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

#126 Data-Driven Approaches From Politics to Aerospace with Adam Bonnifield – VP Artificial Intelligence

In episode 2 of our “Bitesize Insights for Data Driven Leaders” Series, Adam Bonnifield is a VP of Artificial Intelligence at Airbus. He is a former Chief Product Officer (Census) at the U.S. Department of Commerce and Co-Founder of Spinnakr and Giv.to. Adam lives and breathes online engagement - he ran digital strategy for political campaigns since he was in college, breaking Congressional fundraising records. After graduating from Cambridge University, he was awarded the Tsuzuki Fellowship...

#125 Transitioning From Academia to Business – The Skills Gap with David Hardoon – Senior Adviser for Data and Artificial Intelligence

David is the Senior Advisor for Data and Artificial Intelligence at UnionBank Philippines. Concurrently David is an external advisor to Singapore's Corrupt Investigation Practices Bureau (CPIB) in the capacity of Senior Advisor (Artificial Intelligence) and to Singapore's Central Provident Fund Board (CPF) in the capacity of Senior Advisor (Data Science). David loves the idea of programming logic. We have the ability to use information as mechanisms to assist us on a day-to-day basis. So, D...

#124 The Data Science Team: Skills Needed, Purpose and How to Structure with Dan Costanza – Chief Data Scientist

Dan Costanza, Chief Data Scientist at Citi, joins me for the first episode in the new “Bitesize Insights for Data Driven Leaders” Series. Dan opens the show by explaining how he got interested in data. After graduating from college, Dan went into an investment banking role. Eventually, he received an exciting project that got him started down the data path. Dan says as someone who didn’t study computer science in school, it has been a heavy lift trying to get those technical skills up to par...

#123 Why We Need to Focus on Implementing Data Governance with Michelle Pinheiro – Head of Enterprise Data Governance

Michelle is Head of Enterprise Data Governance at ANZ Bank. In this role, Michelle is responsible for Data Governance strategy across the group, ANZ Data Privacy and Ethics framework, Enterprise Metadata Management, Data Risk and a Centre of Excellence for Data Quality. Michelle has over 25 years of experience in the world of Data and utilizes that knowledge to help foster organized and sustainable large scale analytical environments for commercial success. Michelle has a particular interest...

#122 Optimising Conversational AI Dialogue Systems with Dr. Maria Aretoulaki - CEO

DialogCONNECTION was founded in 2008 by our Director and Lead Consultant, Dr. Maria Aretoulaki. Maria has been designing Speech IVRs and Voice User Interfaces (VUIs) since 1996, long before Voice Assistants, but also before telephone self-service was mainstream. She got into Voice through a Post-Doc in Spoken Dialogue Management for Speech recognition applications, after having got a PhD and an MSc in NLP and Machine Learning and a BA (Hons) in Linguistics & English. In this episode, Dr. Ma...

#121 The Strategic Importance of Data Warehousing and Analytical Software With Craig Rowlands – Senior Executive Information Management

Craig Rowlands is the Senior Executive Information Management at Medibank. Craig’s role is to provide thought leadership, aligned with expertise in delivering pragmatic business focus information management solutions whilst leading improvements in the data landscape. Whilst at Medibank, Craig has transitioned Medibank from a legacy data management team to a cloud first data capability based on a DevOps methodology to provide Medibank with the right technology, process and people to achieve i...

#120 Natural Language Processing with Catherine Havasi – CEO

Catherine Havasi's dream and mission are to give computers the ability to think about the world more like a person and less like a machine. Equally important is putting this innovation into practice in a way that effects real business outcomes and transforms our everyday lives. Catherine has twenty years of experience in directing and doing cutting edge research, operationalizing it, and using it to drive real results. In this episode, Catherine explains how she started in the data world. ...

