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.
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.
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.
11 Best-Paying Cloud Skills
In a recent survey, IT managers said that they were willing to pay more for employees with these hard-to-find cloud skills.
Implementing DevOps: Mind the Details
When it comes to DevOps success or failure, little things count the most. Start small, make sure everyone's really in, and count - and celebrate - the team's successes.
7 Fastest-Growing Tech Job Skills
Which terms do IT employers and job seekers search for most often? There are some significant disconnects between what IT pros offer and what employers want.
Enterprises Cautiously Migrate Toward IaaS
On-premises, infrastructure-as-a-service will coexist for quite a while with large organizations moving more workloads to the public cloud, yet operating their own data centers for years to come.
How to Maintain the Spirit of Open Source
As the popularity of open source grows, it's important to remember that with growth comes complexity and that being involved in open source comes with the mindset that collaboration makes the world a better place.
Is Your Company Smart Enough to Succeed?
Determining if your organization is an intelligent enterprise or a slow learner may be challenging, but a new index quantifies criteria in terms of data usage, workflow efficiency, and progress toward the IoT.
Data Science and the Don’ts
Big data analytics promise tremendous benefits for organizations, but there are a few gotchas that stand in the path to success.
Competing on Analytics: 2017
Analytics thought leader Tom Davenport revisits Competing on Analytics, 10 years after his book on the topic was originally published. We ask him what has changed in that time during this interview.
QVC: Real-Time Data is the Future of ECommerce
In its 31-year history, home shopping TV channel QVC has always faced the limitations of time -- just 168 hours a week to sell its products. Here's how real-time data feeds have changed the company's marketing efforts.
Carlsberg Danmark Fixes Field Data Operations with BPM
Field workers often create Excel spreadsheets to track data and run their processes. But what happens when there are dozens of these? Here's how Carlsberg Danmark centralized business process management, created an orderly system with consistent data, and saved hundreds of hours in backoffice time.
10 Influential AI and Machine Learning Experts to Follow on Twitter
AI, machine learning, natural language processing, and other advanced analytics technologies make up the leading-edge of how organizations are gaining value from big data. Here's a collection of some of the most influential and rising stars on Twitter when it comes to AI and machine learning.