Machine Learning

Category: Machine Learning

Jarmany is a thought-leading organisation in the world of Data Analytics. We regularly produce Machine Learning content and research and share it on this page. Check back regularly or get in touch if you have any questions.

Your Essential Guide to Microsoft Azure for Data Platforms

In this blog, we’ll provide a recap of Azure and an update on its performance in the cloud market. We’ll explain why Azure is a great choice for Modern Data Platforms, whose development has become a priority for many organisations. Once that’s done, we’ll touch on key Azure services, its AI developments, including Copilot, and how Azure generally prices services.

Ipsos Jarmany’s Year In Review

2023 has been a big year for the world. From economic uncertainty and the rising cost of living to major advancements in artificial intelligence, you could say it’s been a memorable year. But, whilst all this has been going on in the world, we’ve been focused on making 2023 one of our best yet so we can continue to provide world-class service to our clients and deliver data, analytics and AI solutions to help them drive growth and deliver efficiencies.

Our Top 10 Predictions For Data and Analytics in 2024

It’s time for a round-up of the changes coming our way in data and analytics over the next 12 months. Before we do though, let’s look back for a moment to 2023, which has been a memorable year for us all.

12 Essential Steps To Be AI-Ready

Want to totally transform business growth and gain massive new efficiencies? Easy. Just add a bit of AI to the mix; it’ll be a walk in the park. That certainly seems to be the message right now. But is AI adoption really that simple?

Artificial Intelligence

Our Top 5 Predictions for 2023

With such substantial growth set for the tech industry, we’ve collated our top 5 data and technology predictions for 2023 to guide you on where and how you should be investing your funds.

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Visual impairment

We’re on the verge of a blindness epidemic – AI could come to its rescue.

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Women in data

Increasing the diversity within a company means new opinions, the challenging of ideas and often a better outcome.