On-demand webinar
Scaling AI: Top Data & AI Trends to Watch
in 2021
By Ken Seier / 27 May 2021 / Topics: Analytics Data and AI
The ability to leverage and operationalize data is increasingly essential to growth and differentiation in today’s market. As more organizations turn to Artificial Intelligence (AI) to drive top- and bottom-line improvements, understanding the emerging techniques and technologies enabling successful adoption can provide a critical advantage.
In this Insight on-demand webinar featuring Gartner, we offer an inside look at three of the Gartner Top Trends in Data and Analytics for 2021, including:
- Smarter, scalable, more responsible AI
- Operationalizing business value with XOps
- Data and analytics at the edge
Our experts provide an in-depth analysis, examine the drivers and offer practical recommendations for navigating each trend in the coming year. They also discuss what these trends mean for emergent AI applications such as computer vision.
Presented by:
Ken Seier
National Practice Lead for Data & AI, Insight
Ken is passionate about driving analytics innovation with measurable outcomes and real business value. Ken and his team have been responsible for billions of dollars of revenue and savings through responsible analytics initiatives and innovation.
Danielle Casey
Sr. Principal Analyst, Gartner
Danielle is a Sr. Principal Analyst in Gartner's Technology and Service Provider research practice. In this role, she conducts case-based research on emerging technologies, such as artificial intelligence and virtual assistants, for Gartner's Emerging Technologies and Trends team. Through this research, Ms. Casey identifies new market issues and provides insights on emerging trends to technology provider product leaders.
Eric Goodness
Research VP, Gartner
Eric is a research VP in Gartner's Technology and Service Provider research practice. In this role, he collaborates within a global team of analysts to research the emerging technologies and trends that are changing how businesses compete and shape the future of markets, governments, and society. The focus of his research is to accelerate the pace of IT innovation and the positive outcomes recognized by business and society in the adoption of advanced technologies.
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