Women in Computing (WIC) Webinar Series| September 22, 2023 Becoming ADEPT at Innovations with Data
Becoming ADEPT at Innovations with Data
Rapid improvements in data and technology are driving the potential for businesses to accelerate learning and growth at break-neck speeds. But as we’ve witnessed, success is only achieved when we can evolve our human actions at an equal pace. The current cultural divide between business and data teams is so wide and distrustful that few companies are reaping the benefits of data as they can. So what’s the winning formula for leveraging data using today’s technology? We can become more ADEPT with people at the center, and get decision-ready Data into the hands of people who will use it. These people will contextualize insights and take actions of value, but they need help to accomplish it. Let’s bridge the divide together with an ADEPT culture of continuous innovation and honest feedback.
Date and Time
Location
Hosts
Registration
- Date: 22 Sep 2023
- Time: 03:00 PM UTC to 03:45 PM UTC
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Soheyla Amirian, PhD
- Co-sponsored by University of Georgia
- Starts 30 August 2023 12:53 PM UTC
- Ends 22 September 2023 03:00 PM UTC
- No Admission Charge
Speakers
Beth Bauer
Speaker
CEO of PosiROI
Biography:
Innovating with big data for 30+ years, Beth Bauer’s holistic approach to problem-solving has delighted 26 Fortune 300 companies, returning them collectively $billions. As CEO of PosiROI, Beth shares those valuable lessons to help maximize returns via the strategic use of data in the hands of people of action. Beth’s led large teams as a pharma executive and consultant, as well as worked in the trenches. Her experiences span the data lifecycle: business consulting and innovations, stats and coding, to contracting, privacy, and governance. From the intersection of data, people, and technology, rapidly synthesizing and solving with data is Beth’s specialty. She creates trust and excitement in high-performing teams, solidifies them through shared purpose and value, and forms a culture of continuous innovation. Beth and her partners are credited with numerous innovation value stories (> $100M annual): projected customer estimates (+ targeting and segmentation); data solutions for weekly blue ocean customer insights; persona levers tackling determinants of health; omnichannel marketing via a customer data platform; and a comprehensive commercial data strategy (rolled out globally in her previous role at Merck/MSD). Beth earned a BS from Carnegie Mellon University in psychology and professional writing, minoring in statistics, and an MS in Applied Statistics from Rutgers University.
Address:United States
Soheyla Amirian
Moderator
Faculty Lecturer at UGA/ Faculty Fellow at IAI
Biography:
Dr. Soheyla Amirian is currently a faculty lecturer at the School of Computing, University of Georgia, where she is also leading educational and research efforts at the Applied Machine Intelligence Initiatives & Education (AMIIE) Laboratory, working with a multidisciplinary team of faculty members, students, and investigators to design, build, validate, and deploy artificial intelligence (AI) and data-driven machine learning (ML) algorithms in different real-world settings, such as public health, imaging informatics, and AI-powered education. Furthermore, Dr. Amirian serves as a faculty fellow at the UGA Institute of AI. She earned her BSc, MSc, and Ph.D. all in Computer Science, with a main focus on AI, computer vision, and machine learning/deep learning computational components. Dr. Soheyla Amirian is the 2019 International Conference on Computational Science and Computational Intelligence CSCI Outstanding Achievement awardee, the 2021 UGA Outstanding Teaching Assistant, the NVIDIA GPU awardee, the 2020 and 2022 ACM Richard TAPIA Conference Scholarship awardee, and she was named a finalist of the 2020 NCWIT (National Center for Women and Information Technology) Collegiate Award. Of late, she has authored 25+ peer-reviewed publications and has organized several conferences and tutorials on computational intelligence (e.g., ISVC), serving as the Co-Chair of Research Tracks at the World Congress in Computer Science, Computer Engineering, and Applied Computing (CSCE) plus the International Conference on Computational Science & Computational Intelligence (CSCI).