3 Eras of Analytics – Lessons About Hiring and Buying
Understanding evolving roles and your present-day needs is key in staffing, training and buying for analytics and Big Data
4 Key Ways You Can Streamline Algorithm Deployment
Creating the best algorithms can't be magic; it needs to be a replicable process for your team. What are the critical needs for this to
IBM Unfurls Analytics Platform Based on Microservices
Microservices will be enabled by Kubernetes container orchestration software which could change how next-generation AI applications are
How to Build a Data Science Team, a Member at a Time
There simply aren’t enough good data scientists to go around. Instead of looking for one person, you can form a diverse data science
Why You May Want a Career in Data Science
Data scientists are in high demand and draw big salaries. Here are some stats on the hot field as well as an infographic that offers a snapshot of the …
Are Data Science Tasks Destined for Automation?
Gartner predicts that 40 percent of data science tasks will be automated in less than three years. However, as the complexity of machines increases, so will …
Educating Future Data Scientists in Real-Time Analytics
The data scientist, a relatively new and critical role, is concerned with developing a historical model from Big Data that can be deployed in real-time to …
The Big Data Continuum: From Data Scientists to Empowered Business People
The amount of words that have been written about Big Data over the past four years is astounding. If Big Data hasnÔÇÖt become a big topic in your …