DATE: April 11, 2019
TIME: 2 PM Eastern / 11 AM Pacific
PRICE: Free to all attendees
About the Webinar
A great comfort emerged with cloud deployment. Businesses are migrating databases to the cloud or building databases there as a result of scale challenges with the on-premises model, the cloud becoming the “center of gravity”, on-premises databases reaching capacity or emerging uses cases that are specific to the cloud. But not all organizations! And some struggle mightily with the move!
Learn about the factors that impact organizations when shifting data and applications to the cloud. What must you consider as you move significant applications and data to the cloud? This webinar will cover the major decision points that management needs to consider when moving to the cloud.
These include changes to the software model, development and quality assurance, recovery outage, and disaster recovery as well as new concerns about query performance and service levels, data interchange in the cloud, safe harbor and cross-border restrictions, and security and privacy.
We’ll also cover the new models for capacity planning and growth and staff responsibilities, the need for increased organizational change management, and how to pick targets for the journey.
- Data Curation for Artificial Intelligence Strategies
- The Impact of Machine Learning on the Enterprise Today
- Trends in Streaming Analytics and Message-oriented Middleware
- Embedded Data Science — Trends in Databases at the Edge
- Natural Language Processing Strategies
- Predictive vs. Prescriptive Analytics
- What the Aspiring or New Data Scientist Needs to Know About the Enterprise
About the Speaker
William McKnight takes corporate information and turns it into a bottom-line producing asset. He’s worked with major companies worldwide — 15 of the Global 2000 — and many others. McKnight Consulting Group focuses on delivering business value and solving business problems utilizing proven, streamlined approaches in information management. His teams have won several best practice competitions for their implementations. He has been helping companies adopt big data solutions.