Lost in Translation: Turning AI Hype Into Engineering Strategy

Seasoned tech entrepreneur and business leader: Based in Silicon Valley, Nataliya is the CEO and Founder of Svitla Systems, a global engineering partner delivering AI, data, cloud, and software engineering services and solutions. She previously founded Lohika Systems while at Stanford; the company was later acquired by the multinational Altran (2016).

Leadership: Nataliya emphasizes innovation and strategic growth, and she is fluent in navigating both corporate and startup environments. She holds an MBA from Stanford University and a Master of Science from the University of Kansas, and is dedicated to advancing emerging technologies and sustainable practices across her organizations. She is also an active angel investor and contributes to Ukraine-focused philanthropy through several non-profit board service. She is fluent in 5 languages.

Global footprint: Her organization’s global footprint spans North America, South America, Europe, and APAC, with operations and talent present across 5 continents.

Governance: Board Member, Ukrainian Catholic University Foundation; Advisory Board, Angel One Venture Fund; Board, Endeavor (Ukraine); Board of Directors, ENGin; initiator of Stanford Ignite Ukraine (2024–2027), Inaugural Board Member of Endeavor Ukraine Co-founded the Ukrainian Stanford Student Association.

Industry recognition: Globee® Female Entrepreneur of the Year; TITAN Women in Business; Stevie Awards - Best Female Entrepreneur; Women World Awards; US Women in IT; CEO World Awards.

Focus areas: outcome-driven AI adoption, secure and compliant delivery at scale, measurable ROI, and resilient global staffing.

Johann Beukes helps growth-stage companies turn artificial intelligence from a buzzword into measurable business value. As a Chief AI Officer, he defines and executes technology strategies that move from whiteboard to production. His work focuses on getting AI and ML initiatives shipped, scaled, and aligned with real business outcomes rather than remaining costly experiments.

With more than 25 years in software development and over 15 years in data science and AI, Johann brings deep technical expertise combined with executive-level judgment.

Johann’s approach is grounded in the belief that successful organizations are not “AI companies,” but companies that use AI effectively. His current focus includes leading AI practice development, building and scaling technical teams for high-growth environments, and implementing practical AI and ML solutions that deliver ROI faster.