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Introducing Our Next-Gen AI Innovation Management Capabilities

Qmarkets

We are now injecting the full power of generative AI across our entire suite of innovation management tools. AI and big data have been prevalent in the Qmarkets platform for a long time already, including our ‘similar idea’ engine, ‘automated clustering’, ‘content matchmaking’, ‘expert recommendations’ and more.

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Cognyte Selects Qmarkets to Support Market-Leading Security Analytics Software

Qmarkets

Cognyte, the global leading security analytics software provider, has launched an innovation management program with the Qmarkets Q-ideate tool. With over 25 years of experience, Cognyte employs big data, AI, data visualization tools to respond to rapidly evolving security threats and find new ways of delivering value.

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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 and leveraging the power and adaptability of Innovation Management and strategy. Ezassi Innovation Management Software advances project pipeline management.

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Barriers to innovation, the cause and effect.

Paul Hobcraft

I am on a personal mission to convince innovation software providers, corporations and innovators to change how they undertake innovation. In some recent posts, I argued that we need to adopt a broader innovation ecosystem thinking and design. How far has innovation management and its capacities come?

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Recognizing the Building Blocks of Innovation

Paul Hobcraft

To look forward, I would argue we always need to look back and account for the progress made in managing innovation over the years. So this post reviews many great contributors to advancing innovation over the years. Briefly, I summarize what these have been bringing into innovative thinking.

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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. Manufacturing. Conclusion.

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A New Way of Thinking About the Automotive Industry

Qmarkets

While cars have become increasingly more computerized, they are still relatively unintelligent, inefficient, and rarely connected to the Internet with no unifying platform that allows third party software to be run. On the 6 th of July Qmarkets will host leaders from a variety of organizations at the Munich Automotive Innovation Day 2017.