What are some of the AI related challenges and transformational possibilities we are faced with as a company delivering digital transformation for enterprises? This is the question I attempted to answer in my innovation keynote speech at AI Tech North, the first large scale AI conference in the North of England. It was truly exciting to share insights, my perspective and observations with AI enthusiasts, academics, graduates and leaders gathered in large numbers to discuss innovative technologies and data trends.
During last month’s Leeds Digital Festival, I had the pleasure of hosting a round-table discussion on RPA entitled Robotic Process Automation: The Emperor’s New Clothes? The collective insights of my guests – senior representatives of businesses from across the north of England – made for a truly fascinating debate and I want to share the fruits of our discussion with you.
We recently helped a customer use machine learning concepts to build models for predicting how their customers will shift across channels. It is a significant milestone in our ability to help customers create their digital strategy and specifically, to build the business case for the channels that they should go after. Know more about this engagement here.
Take for instance, the public sector, which is growing extensively connected. This could be because numerous government bodies share citizen data for civilian convenience, analytics and cost-control.
To further complicate matters, GDPR compliance is creating huge challenges in these connected environments. For example, if PID (Patient Identifiable Data) is shared across departments or organisations without any governance, there are obvious risks around not having a common view of controls, which lead to data leakage risks.
It’s touted as the Holy Grail to encourage data compliance, customer retention and nurture by most in the industry. In fact, in our April blog, Graham explains how financial institutions can use the requirement to comply with new legislation around personal data collection and processing as an opportunity to regain consumer confidence.