Data Governance in the Age of Exponential Technology
The emerging data-hungry and data-generating technologies demand two types of data governance: security, and the need for holistic, enterprise-wide governance, rather than governance on a silo-by-silo basis.
Modern Advances in Disaster Alert Technology
When lives are on the line information can make the difference between survival and tragedy. Here's a look at the technology organizations are using to communicate with the public and employees before, during, and after a disaster occurs.
10 Top Strategic Predictions for 2019
Blockchain, AI, facial recognition? Here are Gartner's top strategic predictions for 2019 and beyond, delivered during the Gartner Symposium/ITExpo.
How to Woo Data Scientists to Your Enterprise
What factors motivate data scientists and other data analytics professionals to take new jobs? A new survey looks at factors including salary, opportunities to learn, challenging work, and benefits.
Big Data in the Cloud: Avoiding Vendor Lock-in
More enterprise application and big data vendors are pursuing a cloud-agnostic strategy -- supporting AWS, Microsoft Azure, and Google Cloud. Big data platform provider Hortonworks is taking that strategy one step farther.
The Right Fit: Choosing an AI Strategy
Dun & Bradstreet is transforming its own internal AI and analytics operations, even as it helps customers with their analytics and machine learning transformations.
IBM Bets On Private Cloud Data Platform
Assembling the pieces to create a modern platform for data management, data governance, and data science can be complex. IBM says it's done the heavy lifting with a private, on-premises cloud platform to do the work.
How to Prepare for the Machine-Aided Future
More business processes and highly-specialized tasks are being targeted for automation with the goal of making people and companies more efficient. If you haven't considered how intelligent automation will affect your career and your company, and even if you have, following are some points to consider that may help you navigate the issue.
AI Challenge: Achieving Artificial Empathy
As AI is woven deeper into different types of software and business processes, the success of it, particularly from customer experience and personalization standpoints, depends on its ability to recognize emotion and act accordingly. Will machines be able to achieve artificial empathy? Have they already? Following are some of the challenges and opportunities.
4 Types of Machine Intelligence You Should Know
Cognitive computing, AI, machine learning, and deep learning are often used to describe the same thing, when they actually differ. We explain what the differences are so you can better understand how the pieces fit together.
My Algorithm is Better than Yours
New tools allow business users -- not just data scientists -- to leverage algorithms and venture into machine learning. But, handle with care because the choice of bad data means bad results.
How Valuable Is Your Company's Data?
Organizations consider data one of their most valuable assets, but exactly, how much is that data worth? Most business leaders can't answer the question yet. But venture capitalists, financial analysts and board members increasingly want to know.
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 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.
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.
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.
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.
How the Cloud Can Help Cure Cancer
The experience of Angelina Jolie highlights how cloud computing can help address cancer by cutting the cost of genomic sequencing and enabling data sharing.
IoT Enabling a Path to Better Health
IoT data from healthcare wearables and patient devices has only just begun to change the way hospitals treat patients, but advances will continue through the analytic insights they provide.