|
Over the past year, enterprise digital transformation efforts have accelerated dramatically with a substantial focus on not only how data is managed and stored, but how data is leveraged to deliver business insights. DataOps continues to gain a foothold at organizations hungry for speed, agility, and innovation. The adoption of machine learning and complementary technologies, such as knowledge graphs, is on the rise. There is an increasing emphasis on edge data and analytics in concert with IoT initiatives. All the while, the deployment of cloud platforms and services is ever expanding.
As we look towards 2022, DBTA is gathering the leading experts for a special roundtable webinar on November 11th to dive into the top trends in data science and engineering you need to keep on your radar for next year. Reserve your seat today!
Register now to attend the webinar Top Trends in Data Science and Engineering for 2022.
Don't miss this live event on Thursday, November 11th, 11:00 AM PT / 2:00 PM ET.
| SPEAKERS |
 |
|
 |
|
 |
MODERATOR |
 |
 |
 |
 |
 |
 |
Jay Yu
Vice President of Product & Innovation
TigerGraph |
Anais Dotis-Georgiou
Developer Advocate
InfluxData |
Nicolas Kruchten
VP Product
Plotly |
Stephen Faig
Research Director
Unisphere Research and DBTA |
|