Applications of as²t AI in Financial Research & Analysis
Bodhint Business Research
19 September 2024 | 2 mins read
The Financial Services Industry has entered the Artificial Intelligence (AI) phase of the digital marathon, a journey that started with the advent of the internet and has taken organisations through several stages of digitalisation. The emergence of AI is disrupting the physics of the industry, weakening the bonds that have held together the components of the traditional financial institutions and opening the door to more innovations and new operating models.
Gartner, Inc. has identified five of the top artificial intelligence (AI) use cases for financial planning and analysis (FP&A) leaders to consider implementing in their functions namely; Demand / Revenue Forecasting, Anomaly and Error Detection, Decision Support, POC Revenue Forecasting and Cash Collections.
Decision Support
Our financial research user adopted as²t to predict outcomes based on current data for possible future outcomes when alternative data values, whether private or public are used. Using models with hypothetical data predicts the result of alternate decisions and preemptive strategies and actions for one of its clients when analysing corporate market competitiveness.
Nvidia had a record Q1 FY 2025 with total revenue up 262% Y/Y to $26.0B, driven primarily by the strong performance of the Data Center segment. Here's a breakdown of the key findings:
Q1 FY 2025 Highlights:
Full Year FY 2025 Outlook:
Next Growth Drivers:
Overall, Nvidia is well-positioned for continued strong growth in FY 2025 and beyond. The company's leadership in the areas of generative AI, autonomous vehicles, and high-performance computing, coupled with its ongoing innovation, gives it a significant advantage in the rapidly evolving technology landscape.
AI is an area of computer science that emphasises on the creation of intelligent machines that work and perform tasks like humans. These machines are able to teach themselves, organise and interpret information to make predictions based on this information. It has therefore become an essential part of technology in the Banking, Financial Services and Insurance (BFSI) Industry, and is changing the way products and services are offered.
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