DataFramed

Welcome to DataFramed, a weekly podcast exploring how artificial intelligence and data are changing

Episodes

Total: 296

Snowflake has been foundational in the data space for years. In the mid-2010s, the platform was a ma

Databricks started out as a platform for using Spark, a big data analytics engine, but it's grown a

One of the biggest surprises of the generative AI revolution over the past 2 years lies in the count

Just as many of us have been using generative AI tools to make us more productive at work, so have b

We are in a Generative AI hype cycle. Every executive looking at the potential generative AI today i

We don’t think about every decision we make. Some decisions are easy and intuitive, others can be ri

Arianna Huffington, co-founder of The Huffington Post, woke up in a pool of blood nursing a broken c

2023 was a huge year for data and AI. Everyone who didn't live under a rock started using generative

In January 2024, six activists were identified by British Police in London, suspected of planning to

Cookies were invented to help online shoppers, simply as an identifier so that online carts weren’t

We’ve never been more aware of the word ‘hallucinate’ in a professional setting. Generative AI has t

Your data project doesn't end once you have results. In order to have impact, you need to communicat

Data used to be the exhaust of our work activities, until we started seeing the value it can provide

We learned so much about generative AI and its impact for people and organizations in 2023, we must

Regardless of profession, the work we do leaves behind a trace of actions that help us achieve our g

There are a few caveats to using generative AI tools, those caveats have led to a few tips that have

Over the past year, we’ve seen a full hype cycle of hysteria and discourse surrounding generative AI

Effective data management has become a cornerstone of success in our digital era. It involves not ju

There's often a debate in technology ethics on whether technology is neutral or not. On one hand, cr

The consequences of data not being easily accessible within an organization are profound. Good decis