Manulife Collaborates with indico data solutions on Deep Learning Technology

The LOFT will use indico’s platform to develop an artificial intelligence and Deep Learning tool to analyze unstructured financial data for decision support.

(Manulife LOFT branch in Singapore. Image credit: Assure Safety.)

Manulife (Toronto) reports that its Lab of Forward Thinking (LOFT), is collaborating with indico data solutions, a Boston-based company that specializes in Deep Learning. The insurer describes the collaboration as part of a strategic effort to leverage best-in-class products and accelerate business adoption of innovative technologies such as Artificial Intelligence (AI), blockchain and virtual reality. Deep Learning is a branch of machine learning based on a set of algorithms that attempt to model high-level abstractions in data by using a deep graph with multiple processing layers.

Slater Victoroff, CEO, indico.

Slater Victoroff, CEO, indico.

The LOFT will use indico’s platform to develop an artificial intelligence (AI) and Deep Learning tool to analyze unstructured financial data. Using Deep Learning, Manulife asserts that it will be able to analyze data from news articles, analyst reports and other similar sources and present recommendations that could help investment researchers and portfolio managers make more informed decisions faster than ever before.

Lowering the Barriers Around Deep Learning

“Deep Learning, while proven in the realms of the Facebook’s and Google’s of the world, is just starting to come into its own as an enterprise capability,” comments Slater Victoroff, indico CEO and co-founder. “We have spent the past few years building a platform that significantly lowers the barriers of use around Deep Learning and this opens up tremendous potential around unstructured data analytics. John Hancock and Manulife are on the leading edge looking to more fully utilize their unstructured data assets to better serve their various constituents.”

Greg Framke, EVP, CIO, Manulife.

Greg Framke, EVP, CIO, Manulife.

Manulife’s reports that the LOFT is using indico’s Deep Learning platform to decipher natural language and more efficiently train the computer to extract insights that can be tailored to each analyst’s individual requirements. Manulife, and under its John Hancock brand in the United States, has established a global network of LOFTs in Boston, Toronto and Singapore.

“indico will help us accelerate our use of Deep Learning to improve the decision-making capabilities of our analysts, portfolio managers and researchers,” comments Greg Framke, Executive Vice President and Chief Information Officer, Manulife. “By introducing new capabilities that we know will add to our user experience and overall impact we will improve the customer experience.”

The announcement follows on Manulife LOFT’s recent collaboration with Nervana Systems to build the next generation of intelligent applications.

Compelling Opportunities

“Though it’s early, we are now starting to see some compelling opportunities revolving around deep learning powered applications that can help knowledge workers become much more efficient,” said Vishal Daga, Chief Customer Officer, indico.  “We are continuing to invest in our product capabilities to make it easier for our customers to deploy our product in this vein especially in the context of the financial services industry.  We are thrilled about the innovative work that the Manulife team has been doing and look forward to continuing our partnership with them.”

Manulife describes the LOFT, which it shares with its subsidiary John Hancock’s, as exploring emerging technologies, new business processes and consumer needs to deliver innovative solutions. “Through LOFT labs in Boston, Singapore and Toronto, teams discover, incubate and accelerate new technologies, products, services and processes,” a Manulife statement says.

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Anthony R. O’Donnell // Anthony O'Donnell is Executive Editor of Insurance Innovation Reporter. For nearly two decades, he has been an observer and commentator on the use of information technology in the insurance industry, following industry trends and writing about the use of IT across all sectors of the insurance industry. He can be reached at [email protected] or (503) 936-2803.

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