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The What, Why and How of Feature Engineering

Acuvate

The What, Why and How of Feature engineering Artificial intelligence and machine learning have pervaded every industry, yielding substantial returns to those invested in them. The post The What, Why and How of Feature Engineering appeared first on acuvate. While machine learning involves training […].

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Innovation and AI – A Killer Combination?

Destination Innovation

Since then this approach has been used successfully in various fields – particularly in engineering and component design. Now big data and artifical intelligence (AI) have changed the playing field. There are now software products which can scour diverse data to find promising starting points for your innovation goals.

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Parkinson’s Law and the Peter Principle – are they relevant to innovation?

Idea to Value

When it becomes possible through re-engineering (1990s) so 5 people and a machine can generate 100 reports, or through digitalization (these days) so 5 people and a cloud can let users generate any report they might need, the Parkinson crowds get angry. Innovation is anathema to rigid outfits because it involves redesigning work.

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Top 5 Myths About Data Analytics You Should Stop Believing

Acuvate

Data Analytics in Business. According to Stastia , the global big data market is forecasted to grow to 103 billion U.S. While data analytics helps companies make informed decisions and gain a competitive edge, misconceptions surrounding it can hamper its impact. But you cannot be further from the truth.

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The Powerful Intersection of Blockchain and Data Set to Transform and Drive Businesses Forward

Acuvate

This data, although often unstructured, is precious. Since all the print space was dedicated to big data and data analytics at the turn of the millennium, these sciences have proven revolutionary, helping organizations plan their strategies, make fiscally sound decisions and win in a competitive landscape.

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Industry 4.0

eZassi

With Innovation Management In today’s rapidly evolving business landscape, staying ahead of the competition requires embracing Industry 4.0 It’s all about embracing automation, artificial intelligence, big data, and the Internet of Things to optimize productivity, efficiency, and innovation across the supply chain.

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Recognizing the Building Blocks of Innovation

Paul Hobcraft

Artificial Intelligence (AI) and Machine Learning : With the explosion of big data, AI and machine learning have become increasingly important in innovation. These technologies can help organizations analyze vast amounts of data, identify patterns and insights, and develop new products and services that meet customers’ needs.