Hi ,
In many organisations, data scientists and data engineers exist as support staff. Data engineers are there to make data accessible to data scientists and data analysts, and data scientists are there to make use of that data to support the rest of the business.
But in helping everyone else in the business, data professionals can often forget to help themselves.
However, just as AI and machine learning can be used to help others in the organisation perform their jobs more effectively, there’s no reason why they can’t also be used to help data
professionals excel in their own jobs. And as experts in applying these techniques, data scientists are perfectly placed to leverage them.
In the latest episode of Value Driven Data Science, I'm joined by Prof Barzan Mosafari, co-founder and CEO of Keebo, to discuss how virtual reality and data science can be combined to create interactive data storytelling
experiences.
Highlights include:
- (00:05) Meet Barzan Mozafari
- (00:50) The role of AI in data engineering
- (01:36) The birth of Keebo
- (02:34) Challenges in modern data pipelines
- (05:41) How Keebo
optimizes data warehousing
- (07:35) AI and ML techniques behind Keebo
- (08:47) Reinforcement learning in practice
- (16:23) Guardrails and safeguards in AI systems
- (26:29) The build vs. buy dilemma
- (36:03) Future trends in data science and AI
- (39:36) Final advice for data
scientists
- (40:50) Closing remarks and contact information
You can listen to this episode by clicking the button below, or find it on Apple Podcasts, Amazon Music, Spotify or Google Podcasts.
