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

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 opportunity to work in diverse industries such as insurance, banking, agriculture, and online advertising and is therefore comfortable turning his hand to any industry. He has worked with some of the largest banks and insurance companies in Australia all the way down to small startups of 4, always helping them to drive value with data. Nic is passionate about the data science community and regularly produces content aimed at inspiring the next generation of data scientists. He is a regular speaker at data science events. Enjoy the show! We speak about: [00:20] How Nic started in the world of data [09:45] Nic’s experiences as a consultant [16:15] The decision to homeschool his kids [20:45] When Nic started his company [23:20] Staying hands-on with his team [25:50] Starting a business with his wife [30:50] What to do if monthly reports are taking too long [37:20] Bouncing between city and country [45:15] Appetite for trying new technology [49:50] Do you see companies in Australia doing remote work? [55:00] Nic’s proudest moment in his career [56:30] What are the biggest challenges in the data science space? [59:30] Where do you see data science going in the future? [61:00] What are you talking about at your meetup? [62:00] Do you have advice for data scientists? [65:45] What advice do you have for a younger Nic Ryan? 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! --- Send in a voice message: https://podcasters.spotify.com/pod/show/datafuturology/message

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 for product strategy, roadmap, and requirements. Before MapR, Tomer held numerous product management and engineering roles at Microsoft, most recently as the product manager for Microsoft Internet Security & Acceleration Server (now Microsoft Forefront). He is the founder of two websites that have served tens of millions of users and received coverage in prestigious publications such as The New York Times, USA Today, and The Times of London. Tomer is also the author of a 900-page programming book. He holds an MS in Computer Engineering from Carnegie Mellon University and a BS in Computer Science from Technion - Israel Institute of Technology. Enjoy the show! We speak about: [01:50] How Tomer started in the data space [03:35] What was it like running your own business? [04:50] What did you think would happen with ePassportPhoto? [07:20] Takeaways from MapR [09:35] What was the process of starting Dremio? [10:55] How did you gauge how much product development needed to be done? [12:20] Where did you start with your hiring process? [13:00] What have been some of the pivotal moments for Dremio? [14:35] What does Dremio do? [16:00] What is the semantic layer? [20:00] Who are the users? [23:30] What are the data masking capabilities? [25:10] How has the journey been for you personally? [28:35] What challenges are you facing right now? [30:00] About Tomer’s teams [31:15] The importance of having a sales team [33:30] How has Dremio changed with the increase of employees? [34:30] What does the future look like for Dremio? [35:00] What do international expansions look like for Dremio? [35:45] What are you most proud of in your career? [36:20] Any lessons from your failures? [37:45] Advice for future entrepreneurs [40:00] Future challenges in the data space [41:45] A piece of advice for the 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. 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! --- Send in a voice message: https://podcasters.spotify.com/pod/show/datafuturology/message

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 internationally. He has also provided training to thousands of students and businesses through online e-learning courses. Enjoy the show! We speak about: [00:15] How Lasse started in the world of data [01:45] Why is there a lack of information about AI? [03:15] What are some ethical concerns with AI applications? [05:30] What are the main things people do not understand about decision-making algorithms? [07:00] Where does the bias come from? [08:20] What are the differences between human-centered AI and consumer-centered AI? [10:40] What are your views on different organizations benefiting from AI? [13:50] How have you seen the adoption of AI in the education sector? [18:30] What inspired your book on education? [21:30] What was the process behind your book on AI? [28:30] What are the main topics you speak about during your keynotes? [36:40] How does the ROYBI work? [37:40] What are you most proud of? [38:15] What challenges are you thinking about? [39:50] What excites you most about AI? [40:30] How has failure set you up for greater success later on? [42:20] What are future challenges in the data space? [46:30] How are the universal basic income trials in Finland going? [47:50] How have you gotten better at prioritizing your time? [50:30] What is a piece of advice you want to leave for the listeners? Resources: Lasse’s LinkedIn: https://www.linkedin.com/in/lasserouhiainen/ Lasse’s Website: https://www.lasserouhiainen.com/ MyData: https://mydata.org/ The Future of Higher Education: How Emerging Technologies Will Change Education Forever Artificial Intelligence: 101 Things You Must Know Today About Our Future ROYBI: https://roybirobot.com/ Rise of the Robots: Technology and the Threat of a Jobless Future 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. 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! --- Send in a voice message: https://podcasters.spotify.com/pod/show/datafuturology/message

