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Will big data solve the innovation gap?

Jeffrey Phillips

We could call this the "innovation gap". Many of have (in some cases for years or decades) advocated tools and methods as a way to improve the innovation funnel, to create more innovation more readily that had value as new products and services. To date, there's been some improvement but the innovation gap still remains.

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Big Data in Open Innovation

Yet2

As leaders in Open Innovation, at yet2 we strive to innovate ourselves. Using Big Data in our own scouting activities has been an investment we’ve been making over the few years. We believe the most important step to get right in any Big Data strategy is having access to high-quality and unique data sets.

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The future interplays between design thinking, technology and AI

Paul Hobcraft

Exploring the interplay between Humans, Technology and AI for design thinking Why is design thinking regarded as so crucial to the future of innovation in a world of accelerating interplays between humans, technology and generative AI? Moving to the edge : Organizations are becoming more agile by adopting an “edge” approach.

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Design Thinking Requires the Human Touch in a World of Technology and GenAI.

Paul Hobcraft

Design Thinking is seen as the essential element that will combine with technology and AI in the future, yet the need for the human touch will still be essential. This can lead to a radically different approach to developing innovative solutions, ones that need to consider the interplay between humans, technology, and generative AI.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations.

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Understanding the 5Vs of Big Data

Acuvate

In order to understand at what point ‘data’ transitions into being ‘big data’, and what its key elements are, it is imperative that we study the 5 Vs associated with it: Velocity, Volume, Value, Variety, and Veracity. What is Big Data. Big data volume defines the ‘amount’ of data that is produced.

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How to Innovate with Big Data: 4 Essentials

InnovationManagement

A few years ago, big data was a brand new frontier for businesses, and few could afford to leverage the technology on a large scale. Today, it’s much more accessible for companies of all sizes, and the field of big data has begun to mature.