Sriya.AI leverages patent-pending large-scale numerical models (LNM) to improve business outcomes in financial services by up to 200%.
ATLANTA, Ga., May 4, 2024 (Globe Newswire) —
(Sriya.AI CEO, Srinivas Kirambi)
The dynamic relationship between financial services and technology products has expanded significantly over the years, giving rise to an entirely new industry: FinTech. Financial services groups have long benefited from the incredible power of technology in everything from standard processing to identifying efficiency improvements, but the market for top-of-the-line artificial intelligence products is growing. Growth is redefining operations at one of the world's oldest and most popular companies. industry. Sriya.AI is an emerging leader in numbers-driven artificial intelligence solutions, helping financial groups significantly improve their internal operations while mitigating key risks associated with the industry.
Financial companies support global operations, managing the needs of everyday individuals as well as core business leaders across all industries. Managing the flow of funds, supporting the stock market, and keeping sensitive information safe requires several moving parts. That's why financial groups have long turned to technology to reduce human error while achieving critical efficiencies. Today's top financial companies have several focus areas that need improvement, including loan approval processes, reducing payment processing errors, and faster detection of fraud. With support from Sriya.AI's patent-pending AI Square algorithm, businesses can gain actionable insights into all these areas and more with 95-98% and 99% accuracy.
“By improving the outcomes of these critical processes, we can increase revenue and reduce losses while improving the customer experience,” said CEO of Sriya.AI and inventor of AI Square. said one Srinivas Kirambi. “Each of these areas can be broken down into numbers, and our algorithms can turn data from any financial company into a clear source of innovation.” Financial services companies can analyze every customer interaction and employee behavior. Collect data every time. Sriya.AI's system includes 5 U.S. provisional patents and has already revolutionized the operations of more than 25 companies, leveraging proprietary large-scale numerical models to help companies Detect fraud and accurately identify high-risk borrowers with up to 100% accuracy. .
Behind these valuable insights is Sriya.AI's agnostic machine learning tools. The tool requires 30 times less data than today's traditional models, yet has near-perfect precision and precision. AI Square leverages your company's proprietary data, allowing you to review, modify, and use it to increase value over time. Sriya.AI products not only provide analytics and insights, they also enable AI to learn from AI to provide customized insights that continue to improve over time. These developments separate large-scale numerical models (LNMs) from large-scale language models (LLMs) and focus on precision improvements to learn, grow, and optimize business outcomes. Sriya.AI's return on investment (ROI) is even if the system detects more than 2,000 additional fraudulent transactions and the enhanced risk assessment reduces the total number of customers with late payments by more than 5,000. It will start soon.
Artificial intelligence solutions are transforming business operations around the world, but many traditional models, while innovative, are facing new challenges. Extractive AI-ML solutions have low precision and precision due to the large number of interdependent features. Generative AI lacks numerical validity and creativity and can produce generic or unreliable results (hallucinations). With 99% of business functions centered around numbers and data, the limitations of these systems are obvious. In contrast, large-scale numerical models put the numbers front and center, providing support for data sets of varying sizes, while at the same time building reliable models that provide incredible understanding of core business operations. Introduce highly creative analytical solutions. These values allow financial companies to quantify every move they make, allowing them to constantly identify new areas of innovation that support better security and a more positive customer experience. Remember, you can't improve what you can't measure. Businesses need AI with improved analytical accuracy. Sriya.AI's LNM is built to support this functionality while delivering an ROC area under the curve (AUC) of 0.98 to 1 across all test cases.
Interpretations based on patterns in data can result in profits or losses for financial services groups, depending on their accuracy. If a lender approves a loan to someone based on an inaccurate risk assessment, a lot of money can be lost. Processing errors that lead to adjustments cost the business, not the customer. Fraud can be costly, degrade the experience of your valued customers, and have lasting effects. After all, mitigating risk in these selected areas is key to staying competitive in a rapidly changing financial industry. From improving customer retention to empowering informed decision-making, artificial intelligence can support financial groups from day one. Sriya.AI shows that these changes are possible and achievable with the right approach to AI solutions.
Company name: Sriya.ai
Contact: Surimbas Kirambi
Website: https://sriya.ai
Email: sk@sriyaai.com
