Day 2

• The integral role of technology in driving post-pandemic workplace transformation
• What are the top digital workplace challenges and how can they be addressed?
• Understanding how some companies have successfully leveraged the disruption to their advantage
• How cloud and edge computing have enabled the migration of business data and operations

• Artificial Intelligence – The key to knowing your customers. Using AI to understand and anticipate the behaviors of customers in order to serve better, more personal, more relevant experiences that lead to increased loyalty over time.
• Gaining a 360 view of your customer – Understanding the purchase and consumer journey to help inform investment and service development decisions.
• Analytics and Digital Transformation – What metrics can you use for measuring that engagement, and what should be outputs/outcomes be?
• Discussing the importance of consistency, reliability, and ease of use for customer retention.

•  The most important forgotten aspect in company’s digital transformation: physical security.
• How adding your video surveillance to the cloud will improve business operations.
• Why Video Surveillance in the Cloud and AI are best friends.

• Failure & Error induced due to non-detection of discrete and vanishing temporal events.
• Expanded Reality -XpR : A new Spatial and surface dimension calibration from high speed motion of Human-machine-workpiece mixed body interactions.

• How you can reduce your server carbon footprint
• Loyalty over lock-in
• Doing more with less, getting rid of data centers
• Techies preventing climate change

Availability of and access to data is crucial for the development of tech. For many organizations, the rapid availability of data is a big challenge. These can be found in the availability of relevant data, willingness to make data available and increasingly strict (privacy) regulations. Without data, no data-driven innovation and the need for solutions is therefore great. A possible solution is the use of synthetic data.

• Data availability: a key challenge to progress as tech organization?
• Why classic anonymization techniques do not work (anymore)
• Why start with AI generated synthetic data?
• What are value adding synthetic data use cases?
• How to turn privacy by design into a competitive advantage and how can I start today?

• Traditional and outdated workflows in the lab – going backwards!
•  Loss of data in a data-driven field: Inefficient documentation and its global impact.
• What are the pain points of researchers in the lab?
• Voice technology is the future in the lab.
• What are the added value for researchers and laboratories using ELEMENTA.
• The smart lab of the future – No more data loss!

• A Hyped trend?
• Where do we stand in level of maturity of AI?
• AI Overpromising and underdelivering?
• How to get on track for this Journey?
• How to accelerate the practical applications?
• What is the route to Date-Driven Enterprise?