5 Tips for a Successful Machine Learning Deployment
Corporate educator TDWI has published an eBook on five engineering requirements for machine learning
Five Phases of Big Data Projects
First, identify the data and brainstorm a use case. Then make sure everything's in place to make it
Why Is Big Data Analysis So Challenging?
There's gold to find in the big data forest, but most companies have no map and no
Big Data Trends for 2017: Hadoop Meets Machine Learning
Data and source-agnostic platforms will beat out siloed systems; Spark and machine learning continue to
Building a Smart Data Lake While Avoiding the ‘Dump’
A data lake needs to be fed and governed properly before analytics can discover kernels of
How Companies Are Turning Data Exhaust Into Cash
Opportunities abound to sell customer data related to transactions and product usage, but companies must be sure that data is
Is Marketing the Clearest ROI Path for Artificial Intelligence?
AI technologies have clear value paths in marketing, including sales and enhancing customer
Hadoop Data in the Dark? How Governance, Metadata Can Help
Data governance and metadata synchronization can prevent Hadoop data from going dark.
Five Tips When Using Streaming Analytics Software
A rock-solid business use case and data integration are pressing
Visual Data Discovery: Finding the Right Approach
Big data visualizations are now easy, but not all visuals have
