Artificial Intelligence

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Advanced Analytics and Machine Learning with Data Virtualization

Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spent most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.Attend this webinar and learn:

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Advanced Analytics and Machine Learning with Data Virtualization (Middle East)

Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spent most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.Attend this webinar and learn:

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Reinvent Your Data Management Strategy for Successful Digital Transformation

Leaders are re-inventing their data management strategies through the effective use of IoT, Big Data, and data science to boost their customer experience. Yet, they struggle to modernize their data architecture due to lack of global data management processes and technologies.Attend this session to hear from the Big Data pioneer, Hortonworks:Why big data and data virtualization should be core technology components of your digital transformationHow to manage, govern, and secure your global data footprint across a hybrid multi-cloud landscapeLearn about key global data management strategies and...

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Customer Case Study: Logitech

In this video, Avinash Deshpande, Chief Software Architect at Logitech explains how they were able to build a cloud solution using data virtualization which gave them access to their data in real-time.

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