Hidden Insights

Analytics

Find out how analytics, from data mining to cognitive computing, is changing the way we do business

Analytics

James Ochiai-Brown11 February 2019 0

How is an analytical model like a wild salmon?

Life phases Wild salmon spend the first phase of their lives in rivers, developing through stages as they make their way downstream to the estuary. Here they embark on the second phase of life, swimming in the open ocean and eventually returning to the river to spawn. Analytical models are

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Analytics

Caroline Hermon4 February 2019 0

Problems, possibilities, permutations and the growing role of analytics platforms

I get asked a lot of questions by customers at all levels. They want to know how to solve their problems, and it is part of my role to help them find answers. The range of questions is extremely broad. Data scientists want to know how they can improve collaboration

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Analytics

Marco Casazza1 February 2019 0

Un nuovo approccio al tema della sicurezza: Security Analytics

I Centri operativi di sicurezza (SOC) e le piattaforme di gestione degli eventi di sicurezza (SIEM) hanno rappresentato per anni un importante investimento per molte aziende, che ancora oggi considerano le tecnologie SIEM come elemento centrale della propria strategia di monitoraggio della sicurezza. La realtà è ben diversa e come

Italian

Analytics | Artificial Intelligence

Hidden Insights: 2019: Brexit continues to make fools of us all, but it’s AI to the rescue

Dr. Laurie Miles1 February 2019 0

2019: Brexit continues to make fools of us all, but it’s AI to the rescue

May you live in interesting times – or so the old Chinese curse goes. Well, we’re certainly doing that. In 2017, the global economy was firing on all cylinders, and things weren’t looking too bad. Since then, a mixture of protectionism, the Sino-US trade war and economic uncertainty has changed

English

Analytics | Data for Good

Hidden Insights: What can data science escape rooms do for your innovation program?

Janny Morsink31 January 2019 1

What can data science escape rooms do for your innovation program?

The Economist magazine takes pride in its ability to provoke deeper thinking. One of its campaigns was to ask people to taste weird-looking foods, such as smoothies made from “ugly” produce that had been rejected by supermarkets. The idea was to stimulate participants to reassess what was important to them.

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Analytics

Caroline Hermon25 January 2019 0

Becoming data-driven

So, you want to compete and become a data-driven organisation, like everyone else in your market? Increasingly, organisational use of analytics has moved beyond process improvement, as analytics maturity increases. The most advanced organisations are now using data and analytics to generate new business models, products and services. In practice,

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Analytics

Alena Tsishchanka23 January 2019 0

A roadmap for cultivating a data-driven culture

In my previous post, I suggested that it was possible to provide a road map that would help with the introduction of artificial intelligence, advanced analytics and machine learning into insurance companies. This post outlines the process. Start at the beginning The first area to address is applications where the

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Insurance

Analytics | Internet of Things

Federico Alberto Pozzi14 January 2019 1

How high-end fashion can benefit from better use of analytics

Fashion and analytics are not obvious partners. However, fashion is a business like any other, and like other businesses, it can benefit from understanding its customers better. Recent experience with one particular high-end fashion retailer suggests that good use of analytics, including predictive modelling, drawing on an end-to-end analytics platform,

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Retail

Analytics

Hidden Insights: Agile to active: The path from open source to open scalability

Biagio Grasso10 January 2019 0

Agile and active: scaling open source in the enterprise

For many organisations, open source supports the rapid and agile development of projects and models. New projects enable significant success with fast deployment of analytics projects, and also – importantly – supports a failing fast strategy without having to incur significant infrastructure costs. Deploying open source at the enterprise level

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Blogs

Blogs

Analytics