Carlie Idoine

Carlie Idoine

VP Analyst
Carlie Idoine is a Research Director for Business Analytics and Data Science for Gartner for IT Leaders. Ms. Idoine is an accomplished IT professional with more than 25 years of experience in both business analytics and data science. She provides a unique blend of business and industry knowledge, leading successful efforts to integrate new technologies into effective business solutions. Her experience includes design, implementation and communication of an enterprise analytics strategy and comprehensive analytics program, evaluating and managing the enterprise analytics and data science software portfolio, business needs analysis, analytic tool and process support, custom business analytic and data science solution analysis, design and development, training development and instruction, and application of advanced analytics to complex business problems.
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Monday, August 22, 2022 / 11:00 AM - 11:45 AM EDT
Roundtable: Getting Started with Data for Good

This roundtable is intended to share ideas and experience for launching and prioritizing "data for good" initiatives. Share ideas for getting started and lessons learned. What are the best first steps and missteps to avoid? What does a successful "data for good" initiative look like?

Monday, August 22, 2022 / 02:30 PM - 03:00 PM EDT
Top Trends in Data and Analytics for 2022

AI is not the only thing driving rapid change in data and analytics. From the next generation of augmented user experiences and beyond, composing and operationalizing data and analytics at scale, engineering decision intelligence, and relating everything, to enabling data and analytics at the edge, there is a rapid evolution in how and where analysis can be deployed. Understanding the business impact of these changes will allow organizations to resource optimize, accelerate change, drive innovation and transform society over the next three years.

Tuesday, August 23, 2022 / 11:45 AM - 12:15 PM EDT
Maximize Value by Extending to Predictive and Prescriptive Analytics

This presentation provides practical advice on how to extend from traditional descriptive and diagnostic analytics to include predictive and prescriptive approaches. The session defines how to take the next steps to leverage the analytics solutions you might already have and provides examples of real case studies that demonstrate the approach.

Tuesday, August 23, 2022 / 02:15 PM - 03:00 PM EDT
Show Floor Showdown: DSML Vendors I

This session will provide attendees an opportunity to see data science and machine learning (DSML) tools being applied in a controlled, consistent setting via a demonstration of product capabilities. Vendors will demonstrate their platform capabilities based on a guided script. This session is educational to help buyers and influencers understand the DSML process and application of each tool. Featuring Altair and MathWorks Inc..

Wednesday, August 24, 2022 / 12:00 PM - 12:30 PM EDT
A Composable and Modular Approach as Told by Real World Cases

This presentation shares case studies of those that have built and are leveraging a composable architecture. The cases provide evidence of where composable, modular approaches are being applied, gaining traction and adding value. This presentation answers the questions "why?" and "so what?" with regard to composable data and analytics and gives advice for how to get started.

Wednesday, August 24, 2022 / 03:45 PM - 05:15 PM EDT
Bake-Off: Data Science and Machine Learning

The bake-offs are fast-paced, informative sessions that let you see vendors side-by-side using scripted demos and a common data set in a controlled setting.

Join us to hear from Gartner experts and thought leaders.