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2019

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Watson Assistant is more than a chatbot. Watson Assistant is an offering for building conversational interfaces into any application, device or channel.

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This webinar features Rich Chester, Director of Business Intelligence, discussing what's new with Cognos Analytics v11.1.3

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Join Rich Chester for an overview and demonstration of v11.1.1 Cognos Analytics Reporting Enhancements

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Looking to accelerate business value with a scalable data science platform? While data science and AI are relatively new in the market, the concept of extracting value from data has been around for a while. As time changes, technology workers are dealing with an increased variety of tools (open source options vs, and proprietary packages), skills and techniques (machine learning, optimization, stats and more) including a wide range of workload options dealing with large data.

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This webinar provides an overview of data exploration enhancements in Cognos Analytics v11.1 and is presented by Rich Chester, LPA's Director of Business Intelligence.

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Category: Hospitality

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LPA's HospitalityInsight allows you to grow profit and reduce budgeting and forecasting cycles. See what best of breed hospitality and hotel management companies are doing.

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CEO's, CFO's, CMO's and COO's are striving to do more with their data - making faster decisions, improving profits, reaching tougher metrics, integrating 3rd party data trying to understand if AI will improve their business performance.

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QUBEdocs was designed by TM1 users for TM1 users. It provides the tools to learn, manage and change your business models without sacrificing the flexibility, adaptibility and complexity that makes TM1 so powerful. Better yet - the new release is compatible with Planning Analytics and is now available in the Cloud.

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This webinar provides an overview of data exploration enhancements in Cognos Analytics v11.1 and is presented by Rich Chester, LPA's Director of Business Intelligence.

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Tags : Webinar

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mobile_photo
Looking to accelerate business value with a scalable data science platform? While data science and AI are relatively new in the market, the concept of extracting value from data has been around for a while. As time changes, technology workers are dealing with an increased variety of tools (open source options vs, and proprietary packages), skills and techniques (machine learning, optimization, stats and more) including a wide range of workload options dealing with large data.

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