Big data for guide dogs. IBM helps train service dogs
I love the idea of big data. Being able to derive insights from the ever-increasing stream of information out there is an awesome promise. But
I love the idea of big data. Being able to derive insights from the ever-increasing stream of information out there is an awesome promise. But
The numbers are depressing. An estimated 700 million data records were stolen in 2015. But despite the billions spent on computer security, flaws that allow
Millennials know exactly what they want and expectations are high – very high. They are empowered Regardless of how much data your company has —
WHEN you’re driving a car, you spend most of your time looking out the windshield. What’s ahead? When to turn? Any unexpected obstacles in your
Millennials know exactly what they want and expectations are high – very high. They are empowered Businesses see AI as a future investment, even though
Our technologies are far from pristine constructions. Frankly, they’re a mess. Our software evolves over years, or even decades, with bits and pieces being added
Every minute of every day, mind-blowing amounts of data are generated. Twitter users send 347,222 tweets, YouTube users upload 300 hours of video, and Google
This “classic” (but very topical and certainly relevant) post discusses issues that Big Data can face when it forgets, or ignores, applied statistics. As great
Leadership-capacity constraints are undermining many companies’ efforts. New management structures, roles, and divisions of labor can all be part of the solution. Over the past
As organizations look to stay competitive by expanding their use of real-time analytics, implementation becomes a challenge. Finding options to effectively serve your company over
As a Data Analytics Consultant with experience in multiple industries including Telecommunications, Health Care and Retail, I have come to learn that effective … “Progress
Summary: Â Will Automated Predictive Analytics be a boon to professional data scientists or a dangerous diversion allowing well-meaning, motivated but amateur users try to implement