Greg Peyroux is an entrepreneur, having co-founded multiple machine learning, computer vision and data analytics businesses. Ventures range from agri-tech, consultancy and health. Highlights include as: Managing Director of Iris Data Science and CEO/Co-Founder/Director of OmniEye. Greg has built businesses from scratch, successfully raised capital over multiple funding rounds, built a team of 20+ staff and developed SaaS products that generate revenue and have global appeal.Greg is also an experienced company Director and has held positions on several boards over the past 10 years.Via his ICT background, Greg has over 20 years’ experience as a technology leader, manager and strategist. He has managed, designed and implemented a rich set of tools and systems across the spectrum of IT solutions, including financial and employee systems projects, decision support systems for large pastoral sector stakeholders, through to significant national research high performance computing initiatives and data strategies.Greg has presented frequently on AI and machine learning topics in recent times.Greg is looking to help businesses unleash their data assets and utilise AI in their products and services, from building capability in-house to sourcing suitable partners and cloud technologies.Greg is also interested in utilising his governance and founder experience to help start-ups and later stage businesses realise their potential.Previous experience: CEO, Manager of information solutions, software development and bioinformatics computing teams and the high performance computing cluster; Contact for New Zealand Genomics Limited (NZGL) and service manager for NESI: e-science infrastructure; Developed knowledge management strategy and framework for the New Zealand Greenhouse Gases Research Centre (NZAGRC)Specialties: Start-ups, ML, AI, Knowledge, Information and Data management, Data frameworks, strategy, sustainability, software and product development, green computing, high performance computing (HPC), GIS, knowledge management, Sharepoint, Bioinformatics computing, financial report IT systems audit, IT security, Microsoft Dynamics, BI, systems architecture, project management, software development management, talent management, business analytics, visualisation techniques.