Data Futurology

Data Futurology

Avatar
By Felipe Flores
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
Available on 12 platforms
#32 Carole Wai Hai - Head of Data Science & Analytics
Carole had an unusual path into data science. She's worked as a content project manager, in strategic planning and in sales before getting into data through Business Intelligence at Fyber where she eventually became their Head of Analytics. Today she is the Head of Data Science & Analytics at Tenjin. We speak about: * The strengths of being a generalist * Upskilling throughout your career * Focus on self service reporting * The skills needed in a BI team * Creating internal user groups to share knowledge * Convincing people to get training on the tools required to do their job better * The benefits of gaining a reputation internally * Setting a strategy for data teams * The importance of data modelling skills in data teams * Learning technology on the job when you're background is not technology * Monthly meeting with key departments to review all dashboards in the department * Working remotely in global companies * Metrics about user behaviour * Offering analytics for many customers with the same problem/need * How to develop consulting skills * The platinum rule - book on communication style * The leadership challenge - book recommendation * What it's like working in startups * How to recover from being a workaholic Show notes: www.datafuturology.com/podcast/32 Carole is based in Berlin Area, Germany And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. It really helps new data scientists find us. Thank you so much, and enjoy the show!
1:00:59
December 4, 2018
#31 Scott Wilson - Founder & CEO
Scott started his career pushing trolleys at Woolworths. In his career he rose to management levels in retail with Woolworths, consumer goods with Kraft Foods, Fonterra SPC and PZ Cussons, then in media with 21st Century Fox. He then became the CEO of iSelect, a role he left earlier this year to start his own AI company Wilson AI. We speak about: * Focus on customer needs * Digitising industries to access more data * Helping companies in multiple industries to begin their data analytics journey * How to differentiate your company when competitors have access to the same data * How to overcome being "data rich but insight poor" * Changing industry power dynamics through data * Creating new teams to create value from data * The importance of storytelling in data science * Defining objectives with your data analytics communication * Educating industries to use data more effectively * Understanding costs & priorities across the value chain to make better decisions * Eliminating your biases when dealing with customers * Process re-engineering & AI * How to think outside of the building * How to start an AI company * The importance of translating between business and technical * How to connect data science and the boardroom * The importance of data science education in an organisations journey * How to achieve a wider spread adoption of AI * Focusing on cost & revenue with data science for maximum impact * Resist the urge to boil the ocean * The role of a CEO in a publicly listed company * Focusing on the top 3 business priorities * Productionising AI & monitoring unintended consequences Show notes: www.datafuturology.com/podcast/31 Scott is based in Sandringham, Victoria, Australia And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. It really helps new data scientists find us. Thank you so much, and enjoy the show!
1:04:46
November 28, 2018
#30 Aaron Black - Chief Data Officer
Aaron started his career working in accounting and building management information systems (MIS). He had his own company, worked in multiple industries and then got into biology and genomics. Today he is the Chief Data Officer at the Inova Translational Medicine Institute. We speak about: * How to take research into scaled applications * The importance of sharing your knowledge and helping others understand * Why you're only as good as your team members * How to engage many different types of stakeholders * Challenges of data management in healthcare * Data governance & provenance in healthcare * Data monetization & it's stigma in healthcare * The benefits of data sharing consortiums * The potential of genomic & DNA data * Handling algorithm biases * Enabling reproducible research through data * Why "perfection is the enemy of good" * The importance of creating & sharing your mental models Show notes: www.datafuturology.com/podcast/30 Resources: Weapons of Math Destruction https://weaponsofmathdestructionbook.com Evernote https://evernote.com Real time board https://realtimeboard.com Mind jet - mind mapping https://www.mindjet.com Aaron is based in Washington DC Metro Area, USA And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. It really helps new data scientists find us. Thank you so much, and enjoy the show!
1:00:34
November 21, 2018
#29 Dr. Klaus Ifflander - Chief Analytics Officer
Klaus started his career doing internships at Yahoo! and the port of Hamburg. He worked as a consultant and completed a PhD in Quantitative Marketing. Today he is the Chief Analytics Officer at YAS.life We speak about: * The importance of getting applied experience as early as possible * Defining KPIs for businesses * Using data to change organisational behaviour and increase safety * How to navigate organisations to create data definitions * Realities of consulting: positives and negatives * Why large companies require so much custom work * How to help people and organisations that don't know what they want * Helping organisations in progressing through their analytics journey * How to overcome technical challenges with creative solutions in your projects * Why honesty within yourself and others is imperative in your work * How to provide customers what they need instead of what they want * The importance of hard and soft metrics when measuring value * Applying soft skills in data science * How to find what will be valuable for your customers * Expanding your interest with a postgraduate degree * How your social surroundings affect your purchase decisions * Using soft skills for data acquisition * What is eigenvector centrality and what is it used for? * How product reviews influence your buying decisions * How to create experiments in business * Pricing models in the steel business * Data science in fitness startups Show notes: www.datafuturology.com/podcast/29 Klaus is based in the Berlin Area, Germany. And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. It really helps new data scientists find us. Thank you so much, and enjoy the show!
