The Cloud Builds on Hard-Earned Credibility
Cloud computing has overcome some tough resistance over the years, but it has gained acceptance and proven it's value. Now IT pros have to make sure that cloud technology is applied the right way, delivering the solutions that business managers need.
Avoid These Pitfalls to Get Maximum Value from Data Science
Data science techniques are getting better, cheaper, and easier to use. Even small and medium sized organizations can now tap these technologies. But, if you fail to properly introduce, support, and integrate data science capabilities, a lot of money can be wasted.
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.
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.
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.
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.
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.