Data Futurology - Data Science, Machine Learning & Artificial Intelligence From Top Industry Leaders show

Data Futurology - Data Science, Machine Learning & Artificial Intelligence From Top Industry Leaders

Summary: Data Futurology is data from a human lens. In Data Futurology, experienced Data Science Leaders from around the world tell us their stories, challenges and the lessons learned throughout their career. We also ask them: - What makes a great data scientist? What skills are required? - How to become a great data science leader? - How should I grow and get the most out of my team? - What is a good data strategy? and how do I best implement it? - What are interesting applications of ML/AI that I should be considering in my industry? To find out more visit www.datafuturology.com

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Podcasts:

 #19 Vlad Kazantsev - Head of Data Science | File Type: audio/x-m4a | Duration: 3497

Vlad started his career in visual effects & computer graphics. He worked on Hollywood blockbusters such as Avatar, Dark Knight, Happy Feet. He currently is Head of Data Science at Wooga which makes June’s Journey (Facebook Game of the Year 2017), Pearl’s Perils, Diamond Dash and many more. We speak about: - why it’s important to follow your curiosity and what that looks like how to keep learning and stay current in data science - uses of pytorch, the second deep learning python library after tensorflow which is backed by facebook - relevant metrics & analytics in the gaming industry - statistical modelling, machine learning & deep learning in gaming - considerations for deploying ML models to production - the importance of speed in delivery of work & reproducibility of data science - how to keep innovating for your customers - what is the semi-embedded model and much, much more! Show notes: https://www.datafuturology.com/podcast/19 Vlad is based in Berlin, Germany

 #18 Dr. Ahmed Khamassi - Vice President of Data Science | File Type: audio/x-m4a | Duration: 3482

Ahmed started his career at Siemens research, worked in startups, at Google, PayPal, SAS and JPMorgan and has his own machine learning company and now he runs data science at Equinor We speak about: - benefits of simulations in research and data science how he went from “equation-driven” to “data-driven” - the role of simulations in optimisation, decision-making and automation - uses of simulations and deep reinforcement learning models in the energy industry - how data is used 2-5kms underground below the sea to infer the properties of the ground underneath - lessons from startups and what to look for in people to work with - why it’s important for data science teams to own the engagement of value creation with the customer - how to ensure that your data science team is creating value in your organisation - how to prioritise the work done by your data science team and what to aim for; and much much more! Show notes: www.datafuturology.com/podcast/18 Ahmed is based in London, UK

 #17 Naomi Clarke - Head of Data | File Type: audio/x-m4a | Duration: 4453

Naomi Clarke started as a graduate in the oil business, since then she's worked in multiple industries, and now she is Head of Data in the finance sector. Naomi has a strong background on business data arch, business data modelling, data governance.  I loved the human-centred perspective that she has taken to her work. We talk about: - the Management Information Systems (MI or MIS) she created in her early days - the importance of business data models for analytics - the difference between a logical and physical data model and which one is more important - how to define the right meaning of the data in your data models - disruptions in the financial sector that happened overnight - the relationship between deregulation, dematerialisation and digitalisation; and how its affecting industries - the tight link between business, data and culture; and how each one affects the others and much, much more! Show notes: https://www.datafuturology.com/podcast/17 Naomi is based in London, UK

 #16 Apollo Gerolymbos - Head of Data Analytics | File Type: audio/x-m4a | Duration: 4347

In this episode we speak with Apollo Gerolymbos who is the Head of Data Analytics at the London Fire Brigade. We speak about: - the applications of data science in firefighting - how the London Fire Brigade (LFB) uses data to preempt and minimise fires - the end to end data science process at the LFB - how their data affects laws, policies and citizens’ lives - how Natural Language Processing (NLP) and text analysis is used on the reports of the most serious fires to identify new patterns of high risk factors - the importance of identifying bottlenecks and weak points in the availability of your service - why it’s important for data scientists to educate non-data people in their organisations and much, much more! Show notes: https://www.datafuturology.com/podcast/16 Apollo is based in London, UK ------------------ Also, catch me at the Chief Data & Analytics Officer Conference in Melbourne on September 3-5, 2018 https://chiefdataanalyticsofficermelbourne.com

 #15 Tony Laing - General Manager Analytics & Data Services | File Type: audio/x-m4a | Duration: 4901

In this episode we speak with Tony Laing who is the General Manager of Analytics & Data Services at Auto & General. We talk about: - what is the ‘nuts and bolts’ of analytics - what is the data supply chain required in organisations for the delivery of analytics/ML solutions - how to deliver quick wins and strategic projects concurrently - the journey to add significant value in an organisation through analytics - what questions to ask executives to kickstart their data science journey - why is there so much turnover in data science - why data preparation and model building is only 20% of the job - what type of model is the best to drive commercial outcomes - whether ML applied in specific domains is AI or not - the art of data preparation, increases in computing power and automation of data science - what is “the knife fight” of data science and what type of companies can benefit the most Show notes: https://www.datafuturology.com/podcast/15 Tony is based in Brisbane, Australia

 #14 Dr Gabriel Maeztu -Medical Doctor & Chief Data Scientist | File Type: audio/x-m4a | Duration: 4557

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

 #13 Ernesto Bernado - Chief Product & Marketing Officer | File Type: audio/x-m4a | Duration: 3546

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

 #12 Alessandro Pregnolato - Director of Analytics | File Type: audio/x-m4a | Duration: 5548

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

 #11 Takaharu Tsuda -Practice Director & Head of Data Science | File Type: audio/x-m4a | Duration: 3702

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

 #10 Jonathan Hart - Head of Data Science & Analytics | File Type: audio/x-m4a | Duration: 4362

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

 #9 Matt McDevitt - Director of Data Engineering | File Type: audio/x-m4a | Duration: 3788

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

 #8 Agile Data Science by Felipe Flores | File Type: audio/x-m4a | Duration: 3124

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!

 #7 Sandra Hogan - Group Head of Customer Analytics | File Type: audio/x-m4a | Duration: 3576

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

 #6 Dr Mark Blakey - Ex-Managing Director | File Type: audio/x-m4a | Duration: 6153

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

 #5 Dr Anthony Rea - Chief Data Officer | File Type: audio/x-m4a | Duration: 3486

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

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