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

By Felipe FloresTechnology

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

May 22, 2020#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, then you will have time to adjust your work. Overall, this will help your stakeholders be more bonded to your project and eventually turn the odds in your favor.
Another way to ensure success in your work is by having regular working sessions with your stakeholders. They are working sessions, so you need to be vulnerable and show what you are up to. Make sure the stakeholders know that their input and concerns have gone into your work. This will help develop strong relationships with your stakeholders, and your work will have more impact. Plus, if and when something goes wrong, your stakeholders will be on your side and will likely help you solve it.
Enjoy the show!

We speak about:
[01:30] Why you should have one-on-one meetings with your stakeholders

[02:50] Create ongoing and regular update meetings with your stakeholders

[05:40] How your stakeholders will help you solve problems
Quotes:
“Take your stakeholder’s feedback and improve the project.”

“Give each stakeholder dedicated time.”

“The group meeting is not the real meeting.”

Thank you to our sponsor:
Fyrebox - Make Your Own Quiz!

And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. Thank you so much for listening. Enjoy the show!
9 min
May 19, 2020#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 Detection and Analysis, and in Search Engines and Information Retrieval.
Enjoy the show!

We speak about:
[00:30] About Chris Mattmann

[02:30] How Chris started in the data space

[08:15] The transition to management

[10:00] How does IT navigate different life cycles of people?

[12:35] What’s an example of a bottom-up project?

[15:10] How have you seen the importance of machine learning rise?

[17:20] Do you have large amounts of data?

[21:25] What are the hardware challenges of space?

[24:45] About Machine Learning with TensorFlow, Second Edition

[30:00] About the Hidden Markov model

[34:10] What kept you going through the first edition?

[35:40] Why is TensorFlow your favorite framework?

[39:00] How do you find time to write?

[39:30] What other activities do you do for the community?

[41:20] What are you working on at the moment?

Resources:
Chris’s LinkedIn: https://www.linkedin.com/in/chrismattmann/
NASA Jet Propulsion Laboratory on LinkedIn: https://www.linkedin.com/company/jet-propulsion-laboratory/
Chris’s Twitter: https://twitter.com/chrismattmann
Machine Learning with TensorFlow, Second Edition (For 40% off use code poddatafuturology19).
Check out other books from Manning Publications, use code poddatafuturology19 for a 40% discount.

Quotes:
“TensorFlow is everything you need to know about machine learning.”
“The thing that kept me going was the realization that AI was the future.”
“Python is the data science framework nowadays.”
“I see the future.”

Thank you to our sponsors:
We are RUBIX. - one of Australia’s leading pure data consulting companies delivering project outcomes for some of the world’s leading brands.
Fyrebox - Make Your Own Quiz!

And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. Thank you so much for listening. Enjoy the show!
47 min
May 15, 2020 #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, AI puts a mirror on society. We have inherent sexism and racism in our society. AI is a tool that will help us eradicate these underlying issues in society. No one should be attacking the people that made the algorithms.
The data is a representation of the world. We use the explainable methods to interpret what is happening in the algorithms. Explainable methods include explainable algorithms and unexplainable algorithms. When we come across an unexplainable algorithm, we can hit them with a framework and try to make them more explainable. Then, Felipe explains decision trees using the Titanic. Start with a list of all the people who boarded the ship, then separate them by gender. Next, you can use your clear rules to find which passengers survived. The model will give you a good summary of all the data depending on the rules.
Felipe would come across people who said predictable algorithms need to be 99% accurate, or they are garbage. However, if you are predicting how a person will behave, the accuracy will be lower because no one can predict how someone will act. Then, Felipe explains LIME: Local Interpretable Model-Agnostic Explanations. Regardless of the approach, you can use LIME to understand the predictions of an individual person. Stay tuned as Felipe explains the random forest.
Enjoy the show!

We speak about:
[02:10] About Felipe
[04:00] Opening the black box
[07:20] Where does the bias come from?
[11:20] Making more transparent algorithms
[17:00] About decision trees
[19:45] Using interpretable models
[22:20] About LIME: Local Interpretable Model-Agnostic Explanations
[30:10] How to use a random forest

Resources:
#70 Making Black Box Models Explainable With Christoph Molnar – Interpretable Machine Learning Researcher

Quotes:
“The data represents the way that the world works.”
“With the rise of AI, we can choose how we want the world to be.”
“Sometimes, we have algorithms that are just 52% accurate.”

