Turning numbers into narratives

Welcome to the first issue of our Made Tech insights newsletter, a monthly round-up of the insights and thought leadership that have got decision makers talking, thinking and strategising. To be at the front of the queue for the next issue, subscribe now .

Data science decoded

Data science isn't just about crunching numbers, it's about creating compelling stories from the information.From wrestling massive datasets to exposing AI risks, James Poulten, Lead Data Scientist shares invaluable lessons learned from his latest projects and gives us a quick glimpse into the exciting field of data science.

Blog: Turning numbers into narratives

More information: Data and AI services at Made Tech

From feedback to forecast

Monitoring forecasting accuracy and creating a user-centred experience is at the heart of what the Met Office do. By partnering with Made Tech, they can now interrogate hundreds of thousands of individual pieces of user feedback from millions of daily users of the Met Office public website and mobile apps.

Take a look at this case study to find out how our new analytics platform provides real-time insights and helps the UK public stay safe and thrive.

Customer story: Boosting the Met Office's insights with a modern data analytics platform

Digital priorities for the National Care Service

We're at a crucial point for transforming public services in health and social care. Significant progress has been made, but there's more to do. Paul O'Looney proposes 5 key recommendations for Wes Streeting and his team to deliver the National Care Service. These key digital priorities include: investing in unified care records, improving IT integration, developing a social care workforce plan, and embracing AI for better service delivery.

Blog: Top tips on how to build a National Care Service

More information: Health and Care services at Made Tech

Q&A with our data experts

Hear from our data experts as they share their thoughts on some of our most asked data-related questions, from synthetic data, to data culture and data sharing and profiling.?

In this session they cover:

• Why does a lot of public sector data remain unused? Skills? Tools? Ways of working??
• If you have lots of different data sets and want to gain insight from them, what approach would you recommend?
• Is working with synthetic data exclusive to data scientists or are there opportunities for other data professionals to gain these skills?

Watch the replay now.

Video: Q&A with Made Tech's data experts

More information: Data and AI services at Made Tech

If you’d like to talk through the possibilities of data and AI, contact Made Tech today .

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