Accenture Agrees to Acquire Clarity Insights, Boosting Artificial Intelligence Capabilities

Accenture has entered into an agreement to acquire Clarity Insights, a Chicago-based provider of data science and AI/ML engineering capabilities for large enterprises, and a strategic partner to clients across a range of industries, particularly healthcare, financial services and insurance.

Clarity’s “focus on insight-driven transformation for healthcare bolsters Accenture’s capabilities and is particularly critical now, when our research shows that 87% of healthcare executives surveyed report that they know how to pilot, but struggle to scale AI across their business,” said Athina Kanioura, chief analytics officer and global lead for Applied Intelligence at Accenture.

“We were drawn to Accenture, in large part, because of the synergies in how we approach clients,” said Neil Huse, president and CEO, Clarity Insights. “Fully understanding clients’ business goals and objectives is the first step to a successful AI deployment. From there our team can pull together the right data foundation, tools and accelerators that will smooth their path to adoption. With Accenture, we’ll be able to accelerate this shared vision for success and help more clients get there, more quickly.”

The Clarity acquisition builds upon the 2018 U.S. acquisitions of Knowledgent and Kogentix, and will play a pivotal role in strengthening Accenture’s analytics, AI and ML/data engineering business in North America. Global growth in AI client engagements has also served as a driver for recent Applied Intelligence acquisitions of Pragsis Bidoop in Spain and Analytics8 in Australia. In its 2019 fiscal year, Accenture invested nearly US$1.2 billion globally on 33 acquisitions to acquire critical skills and capabilities in strategic, high-growth areas of the market.

Completion of the acquisition is subject to customary closing conditions, including antitrust clearance. Financial terms of the acquisition were not disclosed.

Channel Impact^®
The acquisition is expected to add the skill sets necessary to help customers quickly realize value from their data. These additions will likely further equip clients with leading capabilities to meet the growing demand for enterprise-scale AI, analytics and automation solutions.