Remove Deep Learning Remove Digital Transformation Remove Predictive Analytics
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Beyond the hype: Do you really need an LLM for your data?

CIO Business Intelligence

But heres the question I keep asking myself: do we really need this immense power for most of our analytics? Think about it: LLMs like GPT-3 are incredibly complex deep learning models trained on massive datasets. In analytics, LLMs can create natural language query interfaces, allowing us to ask questions in plain English.

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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

Diagnostic analytics uses data (often generated via descriptive analytics) to discover the factors or reasons for past performance. Predictive analytics applies techniques such as statistical modeling, forecasting, and machine learning to the output of descriptive and diagnostic analytics to make predictions about future outcomes.

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Digital Twin Use Races Ahead at McLaren Group

CIO Business Intelligence

Meanwhile, the digital twin market is set to grow at a 50% compound annual growth rate, reaching $184.5 For businesses like the McLaren Group, these two trends are at the core of the conglomerate’s digital transformation and competitive strategy, on and off the track. . Just starting out with analytics? billion by 2030.

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12 most popular AI use cases in the enterprise today

CIO Business Intelligence

Rolls-Royce has also found use for AI in predictive maintenance to improve the efficiency of jet engines and reduce the amount of carbon their planes produce, while also streamlining maintenance schedules through predictive analytics. Artificial Intelligence, Chatbots, IT Strategy, Predictive Analytics

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How AI is reshaping demand for IT skills and talent

CIO Business Intelligence

Organizations are also seeking more established IT skills such as predictive analytics, natural language processing, deep learning, and machine learning, says Mike Hendrickson, VP of tech and dev products at Skillsoft. Another area that will benefit from upskilling is AI ethics.

IT 105
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How to choose the best AI platform

IBM Big Data Hub

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

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Trending Technologies for BI & Financial Planning and AnalysisMaking AI Real (Part 2)

Jedox

Part one of our blog series explored how people are the driving force behind the digital transformation and how it is fueled by artificial intelligence and machine learning. Advanced analytics responds to next-generation requirements. This is known as prescriptive analytics. Simply put, it is extremely(!)