This session introduces AI-driven automation and looks at the building blocks needed to automate operational tasks and decisions.

It discusses ground-breaking innovation that opens up the next stage in data and analytics for the data driven enterprise. It provides key information on how to use data, analytics and AI to automate decisions to significantly shorten time to reduce costs, reduce risks and seize opportunities to grow revenue.

Target Audience: Chief Analytics Officer, Chief Data Officer, Data Architects, Data Scientists, Business Analysts
Prerequisites: Basic knowledge of analytics and machine learning
Level: Advanced

Extended Abstract:
According to some analysts, the hyper-automation software market opportunity in 2025 will be as much as $850Bn. There is no doubt that if you can scale automation it will help companies significantly reduce costs and outperform their competitors in revenue growth. There are many things that can be automated including tasks, processes, IT and DevOps operations. However, there are so many things needed to make this happen. Given this opportunity, this session introduces AI-driven automation, looks at the building blocks needed to make it happen.  

• What is AI-driven automation and what can it do?  
• Size of the AI marketplace
• Use case opportunities
• Automating human tasks using AI-driven robotic process automation
• Intelligent document processing
• The power of human and AI-driven orchestration
• Automation building blocks
• Business goals
• Process mining  
• Data Events, business conditions and event detection
• Data integration
• Machine learning model services to predict outcomes
• Decision services
• Action services (skills that can be automated)
• Intelligent Orchestration - goal driven closed loop automation  
• The AI-driven automation process - capture, prepare, analyse, decide, act, optimise
• Human and AI-driven decision and action automation
• Getting started - what needs to be considered?