We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Artificial intelligence (AI) is making a big splash in enterprise applications across the board, but most of the attention has gone to public-facing functions like chatbots and personal or professional assistants. But this masks the fact that much of the real action is taking place behind the scenes, in the myriad back office processes that contribute to the costs and complexities of running a modern organization. AI is not like previous generations of technology, however, which were targeted at specific operations and crafted to operate in a predefined manner. Instead, the challenge for the enterprise is to create the kind of training and development processes that allow AI to place traditionally manual processes under fully automated control – essentially assuming the day-to-day work of running the office while the labor force focuses on continued optimization and strategic development.

Eric is responsible for the development of strategic products, services and solutions. He joined Esker in 2002 as Director of Marketing Communications, and in 2005, extended his responsibilities to include product management. Many businesses have yet to understand the full potential of machine learning and cognitive computing for back office processes. The benefits range far beyond simply increased productivity and faster supply chains. Today's advanced algorithms have the computational power and speed to gather, analyze and manage vast repositories of data.

Eric is responsible for the development of strategic products, services and solutions. He joined Esker in 2002 as Director of Marketing Communications, and in 2005, extended his responsibilities to include product management. Many businesses have yet to understand the full potential of machine learning and cognitive computing for back office processes. The benefits range far beyond simply increased productivity and faster supply chains. Today's advanced algorithms have the computational power and speed to gather, analyze and manage vast repositories of data.

Eric is responsible for the development of strategic products, services and solutions. He joined Esker in 2002 as Director of Marketing Communications, and in 2005, extended his responsibilities to include product management. Many businesses have yet to understand the full potential of machine learning and cognitive computing for back office processes. The benefits range far beyond simply increased productivity and faster supply chains. Today's advanced algorithms have the computational power and speed to gather, analyze and manage vast repositories of data.