1:01:12
November 12, 2018
#28 Jennifer Prendki - VP of Machine Learning & Data Strategist
Jennifer started her career as a particle physicist before becoming a data scientist. After gaining experience in many fields including high frequency algorithmic trading & advertising, she was Atlassian's first Chief Data Scientist. Today she is the VP of Machine Learning at Figure Eight and an Expert and Advisor at the International Institute for Analytics. We speak about: * How to see the results of your work sooner and faster * The importance of choosing your manager * Making data strategy decisions for companies that are very immature in their approach to data * Building data science teams from scratch * Combining impostor syndrome and leaps of faith for your benefit * The importance of making mistakes to be successful * What having a great data culture really means * How to convince peers and supervisors on the benefits and the path of data strategy * Differences between having a technical and non-technical manager * Combining technical abilities and business sense * The importance of customer contact for technical people * Focus on the impact and outcome of everything that you're building * How to keep the balance in teams * Pleasing customers vs product intuition * How to drive and create a data driven culture * How to create scale with your data science efforts * How to build your data science team * Data engineering vs Machine learning engineer * How to keep talent * How can data scientists learn the skills for business leadership * Active learning and building products for data scientists Show notes: www.datafuturology.com/podcast/28 Jennifer is based in Mountain View, California And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. It really helps new data scientists find us. Thank you so much, and enjoy the show!
1:08:01
November 5, 2018
#27 Dr. Mark Nasila - Chief Analytics Officer
Mark used to be a statistics lecturer at Nelson Mandela University in South Africa. He then joined First National Bank as a quantitative analyst where he climbed through the ranks to Head of Advanced Analytics and beyond. Today he is the Chief Analytics Officer at FNB. We speak about: * Predicting what the customer is calling about * Improving compliance in banking through analytics * Creating and driving a data strategy across an organisation * Using analytics to look after customers in better ways * How to create and measure economic value from data * How to find meaning in your work * Understanding your value across the entire value chain * Creating a culture of collaboration that's not afraid to fail * Working with tertiary institutions to identify talent * What to test when interviewing data scientists * How to structure your team & work with stakeholders * The importance of data governance * How to implement and socialise the solutions created by the team for maximum impact * The importance of mentoring and growing people * The difference between head of analytics and chief analytical officer Show notes: www.datafuturology.com/podcast/27 Mark is based in the Johannesburg Area, South Africa And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. It really helps new data scientists find us. Thank you so much, and enjoy the show!
54:22
October 29, 2018
#26 Sam Robertson - Head of Research & Innovation
Sam's background is in sports & exercise science. He has an accomplished career in sport analytics. Today, he is the Head of Research and Innovation at the Western Bulldogs and an Associate Professor at Victoria University. We speak about: * Using ML to help people see the non-linerarity in their problems * Common misconceptions of ML * Interpretability of ML * Using ML to improve athletes performance, measure their contribution & prevent injuries * Carving a data science job in an area you're interested in * How to choose projects to focus on * Mixing psychology, operations and data science in sport * Data collection & management in sport * How data can help off field & the mental side of the athletes * Similarities of data in sport and government/ corporate * How athletes change when fatigued * Applications of sports analytics * How data can help create drills to improve player performance & skills * Current modelling challenges in sport * Real time decision making in game by coaches: challenges and realities * Educating stakeholders Show notes: www.datafuturology.com/podcast/26 Sam is based in Melbourne, Australia And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. It really helps new data scientists find us. Thank you so much, and enjoy the show!
55:02
October 23, 2018
#25 Ben Taylor - Chief Al Officer & Cofounder
Ben started his career as a chemical engineer. He developed an interest for computer vision early on. He worked for Intel, then at a hedge fund and then became the Chief Data Scientist at HireVue. A couple of years ago he started his own AI startup called Ziff.ai where he's is building a Deep Learning platform for product visionaries and software engineers. We speak about: * How computers amplify us * What it looks like to start your own AI company * How to switch programming languages * Downsides of Google's tensorflow * What industry expects from data science * How to deliver value with ML * How to pick ML projects to tackle * Eliminating bias in AI applications * AI powered job interviews of the (near) future * Topic discovery with DL * AI warfare in business * What is a Hive Mind and how it works * Future health care assessments at home * AI is cute until it's scary * The importance of passion and obsession in data science Show notes: www.datafuturology.com/podcast/25a Articles by Ben on Linkedin: This is Why Your Data Scientist Sucks: https://www.linkedin.com/pulse/why-your-data-scientist-sucks-benjamin The Al War Machine: Our Darkest Day https://www.linkedin.com/pulse/ai-war-machine-our-darkest-day-ben-taylor-deeplearning-/ The Al War Machine: The Hive Mind https://www.linkedin.com/pulse/ai-war-machine-hive-mind-ben-taylor-deeplearning- Getting That Data Science Job https://www.linkedin.com/pulse/getting-data-science-job-ben-taylor-deeplearning-/ From 0 to $100K+ data science job in 6 months https://www.linkedin.com/pulse/from-0-100k-data-science-job-6-months-ben-taylor-ai-hacker/ Ben is based in the Provo, Utah Area And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. It really helps new data scientists find us. Thank you so much, and enjoy the show!
