommendation Builder, can enable intelligent automation to streamline and scale decision-making.
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The Essentials of Data Science and Machine Learning

Gartner

How data science and machine learning fit with the organization's existing analytics portfolio How your organization can operationalize models driven by data science and machine learning This webinar covers a high-level introduction to data science and machine learning and their potential in a data-driven organization. Learn key trends and concepts, proven use cases and an overview of leading technologies.
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Advanced Machine Learning with TensorFlow on Google Cloud Platform

Rakesh works as a Customer Engineer, Analytics, assisting customers in achieving success with Data Analytics on the Google Cloud Platform. He has over 14 years of experience in analytics and AI\/ML solutions, and has advised many organizations ranging from the government to startups to Fortune 500 corporations on Big Data Analytics technologies.
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