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AI this Earth Day: Top opportunities to advance sustainability initiatives

IBM Big Data Hub

The key to achieving the United Nation’s target through 2030 lies in enhancing the performance of assets, facilities and infrastructure. Generative AI refers to deep-learning models that can take raw data and “learn” to generate statistically probable outputs when prompted.

IoT 86
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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. AI-enabled robots can work around sensitive organs and tissues, reducing blood loss, infection risk and post-surgery pain. How does artificial intelligence benefit healthcare?

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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) They can also reduce the likelihood of human error, deliver more personalized customer messages and identify at-risk customers.

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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] Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI). Just starting out with analytics?

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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.

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Five machine learning types to know

IBM Big Data Hub

Supervised learning is commonly used for risk assessment, image recognition, predictive analytics and fraud detection, and comprises several types of algorithms. A semi-supervised learning model might use unsupervised learning to identify data clusters and then use supervised learning to label the clusters.

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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