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Empowering brands to translate technological prowess into market success, Amazon Web Services (AWS) has worked hand in hand with BMW Group to create a one-of-a-kind in-console cloud assistant solution to maximize product performance and efficiency, identifying operational bottlenecks as well as opportunities for improvement at all times. By offering secure encryption and open access to high-performing large language models (LLM) through Amazon Bedrock, companies now have the freedom to experiment and switch between models depending on specific use cases, all while offering a peace of mind that no data is transferred beyond the BMW Cloud Room.
Given that all foundation models (FM) come with definite strengths and weaknesses, retrieval-augmented generation is particularly useful in addressing the shortcomings of standalone LLMs. Its competitive edge shines through by merging complementary abilities of individual Titan models, but at the same time keeping cost at a minimum with no model building and infrastructure maintenance required. Moreover, companies are given the liberty to customize FMs with their proprietary data to generate a more personal, responsible and cost-effective formula unique to their brand, whereas similar services on the market do not allow any such flexibility for selection, nor have they been trained with the most recent information to account for latest events.
Furthermore, it is clear that scalability is of essence for global brands as well-known as BMW Group, making sure that original products and solutions are ready to hit the market once available. Enabling business transformation and ensuring a smooth data migration from Cloud Data Hub, AWS has processed a record-breaking volume of 14.3 billion requests and 145 terabytes of traffic in one single day, scaling technology effectively across 22.3 million of BMW vehicles to help the brand meet fierce customer demand. “Using Amazon Bedrock, we’ve been able to scale our cloud governance, reduce costs and time to market, and provide a better service for our customers,” noted Dr. Jens Kohl, Head of BMW Group’s Offboard Architecture.
More importantly, the transformation does not stop with heightened customer satisfaction, as the AI-driven question-and-answer solution developed by AWS in collaboration with Mercedes-Benz Consulting demonstrates brilliant employee back-end support, changing the game for staff productivity from the ground up to construct a more simplified and accurate interface for document searching. Using machine learning (ML) to create a proof of concept first in 2021, the team then engaged AWS to develop a system to professionalize cloud, data, and ML infrastructure in the following year in 2022.
Due to a large quantity of internal documents as well as high complexity of content nature encompassing images, videos and text, it has been a long-standing challenge for employees to obtain relevant company or project information from millions of sources within the database. Information would often be lost after the person-in-charge had left the company and new hires were left to spend extra time and effort to locate answers, creating unwanted workflow friction across the board. However, AWS managed to build a convenient digital assistant and related user applications, so confused employees could fire questions in natural language in anticipation for exact solutions, resolving issues such as ordering a company car or finding the corresponding project manager within mere seconds.
