Digitalisation from the back office to the factory floor
- 1. Digitalisation from the back office to the factory floor 18 Nov 2021 Ruth Kearney and Steph Locke Nightingale HQ www.nightingalehq.ai
- 2. The NHQ team Ruth Kearney CMO 15+ years Marketing & Commercial roles focused on B2B and B2C Roll out of Fast.ai via University of San Francisco and Intel AI Accelerators in Ireland £1m funding from Ire gov and European Institute of Innovation & Technology (EIT) EU Focus Group AI, Industry boards. Steph Locke CEO/CTO 10+years helping businesses to get more out of their data and adopt AI Technology trainer and advisor EU Focus Group AI, industry steering groups and boards Author of 2 books on R Clients include Cambridge Uni, Microsoft, npower
- 3. AI AI is a huge set of tools for making computers behave intelligently - Andrew Ng
- 4. AI 70% of implementations fail to meet their stated aims. Following the holistic triple transformation approach taken by ‘lighthouses’ seems like a sensible approach to take’. Industry 4.0: Reimagining manufacturing operations after COVID-19 McKinsey
- 5. Getting started • Start small with pilot projects to gain momentum • Strong business case • Build a team around this • Provide broad training • Longer-term develop an AI strategy that aligns with your business objectives
- 6. AI-powered tools adds value across functions Manufacturers and Supply Chain Procurement Stock forecasting Supply chain analytics Demand prediction Production Predictive Maintenance Process control & optimisation HR Recruiting automation Finance Automated accounting Asset allocation Reporting and forecasting Quality Control Generative design Multi-function Robotic Process Automation Remote work
- 7. Improving operations fast An industry pressured to digitalise due to COVID19 Cost IT Backlog New project requests Frustrated end-users An industry Inefficient processes cost manufacturers up to 20-30% of their annual revenue every year IT depts are stretched with existing priorities New project requests are often delayed and get stuck in queues End- users unable to implement solutions to their problems
- 8. Materials manufacturer: Digitalising work instructions Need • Inefficiencies from manual document Revision Automation process Solution • Automation and digitalisation using no-code tools Result • Freed up staff time • Prone to less errors
- 9. Core infrastructure Document Management Systems Folder / file systems Online Document cracking AI driven processes for tabular extraction, OCR, etc Human coded extractions Metastore Raw document and tagging store, likely Cosmos DB AI driven processes for enhancements like relationship tagging Uses Intelligent Search Document version comparison Change recommendations Source documents Microsoft Form recogniser • Recognizing and extracting tables on chemical material composition • Mapping the links between different standards and specifications • Minimum viable product (MvP)
- 10. Electronics manufacturer Need • Inefficiencies from repetitive manual tasks Solution • Automation and digitalisation using no- code tools ✓Tools - Time mgt, supplier mgt for quote & order automation. Result • Freed up staff time • Faster supplier on- boarding
- 11. Customer: Freight Logistics Solutions Need • Unable to grow without massive headcount increases due to inefficiencies Solution • Real-time data consolidation • No-code processes ✓Delivery tracking, data reporting ✓Sales booking automation. Result • >50% staff time unlocked • > Significant cost savings
- 12. Effective change – within 2 weeks Demand Goal Identify appropriate route Internal skills Compliance Technology Prototype Iterate Scale
- 13. Process automation – booking confirmations What it was: Manual, time consuming process 1. Connect to 3rd party system to check booking updates on APIs 2. Input standard data into email template and send to customers (ref, codes, costs, times, dates etc) What it is now : Automated booking confirmation system 1. Connect 3rd party APIs to FLS systems 2. Manage history and data overtime 3. Inform customers when order is confirmed • Real-time (2 minute) • Useful data for client services • Faster and less errors
- 14. Leverage what you have If you’re paying for Microsoft 365 you have lots of tools you can be taking more advantage of: • Teams for collaboration and project management • Sharepoint and OneDrive • Microsoft bookings, Kaizala, Power automate desktop
- 15. EI Digitalisation Vouchers We are working with manufacturers to who want practical hands-on help with their digital transformation. • Current operational processes and systems • Identifying gaps and improvement opportunities • Actionable recommendations incl what technologies to use, what areas to invest in, and how to grow internal skills. bit.ly/DigitalisationVoucherNHQ
- 16. GoSmarter is a secure platform for non-tech workers to access no-code, AI- powered tools to improve processes around them fast. Tools in the hands of people with direct knowledge of the problem Manage and update without a single line of code Integrates with existing ERP & MES systems IT resources can be allocated to critical work Allows Ops teams to be in control of Ops tools Simple way for to scale digital transformation Opens up an untapped pool of talent within the business. Customisable & scalable with manufacturing operations Gosmarter
- 17. Top two industries spending on digital transformation (DX) £163.5 bn £91.8 bn Discrete manufacturing investment in DX Process manufacturing investment in DX Any rules-based processes will become automated regardless of companies’ existing technology infrastructure! Digital Transformation in Manufacturing
- 18. Digital Transformation in manufacuring Top two industries spending on digital transformation (DX) Discrete manufacturing investment in DX Process manufacturing investment in DX £163.5 billion £91.8 billion any rules-based processes will become automated regardless of companies’ existing technology infrastructure!
- 19. Further reading Developer Velocity: Lessons from digital leaders whitepaper Developer Velocity: How software excellence fuels business performance whitepaper Nightingale HQ In a Day training Power of no-code tools The state of AI in Manufacturing McKinsey Microsoft AI Fundamentals Training Data Modelling Manufacturing Data Ops AI Quick Win Projects Getting Started AI for Everyone Andrew Ng Coursesera Elements of AI Training