Podcasts about data science conference

In today's episode, Ashanti Bentil-Dhue interviews Helen Farmer, an Inclusion and Social Impact consultant, author, speaker, and writer. Helen's diverse background and passion for creating meaningful dialogues make her a valuable resource in the realm of Equity, Diversity, Inclusion, and beyond. They delve into the importance of preparation and reflection when approaching sensitive conversations in the workplace. Helen shares her experiences and insights, emphasising the value of self-awareness and vulnerability. The discussion explores the significance of frank conversations and the challenges leaders face in navigating them, especially during times of crisis. Helen also offers guidance on fostering open dialogue within organisations, emphasising the need for self-awareness, peer support, and a willingness to tackle the "unsaid stuff." “I think the starting point I suggest is for people to always look at themselves. So that kind of self awareness is massive, because if you aren't on the journey, or haven't opened up, or gone on any part of that journey yourself, you're going to have less to relate to, and connect to the experiences that other people will have to go on to do that.  ” Episode Highlights:    The Power of Frank Conversations Overcoming Fear in Leadership The significance of encouraging self-awareness   About Helen Farmer: Helen Farmer Bio 2023  Equity, Diversity and Social Inclusion Consultant/ Research Associate  Helen works with people who support people from school to boardroom, especially young people and those most underserved; as well as overrepresented people, to remove barriers and provide better access, progress and support.  Specialist in the research/ strategy/ set-up/ support of multi-partner programmes, often working across sectors, in overrepresented sectors, working with a wide range of clients from corporates to charities, to universities and employability programmes in sectors like Creative; Digital; Engineering; Technology; Innovation, Construction; Refugee.  In 2023 her focus is on collaborations for Frank Conversations, curating and creating walks and talks for better listening, decision-making and action - thinking spaces, stories and spaces for better work and workplaces  Contact:  helen@voicebyvolume.com  07795621781  https://uk.linkedin.com/in/helenfarmer    Key Interests?  With core values of justice and belonging, Helen focuses on employability and social mobility and the S in ESG - Environmental and Social Governance. People don't just need mentoring or programmes, they need to access jobs and pay, with equity, at all levels.  A fan of creative, disruptive support, she helps people explore their unsaid and undone work, from school to boardroom.  Alongside her research and consultancy she is a regular speaker; author; Associate Lecturer Bath Spa University Business School; Independent Assessor - for a UK grantmaker; and a Trustee - Creative Tuition Collective - Providing free tuition, and support to pupils (13-16 years old) from low-income backgrounds, marginalised and underrepresented communities.  Speaker/ Panellist/ Podcaster:  ● Top listened-to podcast of 100 Inclusive Growth Podcasts: Brave Conversations opening the door to the unsaid and undone work in Inclusion  ● Bristol Mental Health Hackathon  ● CEOs Session: Talent Management and Skills for a Different City – Bristol and Bath Science Park  Author and Interviewer:  ● Bounce Back Journey of Parenting - From Rock Bottom to Bouncing Back - Belonging in My Work for Inclusion  ● Bounce Back Journey of Careers - Autism, Assumptions and Life as a Single Mum - Interview with Rebecca Scott Live Projects and Problems solved:  *What is the missing talent infrastructure in Bristol? How could networking and connections be de-gatekeeped to be more accessible and useful for under-represented and under-served people in Bristol? - Live project for 2x Student Innovation Teams in University of Bristol Centre for Innovation and Entrepreneurship.  *Mindgarden CIC Research and identify strategic partnership opportunities in Bristol and the wider mental health sector to potentially collaborate and partner with on research projects and the research and development of wider Mindgarden CIC Tools, App and community.  *Ablaze and NatWest Find Your Path Employability Programme - delivery support for 10 session programme for 16-25 year olds not currently working or studying. Plus business development for new Employability Support programme - Mentoring for entry level staff.  *Creative Workforce for the Future Programme a flexible and bespoke Inclusion programme of professional development with EDI audits for 60+ organisations and paid placements for young people. February 2020-March 2021  *Research, recommendations and leadership support and training for ambitious diversity and inclusion recruitment and procurement targets - for Wates Houses of Parliament Project. (Working with Legacy Strategies Ltd and Green Consulting) .  *Design and support for inclusive, accessible Events/Networks/Training/Workshops E.g. Data Science Conference and Technology Recruitment Fair for Women's Tech Hub and University of the West of England Master's in Data Science, April 2022.    If you would like to apply to be a guest on the show email: operations@goodsoilleaders.com   If you would like to schedule a capability briefing call with our team, email: operations@goodsoilleaders.com    If you would like to apply for DEI PRO Coaching, email: operations@goodsoilleaders.com  Stay Connected with Ashanti:  LinkedIn: Ashanti Bentil-Dhue   

Jeremiah Gbadegoye from the University of Tennessee speaks with IISE's Frank Reddy about the experience of attending the Lean Six Sigma & Data Science Conference 2022, Sept. 19-21 at the Hyatt Regency Perimeter in Atlanta. Follow #Lean6Data2022 on your favorite social media platforms to keep up with all the conference activity.

