5 Reasons Data Scientists Should Adopt DevOps Practices
Enterprise software development teams have historically had trouble ensuring the code that runs well on a developer's machine also runs well in production. DevOps has promoted more collaboration between developers and IT operations. Data scientists and data science teams face similar challenges, which DevOps concepts can help address.
5 Tech Trends for the Enterprise in 2018
The Accenture Vision 2018 report has identified five trends for CIOs and other executives for the year ahead, including citizen AI, extended reality, and data veracity.
For IT in 2018, Think Change and Change Again
Even with the ongoing new developments in core technologies, IT organizations are facing dramatic changes in how they work in 2018 as they embrace new business concepts and strategies.
Ebates Migrates the Data Analytics Stack: SQL Server to Hadoop
Ebates, the business that provides discounts and incentives to customers of online retailers, needed to move from its SQL server to a system with more processing capacity. The Hadoop cluster it chose fit the bill and provided some unexpected benefits.
How AR/VR Analytics May Help Your Business
Alternative and virtual realities provide organizations with new opportunities to reimagine product demos, employee training and more. As the systems collect and generate data, there are opportunities to use the new streams in innovative ways.
Train Today's Workforce for Tomorrow's Tech
CEOs are investing more in advanced technologies such as AI, but they aren't planning to invest in retraining their workforces for this technology. A new report from Accenture recommends taking a different approach.
Technology Debt Crisis 2025
Consider all the code written over 50 years and all the places it's running. Add to that all the code we will write in the coming years. That is technology debt.
Careers in 2018: Tips from a Top Analytics Recruiter
Top quantitative executive recruiter Linda Burtch of Burtchworks provides insight into how to keep yourself competitive in data science, business intelligence, and other analytics-related careers. Here's how to get ready for a future of new technology, including AI, natural language processing, and IoT.
Why Businesses Must Think About Voice Interfaces, Now
Alexa's popularity among consumers serves as a wake-up call for businesses. Eventually, voice interfaces will replace keyboards, taps and swipes, but organizations must be wary of approaching voice interface design the same way they've approached web and mobile design. Before you begin, consider these points.
Your Analytics Program is Not Ready for Machine Learning
If you are like most organizations, your analytics program is not ready for advanced analytics technologies such as machine learning. Here are a few steps to take to get you closer, or a way you can leapfrog the work to reap the benefits now.
Making AI Safe for Civilized Society
There are plenty of concerns about the safety of artificial intelligence, and it's up to humans to set the standards for safe uses of the technology.
5 Keys to Asking Better Questions of Data Scientists
Some enterprises struggle to drive business value from data science efforts because the business and data scientists are not communicating or collaborating well. Here are five things you can do to improve the cross-functional relationships and ROI.