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

January 28, 2020 Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science (Trailer)
1 min
December 17, 2019#82 Why Nonprofits Need to Implement Data Science with Dr Beverly Wright – Analytics Officer, Speaker, & Podcast Host
Beverly has spent over twenty-five years leading and executing Marketing Analytics and Modeling through corporate, consulting, and academic experience. She leads the Data Science Practice for RelationalAI for Atlanta, and serves several companies with data science strategy, insights, solutions, and training. In her role heading Georgia Tech's Business Analytics Center, Beverly managed business community engagements, as well as student experience aspects of the Center. Beverly earned a PhD in Marketing Science, a Master of Science degree in Analytical Methods, and a Bachelor of Business Administration degree in Decision Sciences.
Enjoy the show!
We speak about:
[03:15] How Beverly started in the data space

[04:30] Should you get experience before getting a PhD?

[06:50] Beverly’s career path

[08:35] When did you start each project you’ve been working on?

[09:00] What surprises you the most about the nonprofit sector?

[10:00] How was the process of starting a nonprofit?

[11:55] What is the recruiting process for your nonprofit?

[13:40] How did you get started with a podcast?

[16:40] How has the experience been with podcast interviews?

[17:50] How executive education has been for Beverly

[19:00] How do you describe the data journey for executives?

[21:30] What about the golden gut?

[23:30] Advice for changing workplace culture to embrace data

[25:20] Do some executives want data to make all their decisions?

[27:00] About Beverly’s consulting work

[29:30] What type of industries have you been working with?

[33:00] What makes a good strategy?

[36:00] About the enablement pillar

[31:40] About the impact pillar

[46:00] What are your views on where data access is going?

[48:20] How has collaboration benefited your work?

[51:00] What would you say to people who are afraid of the amount of demand they will get for connecting with people too early?

[52:45] Beverly’s thoughts on diversity in data science

[57:00] How did you develop your communication skills?

[59:30] How do you improve your communication skills?

[62:30] What is your advice for people just starting in this space?
Resources:
Beverly’s LinkedIn: https://www.linkedin.com/in/drbeverlywright/
Beverly’s Twitter: https://twitter.com/drbdub?lang=en
Beverly’s Podcast: https://tagdsa.org/tag-data-talk/
RelationalAI: https://www.relational.ai/
ATLytiCS: https://www.meetup.com/ATLytiCS-Analytics-For-Good/

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.
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 9 min
December 10, 2019 #81 Emotional Intelligence For Better Data Science with Felipe Flores – Founder & Podcast Host
In this episode, Felipe spends time discussing empathy as the core of human relationships. Felipe believes to be a leader in the data science space; half is deeply rooted in the people side. Having empathy is the crucial first step to building relationships with stakeholders. Our stakeholders are scared; today data science is math heavy and dominating the business side of operations. The discipline of data science is taking over organizations and trying to tell people what to do. Enabling people to make better decisions, automating work, and uncovering opportunities are goals of data science. However, stakeholders may not understand the complicated methods of data science and will feel incompetent about this new method of solving problems.
Building relationships with stakeholders will require the data scientist to meet people where they are. These conversations will allow each party to gain knowledge from the other and use it to give back to the business. Instead of starting with the steps you took to get the results, start with the objective and give something people can get excited for. Then, go to the punchline and say how you improved and present them with the outcome. Lastly, provide a few details about the process and wait to see if the audience has more questions, or if they are happy with the result.
Enjoy the show!
We speak about:
[03:05] Empathy: people are scared
[08:00] Outcome: meet the stakeholders where they are
[12:00] Communication: taking stakeholders through the process
Quotes:
“As data scientists, we need to be empathic, non-judgmental, and be able to work with people that have complementary skills.”
“The sooner you can get rid of the judgment, the sooner you can make a difference in more people’s lives.”
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.
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!
19 min
December 04, 2019#80 Rising Through the Ranks in Data Science with Nufar Gaspar – Data Science Vertical Manager
Nufar Gaspar is a Data Science Vertical Manager at Intel focusing on creating a machine learning and big data solutions for the various R&D teams at Intel. The teams in her vertical create a vast range of data-science solutions on Hadoop and Spark-based platforms. The range of their solutions spans running algorithms to compile test lists to optimize resource consumption vs. test quality; solutions for finding hidden CPU bugs; through adv. methods to automate debug process and more. They use a variety of data science techniques from "classical" machine learning and pattern recognition techniques, through optimization & NLP techniques to deep learning and reinforcement learning, and more. Her organization includes teams of data scientists, big data SW developers, and AI specialist's product managers and analysts.
Enjoy the show!

