What does history teach us about job loss, job creation, and job evolution as technologies are introduced and productivity improves? What facts do we know today that help us to anticipate the future effects on the workforce? What don’t we know? How can it hurt us? How can it help us?
Looking at you core of your CoE, The Robotic Operating Team. Creating a scalable, functional & technical environment. Articulating an effective governance model. How to enable CoE and prepare for scale-up.
A market view on state of RPA adoption cutting through the existing hype. What are the strategic and tactical challenges in rolling out large scale automation programs. Case studies on large scale automation implementation.Speaking
Keynote Presentation: The Next Big Thing in Automation: Developing cognitive technologies for a better business
Where you need to develop cognitive capabilities to enhance your business decision making. Digging into the power of data and algorithms behind your machine learning framework for advanced results. Examples for Natural Language Process (NLP) enhancing business performance.Speaking
The core competencies of modern BPM. Core competencies of RPA. Identifying the key stages of the digital transformation journey. Where BPM and RPA applies to these stages to help your achieve your short and long term transformation goals.Speaking
Creating business value that can delivered through intelligent automation in todays world. Looking at the open ecosystem platform to enable the creation of the self-driving enterprise. The impact of intelligent automation on the current and future Enterprise IT landscape, looking at new opportunities to realize operational excellence and setting the stage for the innovation of… Read more.Speaking
Director, Shared Services Operations Office of Talent Management - Parkland Health & Hospital System
Discussion Group One
Discussion Group 1A: Bridging the gap between data and insights with business transformation and outcomes
Understanding what’s next after data mining and data collection – What do you do with the data? Turning data and insights into actionable outcomes for business value. Integrating AI with other forms of technology for actionable outcomes.
How Machine Learning works with unstructured data. How it can support your overall standardisation strategy on a global scale. Where you can apply Machine Learning in shared services. A readiness model that tells you if you’re ready to start piloting.
Identifying ‘out-of-the-box’ applications for existing technologies, and maximise the potential of current technologies. Building a set of requirements for the next generation of solutions to remain competitive long-term.
Discussion Group Two
How to map your Shared services activities to identify further automation areas. How to measure automation capabilities to reach 100% automation. Looking at how to link your automation projects to your continuous improvement strategies.
Looking at deployment of automation across the enterprise requires coordination, organizational transparency, and stakeholder buy-in. How to embrace multi-organizational collaboration and build a culture of coordination. Creating business benefits through an enterprise-wide commitment to success in their implementation of automation.
How to create a great user experience. Best ways to improve retention and engagement. How to Market & Monetize your chatbot. Insights from the most successful chatbots.
Panel Discussion: Developing strategic RPA & AI roadmaps to build your competitive advantage in a world of disruptions
Evaluating existing processes to determine where RPA & AI fits in your organisational blueprint. Going beyond just ROI and showcasing how it is crucial for business competitive advantage sustainability. Building in-house capabilities vs. Engaging external vendors – Choosing the service delivery model that best fits your organisational needs and processes. Future-proofing your business – Leveraging… Read more.Speaking
• Develop clear governance policies and controls that IT, information security and business leaders understand and can adhere to. • Manage vendor relationship in an effective and sustainable way. • Create a robot governance working group of key stakeholders across the business to prevent systems changes from causing later headaches for your virtual workforce.