How we work
PAV Research pursues an open and integrated “AI-PAVSF” approach to 
enterprise operations. Our cross-disciplinary research teams rethink enterprise architecture and transform business processes by combining AI algorithms, distributed systems, human computer interaction, and software engineering. We apply AI-PAVSF methodologies to accelerate the development of AI solutions from data acquisition, through model generation, to application delivery and continuous update. These include automated machine learning, continuous learning, flexible and dynamic composition, semi-automated model generation, visual analytics, human-AI interaction, and novel quality metrics.
The successful adoption of AI relies on the trust of end users, which means AI systems must be safe and adhere to ethical norms. We focus on delivering tools and techniques to identify and mitigate risks and violations, to help understand trust-related implications forand challenges of AI models, and to assist developers and data scientists in easily building trusted, safe, and explainable AI systems.
To let data scientists focus on models and data, we are partnering with independent scienties, research universities and other organizations to create an AI platform that handles computation speed, scale, hardware selection, and placement. Advances in deep learning as a service, novel programming languages and programming models for AI, and elastic resilient deep learning at scale are examples of AI-optimized programming models and runtimes.
Our practitioners work collaboratively within integrated, cross-functional teams to deliver business, digital, and analytics transformation, all enabled through cloud.
Teamwork is crucial as teams are composed of a diverse group of specialists across multiple disciplines from our consulting, advisory, and tax practices, our alliance partners, and our clients, helping drive towards a successful outcome. Our practitioners are expected to own and deliver their respective deliverables while managing different clients and other stakeholders.