Remove Artificial Intelligence Remove Data Modelling Remove Product Management
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Augmented Analytics: Empowering Users with Deeper Intelligence

Sisense

Artificial intelligence combined with analytics enhances every application! Data science and artificial intelligence: Enhancing every step in the BI process. In other words, data experts can dovetail their coding skills with AI functionality to produce more sophisticated and more accurate models.

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Data fabric’s value to the enterprise

Tableau

VP, Product Management, Tableau. When you work in IT, you see first hand how the increasing business appetite for data stresses existing systems—and even in-flight digital transformations. Data fabrics are gaining momentum as the data management design for today’s challenging data ecosystems.

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Data fabric’s value to the enterprise

Tableau

VP, Product Management, Tableau. When you work in IT, you see first hand how the increasing business appetite for data stresses existing systems—and even in-flight digital transformations. Data fabrics are gaining momentum as the data management design for today’s challenging data ecosystems.

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150+ Top Global Cloud Thought Leaders and Next Generation Leaders of 2021

Whizlabs

Currently she works at Microsoft and concentrates mainly on cloud computing, edge computing, distributed systems and architecture, and a little bit of machine learning and artificial intelligence. Navin is the founder of WoWExp , which transforms the Industry with Augmented Reality and Artificial Intelligence.

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Must-Have AI Features for Your App

Sisense

In Augmented Apps , we examine how product teams are exploring AI and Machine Learning to make their products more intuitive and enhance the user experience. . Artificial intelligence is transforming products in surprising and ingenious ways.

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Better Analytics Through AI: Our Take on Gartner’s AI Trends

Sisense

How exactly is all that data going to talk to each other and come together to provide the end-to-end analysis? Knowledge graphs will be the base of how the data models and data stories are created, first as relatively stable creatures and, in the future, as on-demand, per each question. Trend 5: Augmented data management.

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A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

Data Pine

A BI analyst is responsible for drilling down into large sets of relevant data, including KPIs, that a business or organization uses in relation to the development of various processes, initiatives, and departments. A BI analyst assists in strategic thinking, data-driven decision-making , and the discovery of new, valuable conclusions.