The Art of Intelligence: Recent Episodes
Dionisio Nunes
There's more hype than substance about Artificial Intelligence (AI).
In The Art of Artificial Intelligence, Dionisio Nunes speaks with guests who have practical and nuance perspectives on what it takes to get started with Artificial Intelligence. From recruiters, data scientists, thought leaders to prospective investors, we carefully select guests we believe to have an honest take on AI based on their experiences. We hope you'll join us every week. Please subscribe.
In this episode I speak to Stephen Galsworthy, Chief Data & Product Officer at Quby.
Stephen shares concrete and easily understandable processes on how his team applies Artificial Intelligence in smart thermostats to help save money on energy bills and live more sustainably. After listening to this episode you'll have a totally new perspective on how smart thermostats works, and in particular, Eneco's Toon thermostats.
Take a listen and don't forget to subscribe to receive notifications when new episodes are published.
What's it like to get hired as a Data Scientist in institutions like Nato?
In this episode, I speak to Marguerite Dijkstra from Science [&] Technology [S&T] about the the hiring process for Research Data Scientists in the domain of Space, Science and Defense.
This is possibly one of the rarest content you'll find anywhere on the intersection between Data Science and Defense.
Regular listeners of the podcast will notice the stark difference between the qualification requirements between S&T and, for example, Shopify from the previous episode.
Take a listen.
If you're curious enough, check out careers opportunities at S&T or connect with Marguerite on LinkedIn.
In this episode, I speak to Dustin Berthiaume, Technical Talent Acquisition Specialist at Shopify about Shopify's current process of hiring Data Scientists.
Dustin shares insights into the (lack of ) academic qualifications requirements at Shopify, possible route of standardization of data science skill sets. He also shares his personal views on whether one should develop into a generalist or a specialist data scientist.
Dustin's LinkedIn contact
Careers at Shopify
In this episode I speak to SharpestMinds' Co-Founder and CEO Edouard Harris about the nuances of what it means to be a Data Scientist/Engineer, Machine Learning Engineer and other competencies associated with AI professionals.
Key take aways and questions addressed in this episode:
Universities don't actually train Data Scientists. Who does?
Industry changes faster than academic curricula. What are the implications on available talent pool?
The industry hasn't converged on a standardized definition of roles. How does this affect job vacancy descriptions for Data Science/AI?
The tools used to create AI models are getting better and simpler to use. What impact will this have on the types of Data Science competencies needed in the near future?
Comparatively fewer Data Scientist have lost jobs during the pandemic. Why?
Take this quiz to find out which data science roles will fit you best.
YDATA's Co-Founder/CDO and Portuguese Women in Tech award-winner Fabiana Clemente talks about how her company helps address the problem of data shortage or unavailability when getting started or scaling up with Artificial Intelligence: Synthetic Data.
Some questions she answers in this episode:
- Why do you need synthetic data?
- What types of data can be generated synthetically and what are the alternatives?
- What cannot (easily) be generated synthetically?
- How do you know that the synthetic data you have is of high quality?
- How much real-world data should you have in order to generate useful synthetic data?
- What are the privacy considerations to account for when you need data to be generated synthetically?
Simon Yam speaks about the state of AI in Retail.
What you'll learn:
- Why maturity level of AI in e-commerce is higher than in brick-and-mortar and how to close the gap
- Simple and tangibles example of where AI in brick-and-mortar can show quick return on investment
- How data scientists should present their work to non-technical people (in particular those at the management level)
- Considerations for assessing if your organization should build or buy AI-powered technologies
Some articles written by Simon:
- A Shopper Traffic Analysis
- Emotion Recognition and Potential Applications in Business
There's more hype than substance about Artificial Intelligence (AI).
In this podcast, we interview selected industry practitioners who have proven to be substantive doers of AI and not snake oil sales(wo)men.
The Art of Artificial Intelligence speaks with guests who have practical and nuance perspectives on what it takes to get started with Artificial Intelligence.
From recruiters, data scientists, thought leaders to prospective investors, we carefully select guests we believe to have an honest take on AI based on their experiences.
We hope you'll join us every week.