![]() ![]() ![]() For example, a business could benefit from the results of its Azure ML predictive maintenance model alone, but the full benefit of those results is realized when that data is integrated more broadly.Oneness3D Pro SplitLast has most current and primary next era AAA animation character feature that enables users to have got an imaginary, level and glowing screen visible and much more. ![]() Siloed data, such as the result set from an Azure ML model, cannot be leveraged to its fullest extent unless it can be combined with other business data. The Discovery Hub helps this operationalization by relating AI data to other business data and systems for maximum impact. This allows organizations to simplify the process of preparing data for AI services such as Azure Machine Learning (ML), thereby reducing the time it takes to model and ultimately to operationalize the results.And in operationalizing the results of the AI process, the Discovery Hub shines again. This allows data scientists to obtain timely, compliant access to data and frees them from the laborious task of preparing data, so they can focus on valuable modeling activities.As a platform that enables instant access to data, the automation under the hood of the Discovery Hub results in greater access, speed and agility with data. The ODX serves as a central point for all data needs by providing appropriate access to IT teams, analytics teams and data scientists that require data for advanced AI modeling. Solving data-access challenges for AIThe Discovery Hub from TimeXtender addresses the challenges around data access by providing a platform to easily merge data from 100+ enterprise data sources using agile data modeling techniques to build a reliable operational data exchange (ODX) in a structured, governed, and secure environment, thus speeding up organizations’ digital transformations. In the old days, it was reporting now, it's AI, machine learning, and predictive analytics.” This is why TimeXtender offers the Discovery Hub, which is a fully automated solution that aims to give every user, from data scientists to business users, in every company on the planet instant access to all relevant data. And the complexity of the use cases where you want to use data is also growing. The number of data sources is growing rapidly every day. ![]() As TimeXtender CEO, Heine Krog Iversen, highlights, “I think the biggest issue that all companies are facing today is access to data. ![]()
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