1:31:53
October 15, 2018
#24 Mistakes in Building a DS Capability by Felipe Flores
This is a different type of episode! This episode is a presentation I recently did at a large financial services institution. I presented on 5 Mistakes and Lessons Learned in Driving Business Value with Data Science and the Cloud. I talk about: - Using Lean Startup and Design Thinking principles in Data Science - The importance of staying close to your end customer and what that looks like in practice - The difference between machine learning for machines and for humans - What is the purpose of ML/AI and how you can bring that thinking into your organisation - What using ML for humans looks like - Using data from other areas - Leverage the flexibility of the cloud Show notes: www.datafuturology.com/podcast/24 Slides: http://bit.ly/df-5mistakes Felipe is based in Melbourne, Australia And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. It really helps new data scientists find us. Thank you so much, and enjoy the show!
26:48
October 9, 2018
#23 Mario Vinasco - Marketing Analytics and Data Science Mgr
Mario is an Electrical Engineer from Colombia. He went to Silicon Valley to do his Masters at Stanford University and stayed to build a career in Marketing Analytics. He has incredible experience and has worked at Intuit, Google, HP, Symantec and Facebook. He currently works at Uber as Marketing Analytics and Data Science Manager. We speak about: - Starting in marketing analytics without knowing anything about it - Data dictators and why multiple versions of the truth are necessary - The importance of data science education in organisations - How to pick the best predictive model for your applications - How to use people analytics - Google style - Why your job is to empower your stakeholders - How to stand out during interviews Show notes: www.datafuturology.com/podcast/23 Mario is based in the San Francisco Bay Area And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. It really helps new data scientists find us. Thank you so much, and enjoy the show!
1:11:39
October 2, 2018
#22 Kshira Saagar - Head of Analytics and Data Science
Kshira has been with the Analytics/Decision Sciences industry for almost a decade now having worked across Americas, Asia, Europe and Australia. He is the Head of Analytics and Data Science at The Iconic. We speak about: -Why he moved from analytics consulting to building data products -What a data driven product should do and how to prioritise your efforts -How to make analytics less intimidating and more accessible -How to take your stakeholders on the data-driven decision making journey in next the best way -How to structure your team for maximum impact in your organisation -Most common issues and roadblocks in creating a data driven culture and how to overcome them Show notes: https://www.datafuturology.com/podcast/22 Data Scientist job https://github.com/theiconic/datascientist Kshira is based in Sydney, Australia And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. It really helps new data scientists find us. Thank you so much, and enjoy the show!
59:48
September 25, 2018
#21 Antony Ugoni - Director, Global Matching and Analytics
Antony stumbled into his love of predictive modelling at the tender age of 10. He started his professional career in biostatistics and then made the switch to corporate Australia to work as Head of Analytics in banking before joining Seek; where today he is the Director of Global Matching and Analytics. We speak about: - how analytical thinking adds value both in research and in corporates - why you should read an intro to epidemiology textbook - why this is the most exciting time to be in analytics - his transition from research to corporate - surprises and rewards of moving into corporate - how to use the constraints you have for your benefit - how to stand out in data science interviews and much, much more! Show notes: www.datafuturology.com/podcast/21 Antony is based in Melbourne, Australia And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. It really helps new data scientists find us. Thank you so much, and enjoy the show!
