Podcasts about analytics and data science

Jessica Lachs is the global head of analytics and data science at DoorDash, where she's built one of the largest and most respected data organizations in tech. In her more than 10 years at DoorDash, she has served as the first general manager, responsible for launching new markets; the head of business ops and analytics; and the VP of analytics and data science. Previously, Jessica founded GiftSimple, a social gifting startup, and started her career at Lehman Brothers as an investment banking analyst. In our conversation, she shares:• How to structure and scale a high-impact analytics organization• Centralized vs. decentralized data teams• How to pick the right metric and aligning incentives• Advice for data people on how and when to push back• Lessons learned from building a global data team• How to foster a culture of extreme ownership• The role of AI in improving analytics team productivity• Advice for aspiring data leaders without formal training—Brought to you by:• Webflow—The web experience platform• Anvil—The fastest way to build software for documents• Attio—The powerful, flexible CRM for fast-growing startups—Find the transcript at: https://www.lennysnewsletter.com/p/building-a-world-class-data-org-jessica-lachs—Where to find Jessica Lachs:• X: https://x.com/jesslachs• LinkedIn: https://www.linkedin.com/in/jessica-lachs/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Jessica's background(04:59) Centralized vs. embedded analytics teams(10:52) The benefits of a centralized analytics team(15:10) Balancing proactive and reactive work(20:45) Advice on how to push back effectively(24:20) Hiring for curiosity and problem solving(28:57) Coming from a non-traditional background(34:40) The early days and culture at DoorDash(40:39) Encouraging cross-functional roles(44:39) Defining effective metrics(46:30) Simplifying metrics for better outcomes(55:28) Focusing on edge cases and fail states(01:00:12) Managing a global data organization(01:02:31) Leveraging AI for productivity(01:05:25) Building diverse and skilled data teams(01:08:40) Lightning round—Referenced:• How Netflix builds a culture of excellence | Elizabeth Stone (CTO): https://www.lennysnewsletter.com/p/how-netflix-builds-a-culture-of-excellence• Riley Newman on LinkedIn: https://www.linkedin.com/in/rileynewman/• Tony Xu on LinkedIn: https://www.linkedin.com/in/xutony/• Imposter Syndrome: Why You May Feel Like a Fraud: https://www.verywellmind.com/imposter-syndrome-and-social-anxiety-disorder-4156469• Stanley Tang on LinkedIn: https://www.linkedin.com/in/stanleytang/• Andy Fang on LinkedIn: https://www.linkedin.com/in/fangsterr/• Evan Moore on LinkedIn: https://www.linkedin.com/in/evanmoore/• How WeDash became the flagship employee program for DoorDash: https://careers.doordash.com/blog/wedash-doordash-employee-program-how-does-it-work• Leading with empathy | Keith Yandell (DoorDash, Uber): https://www.lennysnewsletter.com/p/leading-with-empathy-keith-yandell• The Rose Code: https://www.amazon.com/Rose-Code-Novel-Kate-Quinn/dp/006305941X• Libby app: https://libbyapp.com/• The West Wing on Prime: https://www.amazon.com/West-Wing-Complete-First-Season/dp/B000KZPG04• Alias on Prime: https://www.amazon.com/Alias-Season-1/dp/B00748O13S• Joseon sunscreens: https://beautyofjoseon.com/• Innisfree sunscreens: https://us.innisfree.com/• John Steinbeck quote: https://www.brainyquote.com/quotes/john_steinbeck_103825• Vanessa Roberts on LinkedIn: https://www.linkedin.com/in/vanessa-roberts-b8a509a/• Tia Sherringham on LinkedIn: https://www.linkedin.com/in/tiasherringham/• Elizabeth Jarvis-Shean on LinkedIn: https://www.linkedin.com/in/elizabeth-jarvis-shean-141a7966/• My Journey (Part 1): I have a job that I would never be hired for: https://www.linkedin.com/posts/jessica-lachs_anniversary-datascience-finance-activity-7216912300056727553-mEv6/?utm_source=share&utm_medium=member_desktop—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. Get full access to Lenny's Newsletter at www.lennysnewsletter.com/subscribe