#119 Finding Success in Data-Driven Entrepreneurship with Dr. AnnMaria De Mars – President

Dr. AnnMaria has a proven track record in founding successful businesses. 7 Generation Games is her fourth company and a spin-off of her consulting firm, The Julia Group. She was previously the president of R&R Consulting and Vice President of Spirit Lake Consulting, Inc. and is also currently CEO of the Julia Group. Both the Julia Group and Spirit Lake Consulting went on to generate over $1 million in contracts. She has authored grants that have received tens of millions of dollars in fundi...

#118 Smart Tech Meets a Smart Dr’s Passion to Solve Blindness with Andrew Bastawrous – Co-Founder & CEO

#1 in our new Innovation and Entrepreneurship Series, Andrew is an Ophthalmologist (Eye Surgeon) and Associate Professor in International Eye Health at the London School of Hygiene & Tropical Medicine. He has worked and researched in over twenty countries, including two years living in Kenya, where he led a significant eye disease study and the development and testing of Peek. In this episode, Andrew reveals his own story and how he found out about his poor vision. When Andrew got glasses, ...

#117 Driving commercial opportunities at F1 with Max Métral – Senior Analytics Manager

Max Métral is a self-motivated professional with a successful track record in data science and analytics cross-functional roles for worldwide organizations. In this episode, Max dives deep into his background and how he found his interest in data. Read this full episode summary on our website: #117 Driving commercial opportunities with Max Métral  – Senior Analytics Manager Enjoy the show!

#117 Driving commercial opportunities with Max Métral – Senior Analytics Manager

Max Métral is a self-motivated professional with a successful track record in data science and analytics cross-functional roles for worldwide organizations. In this episode, Max dives deep into his background and how he found his interest in data. Read this full episode summary on our website: #117 Driving commercial opportunities with Max Métral  – Senior Analytics Manager Enjoy the show! --- Send in a voice message: https://anchor.fm/datafuturology/message

#116 Navigating The COVID-19 Landscape: Changes For Data Scientists in the Job Market

In this episode, we hear a panel discussion from Stuart Garland- Director of Blink Recruitment and Data Futurology Director & Podcast Host, Felipe Flores. With the current pandemic drastically affecting the Australian Data Science market, it can feel scary and unknown to people who are looking for a new role or career change within the industry. Read this full episode summary on our website: Navigating The COVID-19 Landscape: Changes For Data Scientists in the Job Market Enjoy the show!

#115 AI Ethics with Stephanie Kelley – PhD Candidate in AI Ethics at Queen's University, IEEE Ethically Aligned Design for Finance Working Committee Member

At Queen's University, Stephanie Kelley is a Ph.D. Candidate in Management Analytics at the Smith School of Business. Her research focuses on the ethics of analytics and artificial intelligence in financial services. She uses methods from management analytics and organisational behaviour to understand the causes and prevention methods for AI ethics challenges. Stay tuned as Stephanie discusses measuring ethics, how countries are taking a stance on AI ethics, and why AI ethics are a competit...

#114 Grokking Artificial Intelligence Algorithms with Rishal Hurbans – Solutions Architect

Rishal is a solutions architect at Entelect. Rishal founded Prolific Idea in 2015, where innovation is cultivated through research and technology. Prolific Idea has since launched a collaborative productivity platform, Hivemind, and is currently building a straight-through document processing platform, Viszen.tech. In this episode, Rishal dives deep into his story and explains how he got involved in the tech industry. Read this full episode summary on our website: #114 Grokking Artificial I...

#113 Practices of the Python Pro with Dane Hillard – Author and Lead Web Application Developer

Dane Hillard is a software engineer and web developer interested in education, biotechnology, and open source. Today, he shares about the exciting world of web development and how he started. Dane speaks about the future of web development. Read this full episode summary on our website:  >>> #113 Practices of the Python Pro with Dane Hillard – Author and Lead Web Application Developer Thank you to our sponsor: Fyrebox - Make Your Own Quiz! And as always, we appreciate your Reviews, Foll...

