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Taking TL;DR to a New Level With Interactive Document Intelligence for ESG

Dataiku

Traditionally, organizations rely heavily on individuals, sometimes lawyers with a notoriously high hourly rate, to read through documents manually. They often search for relevant materials in an ad hoc manner, with no systematic way of categorizing, understanding, and interpreting the information and trends.

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Top Graph Use Cases and Enterprise Applications (with Real World Examples)

Ontotext

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. Who was my most ESG compliant plant in 2020?”

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Buy Your Embedded Analytics and Empower Your End-Users With the Right Data

Jet Global

According to ESG, developing an in-house embedded analytics solution could take up to 20% of your resources over three months. Buying: With outsourced analytics solutions, there’s no need to worry about product maintenance, training, or documentation, since vendors extensively document their platforms.

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Snowflake Summit 2022: 3 Key Takeaways from Alation

Alation

Financial services leaders are using data sharing to meet key challenges and tackle ESG data. Our Intelligent SQL editor Compose enables even non-technical users to query the Data Cloud, extracing valuable answers. How could they decentralize access and management intelligently? Embrace Data Governance.

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What Is Embedded Analytics?

Jet Global

Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. Embedded analytics, on the other hand, puts intelligence inside the applications people use every day. SAID ANOTHER WAY… Business intelligence is a map that you utilize to plan your route before a long road trip.