Your data is out there. There’s no way around it. Unless you don’t use the Internet and make purchases exclusively in cash, companies have information
You’ve finally gotten your enterprise’s machine learning and artificial intelligence into production and your top executives are expecting results. Just one question: Do you have
The work of data science teams can be intertwined with cloud and other tech assets, which can make them part of budgetary questions raised about
Maybe you can relate to this. My dog senses when I’m dealing with a poorly designed chatbot or automated phone system. Even before the four-letter
RPA is a fast-growing category of software, driven by global enterprise digital transformation efforts. Is it ready for prime time? This guide covers the benefits,
Business intelligence will move beyond dashboards, and AI and machine learning will become easier for less skilled workers as augmented analytics are embedded into platforms.
Business groups inside organizations express their disappointment with IT in terms of data and analytics in a new survey that looks at priorities and areas
IBM is leveraging Kubernetes to enable its Watson AI to run on public clouds AWS, Google, and Microsoft Azure. The move signals a shift in
You’ll get more value out of your data projects and programs in 2019, according to five predictions from Forrester Research. The year 2018 is almost
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
From Alpha Go to cancer detection to data center efficiency, we talk to analytics practitioner and SAS CTO Oliver Schabenberger about what AI can do
Putting all your eggs in one cloud basket is risky, because clouds are not immune to denials of se Field workers often create Excel spreadsheets
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