About Us

Inawisdom is now part of Cognizant. Find out more here.

 

OUR TEAM

 

Led by Robin Meehan, co-founder and MD, Inawisdom is a company of experts dedicated to transforming the way businesses think and operate.

 

Our exceptional and proven leadership team includes the CEO, CTO and CFO from the first ever AWS Premier Partner in Europe, publically recognised as the ‘cloud natives’ by Amazon.com CTO Werner Vogels.

Together with a large pool of the UK’s leading architects and enterprise-grade solution consultants, this team has in depth experience of taking emerging technologies to the Enterprise Market, delivering real business differentiation.

 

Robin Meehan, CTO

Robin Meehan, MD

Robin is a technology strategist with a proven track record in leading and executing technology innovations and adoptions to make a real impact across multiple organisations. As co-founder and MD of Inawisdom, his mission is to help organisations to exploit every aspect of their data using Artificial Intelligence.

With extensive expertise, Robin is highly regarded in the industry as a thought leader and a ‘go to person’ for value creation in product and technology development to these innovations including Cloud computing, API management, big data technologies and Identity & Access Management.

Neil Miles, CEO

Neil Miles, Founder

As co-founder of Inawisdom, Neil has an extensive background, founding and growing a number of highly successful businesses. As a leader and innovator in the Technology sector, he is passionate about investing in people and working closely with customers, to enable them to get the maximum value from their data – the key is to drive growth, revenue and business differentiation.

Neil is also heavily involved in TechEast, the not-for-profit organisation, and plays a fundamental role in promoting and supporting the digital technology sector across the East of England.

RECENT BLOG POSTS

Ask the Experts: The Rise of DBT

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...

Tooling up with a Feature Store

Tooling up with a Feature Store

A Feature Store is useful tool to help manage Features used by Machine Learning models. I discussed in my previous blog the challenges related to Feature management, how to curate them and the desirable capabilities of a Feature Store. In this blog I will build upon...

Sharing Features in Scaled AI

Sharing Features in Scaled AI

Let me tell you a secret - the art of machine learning is not about data (although lots of people say that it is). Data itself is the raw material input for machine learning, especially for supervised learning or deep learning. The secret of machine learning is...

Redshift Serverless: First Impressions

Redshift Serverless: First Impressions

There were a LOT of announcements at re:invent 2021 – nothing new in that. Standard practice in the New Year at Inawisdom is to go through a process of digesting them in a bit more depth than is possible during the hubbub of the event. As part of this I had a quick...

Reflections on MLOps

Reflections on MLOps

A rare event! Last night, I attended the London MLOps meetup in person, something that has not been possible for getting on for two years. Despite a massive run from IT folk on a limited supply of pizza (clearly making up for lost time!), it was great to get...

5 Common Myths About AI Adoption

5 Common Myths About AI Adoption

When AI first came on the scene, only those businesses with cutting-edge tech agendas and well-resourced global enterprises had the budgets, skillsets and breadth of data needed to truly take advantage of it. Fortunately, as technology and best practice has developed,...