#112 How To Ensure Success In Your Work

Have you ever gone to a meeting to show the outputs of your project, and it goes terribly wrong? When a meeting goes sour, your project gets delayed, or you have to completely restart. If you are meeting with all your stakeholders at once, that is not the real meeting. Instead,  Felipe says to have one-on-one sessions with each of the stakeholders well before the group meeting. This will take more time, but everyone will get dedicated attention. If you do this well before the group meeting, ...

#111 Machine Learning with TensorFlow with Chris Mattmann – Author / Manager, Chief Technology and Innovation Officer

Chris Mattmann is the Deputy Chief Technology and Innovation Officer at NASA Jet Propulsion Lab, where he has been recognised as JPL's first Principal Scientist in the area of Data Science. Chris has applied TensorFlow to challenges he’s faced at NASA, including building an implementation of Google’s Show & Tell algorithm for image captioning using TensorFlow. He contributes to open source as a former Director at the Apache Software Foundation, and teaches graduate courses at USC in Content ...

#110 Explainable AI Methods for Structured Data

During this special episode, Felipe gives a presentation on explainable AI methods for structured data. First, Felipe talks about opening the black box. Algorithms can be both sexist and racist, even at massive companies like Google and Amazon. Removing bias in AI is a difficult problem. However, there are ways to overcome it. Where does the bias come from? The dirty secret is that the data is biased. The algorithm doesn’t decide to be biased, it learns to be biased from the data. In reality...

#109 Programming, Bioinformatics and the Future of Computer Programming with Ken Youens Clark – Senior Scientific Programmer

Ken is a senior-level programmer with over 23 years of experience developing software in industry and research environments. Ken is a self-taught computer programmer, software engineer, hacker and teacher. What started off as developing websites in the early 90’s turned into an extensive and fruitful career in bioinformatics and eventually teaching and mentorship. Ken is also the author of Tiny Python Projects published by Manning Publications. Enjoy the show! We speak about: [00:30] Abou...

#109 Programming, Bioinformatics and the Future of Computer Programming with Ken Youens-Clark – Senior Scientific Programmer

Ken is a senior-level programmer with over 23 years of experience developing software in industry and research environments. Ken is a self-taught computer programmer, software engineer, hacker and teacher. What started off as developing websites in the early 90’s turned into an extensive and fruitful career in bioinformatics and eventually teaching and mentorship. Ken is also the author of Tiny Python Projects published by Manning Publications. Enjoy the show! We speak about: [00:30] Abou...

#108 Should I Become More Technical or Business Focused in my Data Science Career?

If you are trying to choose what skills you should build as part of your career, no single answer fits everyone. It depends on your strengths and ambitions. Your strengths are the things you are naturally good at. If you're not sure what your strengths are, then think about the things that people come and ask you about. When someone asks you how you do something, most likely that is one of your strengths. Also, think about where you want to end up in your career. For instance, if you're goi...

#107 Developing New Products Using Machine Learning with Max Sklar - Engineering and Innovation Labs Advisor and Podcast Host

The Local Maximum is hosted and produced by Max Sklar. Max is a software engineer and new product developer by trade, with a focus on machine learning, Bayesian inference, content discovery, and prototyping. The bulk of his work as a machine learning engineer was at Foursquare, where he built Foursquare City Guide’s critically acclaimed 10-point venue rating system and the Marsbot app. More recently, he led the development of a causality model for Foursquare’s Ad Attribution product and now ...

#106 Leveraging Machine Learning and NLP for Conversational AI

Today, Felipe has a few guests at the Data Science Melbourne Meet-Up Group. Former guest Prashant Natarajan and Romina Sharifpour share about their work with conversational AI. Later, Nic Ryan shares his story and tips for getting started in data science. Prashant starts by giving some background on the development and basics of NLP. We have made progress with deep learning and bringing machines closer to understanding human language, but it isn’t easy. Humans have a hard enough time unders...

