Strategies for quality data science investments, how changing AI could change data scientist roles, and why passwords are more ubiquitous than ever.
- By Lindsay Stares
- February 9, 2017
Infrastructure speed has reached a plateau. Today's enterprises should be seeking out predictive, automated solutions to improve their enterprise infrastructure.
- By Rod Bagg
- February 9, 2017
When it comes to embedding analytics insights into your business, technology is the easy part. Figuring out what to do and how to do it is much harder.
Making your visualization interactive may involve many different levels of interaction, including providing greater detail, a hands-on feeling, or an invitation to explore.
- By Lindsay Stares
- February 8, 2017
Big data goes beyond volume, variety, and velocity alone. You need to know these 10 characteristics and properties of big data to prepare for both the challenges and advantages of big data initiatives.
- By George Firican
- February 8, 2017
Future businesses will be defined by new efficiencies, strategies, and business models created with data-driven knowledge. If companies wish to maintain traditional on-premises ERP solutions, they will face costs and compromises.
- By William McKnight
- February 7, 2017
A new class on recognizing fake or distorted data, why data science needs transparency, and the basics of the blockchain distributed database.
- By Lindsay Stares
- February 7, 2017
Four steps you can take to retain top talent by ensuring your analysts stay productive and engaged in their work.
- By Pete Reilly
- February 6, 2017
Marketing is evolving from communication to the masses to communication to the one. By using a recommendation engine, you can determine the next best step for each customer journey and use that to increase customer loyalty and revenue.
- By Troy Hiltbrand
- February 3, 2017