VUI, Voice User Interfaces, widely known among sci-fi fans such as Jarvis in the superhero blockbuster series Iron Man, are now introduced in people's real life, enabling people to control a machine through simply talking with technology giants Apple and Amazon publishing their own personal assistant. Until recently it is considered to be artificial intelligence, an essential ingredient of a completely connected future....
As the digital world becomes more complex, leadership teams are becoming increasingly dependent on analytics to help guide actions and decisions. “Realistically, if we want to improve, we have to look to our analytics team,” said Gareth Herschel, research director, at Gartner Symposium/ITxpo in Barcelona, Spain. “Analytics is the glue to help achieve objectives given the culture...
The growing importance of data analytics in business is leading to the appointment of senior data scientists to provide company-wide insights. Big data analytics can transform how businesses operate. While marketing and sales businesses cottoned on to this early, more and more previously non-tech-focused companies are realising the benefit of having expertise on board. “The...
Forecasting sales with predictive analytics is a valuable business asset, but must be used with care and in-depth understanding. Source: Raconteur Media
Cloud analytics has become a strategic priority for many businesses. In the State of Cloud Analytics survey, IDG interviewed IT and business leaders in North America and EMEA to discover how businesses are deploying cloud analytics and why self-service analytics is driving growth. The first survey was published in September 2015 and the second published…
What are the key roles in data science? Here’s a look at the various job positions in the data science industry and what they mean. A data scientist cleans, massages, and organizes Big Data, according to DataCamp in the following infographic. A database administrator, on the other hand, focuses on backup and recovery, data modeling and design,…
Building a successful data science program in your company relies on a good understanding of the data professionals who extract insights and value from data and how they do it. Toward that goal, we asked over 600 data scientists about their skills, jobs, colleagues and more. We have summarized the results of this infographic that summarizes some of the major findings…