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Gartner Expert
Mikael Sacco
Director Analyst
Mikael Sacco is a Director Analyst at Gartner Research specializing in Artificial Intelligence and related domains including Data Science, Machine Learning, Analytics Governance and Operational Delivery Frameworks. His research focuses on future trends, strategy, innovation, ethics, ROI and best practices in AI and Analytics.
Before joining Gartner, Mikael held roles across the Pharmaceuticals, Transports, Telecommunications and Procurement sectors. He began his career as a Statistical Programmer supporting Clinical Trial submissions in Hematology and Oncology, later advancing into Data Science roles where he developed sophisticated Machine Learning and Generative AI solutions, including Agentic applications. Mikael has led Data Science and Data Engineering teams, implemented MLOps and GenAI Ops frameworks, and set strategic AI direction for multiple organizations.
Previous experience
BT Sourced: Led cross-functional teams to design and implement advanced AI solutions, including MLOps, Generative AI, and cloud-based frameworks. Spearheaded development of agentic solutions (LangGraph/Google ADK) integrated with Vertex AI. Established Data & AI Governance frameworks, aligning business opportunities with AI services and lifecycle policies to maximize ROI.
DSV: Built and maintained machine learning pipelines and predictive models, notably an ETA prediction engine leveraging real-time GPS data. Championed organizational AI adoption through workshops (e.g. Cardiff University), mentoring, and cultural transformation initiatives. Promoted data-driven decision-making and served as a recognized expert in ML and MLOps.
Novartis: Served as Principal Statistical Programmer and Big Data Analytics Consultant. Led regulatory-compliant statistical programming for oncology trials, including RECIST criteria standardization. Represented Novartis in industry collaborations (e.g. PhUSE) and drove digital innovation to reduce patient burden via data mining, classification and regression analysis. Managed global teams, coordinated programming activities, and participated in Health Authority inspections (FDA, EMA).
Professional background
DSV, Data Science Senior Manager, 2 years
BT Sourced, Data Science Senior Manager, 4 years
Novartis, Principal Statistical Programmer, 10 years
GIMEMA, Trial Statistician, 2 years
PQE, Statistical Consultant, 1 years
Areas of coverage
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AI Strategy and Business Transformation
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Analytics and Artificial Intelligence
Education
BSc in Statistics from Università La Sapienza and a PGC in Machine Learning and Big Data Analytics from University of Liverpool
Top Issues That I Help Clients Address
Artificial Intelligence
Data Science/Machine Learning - Team Management, Modelling Techniques, Deep Learning, ML Engineering, MLOps, Best Practices
Generative AI - LLM, Agentic AI, GenAI Ops, Best Practices
AI Strategy – Leadership Success, Business Value/ROI, Emerging Trends
AI Literacy - Upskilling, Culture and Engagement