1. Avoid Automation Failure: Invest in Your Workforce
    With a wave of intelligent automation on the horizon, now is the time for enterprises to invest in the talent they need to build a workforce for the future.
  2. 5 Machine Learning Resolutions for 2019
    More organizations are using machine learning for competitive reasons, but their results are mixed. It turns out there are better -- and worse -- ways of approaching it. If you want to improve the outcome of your efforts in 2019, consider these points.
  3. Top 5 Principles in Becoming 'Agile' During Digital Transformation
    Organizations embarking on a digital transformation utilizing Agile concepts should give close consideration to these principles and the accompanying Do's and Don'ts.
  4. The New Job Description for Data Scientists
    As new tools help to automate data collection and cleaning, the role of data scientists is evolving into one where they deliver more value to their organizations.
  5. Top 10 Tech Predictions for 2019
    How will trends like cloud computing, AI, IoT and robotics shape enterprise IT in the coming year?