In this episode of Stories from the Hackery, Founder and CEO of Nashville Software School, John Wark, sits down with lead analytics instructor, Michael Holloway, to provide insights into the impact of generative AI tools like ChatGPT on data analytics and data science. They highlight the importance of human oversight and contextual understanding in leveraging these tools effectively as well as strategies for adapting programs at Nashville Software School to prepare students for evolving roles in data analytics and data science are discussed, emphasizing the need for continuous learning and skill development. START YOUR NSS JOURNEY To learn more about Nashville Software School and our upcoming programs, visit our website at https://NashvilleSoftwareSchool.com SUPPORT NSS Want to support NSS in our mission to teach adults skills needed for careers in tech? Visit our website to donate to the scholarship fund and learn about other volunteer opportunities! https://Nashss.com/Give CHAPTERS: 00:00 - Introduction. 03:10 - An overview of data analytics and data science. 04:30 - The evolution and impact of generative AI tools like ChatGPT and their role in supporting data analytics and data science tasks. 05:33 - Similarities and differences between software development and data analytics/data science are explored, focusing on how generative AI tools transform learning and work processes. 06:31 - Similarities in using generative AI tools for coding tasks and the importance of understanding contextual knowledge and problem domains. 08:12 - Key differences between software development and data analytics/data science, such as exploratory nature and iterative problem-solving approaches, are highlighted. 10:18 - The iterative exploration process in data analytics is discussed, emphasizing the need for planning, design, and contextual understanding of the data. 12:10 - Limitations of generative AI tools like ChatGPT in reasoning and understanding complex data contexts are explained. 13:05 - Capabilities and limitations of generative AI tools, emphasizing their dependence on training data and human validation. 17:42 - The importance of human oversight in using generative AI tools. 22:58 - Domain expertise in data analytics and data science tasks, emphasizing the limitations of generative AI tools. 24:48 Training strategies at NSS to prepare students for evolving roles in data analytics and data science. 46:08 - Strategies for adapting training content to incorporate skills relevant to generative AI tools. 01:04:2 - Closing.

Black Hat USA 2023 in Las Vegas covered several trends, such as generative AI and cloud security issues, as well as new vulnerabilities, including the Downfall flaw in Intel chips.

In Episode 35 of Season 3, of Driven by Data: The Podcast, Kyle Winterbottom is joined by Asheeka Hyde, Head of Trading Analytics and Data Science at Dunhelm, where they discuss tangible advice on how to be a better communicator to drive value, which includes;Having Data & Analytics as a key pillar of the organisation How to achieve executive alignment Why most executives are already bought-in Why it's important for executives to actually experience the benefits of Data & Analytics How to demonstrate value as early as possible The importance of making data problems visible to the execs Why you have to truly inspire peopleWhy “quick wins” are often merely for winning trustUnderstand what we mean by “value”The importance of saying ‘No' Why you need to change your communication depending upon the maturity of your organisation Why you need to get the execs to prioritise for you The differences to consider between organisations with a clear business strategy and ones without How there is more than one way of communicating and influencingWhy working with a comms professional changed her communication styleWhy consistency of communication is absolutely critical Understanding if you are the right person to communicate the message you want to deliverWhy your communication needs to be thoughtfulIf you want 80% of people to leave a room with the right message, you need to tell them 5 timesWhy you have to find different ways of saying the same thingThe importance of utilising internal comms teams The know, do and feel communication framework The importance of testing if your message is landing Why, if you don't tell your story then people will create their own

Join GDS Link's Carl Spilker, EVP of Global Analytics and Advisory, and Matt Shubert, VP of Predictive Analytics and Data Science at West Coast University, along with guest host, GDS Link's VP of Global Marketing, Matthew Tepper, as they discuss the wide-ranging impact of artificial intelligence (AI) in the financial industry.  Gain valuable insights into AI applications, benefits, leveraging data, best practices, market adaptation, insurance and lending, regulatory concerns, fraud detection, and the potential of AI in transforming financial processes.  Stay connected with The Lending Link! Subscribe and follow us on our listening and social platforms, and access exclusive GDS Link offerings at: https://linktr.ee/thelendinglink.

