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The Weekly #11

Curated AI News Google Releases Gemini 2.0 Google's Gemini has flown under the radar, especially if you're not signed up to the Google ecosystem. However, it is a very capable generative AI model that's just been significantly improved. With version 2.0 being

Has GenAI Lowered Our Standards?

OpenAI's video model, Sora, is a huge technological achievement. The problem is, it's just not good enough. To accept it, do we lower our standards?

Present a Compelling Data Story

Even with simple data, how you present it is a huge factor in how people understand it, consume it, and share it. It can make or break a data project.

AI / Data Science Podcasts

For those of us that like learning a topic by listening, this set of podcasts focused on AI, machine learning and data are some of the better ones out there.

The Weekly #10

Curated News Amazon is taking on Nvidia Amazon Web Services (AWS) has made a number of big moves with the announcement of a supercomputer called Project Rainier. The supercomputer uses a new server and hundreds of thousands of its homegrown Trainium AI chips. It's believed this move is

The Weekly #9

This week we have a great banking use case for Gen AI, Amazon create a new Gen AI model and Anthropic devs are shipping new features.

AI Agents Explained

In this article, we'll explore the basics of what AI agents are, how businesses are using them, take a look at the risks and also what the future may hold.

NotebookLM is Good

Google's note taking app is not only useful, but can also be fun too, with the Audio overview addition being a killer feature.

The Data Catalog

Having the right people, access the right data is vital to a successful AI project, and a Data Catalog is key in any data strategy.

What's Important About GPUs?

As Nvidia's financial numbers continue to impress, let's look at why GPUs are important in the AI industry.

Getting a Job in the AI Industry: Part 1

You don't have to be a data scientist or a technical expert to get a job in the AI industry. Here I explain some of the key concepts you would do well to educate yourself on.

Demystifying AI: Part 3

The final part of this series looks at what other factors a business needs to consider before going live with an AI project.

Demystifying AI: Part 2

In part 2, we take a look at what data scientists spend their time doing, and what type of algorithms we use for different use cases.

AI at Work

Have you implemented AI in your role yet?