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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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4 ways generative AI addresses manufacturing challenges

IBM Big Data Hub

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. IBM built a workforce advisor that uses summarization and contextual data understanding with intent detection and multi-modal interaction.

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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. As a result, these models enable organizations to unlock new opportunities and gain a 360 degree view of their entire business.

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BRIDGEi2i Among HFS Hot Vendors Q3, 2020

bridgei2i

It emphasizes the right mix of infrastructure, people, and data with automation and insights that can propel real-time personalization and interactions at the front office. The HFS OneOffice model functions on the right amalgamation of Human-centric Customer Experience (CX) and Human-centric Employee Experience (EX).

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How to Design Better Dashboards: a Visual Guide

Sisense

All these metrics will help the reader understand the metrics around how users interact with their trial software. The numbers presented follow an easy-to-understand progression, there’s contextual data to help the reader understand them, and users can drill down further to answer questions as they arise.

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

Cloudera

The bank increased their revenue by more than $100M annually by using the data to identify the most relevant information for each customer and curate personal experiences across communication channels. They developed smarter processes on the platform by introducing chatbots to take over 10% of customer interactions on their website.

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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.