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Unlocking AI: Machine learning as a service

CIO

This meant that it was relatively easy for it to be analyzed using simple business intelligence (BI) tools. On top of this, the rate at which this data is being created is expected to increase at such an extent that IDC predicts the global datasphere will grow from 33 zettabytes (ZB) in 2018 to 175 ZB by 2025 [2].

Learning 530
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Translating Artificial Intelligence: Learning to Speak Global Languages

Smart Data Collective

Have you ever wondered what it would be like if machines could learn to speak every language in the world? You’ll discover how machines are evolving to understand and communicate in different languages, the role of neural networks in language learning, and the challenges of translating complex expressions.

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AI Safety Summit: What to expect as global leaders eye AI regulation

CIO

The AI Safety Summit, convened by the UK government, is the latest in a series of regional and global political initiatives to shape the role AI will play in society. That’s why learning to better forecast unpredictable leaps in AI capability, and keeping AI under human control and oversight, are also on the summit agenda.

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Agent Swarms – an evolutionary leap in intelligent automation

CIO

This article was co-authored by Shail Khiyara, Founder, VOCAL COUNCIL, and Pedro Martins, Global Transformation Leader, Nokia. Agent Swarms, with their capacity for decentralized control and collective intelligence, and their promise of autonomous decision-making – have emerged as the answer to this urgent call.

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Swiss energy services company uses machine learning to see the future

CIO

If IWB hoped to fulfill its mission of helping to usher in a fully renewable future, an intelligent solution had to be developed to accurately predict solar power production. The new platform would alleviate this dilemma by using machine learning (ML) algorithms, along with source data accessed by SAP’s Data Warehouse Cloud.

Learning 565
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Johnson & Johnson’s big bet on intelligent automation

CIO

Three years ago, Johnson & Johnson (J&J) set out to apply intelligent automation (IA) to every aspect of its business. By combining RPA with machine learning (ML) and artificial intelligence (AI), they sought to automate more complex tasks. But organizations like J&J wanted to take automation further.

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Algorithmic Trading Communities Show the Benefits of AI

Smart Data Collective

Artificial intelligence has led to some pivotal changes in the financial sector. Some use machine learning technology to create models that more accurately predict price movements. However, some have started using AI to automate many trading decisions with algorithmic trading. AI Helps Traders Automate Their Transactions.

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