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Climate change predictions: Anticipating and adapting to a warming world

IBM Big Data Hub

Climate modeling consists of using datasets and complex calculations to represent the interactions between major climate system components—namely, the atmosphere, land surface, oceans and sea ice. The post Climate change predictions: Anticipating and adapting to a warming world appeared first on IBM Blog. °C limit.

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Business process reengineering (BPR) examples

IBM Big Data Hub

This blog outlines some BPR examples that benefit from a BPM methodology. For example, predictive analytics can be used to forecast demand and optimize inventory levels, while blockchain technology can enhance transparency and traceability in the supply chain. Last updated 23 February 2024. Last updated 10 November 2023.

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How to become an AI+ enterprise

IBM Big Data Hub

In 2024, companies confront significant disruption, requiring them to redefine labor productivity to prevent unrealized revenue, safeguard the software supply chain from attacks, and embed sustainability into operations to maintain competitiveness. It’s also crucial to modernize existing applications that interact with AI.

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Generative AI as a catalyst for change in the telecommunications industry

IBM Big Data Hub

Infusing generative AI into these interactions helps support the shift to more proactive care that has the potential to improve customer satisfaction and unlock new revenue streams. Chatbot technology can also be applied to phone interactions, driving additional refinement to the customer care process.

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Better Analytics Through AI: Our Take on Gartner’s AI Trends

Sisense

The article starts with a big statement about AI starting to operationalize, moving the requirements for data and analytics infrastructure to accelerate the development and adoption phase: “By the end of 2024, 75% of enterprises will shift from piloting to operationalizing AI, driving a 5X increase in streaming data and analytics infrastructures.”.

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How Infusing Insights from AI Is Evolving Retail

Sisense

Spending on AI is forecast to double over the span of four years, growing from just over $50 billion in 2020 to a whopping $110 billion in 2024. Half of all the retailers we surveyed are confident that AI-enabled analytics will fundamentally change customer interactions.”. billion by 2027!

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Public cloud vs. private cloud vs. hybrid cloud: What’s the difference?

IBM Big Data Hub

According to a Gartner report (link resides outside ibm.com), worldwide end-user spending on public cloud spending is forecasted to total $679 billion and is projected to exceed $1 trillion in 2027. appeared first on IBM Blog. CSPs sell these resources according to subscription-based or pay-per-usage pricing models.