Capgemini is extending its Gen AI portfolio of services with the launch of engineering and R&D-specific Generative AI (Gen AI) infused solutions for clients to accelerate innovation, streamline engineering and R&D processes with high-level automation, and the ability to unlock new discoveries. As a world leader in engineering and R&D services with deep industry knowledge, and a leading player in the AI market, Capgemini is well positioned to help organizations transform their engineering and R&D processes and accelerate towards a more intelligent industry.
With “augmented engineering”, Gen AI takes data-driven engineering and R&D to the next level. The adoption of a hybrid AI approach, combining Gen AI and AI with other kinds of engineering and scientific models, enables the delivery of outcomes with the precision, quality, regulatory compliance, and correctness required in engineering and science across industries. Engineering requires the ability to capture detailed data in many forms. For example, there is a vast difference in engineering application between a photo-realistic video and the schematic diagrams of an airliner avionics system, even if both are represented graphically.
Designed to help clients reap immediate benefits from Gen AI, augment engineering processes with AI, and accelerate the creation of new smart products and services, the first set of Capgemini’s Gen AI offerings for engineering and R&D includes:
- “Augmented R&D Discovery”: to accelerate scientific discovery, streamline R&D processes, identify novel scientific approaches, and generate new formulations. It augments research teams to reduce lead time for R&D discovery with data and AI-driven research hubs, reasoning engines, and digital R&D backbones needed to automate and orchestrate R&D processes, accelerate innovation – and unlock new discoveries in formulation-based industries. Example of applications include new drugs, aircraft fuel composition, tyre properties, components substitution in food, beverage and cosmetics.
- “Augmented Software Product Engineering”: an agent-based asset framework and associated consulting and engineering services to provide a uniquely holistic approach to improving product creativity and quality, development efficiency, and developer experience. Includes software lifecycle accelerators addressing product requirements optimization, code creation, product generation, and code migration.
- “Augmented Product Support & Services”: a Gen AI-enabled assistant to streamline software product support – making life easier for both support engineers and their customers in different industries e.g. telecommunications, industrial IoT or MedTech. Gen AI significantly reduces and automates product support work such as self-service deflection, guided remediation, while also removing linguistic barriers. It enables organizations to improve digital experience.
- “Augmented Product Technical Publications”: technical publications are regulatory-required documents providing all necessary information for the effective operation, installation, maintenance, and servicing of a manufactured product and its components. Capgemini has designed a technical publications factory model, custom-built production workflow assistant to reduce data retrieval time from hours to minutes, and to shorten publication authoring time from weeks to days.
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“Gen AI has the potential to turn innovative technology into engineering value, with products and services reaching new levels of intelligence and effectiveness. Our set of new ‘Augmented Engineering’ solutions are designed to take engineering and R&D to their next level and help clients to accelerate towards more intelligent products and services,” comments Franck Greverie, Chief Technology Officer, Chief Portfolio Officer and Group Executive Board Member at Capgemini. “We are proud to be the preferred partner of industry leaders to support their ongoing transformation of engineering and R&D processes and help them drive innovation and breakthrough discoveries. Given the demanding context of engineering that requires precision, regulatory compliance and risk tolerance, we are developing tailored solutions, augmented with Gen AI, to empower researchers, streamline processes and unlock substantial creativity and high-quality outcomes.”
SOURCE: GLobeNewswire
