Patrick Anderson Managing Director Patrick Anderson has over 25 years of experience in IT and Technology, specialising in AI, cloud computing, cloud economics, data strategy and analytics, programme and project management, agile transformation, and organisational change management. He holds numerous certifications, including Lean Six Sigma Black Belt, Agile Scrum Master, Data Protection Officer, and Generative AI Solutions with Azure OpenAI Service. Patrick has been working with linguistic processing since 1998 and ML/Predictive since 2017.Patrick has impacted organisations ranging from startups to Fortune 30 companies and has extensive experience in the retail industry. Throughout his career, Patrick has formed alliances and channel teams focused on Microsoft Azure, Amazon Web Services, and Google Cloud Platform. He has also authored four partner playbooks for starting a cloud alliance with Microsoft.Major ProjectsAI Strategy – Led the AI strategy implementation using design thinking, which resulted in innovative prototypes and the selection of an AI stack, culminating in a comprehensive update of all AI-related policies for a major enterprise energy companyAI Prototyping – Converted ideas into functional prototypes by identifying, refining, and prioritising problems based on business objectives. Developed and tested rapid prototypes for potential improvements, offering an efficient way to craft AI solutionsAI Studio Launch – Launched the AI Studio with engaging workshops to enhance team skills in AI. Established an AI Showcase/Use Case Library MVP, centralising AI use cases with interactive resources.AI Redaction – Built a tool for semi-automatic redaction of information from PDFs using LLM to identify and highlight information, which the user then confirms or rejects. This project was driven by new regulations requiring document redaction before release.AI for All Strategy – Developed the AI for All strategy, including the use of copilot chat and Pro GPT. Evaluated the cost and benefits of different AI tools and their impact on user experience.Predictive Analytics/Machine Learning – Led a team working with an equipment company to gas drillers supported by Microsoft to predict machine failure and up-times to maximise the equipment and servicing prior to breakdown. As well, we evaluated the impact on the equipment based on geo (soil makeup) and cocktails to led to better knowledge of wear and tear on equipment for margin prediction. This has been adopted and starting to be adopted by others as best practice for similar companies.Areas of ExpertiseAI / ML / Predictive / GenAIOrganisation Change ManagementArchitecture & Technical TransformationEnterprise ArchitectureBusiness Process ImprovementData Strategy, Privacy & AnalyticsData GovernanceIndustry ExpertiseFinancial ServicesHealthcareManufacturing and DistributionTechnology, Media, and CommunicationsHospitality and GamingRetail / Consumer ProductsEducationTexas Christian University / BS, CoScProfessional Memberships and CertificationsGenAI Solutions with Azure OpenAI ServiceSix Sigma Lean Black BeltData Protection Officer SkillsGenerative AI Productivity SkillsMicrosoft 365 Copilot Project ReadyDigital Product ManagementAgile Scrum Master / Analytics / Design Thinking