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AI this Earth Day: Top opportunities to advance sustainability initiatives

IBM Big Data Hub

We believe there are three core areas that every organization should focus on: sustainability strategy and reporting; energy transition and climate resilience; and intelligent asset, facility and infrastructure management. This approach can help organizations to more easily establish a sustainability strategy across the business.

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A Golden Era of HPC in Government Meets Accelerating Demands

CIO Business Intelligence

billion by 2030. Real-time big data analytics, deep learning, and modeling and simulation are newer uses of HPC that governments are embracing for a variety of applications. Deep learning, together with machine learning, is able to detect cyber threats faster and more efficiently. . HPC Comes of Age.

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Digital Twin Use Races Ahead at McLaren Group

CIO Business Intelligence

billion by 2030. 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. . Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI).

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AI in marketing: How to leverage this powerful new technology for your next campaign

IBM Big Data Hub

A recent study by Price Waterhouse Cooper (PwC) estimates that by 2030, artificial intelligence (AI) will generate more than USD 15 trillion for the global economy and boost local economies by as much as 26%. (1) 1) But what about AI’s potential specifically in the field of marketing?

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The Technology Enabling Successful Hybrid Workforce Transformation

CIO Business Intelligence

Driven by the growth of cloud-based technologies, the global VDI market is projected to reach a value of more than USD78 billion by 2030. [3] To create a productive, cost-effective analytics strategy that gets results, you need high performance hardware that’s optimized to work with the software you use.

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Conversational AI use cases for enterprises

IBM Big Data Hub

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. billion by 2030. This data can be used to better understand customer preferences and tailor marketing strategies accordingly. It aids businesses in gathering and analyzing data to inform strategic decisions.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

Regardless, given the wide range of predictions for AGI’s arrival, anywhere from 2030 to 2050 and beyond, it’s crucial to manage expectations and begin by using the value of current AI applications. Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move.