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 Divisional Chief and Flagship Director at CSIRO. Ian is considered a thought leader in the area of the Digital Economy and is a regular speaker on “Big Data” and broadband-enabled services. Enjoy the show! We speak about: [02:00] How Ian started in the world of data [07:20] Ian’s professional background [10:00] Ian’s role as NSW Government’s Chief Data Scientist [15:10] The skills that have helped Ian succeed in his role [19:25] Running an effective ideation workshop [23:45] Should you get an MBA? [33:30] Developing risk frameworks [36:40] What Ian is most proud of Resources: Ian’s LinkedIn: https://www.linkedin.com/in/ianoppermann/ Quotes: “I have the ability to look impossible challenges square in the eye and not blink.” “Sometimes a slightly crazy idea which you can then find a reasonably sensible idea is a great way to tackle challenges.” “I don’t think an MBA is for everybody.” “Data standards are really starting to get interesting.” 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! --- Send in a voice message: https://podcasters.spotify.com/pod/show/datafuturology/message

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 mindful of the importance of AI ethics and beware of bias. It is no secret that decisions are being made that are racist and sexist, however, the algorithm itself is not the problem, the data that is feeding the algorithm needs to be more closely monitored for bias. Felipe discusses some challenges around data and human capital such as the need for more data engineers, building citizen data-literacy capacity and looking at the reliance on AI and data over human data scientists. A few trends Felipe identifies are centered around the prevalence and ever-broadening capabilities of AI. Moving forward all new phones will have a chip dedicated to machine learning. Felipe notes that now there are some significant developments in machine learning centered around unsupervised learning, auto-machine learning, and correlation and causation that will mean more powerful AI. Consumers can soon expect to benefit more holistically and tangibly from insight-powered by AI, while companies are developing entire departments to use AI to use internal and external data to find threats in their competitive landscapes. Enjoy the show! We speak about: [02:25] Tips #1-6: Data, AI Ethics & Data Engineers [19:15] Tips #7-12: Business & AI, Machine Learning [27:00] Recent Developments in AI 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. 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! --- Send in a voice message: https://podcasters.spotify.com/pod/show/datafuturology/message

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 growth. David's professional experience shows a proven track record of delivering sustainable results - frequently fueled by insight and strong execution.  Enjoy the show!  We speak about:  [00:30] About David Thomas  [05:50] What did you learn from your thesis?  [18:00] What are the reasons people stop having a close interaction with the data?  [23:10] What are the components of a good CDAO?  [33:15] How do you keep large teams productive?  [38:00] Advice for future data leaders  Resources:  David’s LinkedIn: https://www.linkedin.com/in/davidthomasnz/  Quotes: “If you can measure things, then you can get better.”  “You can never underestimate the language.”  “Tech is moving so fast; you can’t do it on your own. Partnering is so important.”  “You need to partner for thought leadership.”  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! --- Send in a voice message: https://podcasters.spotify.com/pod/show/datafuturology/message

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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! --- Send in a voice message: https://podcasters.spotify.com/pod/show/datafuturology/message

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! --- Send in a voice message: https://podcasters.spotify.com/pod/show/datafuturology/message

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! --- Send in a voice message: https://podcasters.spotify.com/pod/show/datafuturology/message

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! --- Send in a voice message: https://podcasters.spotify.com/pod/show/datafuturology/message

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! --- Send in a voice message: https://podcasters.spotify.com/pod/show/datafuturology/message

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! --- Send in a voice message: https://podcasters.spotify.com/pod/show/datafuturology/message

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! --- Send in a voice message: https://podcasters.spotify.com/pod/show/datafuturology/message

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! --- Send in a voice message: https://podcasters.spotify.com/pod/show/datafuturology/message