Shaping tomorrow’s business landscape with GenAI

Impetus Technologies’ and LLM landscape: Elevating business adoption

Impetus Technologies has undertaken significant initiatives to help enterprises navigate the dynamic world of Large Language Models (LLMs), guiding them through the maze of possibilities. While LLMs are about understanding and generating content to revolutionize business processes, there are many areas in enterprises where Impetus can help build capabilities to increase overall maturity level and readiness for GenAI. As part of this initiative, Impetus has articulated the following five pillars to harmonize data, infrastructure, people, processes, and technologies comprehensively:

• Creating a GenAI strategy and architecture
• Establishing a GenAI foundation
• Creating a GenAI strategy and architecture
• Contextualizing and enriching GenAI
• Scaling GenAI

This blog will highlight how LLMs can effectively drive business value in the enterprise through transformative use cases. This is especially important when choosing the right use case to yield the best Return on Investment (ROI), leading to revenue growth or lowered costs. Such use cases demonstrate how data can be used effectively with algorithms to simplify complex processes, thereby accelerating the time to market.

The goal is also to enhance the overall GenAI readiness so enterprises can quickly scale and operationalize use cases and not be limited to only an experimental phase. This allows the enterprise and various teams to access the deployed models and utilize them for their solutions, creating a virtuous cycle of growth leading to value creation and innovation.

Some examples of areas where Impetus has focused energies include:

• Text mining and NLP, with use cases covering areas like question-answering, translation, and summarization.
• Computer vision, where use cases of interest have spanned image to image, image generation, facial recognition, and activity tracking in videos.
• Audio, where use-cases have spanned text-to-speech, speech recognition, audio-to-audio, and emotion detection.
• Multimodal, where use cases include text to image, image to text, and text to video.

Given the complexity of these use cases, we have explored many LLMs for use cases in these areas and have utilized various options to help choose the right LLM. Additionally, fine-tuning offers another way to make these models domain-specific, enabling their use in business decision-making.

Here are some examples of how Impetus is leading the exploration of LLMs for enterprise applications:

Computer vision: Enhancing efficiency through visual intelligence

Use case: Automated traffic monitoring

In computer vision, automated road lane detection using image segmentation minimizes manual efforts, achieving a staggering ~91% accuracy. Traffic monitoring becomes a breeze, reducing wait times and elevating overall operational efficiency.

The solution, developed as part of an initiative for an intelligent city customer, involves developing models from camera-collected images to detect lanes and disruptions in traffic flow due to accidents and other situations. Such solutions can be easily extended to similar challenges in different domains, such as manufacturing, where raw materials and finished parts may move along conveyer belts, machine tools, and operator activities are monitored via cameras in warehouses and distribution centers as part of supply chain networks where multiple components have to be identified, counted and tracked, as well as in healthcare settings where various medical equipment movement and their performance has to be monitored. Such scenarios are numerous, but the underlying approach and solution frameworks share significant similarities. Impetus expertise in this domain speaks to the depth of capabilities in enabling our customers to quickly derive insights from large volumes of image and video data.

Multimodal: Automating compliance for seamless operations

Use case: Multimodal OCR solutions

Impetus has enabled customers to streamline their operations, as seen in the automation of COVID-19 vaccine card verification for an airline. Similarly, Impetus has helped customers in financial services, healthcare, and various other sectors build and deploy solutions to extract information from complex documents and images and use them to automate business processes. Implementation of such Intelligent Process Automation solutions makes it possible to extract text and image context with a high level of accuracy and allows enhanced search on the generated metadata as well, leading to multiple benefits. For example, in the case of airlines, this solution can help minimize gate delays and mitigate security risks by ensuring only those passengers with accurate travel documents are permitted to board. Thus, compliance becomes a seamless part of operations, providing a smooth passenger experience.

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