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Since 2003, the Open Innovation approach has been widely disseminated and analysed in the scientific and professional world of management, but its application is by no means a given. It requires partnerships that are not obvious and that offer unconventional and sometimes unthinkable knowledge, ideas, skills and information.

Edge AI ​​edge allows you to bring computing capacity directly to the source, reducing latency and energy spent on moving processing to the cloud.

Enabled by the Intel® Xeon® D-1700 processor, SECO JULIET brings acrossthe-board improvements to COM Express® modules for more flexibility and modularity in embedded computing.

The pandemic has produced enormous digital acceleration. Gartner estimates that the results usually achieved in 5 years were achieved in 2020 alone. New digital habits such as eCommerce, software as-a-service, online education, smart working and telemedicine continue to increase, albeit at different speeds. Also consider the cutting-edge methods used to quickly identify the vaccine and new drugs for Covid-19. The experience has led to a search for better technologies, a trend that offers attractive opportunities for companies capable of providing them.

IoT sensors transform a vending machine into a smart machine, which communicates with the customer to offer him the best possible purchasing experience.

There’s been a lot of talk about innovation in recent years: when you work on it, it’s your everyday life and everything is clear enough, but there’s always someone who manages to astound you. "Do you know about Startup Studios?"  “Not yet”, I often reply: I know new things come out all the time. It’s a sphere that, by definition, needs to be dynamic and evolve continuously, but at times it’s very ephemeral and you have to investigate so that you gain an understanding.

Many think that promoting "real" innovation is a very satisfying, "cool" job. My friends are astounded when I tell them how long it takes to build a partnership - from six months to a year - and the number of calls needed to get a project started (on average about twenty). They have no idea how many emotional ups and downs you have to manage, both yours and the person’s you’re dealing with.

With data monetization - the monetization of data, which is the process of strategic analysis and practical implementation that allows you to use data as a source of revenue - companies can transform data they have collected into monetizable value just like other assets. In fact, data monetization becomes a strategy that allows companies to virtuously recover the investments made on IoT and IIoT infrastructure, systems and platforms, accelerating their evolutionary path and designing new business scenarios.

Big data monetization - literally, data monetization, that is the process of strategic analysis and practical implementation that allows you to use data as a source of revenue, is one of the most rewarding objectives for any company that wishes to undertake a virtuous data-driven business path. However, its achievement can be hindered not only by a misinterpretation of the data already available but, above all, by a lack of correct investments in emerging technologies.

Edge computing enhanced by AI has countless applications. Let’s take a closer look at its positive impact on data analysis and how businesses can put such data to use.