Effective data tagging enables organizations to use a small number of data descriptors or tags to organize and optimize huge amounts of information. Written by eWEEK content and product ...
Qlik is buying natural language processing and generative AI intellectual property, including patents and technology, from GenAI software developer Kyndi. Qlik has acquired “pivotal intellectual ...
DUBLIN--(BUSINESS WIRE)--The "Risk Analytics Global Market Report 2023" report has been added to ResearchAndMarkets.com's offering. The global risk analytics market grew from $30.27 billion in 2022 to ...
The difference between AI success and failure often comes down to five strategic choices that leaders make about their data ...
When employees can’t efficiently access what they need, companies pay the price. In part, that comes in the form of what ...
In this special guest feature, Jordan Dimitrov, Product Manager, Unstructured Data Analytics, Cognyte, addresses the importance of unstructured data, why AI is an invaluable tool and how to move ...
- InMoment bolsters set of customer experience management (CXM) solutions with latest acquisition adding robust natural language processing (NLP), and machine learning (ML) to InMoment’s XI Platform - ...
It’s hard enough for companies to tame the masses of structured data now coming their way at top speed each day, but unstructured data — the kind that doesn’t fit tidily into traditional spreadsheets ...
CAMPBELL, Calif., May 19, 2022 — Komprise, a leader in analytics-driven unstructured data management and mobility, today announced Komprise Smart Data Workflows, a systematic process to discover ...
The future of data security lies in understanding which identities can execute data processes and what other access those ...
Promising more thorough and timelier data analysis, Hewlett-Packard has released a software package that combines the company’s Vertica database with its IDOL data analysis platform. The HP Haven ...
Artificial intelligence (AI) is rapidly transforming clinical trials by dramatically reducing timelines and costs, accelerating patient-centered drug development and creating more resilient and ...
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