15-16 April 2019
Sofitel Dubai The Palm Resort & Spa
Dubai, UAE
15-16 April 2019
Sofitel Dubai The Palm Resort & Spa
Dubai, UAE
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What is an Intelligent Enterprise? In Intelligent Enterprises, data feeds intelligence which in turn feeds process automation and innovation. At SAP, we believe best-run businesses are data and process driven – and we’re committed to helping deliver on this promise. |
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Data Journey From Chaos To Wisdom Data and Information have moved on. Data is everywhere. Countless facts, observations, perspectives and insights that could make or break a business. Data now offers the highest value to organizations and is the fastest moving domain for innovation. However, new approaches are required to realize these benefits. This paper presents techniques, tools and the knowledge graph representation demonstrating how to bring order to the chaos inherent in unstructured data. |
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How data science helped a bank detect fraud One of the largest banks in Luxembourg, BGL BNP Paribas needs to proactively be on the hunt for fraud. The bank already had a machine learning model in place for advanced fraud detection. But with limited visibility into that model and limited data science resources, the model remained largely static and was in dire need of improvement. With the help of Dataiku and Data Science Studio, BGL BNP Paribas created a new fraud detection prototype in just 8 weeks, all without compromising data governance standards. Read this case study to learn if Data Science Studio is right for your business. |
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NetApp at a Glance For organizations to be successful in their digital transformations, data must become the lifeblood of an organization. Find out how NetApp empowers global organizations to unleash the full potential of their data to expand customer touchpoints, foster greater innovation and optimize their operations. |
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Data Availability - The Road to Artifical Intelligence AI-Driven analysis at scale is only possible through Data Availability. Organizations today are struggling to implement enterprise-wide AI because of a lack of access to relevant data. AI works best in vast, diverse data sets and needs to have a singular view across all enterprise data in order to be most effective. This whitepaper will discuss how to gain a unified, simplified, integrated view of all business data to fuel enterprise-wide AI. |
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Competing in the Cognitive Age Artificial Intelligence (AI) and Machine Learning (ML) are poised to help companies make dramatic shifts in performance, shareholder value and business development over the next two years. To better understand how this game-changing technology is being applied to drive business success today and where it is headed in the near future, Protiviti and ESI ThoughtLab interviewed more than 300 executives around the globe, reaching across functions, company size and industry, including healthcare, technology, financial services and consumer products. Results from this important research are included in this report. |
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Expotrade Middle East FZ-LLC
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PO Box 500686 Dubai, U.A.E.
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