This podcast episode covers the focus on AI-powered security products and uses at RSA Conference 2023 in San Francisco last week, as well as other trends at the show.

#datascience #analytics #banking #citibank #customerexperience Citibank uses data, analytics, and AI to improve the customer experience, but that's only the beginning. We speak with Murli Buluswar, Citi's Head of Analytics for the US Consumer Bank, about how his team supports businesses from origination to acquisition to customer retention and beyond. He also shares practical advice on how to bring data and analytics into your own organization.The conversation includes these topics:-- On data science and analytics at Citibank-- On the role of data science in financial services-- How are data science and analytics used in banking?-- How Citibank selects which data problems to solve?-- On using data science and analytics to achieve specific business outcomes-- Examples of data science in banking-- Examples of using data science to improve long-term customer outcomes at Citibank-- Using data science and analytics to manage risk and uncertainty-- How to build a data-centric culture?-- How Citibank uses data analytics in banking to improve customer service, loyalty, and retention?Read the full transcript: https://www.cxotalk.com/episode/analytics-data-science-citibankSubscribe to our newsletters and be notified of live shows: https://www.cxotalk.com/subscribeAs Head of U.S. Consumer Analytics (USCA), Murli Buluswar is leading the execution of the vision to ‘be a critical partner in achieving a quantum leap in customer intelligence' across Citibank's 30MM+ customer base. An ‘intrapreneurial' analytical and strategic C-Suite Financial Services Leader, Murli has successfully built alignment and achieved commercial outcomes by challenging conventional processes while harnessing data-driven intelligence. A former member of The Operating Committee of The American International Group (AIG), Murli has influenced Fortune 100 board members and senior leaders to expand innovative thinking and execution through data insights. As Chief Science Officer for AIG, Murli built a (data) Science team to ‘serve as a catalyst for consistent evidence-based decision making at AIG.' Science served as an internal data-driven innovation unit with a complementary set of capabilities in: problem structuring, data engineering, behavioral science, data science, and software development. The Science Team helped reduce operating costs, improve loss ratios, increase sales, and engage with customers to reduce risk.Prior to Citi, Murli was a Senior Advisor to The Boston Consulting Group (BCG) and two startups. He helped shape clients' ability to retool decision making powered by data.

00:00 Intro 04:54 Opportunities in data today 17:03 Building a team 20:39 Understanding the users 31:10 Connecting with the business 36:02 Ideal qualities of a transformation leader 40:49 Carrot and stick 44:16 Storytelling in data 52:13 Making people interested 54:02 Advice for aspiring data leaders The Data Storytellers Podcast S02E44: Sarah Bourgeois - Analytics and Data Science Manager at Toromont Cat Website: https://www.thedatastorytellers.com/ (https://www.thedatastorytellers.com/) LinkedIn: https://www.linkedin.com/company/the-data-storytellers (https://www.linkedin.com/company/the-data-storytellers)

