Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science

In this week’s podcast episode, Felipe spoke with Chris Dowsett, Head of Decision Science and Analytics at Spaceship.

Chris has been working in Data Science, Analytics and Decision Science for the past 18 years. His specialty is helping business leaders make decisions and solve business challenges using data science and analytics.

Don’t miss this episode as Chris talks about the difference between data and decision science, plus much more!

Enjoy the episode.

Thanks to our sponsor Talent Insights Group!

Read the full podcast episode summary here.

For the first time in Data Futurology podcast, we’ll be having a two-in-one episode.

In the first part of this episode, Felipe Flores is interviewed by AI today podcast hosts Kathleen Walch and Ron Schmelzer.

Cognilytica's AI Today podcast focuses on relevant information about what's going on today in the world of artificial intelligence.

In the latter part of this episode, Felipe interviews Kathleen and Ron to talk about certain challenges and finding out the real potential of AI.

Enjoy the show!

Thanks to our sponsor Talent Insights Group!

Read podcast full episode summary here.

In this week’s episode, we are joined by Maggie Shi, Head of Solutions Engineering Facebook ANZ, Japan and Korea. Maggie combines her 20+ years of software development, technical directing and project management experience into her current role at Facebook. She has a strong background in Java/C++ development which she has used as a foundation to lead strong technical teams.

Tune in for the full conversation where Maggie deep dives into privacy-preserving and data sharing.

Enjoy the show!

Thanks to our sponsor Talent Insights Group!

Join us at upcoming events https://www.datafuturology.com/events

Read full episode summary here.

We are joined by Florian Douetteau, a legend in the industry, who built a unicorn company within the data space. He is the CEO of Dataiku, a platform that assists in systemising the use of your data for exceptional business results.

Florian is a mathematician by trade, however he found the mathematics world too theoretical for his liking and wanted to move into a space where he could work on practical applications of the discipline.

He realized one of the things avoiding the widespread use of business intelligence was the fact that whatever the advance in the reporting, data itself was a problem, and in his own words, when you’ve got a problem and you want to solve it at scale, software is a good solution. That’s where Dataiku comes in, through their platform they enable teams to create and deliver data and advanced analytics using the latest techniques at scale.

Their motto is “Leave no one behind with AI.”, which Florian explains comes from the fact that for a data & AI project to have the right impact, you need a balance in terms of who is behind the wheel. It shouldn’t be just data scientists, you also need business stakeholders to participate. Ultimately, Dataiku is all about making data science and AI accessible to all the people in the organisation and enable them to take part in building AI and consuming AI-driven applications.

Tune in to hear more about Florian’s start in the data space, the lessons he has learned along the way and how he is working towards the democratisation of data through his company, Dataiku.

Enjoy the show!

Thanks to our sponsor Talent Insights Group!

Read full episode summary here.

In this day and age, preserving privacy is a fundamental requirement for maintaining the positive reputation of an organisation. There is a balance that we try to strike between sharing personal information and preserving information that is very personal and descriptive of an individual.

In this week’s episode, we are joined by Maggie Shi, Head of Solutions Engineering Facebook ANZ, Japan and Korea. Maggie combines her 20+ years of software development, technical directing and project management experience into her current role at Facebook. She has a strong background in Java/C++ development which she has used as a foundation to lead strong technical teams.

Tune in for the full conversation where Maggie deep dives into privacy-preserving and data sharing.

Enjoy the show!

Thanks to our sponsor Talent Insights Group!

Join us at upcoming events https://www.datafuturology.com/events

In this episode, we speak with Chris Wexler — CEO of Krunam. Krunam is in the business of removing digital toxic waste from the internet using AI to identify CSAM and other indicative content to improve and speed content moderation.  Krunam’s technology is already in use by law enforcement and is now moving into the private sector.

In this sensitive and equally essential topic, we’ll learn from Chris why AI is the future of fighting child sexual abuse material.

Read Full Episode Summary here.

Thanks to our sponsor Talent Insights Group!

