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A partnership between an AI vendor and a financial educational technology company aims to help financial institutions take the guesswork out of community financial campaigns.

On August 16, CognitiveScale — an AI vendor that specializes in hyper personalization — joined forces with DeepTarget, a self-described fin-ed-tech company, to introduce a new digital experience platform (DXP). Using CognitiveScale’s Cortex AI technology, the DXP enables community financial institutions (CFIs) to predict whether consumers will purchase a financial product within a 30-day period, among other things.

CFIs — credit unions, banks and funds that serve economically distressed communities — also can use the DXP to create predictive campaigns for lending and fee-based products for CFIs.

CognitiveScale’s Cortex AI platform is aimed at data scientists, developers and business users. Developers have access to different data models and can construct different models in a low-code environment. Meanwhile, data scientists can create data sources, and business users can use the platform to create AI-based marketing campaigns by establishing the goal of the business and suggesting the best ways to accomplish that goal.

Verticalization of AI

CognitiveScale’s collaboration with DeepTarget represents the recent trend of AI vendors pursuing business arrangements with other software vendors in individual markets, said Brandon Purcell, an analyst at Forrester.

Vendors are no longer just creating generic AI products for enterprises. Instead, a verticalization of AI is underway in which AI systems are made for specific industries, Purcell said.

While CognitiveScale develops a predictive analytics system for enterprises, DeepTarget has deep expertise with CFIs. This partnership enables DeepTarget to create specific products addressing the challenges CFIs might face such as customer conversion and long-term profitability.

“A lot of the machine learning vendors are missing the piece of ‘okay, we’ve created these great AI models now what do we do with them?’ ” Purcell said. “That question can only be answered in the context of the industry you’re working in.”

Some challenges

However, partnerships like these come with challenges.

One is data, Purcell said. Since CFIs tend to have a lot of consumer data, pulling that data together can be a complex, essential step before an institution can even use CognitiveScale’s machine learning platform.

There can also be a problem of bias in the data since AI tends to use historical data, said Craig Le Clair, another analyst at Forrester.

“It’s reflecting historical data that may not be accurate,” Le Clair said.

Another challenge is making sure different departments can use the platform is a way that helps them with their clearly defined jobs. The IT and sales departments, for example, have to work together on community finance campaigns and coordinate how they are using the AI platform.

“How do we actually get salespeople who probably haven’t had access to any information like these in the past to use this to become better at their jobs?” LeClair said. “That brings up people and process types of issues that a technology vendor can’t solve for.”

Privacy can also be an issue, especially since the campaigns are hyper personalized and aimed at what a consumer may end up doing next, Le Clair said.

“A combination of what the power of what CognitiveScale can do with the kind of domain expertise around specific marketing, financial services, and all of a sudden, you might have almost too personalized recommendations that will make a human think that you’re being stalked or monitored,” he said.

In a July interview with SearchEnterpriseAI, CognitiveScale’s COO Shay Sabhikhi said Cortex AI enables different departments in an enterprise to work together to create a model and see how it’s performing. The platform takes explainability, bias and fairness into account, he added.

“Performance is really important,” Sabhikhi said. “But explainability needs to be above a certain threshold.” This enables compliance officers to trust that the AI product will have the right governance and adhere to responsible AI guidelines.

DeepTarget had responsible AI and privacy in mind when choosing CognitiveScale as a partner, CEO Preetha Pulusani said.

“Yes, we use consumer data, but we need to use it in a responsible way,” Pulusani said.

The digital experience platform will be generally available to DeepTarget’s customers in September, according to the company.

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