Thank you to our sponsors:
Fyrebox - Make Your Own Quiz!
We are RUBIX. - one of Australia’s leading pure data consulting companies delivering project outcomes for some of the world’s leading brands.

And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. Thank you so much for listening. Enjoy the show!

38 min
May 12, 2020#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] About Ken Youens Clark

[02:00] Ken’s Work and COVID-19

[03:15] How did you get into the bioinformatics field?

[13:00] Ken’s first job in bioinformatics

[25:20] How did the design of your book come about?

[35:30] How did you keep going despite your frustration with the technology available in early computer programming?

[40:35] What are your thoughts on hard coding and data processing?

[46:00] What will your next book be about?
Resources:
Ken’s LinkedIn: https://www.linkedin.com/in/kycl4rk/
Tiny Python Projects (For 40% off use code poddatafuturology19).
Check out other books from Manning Publications, use code poddatafuturology19 for a 40% discount.

Quotes:
“[After COVID-19], the first thing I had to do was become a YouTuber.”

“I’m hoping that anyone who is stuck at home right now can watch my lectures, go through the materials, and teach themselves python at home for free.”

“That’s all computing is, transforming one thing into another.”

“How did you get into that field?”, “A completely random series of mistakes and not knowing what I’m doing”

“Anything that [my boss] asked me to do he could have done in half the time and twice as good, but he had the patience to wait for me to catch up”

“I fell in love with programming - I was like finally I’ve figured out something that’s interesting, that I truly enjoy doing”

“What I see over and over again, especially in science, especially with novice programmers is that everything about the program is hard-coded“

“I haven’t touched a windows computer … since 1999”

“[in science/academia] no one teaches programming … you just generally kinda figure it out along the way”

“I think people should be taught the basics of command lines; piping, redirecting, those basic kinds of things"

Thank you to our sponsors:
Fyrebox - Make Your Own Quiz!
We are RUBIX. - one of Australia’s leading pure data consulting companies delivering project outcomes for some of the world’s leading brands.
Visit online.rmit.edu.au for more information

And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. Thank you so much for listening. Enjoy the show!
55 min
May 08, 2020#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 going to become a manager, find a way to be a leader on a project and develop your soft influence. Hard influence is something that comes from authority. Whereas soft influence is something that we can build upon. Find a way to lead a project among your peers. Taking the lead will allow you to practice your influence, leadership, and management skills. A group of people will follow the person with an organized and well-thought-out plan; be that person!
Another tip - do not be the person that blindly follows what they enjoy; it's not a strategic way to go about crafting your career. Felipe has seen people have a successful career doing work that they enjoy. However, they will eventually lose their love for it. Plus, if you only follow what you enjoy, then you run the risk of getting pigeonholed in an area that may not have future growth. Also, it might be an area that loses demand and importance; it can make your skills irrelevant.
At the end of the day, we need generalists. Companies need people who are knowledgeable in the end to end process. As an industry, data scientists are in high demand. Plus, they need people who have a mix of skills. There are always more roles being added because the industry is starting to understand that a great deal of knowledge is required to build a successful data science team.
Enjoy the show!

We speak about:
[01:15] Think about where you want your career to go

[03:40] Do not follow what you enjoy

[06:25] Why we need generalists
Quotes:
“Think broadly about what will be needed in the future.”

“Overall, the wider you can cast your net when it comes to interests, the better.”

“I recommend that you become a generalist if you want to move up.”

Thank you to our sponsors:
Fyrebox - Make Your Own Quiz!
RMIT Online Master of Data Science Strategy and Leadership
Gain the advanced strategic, leadership and data science capabilities required to influence executive leadership teams and deliver organization-wide solutions.
We are RUBIX. - one of Australia’s leading pure data consulting companies delivering project outcomes for some of the world’s leading brands.
Visit online.rmit.edu.au for more information

And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. Thank you so much for listening. Enjoy the show!
12 min
May 05, 2020#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 works at Foursquare’s innovation lab.
Enjoy the show!
We speak about:
[00:30] About Max Sklar

[02:00] How did you get into the world of data?

[06:05] About the recommender system at Foursquare

[10:15] Why do you like solving open-ended problems?

[12:20] How has your new role been?

[14:20] What are the benefits of staying at a company for a long period of time?

[16:30] About Marsbot

[20:00] About the attribution side of Foursquare

[26:40] How do you pick the innovations you are going to try?

