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The case for predictive AI

CIO Business Intelligence

According to Forrester , GenAI will have an average annual growth rate of 36% up to 2030, capturing 55% of the AI software market. It’s easy to think about these pieces of technology in two separate categories: one creates something new, the other forecasts future outcomes. What’s the difference?

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

datapine

You can use big data analytics in logistics, for instance, to optimize routing, improve factory processes, and create razor-sharp efficiency across the entire supply chain. The big data market is expected to exceed $68 billion in value by 2025 , a testament to its growing value and necessity across industries. Did you know?

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AI Software Can Help Your Business Cultivate a Competitive Edge in 2021

Smart Data Collective

Savvy small businesses recognize that AI technology can assist them with almost every aspect of their operations, including employee management, trend forecasting, fraud prevention and financial management. Due to these benefits, the global market for AI is projected to be worth $733 billion by 2027. Do you love your customers?

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CFO Panel: Generating Value in a Post-Pandemic Market

Jet Global

But as market predictions become more consistent, giving CFOs some time to catch their breath, new priorities start to emerge. Earlier this year, insightsoftware sat down with a panel of four prominent CFOs to explore their successes amidst recent market turbulence. This requires access to data that’s real-time.

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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. Manual processes make integrating actual results into forecasting models cumbersome and error prone. These inconsistencies also cause problems with disclosure management.

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Tackling changed requirements with comprehensive modernization

BI-Survey

Overnight, the impact of uncertainty, dynamics and complexity on markets could no longer be ignored. Although many initiatives have already been realized around planning and forecasting in recent months, too many were just short-term fixes that did not bring the significant and lasting improvements required. Are there better methods?

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Innovative data integration in 2024: Pioneering the future of data integration

CIO Business Intelligence

Serverless data integration platforms eliminate the need for traditional server infrastructure, allowing organisations to focus on the core functionality of their data integration processes rather than managing the underlying hardware and software. billion by 2025.