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

Graeme started in actuarial science and developed a love for algorithms and automation. He worked in data warehousing before moving into data analytics. He spent 16 years in several Head of Data roles at The Automobile Association (AA) before joining Addison Lee as their Chief Data Officer, where he is today.

We speak about:

* What is actuarial science

* Data warehousing & GIS systems

* Overview of the Chief Data Officer role

* Automation in the data space

* How to build a data warehouse

* The difference between a data warehouse, data lake and virtual data warehouse

* Starting data work with business problems/questions

* How to deliver value to the business

* Balancing tactical project delivery with strategic work

* Enabling self service data analytics

* Prioritising & sizing up work

* Modern styles of work in data

* Data governance: creating a plan

* Creating a data strategy

* How to get to a head of role

* Team building

* Networking

Show notes: www.datafuturology.com/podcast/33

Graeme is based in London, Greater London, United Kingdom

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!

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!

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!

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!

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!

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!

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!

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!

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!

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!