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Industry 4.0

eZassi

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. This robot moves freely through the laboratory, automating routine tasks of picking up, transporting, and scanning petri dishes. Industry 4.0

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6 Remarkable Applications of AI in the Oil & Gas Industry

Acuvate

Darryl Williams, Corporate Vice President of Energy at Microsoft , rightly said, “Technologies like AI and machine learning can analyze the past, optimize the present, and predict the future.” However, these companies often lack the ability to use this data to arrive at meaningful insights and conclusions. Driving workplace safety.

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We’re on a mission. Next stop, China!

100%Open

We are offering up to 15 UK companies with a unique opportunity to benefit from a tailored and supportive mission programme in November, consisting of high-level presentations, discussion sessions, pitching and networking opportunities and site visits.

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Data-Driven Mindset: how to implement data culture in your company?

mjvinnovation

The benefits of guiding your decision making with data are numerous, among them: Cost reduction Decrease in rework Efficiency Customer satisfaction Market value. The rise of data-driven culture. Data Science. What we need at this present moment is to focus on the individual, to know and understand their needs in-depth.

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Applications of Artificial Intelligence (AI) in business

hackerearth

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. Improvement in machine learning (ML) algorithms—due to the availability of large amounts of data. Knowledge: The ability to present knowledge about the world.

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The Innovation-Driven Disruption of the Automotive Value Chain (Part 2)

Corporate Innovation

While investing heavily in R&D, automotive OEMs had not been investing in technologies and business models that are now used by newcomers to disrupt them (software, big data, user experience, additive manufacturing/materials, energy storage, sharing economy, direct to consumer). Multimodal transportation. Connected car.

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The Innovation-Driven Disruption of the Automotive Value Chain (Part 2)

Corporate Innovation

While investing heavily in R&D, automotive OEMs had not been investing in technologies and business models that are now used by newcomers to disrupt them (software, big data, user experience, additive manufacturing/materials, energy storage, sharing economy, direct to consumer). Multimodal transportation. Connected car.