Speaker Bio

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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Wednesday, 14 September, 2022 / 11:20 AM - 11:50 AM JST
The Future of Data Science and Machine Learning: Critical Trends You Can't Ignore

This presentation will describe the current trends influencing the machine learning and data science landscape: including augmented analytics, MLOps, managing and governing data science corporate initiatives, and which platforms to choose. We discuss high-level some of the myths, and complexities and how enterprises can become more effective.

Thursday, 15 September, 2022 / 12:55 PM - 01:25 PM JST
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.

Friday, 16 September, 2022 / 04:05 PM - 04:35 PM JST
Use Composable Data and Analytics to Build Modular Business-Oriented Analytics Experiences

Analytics capabilities become modular with low- and no-code capability introduced into solutions enabled by data fabric. Organizations can compose the building blocks to build tailored analytics experiences rather than monolithic applications. This session will help data and analytics leaders use composable data and analytics to bridge with application development, bringing insights into actions.

Join us to hear from Gartner experts and thought leaders.