ÐãÉ«¶ÌÊÓƵ

Empowering Eaton: Cultivating Data Literacy for Proactive (Emergency) Communications Solutions

Michael De Leon, Director, Communications and Digital Employee Engagement
Brandon Jusek, Digital Marketing Manager, Industrial Sector

In the age of information, the ability to communicate effectively can be a challenge, but it is paramount for success, especially when it comes to emergency situations and critical communications. Eaton, a global leader in power management technologies, embraced this challenge by integrating data analytics into its day-to-day operations through its Critical Communications PowerBI Dashboard. Join us to discover the pivotal role of data analytics in understanding trends, discovering information gaps, and driving insights which enabled Eaton to tailor its decision making for maximum impact. We will dissect real-world emergency communication scenarios that demonstrate the interplay of technological advancements and data-driven decision-making to ensure effective and timely communications and foster a culture of continuous improvement and innovation.

Michael De Leon is the director of Global Communications and Digital Employee Engagement for Eaton. He joined Eaton in 2017 and is responsible for employee-focused digital communication technology. In this role, Michael leads Eaton’s global internal digital communication strategy, operations, integration, training, and counsels functional and business leaders on effective communication solutions and usage strategies that align with Eaton’s business objectives. In addition, he identifies, evaluates, and deploys new digital solutions to solve problems, help modernize the employee experience, and enhance communication effectiveness.

Michael has worked in startup, corporate, nonprofit and agency settings where he gained expertise in communication operations, technology, crisis communications, integrated marketing, content planning, international communications and more. His diverse experience has allowed him to gain exposure to, and understand, the spectrum of startup businesses to large corporate structures. With proven success in driving communications strategies, Michael’s passion for relationship management and channel development helps him deliver innovative solutions.

Brandon Jusek is a data scientist and marketing professional with more than 15 years of impact. He began his career in healthcare with a medical device company building and executing the overall marketing and communications strategy. As Brandon experienced the digital marketing journey, he developed a passion for marketing technology and the data associated with it. After completing a Master of Science in data analytics, Brandon has combined his love of marketing and data to drive improved decision making and more effective storytelling at Eaton.

Workforce Empowerment with AI Literacy and Enablement

Tim Hoolihan, Centric Consulting

With the latest advances in AI, it is now possible to empower more and more elements of the workforce. From the technical side, it is possible to utilize new platforms that make a wide range of AI approaches approachable and understandable. From the workforce side, literacy about how these models work and what they can deliver for business benefits becomes increasingly important. Workforce readiness is overtaking technical acumen as the primary constraint to AI adoption. This talk will look at enablement and literacy through the perspective of several case studies, including examples about neural networks, machine learning, and large language models.

Tim Hoolihan is a Data Scientist who also builds Data Science teams and offerings. He has experience helping clients navigate the worlds of data science, machine learning, and AI. Tim has worked in technology for 23 years, with the last 12 years focused on data science. He is in Northeast Ohio and is an organizer of the Cleveland R User Group. Tim has spoken at many technical conferences and published video content on R, Python, and Deep Learning. In his personal time, Tim spends time with his wife, their 3 daughters, and a hungry Boston Terrier.

Good Governance Accelerates AI Innovation

Kevin Mooney, Senior Director, Enterprise Data, AI & Analytics Governance, Cleveland Clinic
Joseph Dorocak, Manager, Information Technology, Lead Data Scientist, Cleveland Clinic

Our presentation explores how robust governance frameworks can drive the ethical and effective implementation of Artificial Intelligence (AI) within organizations. It emphasizes the necessity of cross-stakeholder engagement and the development of comprehensive, accountable policies to enhance clinical, research, operational, and financial decision-making. Our talk will outline six best practices for establishing strong governance systems, including sound policy creation, alignment with regulatory structures, detailed governance processes, a model development framework, guiding ethical principles, and consortium involvement. Additionally, the importance of an AI and data literacy program to ensure organizational coherence and operational accuracy will be highlighted. This approach aims to harmonize governance with innovation, leveraging AI's potential for the betterment of patients and society.

Kevin is the Senior Director, Data, AI & Analytics Governance at the Cleveland Clinic. An attorney, he worked in Cleveland Clinic’s Legal Office from 2005 through 2017, where he built and ran the IT/IP legal practice and served as its Lead IT Commercial Counsel and Chair. In those roles, he was heavily engaged in the strategy and implementation of Cleveland Clinic’s technology, analytics, telemedicine, EMR, cloud, digital health, privacy, cybersecurity, and high-tech opportunities and partnerships.

Joe Dorocak became an Associate in the Society of Actuaries in April, 2018. He has worked at the Cleveland Clinic since graduating from the University of Dayton in 2012. His focus had been the analysis of numerous shared savings contracts including Cleveland Clinic’s Medicare ACO and the Clinic’s Employee Health Plan, before taking on the responsibility of managing the organization’s Population Health Analytics team in 2018. Beginning in 2021, he has transitioned to a role focused on advancing analytical techniques with the use of machine learning, forecasting and simulation modeling. In his current position, Joe has overseen the enhancements of existing predictive models, development of new machine learning applications, and has been at the forefront of the organization’s data science journey to the cloud.