Understanding technology trends in data and analytics helps businesses prioritize investments to drive growth, efficiency, stability, and innovation in their organizations. Today, many data and analytics activities are executed in distributed services outside data centers and public cloud infrastructure. Connecting governance processes establishes virtual data and analytics governance layers across business functions. These layers increasingly reside in edge computing environments, closer to where the data and decisions of interest are created and executed.
As data governance decisions become more interconnected, redesigning decision-making is essential. Businesses can use adaptive AI systems to address data bias, diversity, and labeling. These systems, such as AutoML, can assist with automatically curating videos, images, texts, and tables. Also, using data fabric as part of your data management strategy allows for automated data integration and active metadata management.
In this talk we will focus on:
- Connected data governance
- Computing at the edge
- Adaptive AI for decision making
- Using AutoML for data curation
- Data fabrics for data integration and management