One of the first industries to extensively use advanced maths to do better was financial services. Ever since Fischer Black and Myron Scholes published their seminal paper on option pricing in 1973, Wall Street firms hired mathematicians and scientists by the droves, getting them to model asset prices in order to get an edge in the market. Even today, top hedge funds such as Renaissance, Citadel and Two Sigma prefer to hire scientists rather than finance professionals to manage their portfolios. However, in the last decade or so, as Data Science and Artificial Intelligence have taken over the rest of the world, Wall Street has not maintained its leadership position in the use of maths to make money. How and why did this happen? In order to understand this, we talk to Hari Balaji, co-founder of Romulus, an award winning unstructured data automation platform for Financial Services firms. Prior to founding Romulus, Hari spent a decade in quant & data roles at Goldman Sachs across Hong Kong and Singapore. Hari is an alumnus of IIT Madras & IIM Ahmedabad. Show Notes 00:03:15 - What is data science and what is artificial intelligence? 00:10:40 - What Hari's company does 00:14:00 - Toolbox versus hammer-nail approaches 00:15:00 - This history of math in the financial services industry 00:28:45 - Wall Street is never a first mover but a great follower 00:33:30 - How Wall Street uses data science nowadays 00:41:00 - Why most innovations have happened at smaller firms 00:44:00 - Why the financial industry doesn't behave like the Tech world Romulus on Twitter Romulus on LinkedIn Data Chatter is a podcast on all things data. It is a series of conversations with experts and industry leaders in data, and each week we aim to unpack a different compartment of the "data suitcase". The podcast is hosted by Karthik Shashidhar. He is a blogger, newspaper columnist, book author and a former data and strategy consultant. Karthik currently heads Analytics and Business Intelligence for Delhivery, one of India's largest logistics companies. You can follow him on twitter at @karthiks, and read his blog at noenthuda.com/blog

Today's guest is Adam Katz, Chief Revenue Officer and Adam Smith, VP of Analytics and Data Science at Sightly in New York. Founded in 2013, Sightly are helping Brands Anticipate the Unexpected. They use data science, predictive algorithms and expert human know-how to maximize your outcomes and align your Brand Mentality™ at speed, no matter what lies ahead. Their smart, agile approach to media planning, buying and fine-tuning extends across YouTube, TikTok, Connected TV & OTT, Live Streaming video, and all premium publishers and networks. In today's episode, they will tell you about: Sightly's unique brand mentality platform, Problems they are solving applying AI and Data Science, Use cases of helping customers establish their Brand Mentality™, Interesting projects & day-to-day of the data team, What makes Sightly a great place to work, How Data Science became a critical part of their business and What the future holds for Sightly

Brian Seko has over 10 years in Data Analytics for a Major Medical Research Institution and is getting his Masters Degree in Applied Data Science. Brian shares many of the complexities of data collection as well as making sense of data and using it to better understand different models in research as well as practical application. Brian also touches on statistics and many other facets of data systems with us. Later in the show Brian shares a little bit about how the average person can learn to use data in more meaningful ways. Brian's Website: http://easydatadoesit.org/ Brian's Youtube Channel: https://www.youtube.com/channel/UCWCO1CUUXYNY4y4-bQdEwOw/featured See the live stream on You-Tube Wednesday 12 AM Eastern Tuesday 9 PM Pacific here: https://www.youtube.com/watch?v=A6HVdu-1cOg&list=PL837tk-T71LjTQb1sXVtVWZlgnplv-Wor Listen to the the live stream on Truth Frequency Radio Wednesday 12 AM Eastern Tuesday 9 PM Pacific here: https://tfrlive.com/listen-live/?TimeZone=+3 --- Send in a voice message: https://anchor.fm/tfsncif/message Support this podcast: https://anchor.fm/tfsncif/support

Programmers are problem solvers first, and code writers second, says Tanmay Bakshi in this interview. He shares how programmers should learn to code and develop machine learning apps.

In this, episode 18 of the Analytics and Data Science Pulse Podcast, I was privileged to have the opportunity to speak with the one and only JT Kostman, PhD. I have been connected with JT for some time on LinkedIn, and I cannot thank him enough for his generosity in taking the time to speak with me and in turn, sharing that discussion with you. As you will hear in this episode, JT has the unique profile of someone with a background in Psychology, Mathematics, and Data Science. He has hunted terrorists for the U.S. intelligence agencies, tracked criminal networks for the FBI, advised the Department of Defense on analytic strategies and led social media analysis for the 2012 Obama campaign. In the corporate sector, he served as Chief Data Officer and member of the Executive Committee for Time Inc. and as Chief Data Scientist for Samsung. I cannot overstate how interesting I found this chat, and I hope you, the listeners, get as much enjoyment out of listening to it as much I did making it!

