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Could Artificial Intelligence Contribute to Open Innovation?

Yet2

As innovation experts we strive to innovate our own processes, recently we shared our advances in ‘big data’ analyses in our blog and here we begin to delve into the possibility of using AI as an open innovation tool. First, as an AI model, it can be used to generate human-like text based on a given prompt.

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Vision: the superpowers of Machine Learning

mjvinnovation

Created by Tony Stark, the android is such an advanced artificial intelligence that it has awakened self-consciousness in the events of Avengers: the Age of Ultron. In our Data Science universe, it represents Machine Learning. Machine learning is nothing more than a model of data analysis.

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Recognizing the Building Blocks of Innovation

Paul Hobcraft

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. and Artificial Intelligence: By combining open innovation 2.0

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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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Infographic – 5 trends that will revolutionize the energy market in the next few years

mjvinnovation

Is your company aligned with the new direction that the energy market is heading towards? Energy market: the future is knocking. But it is not immune to changes that may require a fresh look at today’s existing business models. An Open Energy scenario arises in which micro markets become possible.

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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. dollars by 2027, more than double its expected market size in 2018. If you are an organization set out to embrace data analytics, here’s a list of the top 5 myths you need to be aware of.

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The What, Why and How of Trade Promotion Forecasting

Acuvate

Given the degree of criticality and the investment made in trade promotions, retailers and CPG companies must ensure the maximum returns by running data-driven trade promotions. This is a key component in deriving the best possible return on investment done on marketing and trade promotional activities.