While companies may share common ground when it comes to their data quality problems, data quality tools and strategies are not one-size-fits-all solutions to the problem. Each company should approach data quality management through its unique lens. The June 2022 Great Expectations Study surveyed 500 data engineers, analysts and scientists,
Most brands face a slippery slope when it comes to their engines of content creation. We live in a day and age when the term “content marketing” stumbles out of a brand’s mouth almost as often as buzzwords like “big data” and “native advertising.” Woe the brand that is not
Companies across all industries are putting personalization at the center of their enterprise strategies. For example, Home Depot, JPMorgan Chase, Starbucks, and Nike have publicly announced that personalized and seamless omnichannel experiences are at the core of their corporate strategy. We are now at the point where competitive advantage will
This blog is a continuation of the Building AI Leadership Brain Trust Blog Series which targets board directors and CEO’s to accelerate their duty of care to develop stronger skills and competencies in AI in order to ensure their AI programs achieve sustaining results. In this blog series, I have
Evans Data Corporation’s latest study of AI and machine learning development provides insights into the challenges developers face when building enterprise-level, high-quality AI apps. The study, Artificial Intelligence and Machine Learning 2019, Volume 2 is based on interviews with 500 AI and machine learning developers globally.