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Sustainability trends: 5 issues to watch in 2024

IBM Big Data Hub

Circular economy: When waste is a resource Waste not, want not: the circular economy model, which aims to minimize unnecessary waste and make the most of resources, is booming. trillion in economic benefits by 2030. trillion in economic benefits by 2030. The smart factories that make up Industry 4.0

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Five machine learning types to know

IBM Big Data Hub

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. However, the growing influence of ML isn’t without complications.

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Conversational AI use cases for enterprises

IBM Big Data Hub

DL models can improve over time through further training and exposure to more data. When a user sends a message, the system uses NLP to parse and understand the input, often by using DL models to grasp the nuances and intent. billion by 2030.

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Digital Twin Use Races Ahead at McLaren Group

CIO Business Intelligence

The company is applying winning insights from rapid, data-driven, evolutionary models versus relying on engine speed and aerodynamics alone to win races. billion by 2030. which are virtual models of objects, systems, or processes ? and artificial intelligence (AI) and machine learning (ML) technologies. .

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A Golden Era of HPC in Government Meets Accelerating Demands

CIO Business Intelligence

billion by 2030. federal government, HPC is being used to accelerate basic science, develop therapeutics and other treatments for COVID-19, perform military applications such as simulations, handle climate and weather modeling, and a myriad of other tasks in diverse agencies. . generating $42 billion in 2021 and projected to reach $71.7

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How data, automation and AI are transforming Business Process Outsourcing into a competitive advantage

IBM Big Data Hub

Manik, VP and senior partner for IBM Consulting, outlined a massive opportunity to strategically redesign the client’s finance operations and payment processing by leveraging AI, data analytics, metrics and automation. ” One car manufacturer, for example, opened up a conversation by asking about an upgrade to its data servers.

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What is a data scientist? A key data analytics role and a lucrative career

CIO Business Intelligence

As such, a data scientist must have enough business domain expertise to translate company or departmental goals into data-based deliverables such as prediction engines, pattern detection analysis, optimization algorithms, and the like. Data science is a fast growing field, with the BLS predicting job growth of 22% from 2020 to 2030.