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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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Big Data: get to know your customer to generate more business

mjvinnovation

On the way to the end of the purchase, the customer contacts the brand several times in the virtual environment, be it on the website, social networks, chat, e-mail and even in channels with videos explaining ways to use. In this context, Big Data provides important data about customer behavior.

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Combining Intuition and Analysis

Michael Roberto

We live in an age of big data. I'm a big believer in analytics, but I hope we don't forget that intuition does play an important role in decision-making processes. In the video below, I explain briefly what intuition is and how it works. How can we combine intuition and analysis to help us make better choices?

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2018 Patent Analysis: Patent Quality and Utility Essential to Patent Owners

Anaqua

With the ability to integrate “big data” market analytics with internal portfolio analysis, IP organizations can be smarter about their patent strategies, better supporting the business while maintaining increased budget control.

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“Business-ready” Big Data Insights: a new approach to data analytics

Innovation Excellence

This presentation from the Chief Innovation Officer Summit in NYC is focused on a new approach to data analytics that takes it out of the proverbial lab and makes it actionable for the boardroom. Continue reading →

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A better way: combining Business Intelligence with Design Thinking

mjvinnovation

Learn how to combine these forms of analysis and apply it in your business. A qualitative analysis of Business Intelligence is added through the experimental and collaborative methodology brought by Design Thinking. Big Data: data analysis is what really matters. A new approach: BI and DT.

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Artificial creativity (A.C.): Can a computer be creative? It’s scarily close

Idea to Value

The big upcoming leaps come from research into how machines can emulate the human thought process. In recent years, big data and deep learning algorithms, and the ability to spread processing power across thousands of computers in the cloud, is making this process more and more effective. Writing its own TED talk.