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How AI-Led Platforms Are Transforming Business Intelligence and Decision-Making

Unite.AI

Traditional business intelligence processes often involve time-consuming data collection, analysis, and interpretation, limiting an organization’s ability to act swiftly. According to a Deloitte report , by 2025, 20% of top global retailers are expected to achieve holistic results by using distributed AI systems.

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AI and the future of unstructured data

IBM Journey to AI blog

“ Gen AI has elevated the importance of unstructured data, namely documents, for RAG as well as LLM fine-tuning and traditional analytics for machine learning, business intelligence and data engineering,” says Edward Calvesbert, Vice President of Product Management at IBM watsonx and one of IBM’s resident data experts.

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Microsoft Word gets ChatGPT integration with new ‘Ghostwriter’ third-party add-in

Flipboard

He previously founded and ran business-intelligence consulting company Extended Results, which was acquired by Tibco Software in 2013. He also currently develops and runs The Equestrian app for horse owners and businesses, which has more than 35,000 members representing more than 45,000 horses worldwide. .

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Top Data Analytics Trends Shaping 2025

Pickl AI

Businesses harness these innovations for real-time analytics, operational efficiency, and data democratisation, ensuring competitiveness in 2025. Introduction In todays fast-paced digital landscape, staying ahead of Data Analytics trends is crucial for businesses aiming to maintain a competitive edge. from 2023 to 2030.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Our esteemed speakers will discuss the emerging trends shaping the future of product management and business intelligence.

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AI that’s ready for business starts with data that’s ready for AI

IBM Journey to AI blog

According to International Data Corporation (IDC), by 2025, stored data will grow 250% across on-prem and across cloud platforms. According to Gartner, 30% of generative AI projects are expected to be abandoned by 2025 due to poor data quality, inadequate risk controls, escalating costs or unclear business value.

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How data stores and governance impact your AI initiatives

IBM Journey to AI blog

Stored data is predicted to see a 250% growth by 2025, 1 the results of which are likely to include a greater number of disconnected silos and higher associated costs. To optimize data analytics and AI workloads, organizations need a data store built on an open data lakehouse architecture.