We speak about:
[02:00] How Nufar started in the data space

[10:30] Nufar began to train new engineers

[21:50] Focusing on bringing solutions to production

[24:20] How Nufar picks what to work on

[27:15] Putting algorithms inside Intel’s products

[32:00] The infrastructure behind Intel’s machine learning

[40:30] Returning to work after maternity leave

[43:30] Women in Big Data

[47:50] What excites Nufar most about data science

[49:30] Advice for listeners
Resources:
Nufar’s LinkedIn: https://www.linkedin.com/in/nufar-gaspar-76b7424b/
Nufar’s Talk: https://www.youtube.com/watch?v=cx_2wAP40-g
Women in Big Data: https://www.womeninbigdata.org

Quotes:
“You have to understand the different business processes.”

“We are doing a complete business process redesign from scratch.”

“For us to maintain our leadership position in AI, we have to continue running as fast as possible.”

“Before I left for maternity leave, I had to negotiate with my managers to determine what position I would have when I return.”

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.
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!
53 min
November 26, 2019 #79 Pursuing a PhD with an Established Data Science Career with Dr Mark van Rijmenam – Founder
Dr. Mark van Rijmenam is the Founder of Datafloq. He is a highly sought-after international public speaker, a Big Data and Blockchain strategist and author of the best-selling book Think Bigger - Developing a Successful Big Data Strategy for Your Business. He is the co-author of the book Blockchain: Transforming Your Business and Our World, which details how blockchain can be used for social good. His third book, The Organisation of Tomorrow, will be published in Q2 2019. He is named a global top 10 Big Data influencer and one of the most influential Blockchain people. He holds a PhD in Management from the University of Technology, Sydney. His research was on how organisations should deal with big data analytics, Blockchain, and AI. He is the publisher of the ‘f(x) = ex‘ newsletter read by thousands of executives.
Enjoy the show!
We speak about:
[01:50] How Mark started in the data space
[02:40] What made you change from being a consultant to an entrepreneur?
[05:50] How has the data space evolved since you began?
[06:55] How do organisations become data-driven?
[08:20] How was getting a PhD after establishing a career?
[09:00] Do you recommend people go back and get a PhD once they have established a career?
[10:20] Do you recommend companies take small steps or significant steps when becoming data-driven?
[12:40] Do you have examples of automating customer service?
[14:45] What are the key barriers holding companies back from becoming data-driven?
[16:00] Are employees excited about becoming data-driven?
[18:40] Why is blockchain challenging to bring into reality for supply chains?
[24:50] How did you manage your time while pursuing your PhD and working?
[27:25] Mark’s inspiration behind Datafloq
[30:55] What are your views on privacy and data?
[34:15] What are you most proud of?
[35:00] What excites you most about this field?
[35:55] Do you have any failures that helped you learn?
[37:10] What are the challenges in the data space?
[39:15] How do you decide what to work on?
[43:00] How have you learned to handle the lows in entrepreneurship?
[43:50] Do you have any advice for our listeners?
Thank you to our sponsors:
Fyrebox - Make Your Own Quiz!
RMIT Online Master of Data Science Strategy and Leadership
Visit online.rmit.edu.au for more information
Thank you so much for listening!
48 min
November 19, 2019#78 Data Transparency to Build Consumer Trust with Tony Ohlsson – Managing Partner & Chief Analytics Officer
Tony believes that analytic innovation and creativity come from experts directly collaborating with clients on their projects. He joins AlphaZetta with a mission, to create a better way for independent experts to work directly with clients, lowering the costs and opening access to high quality analytics talent to a wider audience. He brings 20 years of deep practical experience globally. He has held senior positions with clients and large consulting firms. He has won several awards for innovation in analytics including as a Finalist for Australia’s Young Businessperson of the Year Awards.

