by Dan Seymour | Apr 21, 2023 | Amazon, Machine Learning
For businesses that rely heavily on documents to gather customer data, extracting the information required for business insights can be time-consuming and challenging. This is especially true in industries such as Financial Services, Insurance, Law, and Healthcare,... 
by Laurence Smith | Mar 27, 2023 | Machine Learning
If you’ve been in any of the more technical corners of the internet lately, you’ve probably heard of ChatGPT. Recently it has risen to prominence as a potential Google Search “killer” and a significant step toward artificial generalised intelligence – with... 
by Gaurav Bhagi | Mar 2, 2023 | Data & Analytics, IoT, Machine Learning
The pace of innovation in the Automotive Industry has never been faster. The widespread adoption of electric vehicles (EVs), self-driving cars, connected cars, and shared mobility services – in both advanced markets and emerging economies – has pushed the... 
by Phil Basford | Mar 1, 2023 | Amazon, Machine Learning
Just before Christmas, I was lucky enough to attend re:Invent 2022. This was my third time at re:Invent and my second time with Inawisdom. As an AWS Ambassador, I had very busy week with lots of exciting things to do – including filming some videos with AWS (coming... 
by Alex Kearns | Oct 27, 2022 | Data & Analytics, Machine Learning
With Machine Learning models becoming increasingly integrated into the day-to-day operations of business, it is essential that the predictions that they make are fair and explainable. Bias within the Machine Learning process can take several different forms. These... 
by Phil Basford | Sep 27, 2022 | Amazon, Machine Learning
I worry about inference a lot. This is the term that covers the process that makes predictions from a machine learning model(s). While working on customer projects, I come across different types of inference: High throughput and low latency (real time)Low throughput...