#106 Leveraging Machine Learning and NLP for Conventional AI

Today, Felipe has a few guests at the Data Science Melbourne Meet-Up Group. Former guest Prashant Natarajan and Romina Sharifpour share about their work with conventional AI. Later, Nic Ryan shares his story and tips for getting started in data science. Prashant starts by giving some background on the development and basics of NLP. We have made progress with deep learning and bringing machines closer to understanding human language, but it isn’t easy. Humans have a hard enough time understa...

#105 Data Analytics and Marketing with Andrea Ahlemeyer-Stubbe - Director Strategic Analytics and Author

Andrea draws on the wealth of experience gained from her long-standing commitment in the industry, specifically in the areas of Business Intelligence, Data Mining, and Data Warehousing. She studied at the Universities of Dortmund and Sheffield and graduated with a master’s degree in statistics (University Dortmund). In 1999 Andrea branched out to form her own consulting firm rendering personalized services (Business Intelligence, DBM, CRM, and Marketing Services).In April 2012, she took on t...

#104 Artificial Intelligence in Retail

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 off of 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...

#103 Advancing Artificial Intelligence with Alberto Roldan - Chief Designer and Artificial Intelligence Officer

Alberto is an analytics executive with hands-on experience in big data analytics strategy, business development, sales, strategic partnerships, IoT, AI, predictive modeling, product design and development, and solution delivery by interacting with executives at the CXO level, acting as a trusted advisor to Fortune 500 companies, and leading data scientists and IT teams. In this episode, Alberto dives deep into his background and explains how he started in the data world. It’s Alberto’s role...

#102 Analytics in the FMCG Space

Today, industry experts participate in a discussion around analytics in the Fast-Moving Consumer Goods Space (FMCG). We open with a discussion of how millennial preferences have completely changed the FMCG market. Millennials are not typically drawn to one big brand; rather, they are more drawn to hyper localization; everyone wants a personalized product. Additionally, 40% of Millennials check online before even going into a store. All of this has significant implications for the FMCG field....

#101 Intro to Data Science

Today Felipe gives us a brief but holistic introduction into Data Science. We discuss myths, Felipe’s journey into the data science world, and demystify some of the field's elements. When Felipe started his career, he did not know anything about data science but found himself in the area of machine learning at the Australia New Zealand Banking Group (ANZ). Eventually, Felipe found himself pioneering the first data-driven strategy at ANZ. We learn that one of the biggest myths about data sci...

#100 How To Stand Out in the Data Science Industry

In this episode, Felipe reflects on the past year with Data Futurology. One of the key themes is organizational outcomes. There is a difference between what people find interesting in the data science role and what organizations need from their data scientists. Organizations want to make better decisions based on data. However, data scientists like playing with shiny new toys and using the latest technology. People think about leaving their jobs because it feels like they have used all the t...

#99 Utilizing a High-Performance Analytics Database with Irina Farooq – Chief Product Officer

Irina is Chief Product Officer for Kinetica. Irina has over a decade of product management experience across a variety of sectors, including enterprise software, networking, hardware, IoT, SaaS, and Cloud. Irina joins Kinetica from Riverbed Technology, where she held a variety of leadership roles including Vice President of Products and Strategy for the Service Provider Business and Vice President of Product Management for Steelhead, Riverbed's flagship product. Enjoy the show! We speak ab...

#98 My Value

During this episode, Felipe talks about how to find and double down on your strengths. Instead of working on your weaknesses, Felipe says that we should do more of what we are already good at. Spend more time thinking about the things that you are talented in. Felipe is good at going and helping teams. Eventually, he makes himself redundant by doing these three things: 1. Sharing knowledge openly, quickly, and effectively. 2. Create a system that is self-organizing and self-sustaining. 3....

#97 Productionising Machine Learning Models with Terence Siganakis – CEO, Data Scientist, Software Engineer and Bioinformatician

Terence is a data scientist, software engineer and bioinformatician with over a 15 years of experience working on software solutions to big data related problems in industries as diverse as finance & investment banking, construction, manufacturing, healthcare and retail sectors. Terence is the CEO of Growing Data, a Melbourne based Data Science and Data Engineering consultancy, working with clients such as ANZ, CSL, Metricon and the Victorian Government. Enjoy the show! We speak about: [0...

