Danny Butvinik

NICE Actimize

As a visionary leader, I construct and oversee ethical, research-driven AI applications within the Actimize FinCrime portfolio and its auxiliary services. By harnessing collective intelligence and data consortiums, I deliver transparent, adaptive, and quantifiable analytical solutions that reduce fraud losses and expedite insights for clients and the market.

In a dynamic setting, I persistently refine the data science roadmap to achieve both short and long-term objectives. I spearhead the adoption of emerging AI and data science methodologies while establishing best practices to guarantee timely, robust, and reliable results.

I excel at assembling, mentoring, and managing top-tier talent, nurturing innovative minds capable of pioneering advancements in data science and AI. My collaborative approach extends to working with Product, Delivery & Development, Management, Marketing, and Sales teams, while actively reshaping the Data Science Stack components and SaaS platform.

In my central role, I engage in due diligence, IP development, client interactions, and strategic planning for scientific research across the organization's portfolio. As a prolific publisher of scientific papers, I hold 12 pending patents and contribute to esteemed journals and portals.

Chief Data Scientist

Johnson Controls

Manager a large group of highly skilled data scientists, and researchers. Instill analytics in delivery processes. Contribute to the growth of a data-driven culture and drive business value, as well as to the intellectual property of the company. Work with inner and outer stakeholders to promote research in the field of AI and Data Science. Incrementally refine, develop and shape the scientific research roadmap for the company portfolio. Build and develop centralized and de-centralized data science teams.

Head of Data Science

GE Healthcare

Research, manage and develop data-driven algorithms for detection of moving3D objects in a human body during the CT scan based on supervised and semi-supervised machine learning paradigms by solving complex problems with dimensionality reduction techniques and optimization under given limitations.

Director of Research

Augmented Reality Lab

Directing and managing the research and development of augmented reality-based Computer Vision and Image Processing. The research focuses on data-driven machine learning models to be able to detect moving objects in 3D with highly optimized algorithms for detection and matching.

Research Manager

University of Haifa

Academic research in the field of inferential statistics, information theory, computational geometry, data structures, and algorithms.

Scientific Researcher

As the Chief Data Scientist at NICE Actimize, I have over 20 years of experience in developing and implementing ethical, research-driven AI applications for financial crime prevention and detection. 

My mission is to deliver transparent, adaptive, and quantifiable analytical solutions that reduce fraud losses and expedite insights for clients and the market.

I lead the data science roadmap and vision, spearhead the adoption of emerging AI and data science methodologies, and establish best practices to guarantee timely, robust, and reliable results. 

I also excel at assembling, mentoring, and managing top-tier talent, nurturing innovative minds and fostering a data-driven culture.

I have published multiple articles, patents, and newsletters on AI and data science topics.

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