Retire Technical Debt and Open Up Data Science
Prolifics and IBM data science experts discuss getting your tech environment ready for modern data science projects and the use of artificial intelligence (AI). Our team covers key re-platforming considerations, diverse talent and diverse tools, and how to get started with Watson Studio Premium for IBM Cloud Pak for Data.
Migrating Away from SAS – You Can Do It!
Statistical Analytics System (SAS) is software used for data analysis. It’s the most widely used data science platform across the globe, so if your organization uses it, you’re in good company. However, SAS is a legacy environment that many organizations find problematic. As with any mature legacy system with tentacles wending their way through an organization’s operating systems, a SAS environment requires … Read More
Healthcare Data’s Migration to Azure a Roadmap for Success
Our client is a Fortune 500 health insurance provider (HIP), and one of the largest in the United States. About our Client Challenge A Common Story – Multiple Legacy Components Stall Company Growth HIP’s story is a common one. As their company grew, they’d purchase a license here or some storage space there to keep up with their growing business. … Read More
Data Science Teams Create Efficiencies for Health Insurance Provider
Data science can pull meaningful, actionable insights out of your data that can benefit your business in a big way – when it’s done correctly. Technology is obviously a major component of data science, but people and processes are equally important. If the people and processes in the “data supply chain” aren’t operating effectively, no amount of technology will give … Read More
Retire Technical Debt and Open Up Data Science for All- Webinar with IBM
This second session of a 5 part series explored the topic of replatforming your legacy tooling to be ready for modern data science and AI. To succeed in AI, in addition to implementing new capabilities, you need to retire technical debt and bring all contributors in a unified environment. Dr. Michael Gonzales, Chief Data Scientist with Prolifics, Julianna DeLua, SME … Read More
Predictive Modeling a Tool for Student Retention
If you’ve ever stepped on a bathroom scale, you’re familiar with – at the most basic level – the concept of collecting and using data to affect behavior. Based on our experiences and personal knowledge, we can make the connection between eating too much pizza and what the scale will tell us. But what happens when enterprises want to understand … Read More
Prolifics’ Analytic Platform Optimization
Before You Sign Another Server License, Read This. Prolifics’ Analytic Platform Optimization solution is unique to the industry and will show you how to better balance, and even maximize, the productivity of your existing servers. And we can guarantee it’s a lot less expensive than adding more servers. The budget alarm bells go off – loud It’s the first sign … Read More
Data Meet Digital
Digital + data + data science = vision to value, faster. That’s the message shared in this presentation hosted by DCO Canada and presented by Chief Data Scientist Michael Gonzales. The conversation starts with this quote from an article published through the Harvard Business Journal* – The worst mistake a company can make is to hire data scientists, give them … Read More
How to Inventory Your Analytic Ecosystem
By Michael Gonzales, PhD The focus of the Analytic Ecosystem Inventory (AEI) is to collect, document, and quantify the current level of analytics being executed and consumed in the organization. While other assessment instruments collect opinions from a broad range of analytic consumers, the AEI is designed to gather quantitative metrics related to employed analytic applications, the technology and data … Read More
- Page 1 of 2
- 1
- 2