Remove how-to-build-knowledge-graphs-for-enterprise-applications-with-two-industry-leaders
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How to Build Knowledge Graphs for Enterprise Applications with Two Industry Leaders

Ontotext

Business applications are meant to help organizations. The customer and employee experience when using an application is key for companies to have a real impact on their processes and results. How can you build knowledge graphs for enterprise applications?

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A Guide To The Methods, Benefits & Problems of The Interpretation of Data

datapine

2) How To Interpret Data? Based on that amount of data alone, it is clear the calling card of any successful enterprise in today’s global world will be the ability to analyze complex data, produce actionable insights and adapt to new market needs… all at the speed of thought. Table of Contents. 1) What Is Data Interpretation?

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How ZS built a clinical knowledge repository for semantic search using Amazon OpenSearch Service and Amazon Neptune

AWS Big Data

In this blog post, we will highlight how ZS Associates used multiple AWS services to build a highly scalable, highly performant, clinical document search platform. We serve clients in a wide range of industries, including pharmaceuticals, healthcare, technology, financial services, and consumer goods.

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

Sisense

AI and machine learning are the future of every industry, especially data and analytics. Reading through the Gartner Top 10 Trends in Data and Analytics for 2020 , I was struck by how different terms mean different things to different audiences under different contexts. Let’s dive into these trends and see what else is on the horizon.

Analytics 112
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At Center Stage: 2 Ontotext Webinars About Knowledge Graphs and Their Application in Data Management

Ontotext

In the last couple of years, we’ve had so many Ontotext webinars on interesting topics, attended by an increasing number of people, asking more and more questions that we’ve decided to start a new series of blog posts dedicated to them. Webinar: Knowledge Graph Maps: 20+ Application and 30+ Capabilities.

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Getting Started With People Analytics

Sisense

In The Future of Work , we explore how companies are transforming to stay competitive as global collaboration becomes vital. Given that the average enterprise company now has 15-19 HR systems feeding it information and 85% of leaders say that people analytics are very important to the future of HR, this clearly has to change!

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Case study: Policy Enforcement Automation With Semantics

Ontotext

Data leaders today are faced with an almost impossible challenge. Application-centric approach In the application-centric approach to data, people create an application to solve their problems today. The result is issues in discovery as well as consistency across applications.