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Applications of Artificial Intelligence (AI) in business

hackerearth

Businesses that use Artificial Intelligence (AI) and related technology to reveal new insights “will steal $1.2 Recent advances in AI have been helped by three factors: Access to big data generated from e-commerce, businesses, governments, science, wearables, and social media. predicts Forrester Research. Manufacturing.

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The future interplays between design thinking, technology and AI

Paul Hobcraft

This shift has prompted innovation to develop tools and design approaches that support these changes in several critical ways based on four global aspects: Learning from real-time data : Traditional analytics models and past performance data may not be entirely relevant in today’s ever-changing business landscape.

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Recognizing the Building Blocks of Innovation

Paul Hobcraft

So this post reviews many great contributors to advancing innovation over the years. Over the years, so much has improved and understood by the explanations, case examples, suggestions, clarifications and ways they were “built into” the individual innovation processes that each company chose to construct their innovation process.

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11 Artificial Intelligence Eureka!s for Organizations: my recap of World Summit AI 2017

Open Innovation EU

In 1990 Kurzweil instantly incubated the way we think about Artificial Intelligence (AI) with his work The Age of Intelligent Machines. Last week, on October 11 and 12, over 2000 professionals in AI gathered in Amsterdam at the World Summit AI 2017 and discussed the state of Artificial Intelligence and Machine Learning.

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Data-Driven Approaches Helping Public Sector with Sustainable Water Management

Acuvate

So when something goes wrong, for example, a leak, breakage, overflow, or contamination occurs, severe consequences (expensive asset damage or critical health issues) ensue before it is actually corrected or rectified. How are sustainable technological solutions enabling Smart Water Management (SWM)?

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Smart Factory 101 A Data, AI, Cloud and Workforce Revolution in the Making

Acuvate

For example, 93% of supply chain and industrial experts want to prioritize the resilience of their manufacturing operations, and 70% agree that a smart factory is the best approach to get there. For example, changes in product design, market demands, or production volume are more difficult to accommodate in these rigid legacy solutions.

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Smart Factory 101 A Data, AI, Cloud and Workforce Revolution in the Making

Acuvate

For example, 93% of supply chain and industrial experts want to prioritize the resilience of their manufacturing operations, and 70% agree that a smart factory is the best approach to get there. For example, changes in product design, market demands, or production volume are more difficult to accommodate in these rigid legacy solutions.

Data 52