Join us at upcoming events https://www.datafuturology.com/events

In part 2 of our interview with Steve Nouri, he spoke about AI specializations and share his thoughts about AI innovation in developing countries.

He says that AI is quickly evolving and we’re going to see a lot of specialized people working in the AI field in bigger organizations.

Also in this episode, we discuss personal branding and its importance for a Data Scientist. Steve shares first-hand experience on how he got started with his personal branding years ago and how it helped him with his role at the Australian Computer Society.

Don’t miss this episode as Steve shares his wealth of information with us.

Enjoy the show!

Read Full Episode Summary here.

Thanks to our sponsor Talent Insights Group!

We are joined by Steve Nouri, Head of Data Science & AI at Australian Computer Society and member of Forbes Technology Council. With 450k+ followers on LinkedIn,  Felipe calls him  “LinkedIn’s King of AI”.

Steve’s background is in software engineering but he got interested in data over 14 years ago. He went on to get a masters degree in Data Analytics and then transitioned into the data field completely.

In his role as Head of Data Science & AI at ACS, he encourages and helps people interested in the data world to pursue a job in the field. He is passionate about giving back to the community and he explains where his passion for data science comes from. Steve knows the potential AI has to create a huge impact in society, whether it be positive or negative. That’s why he dedicates so much of his time to work towards the ethical use of AI and to advance the applications of this technology for the greater good.

Tune in to learn everything about Steve and the impact he is having in the AI community through his many roles at Forbes, ACS, ISO and more!  

Enjoy the show!

Check out our upcoming live events at datafuturology.com/events

Read the full episode summary here.

Organisations are in constant need of innovation to fulfill their end consumer’s needs. That’s why several companies have started innovation areas to help update and grow their main business. Today we are focusing on starting a Machine Learning and AI initiative within these innovation areas to grow the value they are providing, scale their results and positively impact the rest of the organisation.

We are joined by Ram Radhakrishnan, General Manager for Customer Analytics, AI & Data Science at WooliesX, where he is building world-class capabilities thanks to 250+ data practitioners coming together. Ram is certain that AI and ML are future capabilities able to take organisations to new heights, whether it be solving business problems or providing a unique customer experience.

The AI & ML space is quite big and diverse, but both Ram and Felipe share how they’ve seen a huge rise in the demand for machine learning engineers due to the growing need of scaling and operationalizing models.

When it comes to hiring, the most important skill he looks for in candidates is the right attitude and the desire to always keep learning. WooliesX has a focus on teams and their members and works for them to dedicate nearly 20% of their time towards developing their own skills and knowledge.

Tune in for the full conversation where Ram goes into detail about WooliesX agile practices, their scope of work, growing their teams and what he believes are the most important upcoming skills in the data space.

Enjoy the show!

Check out our upcoming live events at datafuturology.com/events

Read the full episode summary here.

In this episode, Felipe speaks about what is going on with artificial intelligence in the retail space. Visual search and recommendations are currently trending in retail. Companies are offering the ability for consumers to search based on a picture. For instance, consumers can take a picture of a pair of shoes and find that product online, similar products, and products that would go well with it. Humans can process images way faster than text. Plus, pictures carry more information than sound. Visual search and recommendations are hot and on the rise right now.

Free shipping and free returns are hurting companies. People are buying multiple items with free shipping and then returning it. As a result, the retailer is paying for transport on both ends. Retailers are struggling with this model. However, free shipping is something that consumers are looking for. So, brands are offering a subscription model or a rental model. Sometimes, a combined subscription and rental model. More and more companies are offering clothing rentals.

Next, Felipe explains what to expect in retail. Automated stores are popping up in the United States from Amazon. You pick what you want in the store; then, you walk out without having to see a cashier. With advancements in AI, the movements of customers can be tracked in retail stores. Voice assistance is also something you can expect to see in the future of retail, like ordering something using an Alexa. Stay tuned as Felipe speaks about the basics of AI in retail.

Enjoy the show!