Systematically infusing new and existing applications with AI capabilities, making them smarter, autonomous, valuable, with a positive impact on society and the environment
AI sometimes appears to be the domain of mad data scientists and highly specialized, secretly initiated experts. But actually – through simple APIs and webservices – every application can benefit from touches of “smart,” without any black magic involved. AI disrupts every industry with intelligent platforms and solutions. Surf the applications portfolio to find the application moments that would profit the most from added AI capabilities such as image recognition, natural language understanding, automated decisions, predictive analytics, and recommendations. Use benefits logic to prioritize the cases and leverage a catalog of ready-to implement AI services. Application users will love all that extra intelligence.
Pierre-Adrien Hanania Expert in Residence
- Many AI and cognitive capabilities can be easily accessed through web services and APIs, including image and voice recognition, intelligent automation, natural language processing, conversational systems (bots), plus predictive and prescriptive analytics.
- Often, these capabilities come with pre-trained models, eradicating the need to acquire training data and build algorithmic models.
- Applications become “smarter” and “ultra-speedy,” creating more value for users with enhanced performance and speed.
- To effectively incorporate AI, new and existing applications portfolios need to be systematically reviewed to find added value opportunities while considering benefits.
- Metrics-based portfolio management tools such as eAPM can enable creating this “Apps AI” shortlist.
- The Institute for Medical Microbiology, Immunology and Parasitology at the University of Bonn developed a solution to better combat river blindness caused by parasitic worms, together with Capgemini and the Drugs for Neglected Diseases Initiative in Geneva. With the help of AI, sections of worm nodes in tissue are identified by machine, enabling drug tests to be standardized and significantly accelerated.
- Capgemini’s own solution, Project FARM 2.0 is an intelligent data platform aiming to resolve global food shortages and help local farmers with predictive, diagnostic, and advisory functions. Microsoft’s Anomaly Detector embeds anomaly detection into apps, to quickly identify potential problems, select the best-fitting detection model and ensure accuracy.
- Google’s Cloud Vision Product Search can be added to any commercial website, allowing users to upload an image of what products they want it to match in their catalog.
- Capgemini’s Digicare platform for medical staff features a patient interface and core functionalities such as a real-time monitoring of the patient situation, a therapeutical education, and recommendation engines for the medical staff.
- Capgemini developed an intelligent data solution for marine biologist Lisa Steiner. The model is designed to accurately identify sperm whales using AI.
- Extend the lifespan of existing applications by adding “smart” functionality.
- Increase the adaptability of applications and automate manual activities that originally required cognitive, “human” capabilities.
- Equip developers with a toolset to build powerful cognitive capabilities, without the need for a deep background in data science and analytics.
- Create a more compelling, personalized user experience in both business and consumer-oriented applications and mobile apps.