Conversations with Dataconomy

Getting Your Feet Muddy With Data Science: A Conversation With Ross Taylor
Big DataConversations

As companies digitize and data occupies a more central place in our lives, corporations are struggling to find enough talented people to meet the business challenges they face. This has created exceptional opportunities for individuals who are up for tackling those challenges. Ross Taylor of ALPIMA started his career as an economist

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Women In Data Science: &Quot;We Built A Conference To Become A Movement&Quot;
ConversationsFeatured

2018 has brought a new focus to the careers, excellence and issues of working women, and this extends into the fields of tech and data science. As we approach the Women in Data Science (WiDS) conference on March 5, 2018, it is important to take a moment and reflect on

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Machine Learning For Connecting Organizations: A Conversation With Roger Gorman
ConversationsMachine Learning

In the 1990s, anthropologist Robin Dunbar hypothesized that the maximum number of people an individual can personally know and remember is 150 — Dunbar’s number. The specific figure is debated, but it is common sense that the human cognitive capacity to understand relationships at scale has a limit. The larger

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Taking A Look At &Quot;Hyper-Personalization&Quot;
ConversationsRetail & ConsumerTech Trends

The sudden evolution of the phone from a single-function device for making calls to a multifunctional pocket computer is one that’s already changed how we conduct business and live our lives a great deal. Now more than ever before, however, our behavior is also influencing this evolution to create products

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Investing, Fast And Slow - Part 3: From Satellites To Stocks
ConversationsFinanceFinTech

Financial markets offer countless ways of making (or losing) money. A key distinction among them is the investment horizon, which can range from fractions of a second to years. Previously, I sat down to talk about investing and data with co-founders of new investment management firms representing the high-frequency and

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Investing, Fast And Slow - Part 2: Investment For Data Scientists 101
ConversationsData ScienceFinanceFinTech

Financial markets offer countless ways of making (or losing) money. A key distinction among them is the investment horizon, which can range from fractions of a second to years. Walnut Algorithms and Global Systematic Investors are new investment management firms representing the high-frequency and low-frequency sides, respectively. I sat down

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AI making BI Obsolete

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