We specialize in artificial intelligence (AI), machine learning (ML), and insights solutions to help you transform your business at scale.
Across industries, enterprise leaders are under pressure to reinvent business processes with AI-fueled innovation. But they often struggle to identify high-ROI use cases and make informed decisions to drive adoption at scale. Our AI/ML and insights solutions are technology agnostic and designed keeping your business goals in mind. What's more, we offer governance models to ensure your data is trustworthy and free from biases.
From advisory and strategy consulting services to developing complex AI solutions, we enable full-stack AI/ML and machine learning operations (MLOps) implementation at scale. Our responsible AI framework integrates controls and governance metrics to future-proof your AI investments. And through our robust partner ecosystem, we tackle every business challenge from beginning to end, enabling the journey of data to insights to action.
Artificial intelligence (AI) and machine learning (ML) on the cloud is quickly becoming mainstream. Today's versatile, complex, and ambiguous business and economic environment demands a shift to data-driven decision-making. But this shift comes with challenges – a need for robust lineage, governance, and risk mitigation tactics.
Though the typical stages of a data science lifecycle have not changed much since the early 2000s, the ecosystem hosting their components has transformed considerably.
Today, the artificial intelligence and machine learning lifecycle's expectations are different (figure 1). Enterprises need a real-time continuous integration/continuous delivery/continuous testing (CI/CD/CT) pipeline. They are grappling with a complicated network of systems that generate more data than ever before. This is due to proliferating data sources and associated data storage and management systems, advancements in computing power, and near-real-time interconnected channels.
