bridgei2i
MAY 26, 2021
BRIDGEi2i Analytics Solutions announced Pritam Kanti Paul’s inclusion in Analytics Insight’s study on ‘Top Big Data CTOs in India to Keep an Eye On in 2021’ These leaders were chosen based on their significant expertise and ability to help enterprises achieve their technology goals.
IBM Big Data Hub
JANUARY 9, 2024
Companies still often accept the risk of using internal data when exploring large language models (LLMs) because this contextual data is what enables LLMs to change from general-purpose to domain-specific knowledge. In the generative AI or traditional AI development cycle, data ingestion serves as the entry point.
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IBM Big Data Hub
APRIL 15, 2024
Contextual data understanding Data systems often cause major problems in manufacturing firms. IBM built a workforce advisor that uses summarization and contextual data understanding with intent detection and multi-modal interaction. Generative AI empowers enterprises at the strategic core of their business.
Sisense
MARCH 12, 2020
In Data-Powered Businesses , we dive into the ways that companies of all kinds are digitally transforming to make smarter data-driven decisions, monetize their data, and create companies that will thrive in our current era of Big Data. One thing that enterprises have that startups don’t is a track record.
IBM Big Data Hub
AUGUST 23, 2023
The recent success of artificial intelligence based large language models has pushed the market to think more ambitiously about how AI could transform many enterprise processes. However, consumers and regulators have also become increasingly concerned with the safety of both their data and the AI models themselves.
bridgei2i
NOVEMBER 18, 2020
BRIDGEi2i Analytics Solutions announced today that it had been recognized in the list top 10 data science companies in India to work for 2020 by Analytics Insights magazine. Analytics Insight is a publication focused on Artificial Intelligence, Big Data and Analytics.
Cloudera
DECEMBER 14, 2022
OCBC identified the need to upgrade its data lake technology as part of an enterprise data science initiative to introduce a more resilient infrastructure and platform capable of managing projects with increasing volume, variety and velocity of data, while also enabling real-time analytics. .
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