Through leading-edge AI techniques, Accenture Labs R&D discovers new ways to solve business’ biggest challenges.
We focus on cooperative intelligence: how to design AI systems that will work cooperatively with people and apply human knowledge at scale, including knowledge-driven ML, explainable AI, conversational AI and intelligent privacy.
We helped an insurer develop an AI-driven system to automatically extract information from first notification of loss forms, a complex task requiring intelligent “understanding” of each form.
In our Dublin office, Accenture Labs professionals used clustering and an “embedded knowledge graph” to develop an AI model capable of recommending a personalized training plan for any employee.
Labs AI solutions are helping clients keep pace with new regulations; for example, by automatically extracting “actionable obligations” and by creating a “regulatory radar” to monitor news sources.
We’re exploring how computer vision technologies can help ensure quality control at speed and scale. Working with Faurecia, a leading automotive supplier, we’ve created a system that uses deep learning to detect missing accessories and the extent of wrinkles on newly assembled car seats to determine whether rework is required.
Explainable AI won’t replace human workers; rather, it will complement and support people, so they can make better, faster, more accurate decisions.
Explanation is fundamental to human reasoning, guiding our actions, influencing our interactions with others and driving efforts to expand our knowledge. AI promises to help us identify dangerous industrial sites, warn us of impending machine failures, recommend medical treatments, and take countless other decisions.
The promise of these systems won't be realized unless we understand, trust and act on the recommendations they make. To make this possible, high-quality explanations are essential.
See the big picture: modelling the world by connecting data and intelligence.
Creation of robust, secure AI must be a top priority for all organizations; otherwise, AI models can and will be exploited.
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Learn how we are developing ways to de-risk the use of AI for our clients and to defend AI from adversarial attacks.
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