The Solution Provider Information Pack gives you detail and insight into the business development opportunities available at the Exchange. Allowing you to visualise how your company can benefit from attending the event, meeting with the senior attendees and, perhaps most importantly, discover how the Exchange model can ensure you are securing the right business, at the right time.
At the last Intelligent Automation Exchange, Rod Chadwick, the Head of Process Simplification, PSAP Centre of Excellence shared with us Royal Mail’s vision was to deliver greater quality, efficiency and effectiveness across business processes using RPA. In order to achieve these goals, Royal Mail created a centre of excellence, devised of two teams – one focused on process simplification and another on RPA development. Rod’s process simplification team aims to improve process optimisation through the elimination of non-value-adding activity using RPA.
Rod walked us through the 5 step journey that saw Royal Mail create 3 robots in a proof of value that two years on has led to the creation of over 30 robots that are successfully used in various business functions. Watch this presentation to find out how Royal Mail went on to build a business case and ultimately scaling up the technology.
At the last Intelligent Automation Exchange, Cyrus Moazami-Vahid the Principle Scientist at Amazon Web Services presented the opening address on 'Modern Enterprise: The Evolution To Becoming An AI Company'.
Amazon have really revolutionised shopping experiences over the last few years and are set to keep this trend up in years to come. Cyrus shared with us some of Amazon’s current automation projects in the computer vision arena. Amazon have released their first ever grocery store, Amazon Go. The Amazon Go Store is the result of 6 years of development. In order to build this seamless shopping experience, in which no money is exchanged and all payment is made on a virtual card, Amazon started by unifying the enterprise around a unified frame of reference. This allowed all employees at Amazon to see the world, and the shopping experience, through the eyes of the customer. From there, Amazon began reverse engineering. This was one of Cyrus’ key takeaways from the session – to obsess over the result you want to achieve instead of the technology and the tools that will get you there. Fast forward a few years into development and Amazon has created robots that can use computer vision to better predict the quality of fruit than a human can! Amazon have also introduced robots into their warehouses to help employees fill orders which has resulted in 50% more inventory in warehouses and 20% more efficiency. Weaving innovation into the DNA of the organisation is what Amazon’s philosophy on automation encompasses – all the way from employees to customers.
Watch Cyrus’ presentation to discover what it means to have a ‘Day 1’ mentality on automation.
Ben Gesing from DHL presents the greatest challenge and opportunity since globalisation according to a study by McKinsey, with two third of revenue growth occurring through full digitalisation of supply chains. DHL’s approach to tackling digitalisation had four steps. Firstly, DHL began to set up a digital business models by researching trends and piloting new innovative technology. By partnering with innovative start-up technologies, DHL can improve their operational efficiency and ultimately improve customer experiences. Using innovative technology like machine learning and computer vision, DHL are able to be predictive and get ahead of issues before they arise while also changing the way they operate and approach the logistics industry. There have been incredible opportunities for DHL to use computer vision for improved inspection, identification and maintenance of the DHL fleet. Machine learning has provided huge improvements in predicting air freight delay and the use of autonomous mobile delivery robots. Watch this presentation to discover how by utilising a digital business model, DHL are creating the seeing, thinking, autonomous future of supply chain.