#96 What Data Science and AI Can Do For Your Business

During this special episode, Felipe gives a presentation on what data science can do for business. The CEOs in the audience were from all sorts of industries with companies of different sizes in various stages. Business leaders can use AI to offer new solutions to their customers. Felipe explains machine learning – humans give the input and the output. The machine will do the calculations in-between the input and the output. We can automate a lot of processes using machine learning – it can ...

#95 Enabling‌ ‌the‌ ‌Power‌ ‌of‌ ‌Data‌ ‌to‌ ‌Support‌ ‌Care‌ ‌Initiatives‌ ‌with‌ ‌Leigh‌ ‌McCormack‌ ‌-‌ ‌ Healthcare‌ ‌Analytics‌ ‌Evangelist‌ ‌and‌ ‌Chief‌ ‌Executive‌ ‌Officer‌

Leigh McCormack is a thought leader with 10+ years of experience in developing and applying analytical solutions to complex healthcare problems. She has a deep understanding of data science concepts, methods, and technologies and how to appropriately apply each to accurately and creatively meet objectives. Leigh also has experience building analytic and technical teams from their genesis, through organizational design, and into maturation to the point of demonstrable business value. Leigh is...

#94 ATO (Australian Taxation Office) Questions

During this special episode, Felipe joins a panel at the Australian Taxation Office. Felipe speaks on four main topics: Improvements in the data industry. Felipe’s views on privacy. Quantum computing and how it will affect machine learning. New developments on AI and how they are impacting jobs. So much of the analytic work we do is to benefit the organization. How do you also ensure data analytics are helping the customer? It needs to be done in a way that is presenting meaningful insi...

#93 Making Analytics Matter For Your Customers

During this special episode, Felipe speaks at the IAPA National Conference. His presentation focuses on making analytics matter for your customers. More specifically, Felipe speaks on these topics: About organizations making a mindset shift. How analytics professionals can leverage the work they do. The ways we can add value to the end customer. Many companies claim they put customers first, but how do they show it? Companies have heaps of data on their customers. The next wave of compan...

#92 People Management, Seeking Feedback, and Navigating Office Politics in Data Science with Barrett Hasseldine – Head of Modelling

Barrett Hasseldine has held several leadership roles within the field of Data Science / Analytics. With a BSc majoring in Mathematics and an MBA, he is passionate about bringing mathematics and business closer together. In particular, he loves converting business problems to math problems, guiding analysts to solve the math, then converting the mathematical solution into a set of business actions that drive quantifiable business value. During his career, he has delivered analytic solutions i...

#91 Researching the Social Impacts of Technology and Artificial Intelligence with Mary L. Gray – Senior Principal Researcher, Author, and Professor

Mary L. Gray is a Senior Principal Researcher at Microsoft Research as well as an E.J. Safra Center for Ethics Fellow and Berkman Klein Center for Internet and Society Faculty Affiliate at Harvard University. Mary also maintains a faculty position in the School of Informatics, Computing, and Engineering with affiliations in Anthropology and Gender Studies at Indiana University. Mary, an anthropologist and media scholar by training, focuses on how everyday uses of technologies transform peopl...

#90 Solving Master Data Challenges for Large Global Enterprises with Scott Taylor – Data Whisperer & Principal Consultant

Scott is a firm believer in “making your data do the work,” and he has enlightened countless business executives to the value of proper data management by focusing on the strategic rationale and business alignment rather than technical implementation and system integration. Scott is more of the strategic WHY than the technical HOW. He has spent over two decades guiding Tech Brand owners to leverage their reference data and taxonomy assets. In a variety of strategic marketing, GTM, innovation...

