Carlie Idoine

Carlie Idoine

Sr Director 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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Tuesday, 12 May, 2020 11:00 AM|Tuesday, 12 May, 2020 11:45 AM
Top 10 Data and Analytics Technology Trends That Will Change Your Business

The expanded and strategic role of data and analytics in digital transformation is increasing the complexity of data, the number of variables to analyze and types of analysis and speed required for success. At the same time, to have an impact, data and analytics must be pervasive. This complexity is pushing the limits of current approaches and leading to unprecedented cycles of rapid innovation in data and analytics. AI is not the only thing driving rapid change in data and analytics. From the next generation of augmented analytics tools to the use of continuous intelligence to interpret streams of data from IoT or the potential of conversational interfaces, there is rapid evolution in how and where analysis can be deployed. Understanding the business impact of these changes will allow organizations to prioritize the innovations that will drive digital business.

Tuesday, 12 May, 2020 06:10 PM|Tuesday, 12 May, 2020 06:30 PM
Magic Quadrant for Data Science and Machine Learning

This magic quadrant session discuss key trends and will highlight the results of the Data Science and Machine Learning Magic Quadrant.

Wednesday, 13 May, 2020 01:30 PM|Wednesday, 13 May, 2020 02:15 PM
How to Optimize Data and Analytics Investments to Achieve Business Value … Finally

Data and analytics is becoming strategic to organizations as they digitally transform. Yet, most organizations don’t have a systematic way to assess and optimize their data and analytics (including AI) investment options. The Return Opportunity Appetite Risk (ROAR) Portfolio Optimization Model is a framework to help CDOs, CIOs and data and analytics leaders across the organization identify, prioritize and select combinations of investments in data and analytics (value streams) that optimize business impact and align to key business initiatives and strategic intent.

Thursday, 14 May, 2020 10:00 AM|Thursday, 14 May, 2020 10:30 AM
When Worlds Collide: Augmented Analytics Combines Analytics and Data Science for High Impact

This presentation describes how augmented analytics is changing the analytic process to bridge the gap between analytics and BI and DSML.
1.) Why is this considered a collision (as opposed to a convergence) and how do we recognize it?
2.) What are the implications for those that use, support and provide these tools?
3.) How should you respond to the collision in a way that launches analytics programs forward?

Hear it first at Gartner IT Symposium/Xpo®