You've made it! The years of hard work and gaining experience in your field has finally paid off. You're a Data Scientist! You're a part of an innovative, forward-thinking team working on exciting, world-changing projects. You've got a great salary and tasty benefits package, flexible working and not an uncomfortable suit and tie in sight. Time to put down the books and enjoy … [Read more...] about Why You Need To Keep Learning In Data Science
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How to Structure a Data Science Team: Key Models and Roles to Consider
If you've been following the direction of expert opinion in data science and predictive analytics, you've likely come across the resolute recommendation to embark on machine learning. As James Hodson in Harvard Business Review recommends, the smartest move is to reach for the low hanging fruit and then scale for expertise in heavier operations. Just recently we talked … [Read more...] about How to Structure a Data Science Team: Key Models and Roles to Consider
Big Data Analytics & Effective CEM Strategy in Financial Services 2017
Big Data Analytics & Effective CEM Strategy in Financial Services World Summit 2017 draws together highly-regarded expert speakers from across the ecosystem of financial services industry and big data analytics solution providers to present to you the latest key trends and development in big data analytics and effective CEM strategy. The highlights of the summit will be … [Read more...] about Big Data Analytics & Effective CEM Strategy in Financial Services 2017
Apache Flink: The Next Distributed Data Processing Revolution?
Disclaimer: The results are valid only in the case when network attached storage is used in the computing cluster. The amount of data is growing significantly over the past few years. It is not feasible for only one machine to process large amounts of data. Therefore, the need of distributed data processing frameworks is growing. It all started back in 2011 when the first … [Read more...] about Apache Flink: The Next Distributed Data Processing Revolution?
What To Consider When Hiring Data Science Talent
The truth is that hiring for data science is in many ways more of an art than a science. That does sound oxymoronic, but that does not make it any less true. The reason is obvious. Data science is so new that it can be hard to know what you're actually looking for. What is the set of skills and abilities that will make a data science team fly and which one will make them … [Read more...] about What To Consider When Hiring Data Science Talent
