Narrative Science, a leader in advanced natural language generation for the enterprise, today announced availability of the newly enhanced Quill Engage. The artificial intelligence-powered application automatically translates Google Analytics data into actionable natural language reports.
I recently caught up with Dr. Olly Downs, Chief Scientist and CTO at Amplero to talk about the excitement surrounding his company’s launch of Amplero as well as some thoughts on the future of machine learning coupled with marketing.
An important key to capturing share of the growing digital spend comes down to the ability for publishers to leverage real-time data. According to research released by Forrester Consulting, access to real-time data analytics helps publishers make timely and informed decisions that uncover new revenue opportunities.
I recently caught up with Michael O’Connell who is Chief Data Scientist at TIBCO, a global leader in infrastructure and business intelligence software, to talk about the flourishing career outlook, demand and job security that a career in data science and business analytics are bringing to the higher education community.
I was happy to receive a review copy of book employing a very unique approach for teaching mathematics, “The Manga Guide to Linear Algebra,” published by No Starch Press. This is a comic book, perfect for new data scientists! The book is great for newbies because it clearly spells out each minute step in performing calculations involving vectors, matrices, determinants, linear transformations, kernels, eigenvalues and eigenvectors.
Text analytics recently has become a useful adjunct to other machine learning methods, of great interest to both data scientists and big data engineers. With “Practical Text Analytics: Interpreting text and unstructured data for business intelligence,” Dr. Steven Struhl provides timely and lucid discussion of the topic.
“Apache Drill coupled with the proper NoSQL data store opens up the opportunity for a single data source to be used for both transactional and analytical processing. There is no need to export or transform the data it into an application-specific or even a star schema format in order to load into a data warehouse. Time saved by not having to create software to serialize and deserialize the data into the data structures for any given language, coupled with simplified software testing and less code to maintain, add up to a BIG savings for any business.”