1:11:15
September 18, 2018
#20 David Greenberg - Senior VP and Head of Data Analytics
David studied applied physics and began his career as a consultant. He’s had his own company where he created a video asset management & workflow software in the 90s!. Then worked in the education/not-for-profit sector and then went into the finance sector as VP of BI & Data Analysis. Today, he is the Senior Vice President and Head of Data, Analytics and Research at BankMobile. We discuss: - the insights into large companies from his early days in consulting - why technology provides the “guard rails” for the business - why our roles as data scientists is to make sense of the mess - what’s missing in today’s analytics education and how to learn what you need - what to look for when building a diverse team - the importance of creating a narrative in analytics - the mindset to maintain during your analysis - motivations behind problems with data definitions - how data is like a flashlight Show notes: www.datafuturology.com/podcast/20 David is based in Providence , Rhode Island, USA
1:15:28
September 10, 2018
#19 Vlad Kazantsev - Head of Data Science
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
58:17
September 5, 2018
#18 Dr. Ahmed Khamassi - Vice President of Data Science
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
58:02
August 28, 2018
#17 Naomi Clarke - Head of Data
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
1:14:13
August 21, 2018
#16 Apollo Gerolymbos - Head of Data Analytics
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
1:12:27
August 14, 2018
#15 Tony Laing - General Manager Analytics & Data Services
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
1:21:41
August 7, 2018
#14 Dr Gabriel Maeztu -Medical Doctor & Chief Data Scientist
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
1:15:57
August 1, 2018
#13 Ernesto Bernado - Chief Product & Marketing Officer
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
59:06
July 25, 2018
#12 Alessandro Pregnolato - Director of Analytics
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
1:32:28
July 17, 2018
#11 Takaharu Tsuda -Practice Director & Head of Data Science
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
1:01:42
July 10, 2018
#10 Jonathan Hart - Head of Data Science & Analytics
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
1:12:42
July 4, 2018
#9 Matt McDevitt - Director of Data Engineering
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
1:03:08
June 26, 2018
#8 Agile Data Science by Felipe Flores
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!
52:04
June 20, 2018
#7 Sandra Hogan - Group Head of Customer Analytics
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
59:36
June 12, 2018
#6 Dr Mark Blakey - Ex-Managing Director
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
1:42:33
June 7, 2018
#5 Dr Anthony Rea - Chief Data Officer
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
58:06
May 29, 2018
#4 Dr Sam Kharazmi - Head of Data Science
In this episode we speak to Dr Sam Kharazmi, Head of Data Science at RedBubble. We talk about how to focus on product & users with your data science efforts, how data science can add value to company growth at different stages of the company's journey, how to combine people leadership & tech leadership to better drive business outcomes and much more! Sam is a Data Science, Analytics and Engineering leader with extensive experience in building teams and data product on small and large scale organisation and data science strategy. Show notes: https://www.datafuturology.com/podcast/4 Sam is based in: Melbourne, Australia
1:28:39
May 23, 2018
#3 Dr Jacek Kowalski - Chief Data Scientist
In this episode we speak to Dr Jacek Kowalski, Chief Data Scientist at Australian Unity. We talk about pragmatic and realistic data science, data science for startups and corporates, leadership in analytics, what it takes to get analytics projects through in large corporates and much more! Jacek is a highly experienced ICT manager and technical expert. His areas of expertise include Data Science, Network Analytics, Security, Virtualisation, Mobility, and Identity Management. His technical leadership and significant input into the business strategy contributed to the success of Azure Wireless and its acquisition by Docomo NTT. He's worked at a number of research institutions, major corporations and technology startups. He's published scientific papers in the area of Statistics, Network Analytics and holds technology patents. Show notes: https://www.datafuturology.com/podcast/3 Jacek is based in: Melbourne, Australia
1:33:27
May 15, 2018
#2 Ben Pattison - Head of Customer Data Science
In this episode we speak to Ben Pattison, Head of Customer Data Science at Medibank. We talk about getting buy-in from stakeholders, how to develop data scientists, the relationship with technology and business, how to define strategic priorities for your data science team and much more! Ben has over 20 years experience, in the UK and Australia, as an analytical and strategic leader, passionate about driving business and customer value from data and analytics. He has experience of leading large teams to design and integrate Credit Risk, Data Science, Decision Services and Analytical Marketing solutions into Personal, Consumer Finance, Insurance, Small Business and Wealth operations. Show notes: https://www.datafuturology.com/podcast/2 Ben is based in: Melbourne, Australia
1:27:56
May 15, 2018
#1 Dr Eugene Dubossarsky - Chief Data Scientist & Principal Trainer
In this episode we speak to Dr Eugene Dubossarsky, Chief Data Scientist at AlphaZetta and Principal Trainer at Presciient.com We talk about data literacy, questions to ask your potential employer, his definition of actionable insights and much more! For upcoming Data Science, Machine Learning and R courses go to: http://presciient.com/current-courses/ Eugene is a Strategic Advisor in all aspects Data Analytics - Capability building, winning support, management and operations. Community Builder. Creator of a number of data science and analytics communities, interest groups and professional associations He's the creator of ggraptR, an interactive data visualisation package in R Show notes: https://www.datafuturology.com/podcast/1 Eugene is based in: Sydney, Australia
2:15:11
May 15, 2018
Make your own podcast for free with Anchor!