Remove 2023 Remove Data-driven Remove Optimization Remove Predictive Analytics
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P&G enlists IoT, predictive analytics to perfect Pampers diapers

CIO Business Intelligence

That’s when P&G decided to put data to work to improve its diaper-making business. But things go awry and when they do, Proctor & Gamble now employs its Hot Melt Optimization platform to catch snags and get the process back on track.

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2023 Predictions: Data Trends That Will Dominate Business Agenda in APAC

Cloudera

In the past year, businesses who doubled down on digital transformation during the pandemic saw their efforts coming to fruition in the form of cost savings and more streamlined data management. 1- Treating data as a strategic business asset . 2- Operationalizing adaptive AI systems for quicker business decision-making.

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An intro to innovation in the U.S. government

CIO Business Intelligence

Governments cannot put their head in the sand and ignore change, but they operate in a highly complex, data-sensitive environment and can’t afford to take on fundamental business risks in the name of innovation. In 2023, nearly one-third of U.S. In this guide, you’ll learn more about the importance of innovation in the U.S.

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Streamlining supply chain management: Strategies for the future

IBM Big Data Hub

The challenges continue: one 2023 survey found 44% of companies had to make changes in the past year due to issues with their supply chain footprint, and 49% said supply chain disruptions had caused planning problems. A supply chain control tower can connect many sources of data-driven information and improve end-to-end visibility.

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How IBM and AWS are partnering to deliver the promise of AI for business

IBM Big Data Hub

In today’s digital age where data stands as a prized asset, generative AI serves as the transformative tool to mine its potential. Businesses globally recognize the power of generative AI and are eager to harness data and AI for unmatched growth, sustainable operations, streamlining and pioneering innovation.

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Business process reengineering (BPR) examples

IBM Big Data Hub

BPR examples are not one-time projects, but rather examples of a continuous journey of innovation and change focused on optimizing end-to-end processes and eliminating redundancies. The purpose of BPR is to streamline workflows , eliminate unnecessary steps and improve resource utilization.

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Swiss Re streamlines insurers’ natural disaster response with AI

CIO Business Intelligence

In 2023, through July 11, NOAA confirmed 12 such events, including floods and severe storms. To keep up with the unsettling pace, Swiss Re, one of the world’s largest reinsurers, now leverages predictive analytics, machine learning (ML), and artificial intelligence (AI) to help its clients anticipate disasters and mitigate costs.