In this episode and the first of 2020, I was joined by Co-founder of Modulai in Stockholm, Erik Dahlberg. Modulai is an agency/consultancy focused on solving their client's problems through the application of Machine Learning. Erik is someone who was with Klarna as a Data Scientist for over six years before going out on his own with his colleagues. This one will undoubtedly offer a great deal of value for those people considering taking the same route. Thank you Erik!

On this episode, I am joined by Kjetil Amdal Saevik who is Data Science Lead at Norway’s leading online grocery company, Kolonial.no. Kjetil has previously held Data Science positions at Elkjop Nordic who are part of Dixons Carphone Warehouse and has worked for Consultancies such as Capgemini and PwC.

In this week's episode, I was joined by former Chief Data Officer and Partner of Text Analytics company Gavagai and now of RISE (Research Institutes of Sweden), Fredrik Olsson. Fredrik is someone who has an impressive background within the sphere of Language Technology (PhD in Computational Linguistics), and he offers a unique insight as to what life is like when you move from the commercial sector back into research (where he is now). I think that Fredrik is an excellent example of someone who is comfortable with being uncomfortable and is always open to stepping outside of his comfort zone. I always enjoy having a chat with him and thank you for recording this with me Fredrik!

So, Episode #14 and I enjoyed a great call with Mattias Fras who is the Head of Strategy and Acceleration of Nordea in Stockholm. In this one, you will hear how Mattias transitioned from Consulting into the Banking industry and his unique insights on how data-driven professionals can add more value to the departments and companies that they work for. Mattias has several unique attributes that you will hear, have made a significant contribution to getting him to where he is today.

Here it is, episode 13 of the Analytics and Data Science Pulse Podcast. I was delighted to be joined by Linn Jordet Nygaard, who is the Head of Data at Unacast in Oslo. Unacast is doing some fascinating work concerning location and map data and has offices in both Oslo and New York. Linn is someone who has a unique perspective on the world of data as a result of having extensive experience as a Management Consultant and for the past two years, in a fast-growing start-up.

In episode 12, I was joined by Oguzhan Gencoglu of Top Data Science in Helsinki. Top Data Science is a data science company focusing on AI powered Computer Vision, Machine Learning and Analytics technologies and development services for corporate customers and tech companies. Oguzhan has a Masters in Machine Learning from Tampere University and to date, he has delivered over 50+ AI projects in the past 3 and a half years with Top Data Science. Thanks for taking part Oguzhan.

In this episode I was joined by Aleh of Formulate in Stockholm. Aleh has a double Masters from Stockholm University and is a Senior Data Scientist and Econometric Expert. For those of you either entering the workforce as an Economics graduate or perhaps looking to transition across from elsewhere, this one is for you.

In episode ten I was joined by David Stephenson PhD. David is a published author (UK Bestseller - "Big Data Demystified,")and also MD of strategic analytics Consultancy, DSI Analytics. David has a unique insight into what it takes to build successful Analytics and Data Science teams and continues to consult with household names and smaller firms alike, in this capacity. He is also the Program Chair for Predictive Analytics World in London.

I was fortunate enough to be joined by Kyle Wierenga who is the current CIO of Burton Snowboards. I am lucky to have known Kyle for several years now and his understanding of the Data Science/Advanced Analytics landscape within the Retail and Consumer Insight space is second to none.

There's no debating the importance of software testing. But QA should be everyone's responsibility. In this podcast, learn how to follow a team-wide approach to quality.

There's no debating the importance of software testing. But QA should be everyone's responsibility. In this podcast, learn how to follow a team-wide approach to quality.

