Issue link: https://read.uberflip.com/i/1381595
PA G E N A M E 3 4 S TA R T YO U R M L J O U R N E Y T O D AY Organisations that have reached the stage of delivering value with machine learning have been on a brave journey, one which involves investment both financial and time into people, processes and technology. To support customers to accelerate this journey, AWS has developed a workflow based on experience from hundreds of customers. It is an incremental approach focused on delivering end-to-end machine learning (ML) solutions into production to deliver early value, with both tangible and intangible results, while building up the skills, operational change management and technical capabilities required. Launch your machine learning journey with AWS Click here to start your journey. B A C K T O C O N T E N T S > READINESS ASSESSMENT A tool to understand the organisational readiness to embrace ML across the dimensions of data, people, operations, strategy and governance. IDEATION SESSION Understand the art of the possible, diagnose immediate business challenges and identify high priority use case(s) *2 pizza team: Jeff Bezos instituted a rule of 2-pizza teams that every internal meeting must be small enough to be fed with 2 pizzas. The overarching reason to organize in small, autonomous teams is to move faster--faster than we have previously moved and faster than our competition. MINIMAL VIABLE PRODUCT (MVP) A 2-Pizza team* delivers a production-ready solution to pilot Input: Successful POV OUTPUT: AWS Public Reference OUTPUT: ML Blueprint OUTPUT: Problem statement(s) AI-POWERED ORGANISATION A program aimed at assisting customers to become self-sufficient, efficient and to realise the value with ML moving to multiple use cases and ML workloads PROOF OF VALUE (POV) Involves a data health-check and the building of a basic solution to prove the approach and Return on Investment (ROI) Input: Statement of Work (SOW) as formulated in the ML Blueprint POST-PRODUCTION Review solution adoption, change management and life-cycle requirements ADDITIONAL EXECUTIVE WORKSHOPS (OPTIONAL) ML EXECUTIVE BRIEFING CENTRE ART OF THE POSSIBLE ML BUILDING FOR EXECS AI POWERED ORGANISATION ADDITIONAL TECHNICAL WORKSHOPS (OPTIONAL) IMMERSION DAY TECHNICAL DEEP DIVE MLOPS OPERATIONALISE ML ML SCALE SCALING ACROSS THE ORG DISCOVERY WORKSHOP An engagement where business and technology stakeholders work backwards from 1 to 2 ML business opportunities Input: Problem statement & use cases DISCOVER Design your future with ML DELIVER Bringing your ML project to life SCALE Evolve with AWS LEVEL UP! START HERE OUTPUT: Current and target state OUTPUT: POV show case & ROI validation Lets get started