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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. Ezassi Innovation Management Software advances project pipeline management. Industry 4.0 Industry 4.0

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Digital Transformation, Data and Innovation

Jeffrey Phillips

Digital transformation is either involved in creating more data (using sensors and IoT devices to gain more data), managing and understanding the data (Big Data, predictive analytics) or using data to make decisions or take actions (autonomous vehicles, robots, AI and machine learning).

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Companies betting big on open innovation

hackerearth

And, our clients have been absolutely blown away by the speed and quality of what we’ve done,” says Richard Walker, Principal, Deloitte Consulting. In 2014, Cisco Entrepreneurs in Residence , a startup innovation program, was launched to embrace “openness” and transform the IoT/IoE and Big Data spaces.

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Nearshore, Offshore, and Onshore: what is the difference between types of IT outsourcing?

mjvinnovation

Here at MJV, we use mixed squads, including team leaders, designers, and strategists from our facilities in Lisbon, and back-end software development provided by our teams in Brazil. Cloud Platforms Automated Delivery Pipeline Services Container Management and Support DevOps Consulting Continuous Integration and Deployment.

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Four Steps for the successful Implementation of a holistic Innovation Management

ITONICS

Based on our long-standing cooperation with international innovation leaders, we have developed a consulting approach consisting of four components using frameworks, methods, and training to establish and encourage successful and holistic innovation management. The first step in innovation consulting deals with these questions.

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Data Science: Why and How do you Invest in Data?

mjvinnovation

With the growth of the Internet, the Internet of Things and the exponential increase in the volumes of data produced, there was a flood of new information – or Big Data. The data scientist: defines the problem; identifies the main sources of information; designs the structure for collecting and sorting the required data.

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How a Big Data Strategy Can Fight Insurance Fraud

mjvinnovation

At the same time, insurers have also understood that they need a Big Data strategy for various purposes. Continue reading and understand how Big Data can help insurers avoid headaches and financial damage! What is Big Data. ” Real Time Big Data. ” Real Time Big Data.