AI Magazine December 2023 | Page 127

MongoDB empowers developers by delivering a data plane that offers key capabilities to build generative AI applications .
MongoDB Atlas unifies operational , analytical , and vector search data services to streamline building generative AI-enriched apps . MongoDB ’ s new product , Vector Search , accelerates data modernization efforts and application development .
Build the next generation of intelligent applications
Today ’ s smart apps go beyond predictive analytics to create new experiences — from chatbots offering personalised support to AI-generated images , code , audio , and video — from natural language inputs in real time .
MongoDB ensures that these AI-powered apps are grounded in truth with the most up-to date operational data while meeting the scale , security , and performance users expect .
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Create AI-enriched customer experiences across Banking , Financial Services , and Insurance ( BFSI )
To incorporate AI into the BFSI industry , businesses must focus on de-risking migration from legacy relational databases and mainframes , protecting customer information , and enabling effortless app performance .
MongoDB solutions for Financial Services , such as core-banking , payments , openbanking , fraud prevention , lending and leasing , and ESG , offer BFSI enterprises unprecedented flexibility , security , and scalability - even for the largest of banks .
MongoDB ’ s System Integrator Partners : Enablers of the AI future
MongoDB ’ s System Integrator partners expedite the shift from legacy relation systems to Atlas , a multi-cloud developer data platform for global enterprises . By leveraging MongoDB ’ s Relational Migrator ( now generally available ), our SI partners can accelerate migrations from common relational databases to MongoDB . Our partner ecosystem delivers capabilities to solve industry problems , and establish trust with our joint customers while helping build next generation intelligent applications to give your business an unhindered AI advantage .