Digital Director, Arcadis
Titus is Arcadis’ Insight & Analytics lead with 15+ years’ experience in the implementation and use of technologies to drive automation & greater intelligence to businesses using data.
Titus is a skilled user of numerous technologies and is one of Arcadis’ community educators on best practice and efficient application of tools. He has a personal passion for agility in the workplace, design thinking, graphic facilitation and sprint methodologies. With experience in retail, insurance and construction industries, he brings knowledge from a variety of areas to create solutions which harness and extract value from our data.
We now operate in a technology driven world, and the landscape in which we apply our skills and create our culture has changed significantly. The tools, processes, and methodologies we utilise and adopt, are developing in line with our evolving environment or what we like to call “workscape” When thinking in sustainable terms, the project professional should now be focussed on ensuring benefit alongside efficiency and footprint; the need for data-driven decisions, AI and innovative processes will become critical in the very near future, and is already being employed in many industries today.
This session aims to present some views on the changing direction of our workscape and the tools believed to be at the forefront in the future of project management. We will also discuss how organisations and the evolving project professional will use them.
Areas to be covered:
- How is data analytics being used to enable effective and efficient decision making?
- Is there a place for Virtual Reality in project management?
- Our changing workscape – has Covid 19 changed the way we work forever?
- Are higher education organisations and industry evolving toolsets together, and if not, should they?
- What are the differences in what we have done before and what we should do in the future?
- Back to the drawing board! With a focus on sustainability, recycling and energy, do we need to turn off our PCs?
- Can machine learning enable effective decision making? Should we trust them?