Part 2: Debunking myths around silver bullet technologies

16.06.20 By Neil Vernon, Chief Technology Officer


Neil Vernon, Gresham's CTO in conversation with Gert Raeves of Adox Research, helps us debunk some of the myths around AI, blockchain and other technology silver bullets. Matching the seemingly endless potential with down to earth realities they explore the innovations that have the biggest impact on business challenges today: speed of configuration and execution, and the quality of the user experience.

Neil explains how the stress test of post-pandemic market volatility shows the limitations of AI alone and how  the ability for robots to learn from human experts, with robotic process automation, provides unique value.

"When the markets went crazy in March 2020, the humans in the banks already knew how they would respond to the errors and the volumes they would inevitably find in their reconciliation and control functions - because they understood the processes upstream.

One of our large customers on March 13 was dealing with 600,000 errors (typically they have 5,000 per day) but they already knew what the resolution path for those errors would look like because they understood the processes - humans are invaluable for those situations.

When you have one of those awful days, humans are going to solve it - it won't be AI..."

Part 2: The 3 Stages of Data Control 

Debunking myths around silver bullet technologies

Why should business users care how data control is done? Neil looks into the obvious and hidden costs of processing the data that underpins daily operations, decision making and passing compliance. Talking through what technologies create 'wow' factor breakthroughs, Neil outlines why Gresham's Clareti platform has been built the way it has been, what technologies can only get you so far and the importance of humans in an increasingly robotic process.

Catch-up with Part 1: How to build a platform that can deal with any type of data

Listen to Part 3: Collaborate to Innovate

Listen to Part 4: Complexity versus Simplification