In this episode, I was joined by Niko Vuokko who is the Lead AI Solution Architect of Silo.AI, a private AI lab based in Helsinki. Niko holds a PhD in Machine Learning and has extensive Business Development experience specifically related to AI.

On this episode, I was fortunate enough to speak with Greg Ryslik who is the Chief Data Officer of Celsius Therapeutics in Cambridge, MA. Greg has previously held senior Analytics/Data Science positions at both Tesla and Faraday Future and he holds a PhD in Biostatistics from Yale. For listeners that are interested in the application of Data Science within the Health and Medical Technology sectors, this one is definitely for you.

On this episode, I was fortunate to speak to Carlo Torniai who is the Director of Strategy and Digital Ventures at FIFA and former Head of Data Science and Analytics for Pirelli. Earlier than that he was also a Data Science Manager at Tesla between 2014 and 2015. He holds a PhD in Informatics from Florence University as well as an MBA from London School of Economics and NYU Stern. We hope you enjoy listening.

With the growing popularity of machine learning and artificial intelligence, creating a data science program is a key initiative at most companies today. However, it’s not always clear to executives how they can deliver a return on investments in data science. To explain this, we invited an expert who has spent most of his career in the data science trenches and has a clear-minded perspective on how to deliver ROI with data science. Alan Jacobson is the chief data and analytics officer (CDAO) of Alteryx, driving key data initiatives and accelerating digital business transformation for the Alteryx global customer base. As CDAO, Jacobson leads the company’s data science practice as a best-in-class example of how a company can get maximum leverage out of its data and the insights it contains, responsible for data management and governance, product and internal data, and use of the Alteryx Platform to drive continued growth. Prior to joining Alteryx, Alan held a variety of leadership roles at Ford Motor Company across engineering, marketing, sales and new business development; most recently leading a team of data scientists to drive digital transformation across the enterprise. As an Alteryx evangelist at Ford, Alan spent many years leveraging the Alteryx Platform across the company and witnessed first-hand the impact a culture of analytics can have on the bottom line and what it takes to succeed as a data-driven enterprise.

For episode #005 I was joined by Kate Strachnyi. Kate is by trade, a Data Visualization (Tableau) expert who is incredibly generous with both the quality and quantity of the content she shares with the Data Science community. Based in NY, she is the host of "Humans of Data Science,"(HoDS) on her "Story by Data," YouTube channel as well as being a published author of both "The Disruptors: Data Science Leaders," and "Journey to Data Scientist."

For episode #004 I was joined by Christian Guttmann. Christian is the Global Head of AI and Data Science at Tieto and is based in Stockholm. He is also the Executive Director at the Nordic AI Institute and adjunct Associate Professor at the University of New South Wales, Australia and Adjunct Researcher at the Karolinska Institute, Sweden.

In this episode of the Analytics and Data Science Pulse, Our guest was Kristian Mork Puggaard of DAMVAD Analytics, a specialist consultancy based in Copenhagen. You will hear Kristian's thoughts on what life is like working at a Consultancy and what he as a hiring manager is looking for in potential employees. Thanks for participating Kristian.

In this episode, I was lucky to be joined by Bjorn Brinne who is the Head of Data Science at Peltarion in Stockholm. Bjorn is also formerly of both King and Truecaller and has a PhD in Theoretical Physics from Stockholm University. Thank you Bjorn for taking part.

Welcome to the "Analytics and Data Science Pulse Podcast," with me, Richard Downes. I am a specialist Headhunter within the area of Analytics, Data Science and Machine Learning and on each episode of these Podcasts, I aim to get get the thoughts of industry experts on the subject of careers in any given data-driven vertical. On episode one, I was fortunate enough to have a Q&A with Tom Davenport. Tom is Professor of Information Technology and Management at Babson College and author/editor of over 20 books and over 250 print or digital articles for Harvard Business Review (HBR), Sloan Management Review, the Financial Times, and many others. Tom earned his Ph.D. from Harvard University and has taught at the Harvard Business School, the University of Chicago, the Tuck School of Business, Boston University, and the University of Texas at Austin. I am sure that many of you will also know Tom as being the joint author of the October 2012 article in the Harvard Business Review entitled "Data Scientist: The Sexiest Job of the 21st Century." I hope you enjoy the interview and I apologise for some of the sound quality issues.

