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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. Using AI, business teams can “clean” data, manage through gaps, and report across different frameworks.

IoT 79
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A Golden Era of HPC in Government Meets Accelerating Demands

CIO Business Intelligence

But the New York Times recently reported that Chinese researchers had broken the exascale computing barrier, performing a calculation that would have taken the Oak Ridge National Laboratory’s former machines 10,000 years to complete in a mere 304 seconds. . billion by 2030. HPC Comes of Age. The global HPC market is hot?generating

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The benefits of AI in healthcare

IBM Big Data Hub

According to Statista , the artificial intelligence (AI) healthcare market, valued at $11 billion in 2021, is projected to be worth $187 billion in 2030. One use case example is out of the University of Hawaii, where a research team found that deploying deep learning AI technology can improve breast cancer risk prediction.

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The Technology Enabling Successful Hybrid Workforce Transformation

CIO Business Intelligence

While more than half of C-suite executives agree on the need to reimagine workforce models, only a quarter feel their organizations are ready to address the evolving environment, according to Deloitte’s 2023 Global Human Capital Trends report. [2] 2] In this arena, desktop virtualization and cloud technologies will play starring roles.

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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. trillion to the global economy in 2030, more than the current output of China and India combined.” ” Of this, PwC estimates that “USD 6.6

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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.