Listen now as this amazing panel discusses practical AI use cases that are providing a measurable, tangible and valuable business impact, how to get started and what the beginning stages of AI implementation might look like.
Experience has shown that success with machine learning is not just about the technology alone. In order for AI/ML to be fully maximized, institutions need leadership buy-in, as well as the sharing of information and data between disparate business units and departments.
With data changing and growing so rapidly, the need to get value out of your data is even more urgent. Here's some advice about how to approach data lakes.
To find out more about how InterVision's machine learning and predictive analytics helped Lattice identify their customers, we reached out to the Senior Director of Corporate Marketing at Lattice for an interview.
By turning such complex data into simplified visualizations and actionable insights, The Shop was able better understand the "why" and "how" behind the way pilot users interacted with their product, and what they could do to improve the experience.
InterVision's analysis revealed that "parking" was one of the most mentioned issues in the survey comments. These insights have allowed the baseball team to proactively prepare for next year's season. The River Cats' renewal rate in 2018 was 9% higher than in 2017, and the team attributes some of that improvement to understanding the fans a little better.
At our headquarters in St. Louis, InterVision recently hosted a "Cloud Tech Day" for regional IT leaders and shared how to effectively communicate cloud strategies to executive leadership, within your IT team, and to other business units.
With data changing and growing so rapidly, the need to get value out of your data is even more urgent. Here's some advice about how to approach data lakes.
Ananth Gopalakrishnan and Harsha Gopianandan, Co-Founders of SeyVu and authorities in the field of AI and ML sit down with Jeff Ton to dive a little deeper into demystifying AI: what constitutes true AI, how AI is changing business models, detecting AI washing and much, much more.
CDT chose InterVision to be their technology partner in this endeavor and we developed an AWS infrastructure solution to meet their needs. We also architected an AWS multi-account strategy with multiple environments to meet security best practices. By utilizing the AWS cloud, CDT now has a highly scalable and highly available Splunk implementation for data collection, analysis, and security monitoring of critical infrastructure. As CDT expands and extends Splunk to monitor even more devices and environments, the AWS infrastructure will be able to scale and extend accordingly.
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