Enjoy the show!
We speak about:
[02:00] How Tony started in the data space

[04:00] What Tony’s journey has looked like

[05:30] Comparing data and analytics in different countries

[08:30] How was the adoption of the data infrastructure in China?

[11:10] How did ICBC gain new users?

[12:25] What are you most excited about?

[14:00] How can you bring data ethics to life?

[18:40] Any surprises when practicing data ethics?

[20:20] How have people jumped on board with data ethics culture?

[22:15] What was it like to build a bank with analytics at its core?

[27:00] About AlphaZetta

[32:20] What problems does AlphaZetta like to tackle?

[34:10] How does consulting work at an analytics company?

[35:30] What surprised you the most with AlphaZetta?

[37:00] Have you been involved in early-stage companies previously?

[39:15] Lessons learned from previous work experience

[41:00] What does the decision-making process look like in analytics?

[42:40] The visions for Volt Bank and AlphaZetta

[44:30] What would you like to be known for?

[47:00] What are the current and future challenges for the industry?

[50:20] What are you most proud of?

[51:25] A piece of advice for our listeners
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.
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
November 14, 2019#77 Solving Complex Data Problems at a Venture Capital Firm with Angela Wilkins – Founder and Managing Director
Angela Wilkins is the founder and Chief Scientist at Mercury Data Science (MDS) where she works with Mercury's portfolio companies to identify solutions for complex data problems. Prior to MDS, Angela was a member of faculty research at Baylor College of Medicine and led projects at the policy think tank, Center of Science and Law. She developed her machine learning knowledge in the biomedical field as part of IBM's Watson AI and DARPA Simplex Project. Angela received her M.S and Ph.D. from Lehigh University, all in Theoretical Physics.
Enjoy the show!

We speak about:
[01:10] How Angela started in the data space

[03:45] Using proteins to understand aging

[07:35] Setting team expectations

[09:15] Challenges at Baylor

[15:15] Using data science to make policy

[18:30] Leading seminars on machine learning and data science

[22:05] TrendKite – putting the right data in front of the PR person

[26:40] The transition from academia into business

[30:15] Rapid fire questions

[35:00] Future data science challenges

[36:10] Do as many things as you can
Resources:
Angela’s LinkedIn: https://www.linkedin.com/in/adwilkins
Mercury Fund: https://mercuryfund.com
TrendKite: https://www.trendkite.com

Quotes:
“We look to see how proteins, drugs, and diseases interact.”

“We came up with an algorithm for aligning protein networks along multiple species.”

“I left Baylor because I needed new problems.”

“Algorithms are useful everywhere.”

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.
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
November 05, 2019#76 Why You Should Outsource an External Review for Your Data Science with Michael Brand– Founder
Michael Brand has over 25 years of cutting-edge, international industry experience in advanced analytics, machine learning, artificial intelligence, machine vision, and natural language processing, Dr. Brand’s data expertise is both uniquely wide and uniquely deep. He served as Chief Data Scientist at Telstra Corporation, as Senior Principal Data Scientist at Pivotal, as Chief Scientist at Verint Systems, as CTO Group Algorithm Leader at PrimeSense Ltd (in the machine-vision team that developed the Xbox Kinect), and as Director of the Monash Centre for Data Science in his role as Associate Professor of Data Science at Monash University. He has developed solutions at every scale from on-chip to Big Data, from real-time to high-powered computing, and made industry-defining contributions that have earned him 16 patents (more pending), garnered many prestigious industry and academic awards, and underline $100Ms/pa revenues and $100Ms in valuation for the companies he worked with.
Enjoy the show!

We speak about:
[01:45] How Michael started in the data space

[05:35] Capturing brand new blood pressure data

[09:15] What you buy and eat depends on the weather

[15:10] Working with data science in the Israeli army

[19:40] Engineering approach vs. the scientific method approach

[28:45] When is the deep learning madness going to end?

[31:00] Working at Verint Systems

[36:05] The core of what Michael currently does

[43:20] Tools to ensure secrecy

[47:20] Making strategic decisions with data science

[50:00] Every company needs a data strategy

[54:15] Where does data governance play a role in an organization?

