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The Superpowers of Ontotext’s Relation and Event Detector

Ontotext

This is part of Ontotext’s AI-in-Action initiative aimed at enabling data scientists and engineers to benefit from the AI capabilities of our products. Ontotext’s Relation and Event Detector (RED) is designed to assess and analyze the impact of market-moving events. Why do risk and opportunity events matter?

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Are You Content with Your Organization’s Content Strategy?

Rocket-Powered Data Science

What attributes of your organization’s strategies can you attribute to successful outcomes? Seriously now, what do these word games have to do with content strategy? Specifically, in the modern era of massive data collections and exploding content repositories, we can no longer simply rely on keyword searches to be sufficient.

Strategy 267
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3 Huge Reasons that Data Integrity is Absolutely Essential

Smart Data Collective

However, your data integrity practices are just as vital. But what exactly is data integrity? How can data integrity be damaged? And why does data integrity matter? What is data integrity? Indeed, without data integrity, decision-making can be as good as guesswork.

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IBM named a leader in the 2022 Gartner® Magic Quadrant™ for Data Integration Tools

IBM Big Data Hub

The only question is, how do you ensure effective ways of breaking down data silos and bringing data together for self-service access? It starts by modernizing your data integration capabilities – ensuring disparate data sources and cloud environments can come together to deliver data in real time and fuel AI initiatives.

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What you need to know to accelerate your cloud and data strategy

CIO Business Intelligence

Before organizations map an architectural approach to data, the first thing that they should understand is data intelligence. David Linthicum, chief cloud strategy officer at Deloitte Consulting and a contributor to InfoWorld, will delve into strategies that deliver real business value – a mandate that every IT leader is facing now.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data. You need to process this to make it ready for analysis.

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How to accelerate your data monetization strategy with data products and AI

IBM Big Data Hub

Data monetization strategy: Managing data as a product Every organization has the potential to monetize their data; for many organizations, it is an untapped resource for new capabilities. Doing so can increase the quality of data integrated into data products.

Strategy 106