UI/UX designers serve as the voice of users, so it's crucial that they're tuned into their needs. Aaron Fazulak of Flatiron School disseminates UI/UX advice in this podcast.

Yuval is an Analytics and Data Science professional with extensive commercial and academic experience. His interests and goals are to be working on interesting and practical problems where there is a need to discover and act on meaningful patterns in data, through advanced analytics and data science. I'm the founder and co-organiser of two meetups: Data Science Melbourne and MelbURN, a user group for Melbourne-based users of the R statistical and data mining programming language. In this episode, Yuval tells us about how both of his parents are statisticians and inspired him to fall in love with data science. Growing up, he used Pascal to build spaceship games, and it motivated his passion for programming. Eventually, Yuval went for his Ph.D. and focused on applying how animals learn and behave to robotics. Simulated and physical experiments were pretty basic because robotics were not as advanced as they are today. Later, Yuval realized academia was not necessarily his calling, he was more interested in applying solutions to interesting problems. However, in recent years, research innovation and solving problems are becoming much more intertwined. Enjoy the show! We talk about: [01:40] How Yuval fell in love with data science [05:45] Social learning in biology [08:05] Lessons learned from completing a Ph.D. [13:10] Research innovation vs. solving problems [15:40] Embrace simplicity [18:00] Small business advantages [21:45] Skills to develop before management [26:00] Results oriented work [30:45] Different flavors of management [32:50] Connection to community [40:20] Learning to interact with stakeholders + managerial skills [44:00] Benefits of building connections + education [48:00] Assume people are at work with good intentions [52:00] Allocate time for professional development [59:30] Focus on retention Resources: Data Science Melbourne MelbURN Yuval’s LinkedIn University of New South Wales Thank you to our sponsors: UNSW Master of Data Science Online: studyonline.unsw.edu.au Datasource Services: datasourceservices.com.au or email Will Howard on will@datasourceservices.com.au 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! --- Send in a voice message: https://anchor.fm/datafuturology/message

A quality customer experience helps ensure software product viability. So, why do organizations stop short in their UX efforts? In this podcast, Isabel Evans espouses the value of UX.

This week's Risk & Repeat podcast looks at the future of biometric authentication after researchers unveiled a new approach that uses neural networks to bypass fingerprint scanners.

This week's Risk & Repeat podcast looks at the future of biometric authentication after researchers unveiled a new approach that uses neural networks to bypass fingerprint scanners.

This week's Risk & Repeat podcast discusses the MIT CSAIL Securing the Enterprise conference and how experts there advocated for new strategies and approaches to infosec.

This week's Risk & Repeat podcast discusses the MIT CSAIL Securing the Enterprise conference and how experts there advocated for new strategies and approaches to infosec.

Mario is an Electrical Engineer from Colombia. He went to Silicon Valley to do his Masters at Stanford University and stayed to build a career in Marketing Analytics. He has incredible experience and has worked at Intuit, Google, HP, Symantec and Facebook. He currently works at Uber as Marketing Analytics and Data Science Manager. We speak about: - Starting in marketing analytics without knowing anything about it - Data dictators and why multiple versions of the truth are necessary - The importance of data science education in organisations - How to pick the best predictive model for your applications - How to use people analytics - Google style - Why your job is to empower your stakeholders - How to stand out during interviews Show notes: www.datafuturology.com/podcast/23 Mario is based in the San Francisco Bay Area And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. It really helps new data scientists find us. Thank you so much, and enjoy the show! --- Send in a voice message: https://anchor.fm/datafuturology/message

