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:

  • Record Data Center Growth: Data Center revenue surged 427% Y/Y to $22.6B, driven by continued strong demand for the NVIDIA Hopper GPU computing platform. This growth was seen across all customer types, including large CSPs, Enterprise, Consumer Internet, Sovereign AI, Automotive, and Healthcare.
  • Sovereign AI Growth: The company highlighted the emergence of a significant opportunity in Sovereign AI, with revenue expected to reach high single-digit billions in FY 2025 from almost nothing last year.
  • Continued Gaming Strength: Gaming revenue grew 18% Y/Y to $2.6B. While Q/Q growth was lower due to seasonality, Nvidia reported healthy end demand and channel inventory.
  • Generative AI Impact: Nvidia's GPUs are proving to be crucial for running generative AI applications on both PCs and data centers. Game developers are increasingly embracing NVIDIA ACE for creating life-like avatars, and Nvidia is seeing significant adoption of its Hopper platform for training and inferencing LLMs, recommendation engines, and generative AI.
  • New Products and Platforms: Nvidia announced several key new products and platforms, including:
  • Blackwell: A new GPU designed for real-time generative AI on trillion-parameter models.
  • Quantum-X800 InfiniBand and Spectrum-X800 Ethernet: High-performance networking platforms for massive-scale AI.
  • NIM Inference and CUDA-X Microservices: Cloud-native services designed to accelerate AI application development and deployment.
  • DRIVE Thor: The next generation of Nvidia's automotive platform, slated for production vehicles in 2025.
  • Project GROOT: A foundation model for robotics designed to enable robots to understand natural language and emulate human movements.
  • Jetson Thor: A robotics computer based on Blackwell.

Full Year FY 2025 Outlook:

  • Strong Revenue Growth: Nvidia expects full year revenue growth in the mid-70% range, driven by strong performance across all market platforms.
  • Continued Data Center Dominance: The Data Center segment is expected to remain a key growth driver, with the company predicting the largest vertical within the segment to be automotive.
  • Generative AI Expansion: Nvidia is well-positioned to benefit from the rapid adoption of generative AI across various industries.
  • New Products and Platforms: The company's new products and platforms, such as Blackwell, DRIVE Thor, and Project GROOT, are expected to contribute significantly to its future growth.

Next Growth Drivers:

  • Generative AI: The market for generative AI is expected to explode in the coming years, and Nvidia is uniquely positioned to capture a large portion of this growth.
  • Sovereign AI: Nvidia is seeing strong growth in the market for Sovereign AI, which is focused on national security and critical infrastructure applications.
  • Autonomous Vehicles: Nvidia's DRIVE platform is already a leader in the autonomous vehicle market, and the company is positioned for significant growth as more vehicles are equipped with advanced driver-assistance systems and autonomous capabilities.
  • High-Performance Computing: Nvidia's GPUs are essential for high-performance computing, and the company is well-positioned to benefit from the growing demand for these systems in areas such as scientific research, financial modeling, and data analytics.
  • Metaverse: Nvidia's Omniverse platform is a key enabler for the metaverse. As the metaverse develops, Nvidia is expected to see increasing demand for its GPUs and software.

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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