[28:50] How does the monthly pitch day work?

[31:20] About Local Max Radio
Resources:
Podcast: https://www.localmaxradio.com/
LinkedIn: https://www.linkedin.com/in/max-sklar-b638464/
Facebook: https://www.facebook.com/localmaxradio/
Twitter: https://twitter.com/maxsklar
Marsbot: https://marsbotapp.com
Foursquare: https://foursquare.com
Quotes:
“Try a few ways and see what works.”

“I am looking forward to seeing what kind of trouble people cause.”

“I focus on making a splash on pushing forward technology.”

“Getting things to work that no one has necessarily tried before - that no one in our company has tried before.”

“It's tough to describe probability functions to end clients, it's always good to have that on your side”.

Thank you to our sponsors:
Fyrebox - Make Your Own Quiz!
RMIT Online Master of Data Science Strategy and Leadership
Gain the advanced strategic, leadership and data science capabilities required to influence executive leadership teams and deliver organization-wide solutions.
We are RUBIX. - one of Australia’s leading pure data consulting companies delivering project outcomes for some of the world’s leading brands.
Visit online.rmit.edu.au for more information
And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. Thank you so much for listening. Enjoy the show!
39 min
May 01, 2020#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 understanding each other. What we are asking machines to do is analyze tone, find nouns, and recognize different languages. We already have things like voice to text and smart speakers, but NLP's ultimate goal is for a bot to have a conversation. True NLP is a combination of natural language understanding and language generation.
Enjoy the show!

We speak about:
[00:10] Introduction & welcome guests

[06:45] Basics of NLP & customer service

[17:45] Cleaning data and data processing

[27:30] Key takeaways from an NLP conventional AI project

[42:20] Q&A with Romina and Prashant

[51:50] Meet Nic Ryan

[53:50] Nic’s start in data science

[75:00] Nic’s tips and lessons learned

[80:00] The future of machine learning
Resources:
Data Science Melbourne Meet-Up Group
Prashant Natarajan on LinkedIn
Romina Sharifpour on LinkedIn
Nic Ryan on LinkedIn
Check out books from Manning Publications, use code poddatafuturology19 for a 40% discount.

Quotes:
“When you ask computers to do NLP you are asking them to do something that is the holy grail of machine learning.”

“If we don’t make the human's job easier by using NLP then we have to ask ourselves, what the heck are we doing?”

“You have to think about what your audience wants, not just what you are interested in”

“Consulting is like dating, you meet a lot of people, and there’s a lot of rejection.”

Thank you to our sponsors:
Fyrebox - Make Your Own Quiz!
RMIT Online Master of Data Science Strategy and Leadership
Gain the advanced strategic, leadership and data science capabilities required to influence executive leadership teams and deliver organization-wide solutions.
We are RUBIX. - one of Australia’s leading pure data consulting companies delivering project outcomes for some of the world’s leading brands.
Visit online.rmit.edu.au for more information

And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. Thank you so much for listening. Enjoy the show!
1 hr 40 min
April 28, 2020#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 the role of director strategic analytics, Draftfcb München GmbH, part of IPG Group, now HackerAgency. Andrea’s profound know-how meets the needs of national and international key players in various markets and makes her a frequent lecturer at several universities as well as a well-known speaker at professional conferences. In addition, she is a noted author of two books about data and business.

Enjoy the show!

We speak about:
[00:10] About Andrea Ahlemeyer-Stubbe

[02:25] How did you get started in the world of data?

[04:00] How has the rise of data and statistics impacted your career?

[08:45] Is marketing and analytics something you fell into? Or did you choose to pursue it intentionally?

[12:10] What holds people back from trusting data?

[15:00] Case Study

[21:30] What led you to make the jump to business owner?

[26:40] Tell us about your work in China, Japan, and the US

[29:45] What surprised you when you started your own business?

[32:00] Tell us about your books

[40:50] What led you to write your books?

[42:30] What advice do you have for listeners in the data analytics space?
Resources:
Andreas’s LinkedIn: https://www.linkedin.com/in/andreaahlemeyerstubbe/
Monetizing Data: https://www.amazon.com/Monetising-Data-Uplift-Your-Business/dp/1119125138
Practical Guide to Data Mining: https://www.amazon.com/Practical-Guide-Mining-Business-Industry/dp/1119977134

Quotes:
“That data you use for prediction should be similar to the data situation where it will be used.”

