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The case for predictive AI

CIO Business Intelligence

All forward-thinking businesses are toying with or have already invested in AI — from boutique startups to enterprise conglomerates. It’s easy to think about these pieces of technology in two separate categories: one creates something new, the other forecasts future outcomes. AI is taking the world by storm.

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

To work effectively, big data requires a large amount of high-quality information sources. Where is all of that data going to come from? 5) Warehouses and the supply chain are automated Soon enough, big data combined with automation technology and the Internet of Things may make logistics an entirely automated operation.

Big Data 275
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How EPM Solutions Increase Efficiency in Data Management and Reporting

Jet Global

Furthermore, basing your budgets and forecasts on inaccurate or incongruent data from silos can have a detrimental impact on decision-making. The finance team’s true value lies in providing strategic insights and analysis, not in data manipulation. These inconsistencies also cause problems with disclosure management.

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Building a culture of data-driven decisions and insights with IBM Business Analytics

IBM Big Data Hub

Most recently we held an event at the IBM Data and AI Forum in Germany ( available on demand here ) where we shared the latest news in our business analytics portfolio. This included announcing the release of IBM Business Analytics Enterprise, which includes IBM Planning Analytics, IBM Cognos Analytics and the new IBM Analytics Content Hub.

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Minimizing Supply Chain Disruptions with Advanced Analytics

Cloudera

In summary, predicting future supply chain demands using last year’s data, just doesn’t work. Accurate demand forecasting can’t rely upon last year’s data based upon dated consumer preferences, lifestyle and demand patterns that just don’t exist today – the world has changed.

Analytics 109
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Top 6 predictions for AI advancements and trends in 2024

IBM Big Data Hub

This global perspective enabled us to observe how diverse industries both influence and are influenced by the evolving technology landscape. Customization of enterprise AI Enterprise AI customization is on the rise, with businesses embracing tailored generative AI applications. Here’s a glimpse into what the future holds.

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Building a Functional Ecosystem: Nine Ways to Boost Your Finance-Tax Synergy

Jet Global

Surprisingly, most organizations lag in harnessing the full potential of automation, with only 1 1% obtaining high-value insights from their Enterprise Performance Management (EPM) systems. This ensures that all financial data changes and tax-related decisions are well-documented, making it easier to respond to regulatory inquiries or audits.

Finance 52