[63:10] The need to start talking about data rights

[69:20] Listener questions

[76:00] Michael has imposter syndrome
Resources:
Michael’s LinkedIn: https://www.linkedin.com/in/michael-brand-b230736/
Otzma’s LinkedIn: https://www.linkedin.com/company/otzma-analytics/about/
Otzma Analytics: https://otzmaanalytics.com

Quotes:
“When you have data that nobody has ever looked at before, you will see stuff that nobody has ever seen before.”

“We are in a world where we are pushed towards thinking of data science as a form of engineering.”

“You can outsource a lot of things, but you should do your own testing.”

“Every data you encounter is different; the value is understanding how that data is different.”

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.
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 24 min
October 29, 2019#75 Why We Need More Women Working in Data Science with Amy Daali, Ph.D. – Founder & CEO
Amy is an Engineer and a multidisciplinary Data Scientist at USAA. She received her B.E degree in Electrical and Computer Engineering at the University of Minnesota and her M.S. and Ph.D. degrees in Electrical Engineering from the University of Texas. Amy is an active promoter for women in STEM and enjoys teaching & organizing community events to increase women's visibility in the field. She previously served as the Women in Data Science Ambassador (WiDS) for the Global Women in Data Science group at Stanford University. She also founded San Antonio Data Science Meetup in 2016.
Enjoy the show!

We speak about:
[02:55] How Amy started in the world of data

[05:40] Amy’s professional background

[07:40] Amy’s Ph.D. changed everything

[13:00] Deciding to become an entrepreneur

[17:45] Having kids inspired Amy to work in healthcare

[25:20] Amy’s passion has kept her motivated

[27:50] Being a female in the data space

[35:40] About the Women in Data Science Meetup

[42:00] Having a work/life balance

[44:25] What Amy is most proud of in her career

[49:30] Amy’s advice for aspiring data scientists
Resources:
Amy’s LinkedIn: https://www.linkedin.com/in/amywdaali/

Amy’s Twitter: https://twitter.com/wdaali999?lang=en
Lucea AI LinkedIn: https://www.linkedin.com/company/lucea-ai/about/
Lucea AI Website: https://www.lucea-ai.com
Women in Data Science: https://www.widsconference.org/ambassadors-2018.html
San Antonio Women in Machine Learning & Data Science: https://www.meetup.com/San-Antonio-Women-in-Machine-Learning-and-Data-Science/events/
IEEE Smart City Summit: https://attend.ieee.org/scs-2019/speakers/

Quotes:
“Data has the ability to help a lot of people.”

“If you can do a Ph.D., you can do anything.”

“I love the fast pace of the industry.”

“You don’t need a PhD to be a data scientist.”

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.
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!
54 min
October 22, 2019#74 Creating Value using Artificial Intelligence with Ru Mitra– Founder and Author
Ru is a graduate from the University of Cambridge, UK who has built six startups in four countries. His primary interest is to build products with social Value. He is also a mentor of Google Launchpad and a senior AI advisor of EFMA Banking group. Ru has been invited to speak at over 60 events from 21 countries. His talks are about sharing his experiences on growing various startups and building products in Artificial Intelligence and Machine Learning.

Enjoy the show!

We speak about:
[01:45] How Ru started in the AI space

[06:50] What surprised Ru about startups

[10:15] Getting data first, then finding customers

[15:00] Ru’s writing career

[18:35] How to live a complete life

[20:40] What success means to Ru

[31:10] Bringing to life the machine learning models

[35:00] Ru’s advisory roles

[39:00] OpenAI

[41:20] Overcoming challenges with data

[44:00] Challenges with user adoption

[50:00] What Ru is most proud of

[51:40] Advice for the audience
Resources:
Ru’s LinkedIn: https://www.linkedin.com/in/mitrar
Ru’s Website: https://www.mitrarudradeb.com
Creating Value With Artificial Intelligence: Lessons Learned from 10 yrs of Building AI Products and Overcoming Data, Adoption, and Engineering Challenges

Quotes:
“I overcome challenges by learning from my failures.”

“Two years ago I would have never thought I would be a good public speaker.”

“Success cannot be defined by external factors.”

“I haven’t been stressed for three years, maybe more.”

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.
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

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

From the publisher's feed

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

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

Sign up to save your podcasts

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