#89 Starting an AI Company After Building Six Other Businesses with Emrah Gultekin – Co-Founder and CEO

Emrah Gultekin is the co-founder and CEO of Chooch. Chooch AI is a complete visual AI platform with an API, a dashboard, and a mobile SDK. Combining computer vision training with machine learning, Chooch offers object recognition and facial authentication, with autonomous labeling, data collection, neural network selection, and more. Chooch is used in the media, advertising, banking, medical, and security industries. Enjoy the show! We speak about: [00:30] How Emrah started in the world o...

#88 Data Science Consulting from Home with Nic Ryan – Founder & Data Scientist

Nic originally trained as an actuary through the University of NSW, Australia. After a few years he found himself naturally being pulled towards data science through his passion for data and statistics. He gave in and made the switch to data science many years ago and has never looked back! Nic has worked in just about every role you can think of in a data science team, from excited newbie to quickly managing 3 teams across 2 countries. Because of his unique beginnings, Nic has had the oppor...

#87 Putting Your Data Lake to Work with Tomer Shiran – Co-Founder and CEO

Tomer Shiran is the Co-Founder and CEO of Dremio, Dremio is the Data-as-a-Service Platform company. Created by veterans of open source and big data technologies, and the creators of Apache Arrow, Dremio is a fundamentally new approach to data analytics that helps companies get more value from their data, faster. Dremio makes data engineering teams more productive and data consumers more self-sufficient. Tomer Shiran previously headed the product management team at MapR and was responsible fo...

#86 How Artificial Intelligence will Change the World with Lasse Rouhiainen – Best-Selling Author and International Expert on Artificial Intelligence

Lasse Rouhiainen is a best-selling author and international expert on artificial intelligence, disruptive technologies, and digital marketing. Finnish in origin but based in Spain, Lasse focuses his work on investigating how companies and society, in general, can better adapt to, and benefit from, artificial intelligence. Lasse has given keynote presentations, seminars, and workshops in more than 16 countries around the world and holds frequent conferences at several universities internation...

#85 The Impact of Technology on Society with Ian Oppermann – Chief Data Scientist and CEO

Dr. Ian Oppermann is the NSW Government’s Chief Data Scientist and CEO of the NSW Data Analytics Centre. Ian has 27 years’ experience in the ICT sector and, has led organizations with more than 300 people, delivering products and outcomes that have impacted hundreds of millions of people globally. He has held senior management roles in Europe and Australia as Director for Radio Access Performance at Nokia, Global Head of Sales Partnering (network software) at Nokia Siemens Networks, and then...

#84 12 AI Trends Leaders Should Capitalise in 2020

In this episode, Felipe runs through 12 trends he has noticed developing in AI. The sector field is in a constant state of change and is become more and more integrated into fields outside the data space. Felipe reminds us that through this development it has become exceedingly clear that data is our most precious asset. We need to treat data carefully and prioritize traceability and maintain high-quality data. Felipe also notes that while we begin to rely heavily on AI we must also be mindf...

#83 Using Language to Build Relationships in Data Science with David Thomas – Chief Data and Analytics Officer

David Thomas is an executive with significant experience in strategy, data & analytics, and multiple functions that enable organisations. Since 2016, he has been responsible for BNZ's Information Strategy, establishing a market-leading position with a strategy to deliver actionable insight and enhance customer experiences. Change has been a reoccurring theme of his career, including business turnaround, transformation, the introduction of new competencies / operating models, and to enable gr...

#83 The Chief Data and Analytics Officer Role (CDAO) with David Thomas – Data Analytics Executive

David Thomas is an executive with significant experience in strategy, data & analytics, and multiple functions that enable organisations. Since 2016, he has been responsible for BNZ's Information Strategy, establishing a market-leading position with a strategy to deliver actionable insight and enhance customer experiences. Change has been a reoccurring theme of his career, including business turnaround, transformation, the introduction of new competencies / operating models, and to enable gr...

Data Futurology - Data Science, Analytics, Machine Learning and Artificial Intelligence For Leaders (Trailer)

--- Send in a voice message: https://anchor.fm/datafuturology/message

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