Posts In Category

Data Science

While the field of data science is not tied directly to Big Data, advances in one tends to produce advances in the other. Big Data increases our ability to harvest and process data, while data science allows us to dig into it for insights.

Data ScienceFinanceFinTech

Did you doze off and miss the digital banking revolution? If so, here is your indispensable guide to choosing a digital banking platform The innovative nature of the financial services industry calls for constantly introducing new solutions to the market. Nowadays, implementing digital banking platform is a must, and should

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Artificial IntelligenceData ScienceMachine Learning

From Jeopardy winners and Go masters to infamous advertising-related racial profiling, it would seem we have entered an era in which artificial intelligence developments are rapidly accelerating. But a fully sentient being whose electronic “brain” can fully engage in complex cognitive tasks using fair moral judgement remains, for now, beyond

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Big DataData ScienceData Science 101Understanding Big Data

If you are new to the field, Big Data can be intimidating! With the basic concepts under your belt, let’s focus on some key terms to impress your date, your boss, your family, or whoever. On November 25th-26th 2019, we are bringing together a global community of data-driven pioneers to talk

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Big DataData ScienceTechnology & IT

The Value of Data Goes Beyond Any Number A quick look around the 21st century marketplace reveals a simple truth: the value of data has changed. Industries that once stood alone and operated in silos, have become interconnected by sheer necessity – collecting, analyzing, sharing and even selling data. Thus,

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Career in Data Sciencce
BI & AnalyticsData ScienceTechnology & IT

Given the enormous amount of Business Intelligence software solutions available, narrowing down the right one for your business can be a tedious process. How does a business start implementing this software? One way to start is by looking at systems that are popular among peers, because those products are the

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Data ScienceMachine LearningResourcesTopics

In the last few months, I have had several people contact me about their enthusiasm for venturing into the world of data science and using Machine Learning (ML) techniques to probe statistical regularities and build impeccable data-driven products. However, I’ve observed that some actually lack the necessary mathematical intuition and

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BI & AnalyticsData ScienceTechnology & IT

Data Science Platforms: Myth v. Reality The phrase “data science platform” has been bandied about a lot recently — at conferences, in market research, and in tech publications like this one. Forrester named data science platforms a top emerging technology last year, and companies using data science at an enterprise

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Data ScienceInternet of ThingsResourcesTech Trends

2017 is set to be a success for the IoT industry, as the number of connected things grows at soaring speeds. The time has come for businesses, consultancies, and entrepreneurs to tap into this opportunity, if they want to stay in the vanguard. Of the projected 8.4 billion IoT-enabled devices

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Data ScienceEventsInternet of ThingsStartups

 Convince Your Boss! 5 Reasons to Attend the IoT Weekend You really want to come to our IoT workshop but you are not sure how to convince your boss to pay your ticket? Say no more. We’ve prepared some pretty good reasons for you (not that you do not know

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BI & AnalyticsData ScienceResourcesUnderstanding Big Data

There’s a part of data science that you rarely hear about: the deployment and production of data flows.  Everybody talks about how to build models, but little time is spent discussing the difficulties of actually using those models. Yet these production issues are the reason many companies fail to see

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