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

In this episode we speak with Dr Gabriel Maeztu who is the Co-Founder and & Chief Data Scientist at IOMED Medical Solutions. We talk about:

- his background, how he went from medicine to data science and how he combines medicine, data science & entrepreneurship

- how to start coding when everyone around you tell you you’re crazy

- image processing in medicine, using scikit learn to classify patients

- how to use data science to validate what you’re taught in medical school

- economical Incentives of the medical system that is probably slowing down progress in the data space

- GAFAs: Google Apple Facebook Amazon in medical data

- value based care built on data science

- NLP/text processing in medicine

- current & future data challenges in medicine and much, much more!

IOMED is hiring data scientists!

https://angel.co/iomed/jobs/379740-data-scientist

Show notes: https://www.datafuturology.com/podcast/14

Gabriel is based in Barcelona, Spain

In this episode we speak with Ernesto Bernardo, he is the Chief Product & Marketing Officer at iContainers. We talk about:

- whether leaders of tomorrow should be technical or not

- how to create autonomous teams that focus on value (ROI) & pay for themselves

- how creating a data science team that deliver value in the business forces you to go from a centralised to a decentralised team

- why creating a data-driven culture in your organisation requires good marketing and great people skills

- how the reporting lines of a data science team and significantly affect the teams’ impact in the business

- the importance of networking within your company to drive adoption and change the culture

- how to stand out in data science interviews & what managers look for

- actionable metrics: focus on what you can control/influence to change the metrics you care about - i.e.: what’s the input/driver

Show notes: www.datafuturology.com/podcast/13

Ernesto is based in Barcelona, Spain

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In this episode we speak with Alessandro Pregnolato, he is the Director of Analytics at Typeform.com. We talk about:

- his journey to get where he is,

- what is the optimal size of a data science team,

- how to use data science in SaaS businesses/startups

- the 4 pillars of a great data strategy

- how to be an expert generalist in the data space and much more!

Alessandro is a Business Analytics Leader with a love for Data Science. He has over fifteen years experience within the domain of BI, Analytics, Big Data and Machine Learning in international environments.

He has strong management and communication skills with a demonstrated ability to work well under pressure with people from a variety of backgrounds.

Show notes: www.datafuturology.com/podcast/12

Alessandro is based in: Barcelona, Spain

In this episode we speak with Takaharu Tsuda, Practice Director & Head of Data Science at Think Big Analytics. We talk about:

- his journey to get where he is,

- how applications of data science in many Japanese industries,

- the translation of data science into Japanese and why it's hurt the industry!

- the 3 layers of skills required in data science and much more!

Show notes: www.datafuturology.com/podcast/11

Tak is based in: Tokyo, Japan

In this episode we speak with Jonathan Hart, Head of Data Science & Analytics at MullenLowe Profero. We talk about:

- his journey working in the US, UK, India and Japan,

- how to create great Data Science teams and a great culture,

- how to use data science in strategic decision-making

- how to work with teams all over the globe and much more!

Show notes: www.datafuturology.com/podcast/10

Jonathan is based in: Tokyo, Japan

In this episode we speak to Matt McDevitt, Director of Data Engineering at Think Big Analytics. We talk about:

- his journey working in the US, UK, Europe and Japan as the company grew,

- how big data, open source, data engineering and data science work together,

- General Data Protection Regulation (GDPR), Personally Identifiable Information (PII), data lineage

- business value, data products and much more!

Matt is one of Think Big’s earliest team members playing many roles to help incubate and build Think Big over its 8-year history into the leading Big Data Analytics Global brand. He helped build from scratch and establish Think Big practices in the United States in Mountain View, Salt Lake City, New York, London and Toyko.

Matt assisted in the development of Think Big’s innovative Velocity Delivery methodology, which integrates Data Engineering and Data Science in 6-week release cycles.

Show notes: www.datafuturology.com/podcast/9

Matt is based in: Tokyo, Japan

This is a different type episode! This is a recording of a presentation I did to about 300 data scientists in Melbourne, Australia. The theme of the night was Agile Data Science, a passion of mine. In this episode I cover:

- the productivity gains an individual and a team can gain using agile methods

- how agile is imperfect but very helpful

- how I've tweaked agile to fit data science and deliver value with my teams

- bust some of the main myths around agile, and much, much more!

The show notes and presentation slides are in https://www.datafuturology.com/podcast/8

I hope you enjoy the episode!

I am based in Melbourne, Australia and currently travelling for a few months!

In this episode we speak to Sandra Hogan, Group Head of Customer Analytics at Origin Energy. We talk about:

- how to successfully apply data science,

- how to gauge your stakeholders ability to consume analytics,

- what is analytics for good, the importance of mentorship in data science and much more!

Sandra has extensive experience in the Marketing Sciences field, predominantly in re-engineering business processes to maximise customer relationship and customer experience outcomes. She's passionate about translating complex customer data into easy to use tools and processes. Her expertise spans embedding analytical capabilities and data driven decisions into business processes to achieve significant improvements across sales and marketing functions.

Show notes: www.datafuturology.com/podcast/7

Sandra is based in: Melbourne, Australia

In this episode we speak to Mark Blakey, Ex-Managing Director at his own technology company Mainstream Consulting. We talk about:

- how to combine entrepreneurship and data science,

- how to create small teams that punch above their weight,

- how to scale data-driven products using machine learning and much more!

He founded and led Mainstream Consulting, a technology company, for 20 years. During that time he built a blue-chip client base of top tier high street banking customers including CBA, NAB, ANZ, Barclays Bank, Abbey National plc, Legal and General Bank, Woolwich plc, Mortgage Trust plc, Clydesdale Bank, Yorkshire Bank and many others.

Mark is currently the founder and organiser of popular Melbourne meetup group on applications of machine learning to stock market prediction: https://www.meetup.com/Machine-Learning-Applied-to-Stock-Market-Predictions/

Show notes: www.datafuturology.com/podcast/6

Mark is based in: Melbourne, Australia

In this episode we speak to Dr Anthony Rea, Chief Data Officer at The Bureau of Meteorology of Australia. We talk about what happens to over 30 petabytes of weather data in one of Australia's largest super computer, how to combine data governance and policies with culture and technology, details of the World Meteorological Organisation or WMO - an international data exchange program, how to create machine learning (ML) and data steward communities in your organisation and much more!

Anthony has a background in remote sensing and physics. During his career he has worked on every aspect of data science and now is an executive leader at the Bureau of Meteorology of Australia.

Show notes: https://www.datafuturology.com/podcast/5

Anthony is based in: Melbourne, Australia