Kshira has been with the Analytics/Decision Sciences industry for almost a decade now having worked across Americas, Asia, Europe and Australia. He is the Head of Analytics and Data Science at The Iconic. We speak about: -Why he moved from analytics consulting to building data products -What a data driven product should do and how to prioritise your efforts -How to make analytics less intimidating and more accessible -How to take your stakeholders on the data-driven decision making journey in next the best way -How to structure your team for maximum impact in your organisation -Most common issues and roadblocks in creating a data driven culture and how to overcome them Show notes: https://www.datafuturology.com/podcast/22 Data Scientist job https://github.com/theiconic/datascientist Kshira is based in Sydney, Australia And as always, we appreciate your Reviews, Follows, Likes, Shares and Ratings. It really helps new data scientists find us. Thank you so much, and enjoy the show! --- Send in a voice message: https://anchor.fm/datafuturology/message

In this week's Risk & Repeat podcast, SearchSecurity editors discuss Identiverse 2018 and how artificial intelligence is being applied to identity and access management.

In this week's Risk & Repeat podcast, SearchSecurity editors discuss Identiverse 2018 and how artificial intelligence is being applied to identity and access management.

Carnegie Mellon University's Justine Cassell talks about her efforts to turn software into 'virtual humans.'

Carnegie Mellon University's Justine Cassell talks about her efforts to turn software into 'virtual humans.'

In this week's Risk & Repeat podcast, SearchSecurity editors discuss the big questions ahead of RSA Conference 2018, as well as notable sessions and speakers scheduled for the event.

In this week's Risk & Repeat podcast, SearchSecurity editors discuss the big questions ahead of RSA Conference 2018, as well as notable sessions and speakers scheduled for the event.

Carnegie Mellon University's Chris Harrison talks about the future of the user interface in this episode of 'Schooled in AI.'

Carnegie Mellon University's Chris Harrison talks about the future of the user interface in this episode of 'Schooled in AI.'

AI cyberattacks won't be particularly clever; instead, they'll be fast and fierce. Carnegie Mellon University's Jason Hong explains in this episode of 'Schooled in AI.'

AI cyberattacks won't be particularly clever; instead, they'll be fast and fierce. Carnegie Mellon University's Jason Hong explains in this episode of 'Schooled in AI.'

In this episode of 'Schooled in AI,' Andrew Moore, dean of the School of Computer Science at Carnegie Mellon University, talks about the benefits of the AI stack.

In this episode of 'Schooled in AI,' Andrew Moore, dean of the School of Computer Science at Carnegie Mellon University, talks about the benefits of the AI stack.

The biggest tech companies in the world are tapping university professors to lead their AI efforts. And we'll be talking to them, too. Welcome to our new podcast series Schooled in AI.

The biggest tech companies in the world are tapping university professors to lead their AI efforts. And we'll be talking to them, too. Welcome to our new podcast series Schooled in AI.

In this week's Risk & Repeat podcast, SearchSecurity editors discuss the identity and access management industry and how machine learning algorithms could govern IAM systems.

In this week's Risk & Repeat podcast, SearchSecurity editors discuss the identity and access management industry and how machine learning algorithms could govern IAM systems.

In this episode of SearchSecurity's Risk & Repeat podcast, Kevin Walker, Juniper Networks' security chief technology and strategy officer, talks about SDN security challenges.

In this episode of SearchSecurity's Risk & Repeat podcast, Kevin Walker, Juniper Networks' security chief technology and strategy officer, talks about SDN security challenges.

In this episode of SearchSecurity's Risk & Repeat podcast, Tod Beardsley and Rebekah Brown of Rapid7 talk about the IoT threat landscape and improving IoT device security.

In this episode of SearchSecurity's Risk & Repeat podcast, Tod Beardsley and Rebekah Brown of Rapid7 talk about the IoT threat landscape and improving IoT device security.