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Best BI Tools Examples for 2024: Business Intelligence Software

FineReport

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making.

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Top financial services trends of 2024

IBM Big Data Hub

The start of 2024 brings forth many questions as to what we can expect in the year ahead, especially in the financial services industry, where technological advances have skyrocketed and added complexities to an already turbulent landscape. An investment in the tools and infrastructure to combat such threats is likely to occur in 2024.

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AI search and RAG at Microsoft Build 2024 – what does this mean for businesses?

Jen Stirrup

In this blog post about Microsoft Build 2024, I will focus on AI Search and RAG modelling. The Microsoft Build Conference, which will take place from May 21 to 23, 2024 , is a platform for Microsoft to unveil a range of innovations and announcements. RAG use case example Let’s take a look at a use case.

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

CIO Business Intelligence

AI-powered data integration solutions are particularly effective in handling complex, unstructured data sources, such as social media feeds, sensor data, and customer interactions. Their AI engine can automatically learn data structures and relationships, simplifying the integration process and minimising the need for manual configuration.

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Three predictions for AI and automation business adoption

CIO Business Intelligence

That’s one of the main themes from IDC’s recent predictions report, “IDC FutureScape: Worldwide Artificial Intelligence and Automation 2024 Top 10 Predictions”. But that’s about to change, said Fleming, as executive leadership seeks to understand how AI and automation benefit the bottom line. It’s time to get to business.

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Inferencing holds the clues to AI puzzles

CIO Business Intelligence

Yet the calculus may not be so simple when one considers the costs to operate there as well as the fact that GenAI systems sometimes produce outputs that even data engineers, data scientists, and other data-obsessed individuals struggle to understand. Cost concerns aren’t the only reason to conduct inferencing on premises.

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The path to socially responsible AI

CIO Business Intelligence

People across industries envisioned AI as being the fuel for thousands of hours of time saved, replacing jobs to reduce costs, and unlocking innovation at a scale we have never before seen. Interacting with AI data or experiences in silos introduces risk and increases inefficiencies because it’s kept separate.