Machine Learning

Showing 1 - 10 of 10 pages tagged with: Machine Learning

Denodo’s Data Catalog: Accelerate AI/ML Modeling with Faster Access to Datasets

Data Scientists spend most of their time looking for the right data and massaging it into a usable format. How can the Denodo platform enable the data scientist and data engineer?Join us as we explore and demonstrate how the Denodo 8.0 Data Catalog can help the data scientist and data engineers to find the relevant datasets quickly by using any metadata information and also using the respective categories and tags. Explore how the data catalog provides more information on the dataset allowing to define the descriptions for the views and fields, showing the associations with other datasets and...

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Advanced Analytics and Machine Learning with Data Virtualization

Advanced data science techniques, like machine learning, have proven to be extremely useful to derive valuable insights from your data. Data Science platforms have become more approachable and user friendly. With all the advancements in the technology space, the Data Scientist is still spending most of the time massaging and manipulating the data into a usable data asset. How can we empower the data scientist? How can we make data more accessible, and foster a data sharing culture?Join us, and we will show you how Data Virtualization can do just that, with an agile and AI/ML laced data...

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Trustworthy Analytics and Machine Learning with Data Virtualization (EMEA)

Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. For these projects to be successful, data scientists, business analysts, and other personnel need access to data from across the enterprise. However, gaining access to all of the data in an integrated central repository has been a challenge, resulting in up to 80% of the project time being spent on data acquisition and preparation tasks.Data virtualization enables many organizations today to gain data insights from multiple, distributed data sources...

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How Data Virtualization Puts Machine Learning into Production (APAC)

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 spend 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 session to learn how companies can use data virtualization to:Create a logical...

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The Future of Data Strategy (Middle East)

You will often hear that "data is the new gold". In this context, data management is one of the areas that has received more attention by the software community in recent years. From Artificial Intelligence and Machine Learning to new ways to store and process data, the landscape for data management is in constant evolution. From the privileged perspective of an enterprise middleware platform, we at Denodo have the advantage of seeing many of these changes happen.In this webinar we will discuss the technology trends that will drive the enterprise data strategies in the years to come. Don't...

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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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DataFest 2019 EMEA Innovation Award: NHS National Services Scotland

Neil Sinclair is responsible for delivery of all BI Projects for NSS, fulfilling technical lead and team management roles. Analysis, design, development and implementation of systems are part of his responsibilities. His BI team undertakes numerous new projects each year to deliver new systems, as well as supporting and enhancing existing systems. For more information about Neil, visit his LinkedIn profile. https://www.linkedin.com/in/neil-sinclair-b747721b/.Visit Denodo DataFest 2019 to watch all the sessions on-demand.

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Customer Presentation: Logitech: Data Done Right = #Winning

Denodo customer presentation by Avinash Deshpande, Chief Software Architect at Logitech.

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Extend the Reach of Data Science with Data Virtualization

Denodo customer presentation by John O'Brien, Principal Advisor and CEO at Radiant Advisors.

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Powering The Future Of Data

The last 10 years we have focused on accumulating untold volumes of data-at-rest, predicted to grow to 40+Zetabytes by the end of the decade. The next frontier master is data-in-motion – the data that is flowing from billions of sensors that are instrumenting every machine, device and person. Unique actionable intelligence lives at the intersection of these two domains when IoT data meets machine learning and artificial intelligence. Hear how leading organizations harness next-gen connected data platforms to drive transformative data initiatives.Listen to Piet Loubser, VP of Product and...

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