Learn how to apply the lessons of the election to your predictions, what the major security threats in the public cloud are, and how to combine machine learning with unstructured data.
- By Quint Turner
- November 30, 2016
The algorithms are coming. According to Gartner, "algorithmic retail" will overtake and transform the retail market by the year 2020.
Learn to limit storage of unnecessary data, how to recover after a data breach, and what 2017 holds for open source security.
- By Quint Turner
- November 29, 2016
It was hard enough to manage testing and quality assurance in the old days. In the context of big data, cloud, streaming data, and other still-emerging technologies, automated testing and quality assurance is a necessity, not a luxury.
At TDWI's recent Executive Summit in San Diego, Chick-fil-A's Justin Winter talked about his company's hugely successful mobile app, which is both a product of advanced analytics and a vital source of marketing and customer data.
Define big data and data science, learn why the U.S. election result doesn’t indicate inherent problems with analytics, and ensure your enterprise is compliant with big data regulation.
- By Quint Turner
- November 28, 2016
Articles look at data breaches, dark data, being successful as a data scientist, tips for improving your data visualizations, and monitizing your data.
- By Quint Turner
- November 28, 2016
The AI-ification of the enterprise has begun. This trend is expected to accelerate over the next few years, with spending on AI increasing to a staggering $47 billion in 2020.