Jessie Hobb 7582 posts 0 comments

Enterprise data science teams are having trouble hiring data scientists and machine learning engineers fast enough. But there is no need to wait until your team is fully staffed to start generating value from your AI. It’s just a question of bringing together automation and better tooling so that even small data science teams can have an outsized impact. Image: Prostock-studio/Adobe Stock In engaging with chief data and analytics officers, one of the most common themes I hear is the difficulty in…

Artificial intelligence has a mixed record of success and failure in business processes. What should you do for successful AI implementation? Image: zenzen/Adobe Stock On the very first business process design project, my team was told to redesign an internal invoice process in accounts receivable. Problems involved duplicate systems and duplicate BPs that prolonged invoice processing for days. Working hand in hand with finance, we reviewed each step of the process, identifying duplicates in data and…