9 Data, Analytics, & AI Use Cases from Industry Leaders:
Frontier Development Lab : Identifying problem statements together
Audi: Defining business goals
Intel : Edge to data center ingest challenges ; Moving from Bad Data and Data Silos to User Empowerment
Siemens Healthineers: Evaluate the current state ; Get started on advanced analytics and AI now
DeepSights: Planning for data growth with edge to core strategy
Preferred Networks : Establishing data frameworks
LA Dodgers : Data lineage in the data flow
DC Water : Unifying and reconciling data
ClimaCell : Examples of AI in action
New leading businesses are data, analytics, and AI driven organizations. Business leaders and organizations already understand that they must start using data, analytics, and AI to improve decision making, performance, accelerate business goals, and succeed. But only 14% actually feel like they’re ready for this step according to recent research.
Transforming your organization is difficult.
And it comes down to: how can I make that organizational change and gain real outcomes and measurable impact from my advanced analytics and AI initiatives?
You need to know the strategies, sequence of steps, pitfalls, and successful real-world cases in order to define and prepare the right strategy for your organization. You can either find it out yourself, or you can learn from the practitioners who have done it before and achieved success.
We have created a unique, practical course in partnership with leading innovative companies like Intel, Audi, Frontier Development Lab, Siemens Healthineers, DeepSight, the L.A. Dodgers, and many more, who overcome their own data, analytics, and AI challenges in order to gain new levels of success along their AI journey, or further advance an existing one.
You’ll see and hear from 9 top domain experts who share their personal experience with you, provide in-depth advice and tips, and stories about what works and what doesn’t when it comes to adopting analytics and AI into your company.
Normally this on-demand course is $2,000, but a sponsor has stepped in to provide a limited number of free courses.
This convenient course is designed with your time in mind; learn at your own speed in an easy to interact with on-demand format that is tailored to work on any device.
4h 30m total length
Evaluate the current state | 00:20:06 | |
Defining Business Goals | 00:21:30 | |
Identifying problem statements together | 00:27:34 |
Planning for data growth with edge to core strategy | 00:21:09 | |
Edge to Data Center ingest challenges | 00:23:50 | |
Moving from Bad Data and Data Silos to User Empowerment | 00:26:45 | |
Data lineage in the data flow | 00:16:00 | |
Establishing Data Frameworks | 00:16:34 | |
Unifying and Reconciling Data | 00:17:33 | |
Enabling Analytics and AI Services | 00:34:42 |
Get started on advanced analytics | 00:18:59 | |
Examples of AI in action | 00:36:29 |
Implement Insights and Continually improve | 00:20:23 | |
Bringing it all Together and Capturing New Opportunities | 00:12:57 |