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.
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.
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.
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.
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.
The company needed flexible, short-term compute resources to support intensive training for a global network of installation partners. By working with InterVision to access resources hosted in the public cloud and by using its own private cloud resources, the client succeeded in cutting capital expenses, reducing operational costs, increasing productivity and enhancing competitive advantage.
An application delivery networking vendor had an increased desire to accelerate deployment lifecycles and deliver more features quickly to their community site, which required the company’s development team to quickly improve the site’s manageability, scalability and lifecycle management.
VCCCD selected InterVision to migrate its Banner 9 environment to AWS because of our extensive cloud services experience and validation in the education space.
CalHFA selected InterVision to design, architect and implement an efficient and effective AWS cloud architecture and strategy.