Svetlana Kharlamova serves as the Director of Data Science & AI at Walgreens Health, where she is at the forefront of integrating advanced AI and machine learning solutions into healthcare operations. With a robust background in machine learning, generative AI, and MLOps, Svetlana is adept...
Svetlana Kharlamova serves as the Director of Data Science & AI at Walgreens Health, where she is at the forefront of integrating advanced AI and machine learning solutions into healthcare operations. With a robust background in machine learning, generative AI, and MLOps, Svetlana is adept at transforming complex business challenges into actionable technical strategies. Her current role involves spearheading key projects that focus on the seamless integration of AI models into existing business processes and IT systems, ensuring that these innovations not only enhance operational efficiency but also deliver measurable ROI.
Svetlana's expertise extends to formulating and executing comprehensive digital ML/AI workplace strategies, where she collaborates closely with C-suite executives to align data initiatives with overarching business objectives. Her commitment to ethical AI practices ensures that all applications comply with stringent guidelines, fostering trust and accountability in AI-driven solutions. By leveraging her skills in statistical modeling, analytics, and agile methodologies, Svetlana leads a team of data scientists and engineers in developing cutting-edge solutions that drive business growth and improve patient outcomes.
In addition to her technical acumen, Svetlana is passionate about training and development, recognizing that nurturing talent is essential for sustaining innovation in the rapidly evolving AI landscape. Her strategic vision and leadership not only position Walgreens Health as a leader in healthcare technology but also contribute to the broader dialogue on the responsible use of AI in the industry. Through her work, Svetlana is not just shaping the future of healthcare technology but also setting a benchmark for ethical and effective AI implementation across sectors.
