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How IT leaders use agentic AI for business workflows

CIO Business Intelligence

AI agents are valuable across sales, service, marketing, IT, HR, and really all business teams, says Andy White, SVP of business technology at Salesforce. Enriching the sales pipeline Jay Upchurch, CIO at SAS, backs agentic AI to enhance sales, marketing, IT, and HR motions. Another area is democratizing data analysis and reporting.

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BRIDGEi2i launches two interactive dashboards: COVID19 Global Monitor & COVID Stock Market Impact Monitor

bridgei2i

BRIDGEi2i, a leading AI consultancy, has launched two interactive dashboards that highlight the impact of COVID19 globally across businesses and communities. The Global COVID-19 Monitor gives live insights on the spread of the pandemic across the world and allows you to slice and dice data from many perspectives. www.BRIDGEi2i.com.

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Fueling Enterprise Generative AI with Data: The Cornerstone of Differentiation

Cloudera

For example, a financial institution can use GenAI to analyze customer interactions across various channels, including emails, chat logs, and call transcripts, to identify patterns and sentiments. This data-driven approach has significantly reduced the time and cost associated with bringing new drugs to market.

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4 ways generative AI addresses manufacturing challenges

IBM Big Data Hub

An inaccurate AI prediction in a marketing campaign is a minor nuisance, but an inaccurate AI prediction on a manufacturing shopfloor can be fatal. Coupled with search and multi-modal interaction, gen AI makes a great assistant. Contextual data understanding Data systems often cause major problems in manufacturing firms.

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Addressing the Elephant in the Room – Welcome to Today’s Cloudera

Cloudera

This includes running analytics at the edge, supporting multi-cloud environments, treating Apache Iceberg as a first-class citizen, and introducing many more innovations like data observability. The Future of Enterprise AI, Delivered Today If the Big Data era was this century’s gold rush, then AI is the next moon shot.

Big Data 103
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23 key gen AI terms and what they really mean

CIO Business Intelligence

More commonly, however, there’ll be multiple models on the back end, each one handling a different type of data. For example, a model that interacts with users via voice might first translate the audio to text, then generate a text response, then translate that response back into audio.

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Enabling Integration and Interoperability Across the Grid with Knowledge Graphs

Ontotext

Current electricity data standards EU legislation, such as REMIT , charges the European Network of Transmission System Operators for Electricity (ENTSO-E) with collecting electricity market data from TSOs. TSOs must provide this data in a format from the IEC’s family of standards known as the Common Information Model (CIM).