“If people are involved, and you need a decision, it's never done in 5 minutes.”

“It’s not just being an expert; it’s clear you have to be that, but being seen as an expert”

“Sell your work; they aren’t really interested in the beautiful nice methods.”

Thank you to our sponsors:
Fyrebox - Make Your Own Quiz!
RMIT Online Master of Data Science Strategy and Leadership
Gain the advanced strategic, leadership and data science capabilities required to influence executive leadership teams and deliver organization-wide solutions.
We are RUBIX. - one of Australia’s leading pure data consulting companies delivering project outcomes for some of the world’s leading brands.
Visit online.rmit.edu.au for more information

And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. Thank you so much for listening. Enjoy the show!
47 min
April 24, 2020#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 sound. Visual search and recommendations are hot and on the rise right now.
Free shipping and free returns are hurting companies. People are buying multiple items with free shipping and then returning it. As a result, the retailer is paying for transport on both ends. Retailers are struggling with this model. However, free shipping is something that consumers are looking for. So, brands are offering a subscription model or a rental model. Sometimes, a combined subscription and rental model. More and more companies are offering clothing rentals.
Next, Felipe explains what to expect in retail. Automated stores are popping up in the United States from Amazon. You pick what you want in the store; then, you walk out without having to see a cashier. With advancements in AI, the movements of customers can be tracked in retail stores. Voice assistance is also something you can expect to see in the future of retail, like ordering something using an Alexa. Stay tuned as Felipe speaks about the basics of AI in retail.
Enjoy the show!

We speak about:
[00:50] What’s hot in retail right now

[04:35] The future of retail

[07:30] The basics of AI in retail
Quotes:
Humans can process images way faster than text and they carry so much more information than sound. We can process images in about 13 milliseconds and it’s something that is 60,000 times faster than the equivalent in other mediums. So visual search and recommendations as a result of that search - that is hot right now and on the rise!

Once you get past 20% market share or penetration then you start hitting the mainstream and that’s when the product has fast adoption.

What we find is that today’s convenience is tomorrow’s friction.

Thank you to our sponsors:
Fyrebox - Make Your Own Quiz!
RMIT Online Master of Data Science Strategy and Leadership
Gain the advanced strategic, leadership and data science capabilities required to influence executive leadership teams and deliver organization-wide solutions.
We are RUBIX. - one of Australia’s leading pure data consulting companies delivering project outcomes for some of the world’s leading brands.
Visit online.rmit.edu.au for more information

And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. Thank you so much for listening. Enjoy the show!
12 min
April 21, 2020#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 to advance artificial intelligence in any way possible. He has the skill to put things together from different places. When his parents died, Alberto realized he had a responsibility to use his experience to better other people’s lives. Struggle, doubt, and fear is part of life. However, we need to keep moving forward with artificial intelligence. Alberto has been able to talk to young people about artificial intelligence. He is fascinated with all conversations and curious about everything.
Enjoy the show!

We speak about:
[00:30] About Alberto Roldan

[05:20] Why did you pursue law first?

[07:30] How do you fuse so many different technologies?

[08:40] What led you to your mission?

[11:00] What lessons have you learned on your mission?

[15:00] How does AI affect us?

[20:45] Should companies encourage creativity?

[25:15] How will AI merge with consciousness?

[28:35] What would you like to see happen with AI?
Resources:
Alberto’s LinkedIn: https://www.linkedin.com/in/alberto-roldan-4571ba3/
Quotes:
“People need to take responsibility to find what is real.”

“Have empathy for those who are less fortunate for you.”

“Let love and empathy guide us.”

“I became used to look[ing] at the world as frequencies, not just binaries”

I'm curious about everything

“I think that in our busyness of our daily lives that we all have, we really should take time think of how these changes are affecting us instead of riding the wave”

Thank you to our sponsors:
Fyrebox - Make Your Own Quiz!
RMIT Online Master of Data Science Strategy and Leadership
Gain the advanced strategic, leadership and data science capabilities required to influence executive leadership teams and deliver organisation-wide solutions.
We are RUBIX. - one of Australia’s leading pure data consulting companies delivering project outcomes for some of the world’s leading brands.
Visit online.rmit.edu.au for more information

And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. Thank you so much for listening. Enjoy the show!
32 min

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

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Artificial intelligence is a tremendously beneficial technology that's advancing at an incredibly rapid pace.

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

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

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