Blog
Helping our talent take off with AWS JetPack
At Inawisdom, we are continually investing in our people and in our partnership with AWS. Both provide the foundation on how we engage with our customers and are at the heart of our culture. As part of this, we ran an exciting initiative during Q2 & Q3 2022 – a...
Re:invent Recap #1: Data Highlights
“Evolve or die.” These were the words that Werner Vogel used in his closing keynote at re:Invent 2022. He was alluding to the rapid pace at which the landscape around us all is changing and the fact that organisations need to continue to invest in digital...
Re:Invent Recommendations: Top sessions picked by our AWS Ambassadors
AWS re:Invent is fast approaching and, as always, there’s a vast amount of sessions to choose from – over 2000, in fact, across 50 different content tracks. Hosted in Las Vegas, re:Invent is the biggest AWS event of the year and features exciting keynotes as well as...
Understanding Bias in the Machine Learning Process
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...
Meet the Team: Chris Coles, Cloud Engineer
In our new "Meet the Team" series, we'll be chatting to Inawisdom employees old and new across the business, to find out more about what they do and what they enjoy about working at Inawisdom. Today, we're talking to Chris Coles, who joined the team as a Cloud...
How mathematical optimisation is powering better business decisions
At Inawisdom, we work with clients across multiple sectors to solve their analytical problems. To ensure we always deliver value for our clients and address their challenges in the most appropriate way, we maintain a diverse data science and machine learning toolkit....
Running thousands of models a month with Apache Airflow on AWS
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...
Ask the Experts: The Rise of DBT
When it comes to next-generation data processing architectures, there's still a lot of innovation going on. It’s great to see the advancements being made to enhance, simplify and democratise the use of data. One technology we’ve seen gaining great traction over the...
Case Study: Implementing a Scalable MLOps Framework
There is a massive buzz around MLOps in the industry at the moment. Many businesses are finding that they have Machine Learning (ML) models already built in-house but do not know how to take these models to the next level with regards to making them "battle-ready" for...