AI News

DECEMBER 19, 2023

Enterprise streaming analytics firm Streambased aims to help organisations extract impactful business insights from these continuous flows of operational event data. In an interview at the recent AI & Big Data Expo , Streambased founder and CEO Tom Scott outlined the company’s approach to enabling advanced analytics on streaming data.

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IBM Journey to AI blog

JANUARY 5, 2023

Poor data quality is one of the top barriers faced by organizations aspiring to be more data-driven. Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues.

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Pickl AI

APRIL 14, 2023

Falling into the wrong hands can lead to the illicit use of this data. Hence, adopting a Data Platform that assures complete data security and governance for an organization becomes paramount. In this blog, we are going to discuss more on What are Data platforms & Data Governance.

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Pickl AI

JUNE 18, 2023

Hadoop has become a highly familiar term because of the advent of big data in the digital world and establishing its position successfully. The technological development through Big Data has been able to change the approach of data analysis vehemently. It offers several advantages for handling big data effectively.

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ODSC - Open Data Science

SEPTEMBER 29, 2023

Such growth makes it difficult for many enterprises to leverage big data; they end up spending valuable time and resources just trying to manage data and less time analyzing it. They were interested in creating a data platform capable of managing a sizable number of datasets. and various countries in Europe.

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ODSC - Open Data Science

OCTOBER 20, 2023

HPCC Systems — The Kit and Kaboodle for Big Data and Data Science Bob Foreman | Software Engineering Lead | LexisNexis/HPCC Join this session to learn how ECL can help you create powerful data queries through a comprehensive and dedicated data lake platform.

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ODSC - Open Data Science

JULY 13, 2023

For example, retailers could analyze and reveal trends much faster with a big data platform. It also can ensure they retain quality details since they don’t have to limit how much they collect. Quality Most retailers have dealt with irrelevant results even when using automatic processing systems like AI.

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