Keynote Speaker Dr. Sze Yee Thong, global business excellence director at Flex, speaks with IISE's Keith Albertson about the experience of attending the Lean Six Sigma & Data Science Conference 2022, Sept. 19-21 at the Hyatt Regency Perimeter in Atlanta. Follow #Lean6Data2022 on your favorite social media platforms to keep up with all the conference activity.

Bill Franks, director of the Center for Statistics and Analytical Research at Kennesaw State University, speaks with IISE's Keith Albertson about the role of data science in everyday business and his keynote presentation at the Lean Six Sigma & Data Science Conference 2022, Sept. 19-21 at the Hyatt Regency Perimeter in Atlanta. Follow #Lean6Data2022 on your favorite social media platforms to keep up with all the conference activity.

Enas Abualkas with Mediclinic Middle East in Dubai speaks with IISE's Frank Reddy about the experience of attending the Lean Six Sigma & Data Science Conference 2022, Sept. 19-21 at the Hyatt Regency Perimeter in Atlanta. Follow #Lean6Data2022 on your favorite social media platforms to keep up with all the conference activity.

Michael Terrell from Portsmouth, Virginia, speaks with IISE's Frank Reddy about the experience of attending the Lean Six Sigma & Data Science Conference 2022, Sept. 19-21 at the Hyatt Regency Perimeter in Atlanta. Follow #Lean6Data2022 on your favorite social media platforms to keep up with all the conference activity.

Paul Babin from Dematic in Atlanta speaks with IISE's Frank Reddy about the experience of attending the Lean Six Sigma & Data Science Conference 2022, Sept. 19-21 at the Hyatt Regency Perimeter in Atlanta. Follow #Lean6Data2022 on your favorite social media platforms to keep up with all the conference activity.

Natalie Morales, a student at Texas A&M University in College Station, Texas, peaks with IISE's Frank Reddy about the experience of attending the Lean Six Sigma & Data Science Conference 2022, Sept. 19-21 at the Hyatt Regency Perimeter in Atlanta. Follow #Lean6Data2022 on your favorite social media platforms to keep up with all the conference activity.

Victoria Ballard from Auburn University speaks with IISE's Frank Reddy about the experience of attending the Lean Six Sigma & Data Science Conference 2022, Sept. 19-21 at the Hyatt Regency Perimeter in Atlanta. Follow #Lean6Data2022 on your favorite social media platforms to keep up with all the conference activity.

Salvador Masso with Flextronics speaks with IISE's Frank Reddy about the experience of attending the Lean Six Sigma & Data Science Conference 2022, Sept. 19-21 at the Hyatt Regency Perimeter in Atlanta. Follow #Lean6Data2022 on your favorite social media platforms to keep up with all the conference activity.

Conference Keynote Speaker Rich Sheridan, CEO and chief storyteller at Menlo Innovations, speaks with IISE's Frank Reddy about the experience of attending the Lean Six Sigma & Data Science Conference 2022, Sept. 19-21 at the Hyatt Regency Perimeter in Atlanta. Follow #Lean6Data2022 on your favorite social media platforms to keep up with all the conference activity.

Are you psyched to attend in-person conferences again? The ASA staff is! The March edition of Practical Significance features members of the ASA Meetings Department—Kathleen Wert, Kristin Mohebbi, Naomi Friedman, and Christina Link. They share with co-hosts Donna and Ron how they design ASA meetings as crucial pathways to engage, educate, and network with fellow members. These include the Joint Statistical Meetings, Symposium on Data Science and Statistics, Biopharmaceutical Section Regulatory-Industry Statistics Workshop, Women in Statistics and Data Science Conference, International Conference on Health Policy Statistics, and Conference on Statistical Practice. ... The post Practical Significance | Episode 15: Meet the ASA Meetings Staff – Kathleen, Kristin, Christina, and Naomi! first appeared on Amstat News.

How often do you find that your hard work goes unappreciated? Others are doing what you do - maybe less - and getting all of the love and attention. It can be exhausting and demotivating, no matter how often you tell yourself that it doesn't matter. Europe is facing the exact same problem in the technology and data science industry. They are often overshadowed by countries like the United States and China, being heavily ignored despite their achievements. Aleksandar is here to change that. Meet Aleksandar Linc-Djordjevic Aleksandar's Role as a Leader at the Data Science Conference Aleksandar Linc-Djordjevic is the Managing Director at the Data Science Conference. DSC is one of the world's biggest franchises dedicated to Data Science & AI, with one of the fastest growing communities in Europe. In 2021 alone, DSC held 3 conferences across the world - the 1st live conference dedicated to Healthcare Analytics since the start of the pandemic in the United States, their 2nd conference in Austria, and their latest event in Europe. Spanning multiple days, each conference brought in 30-80 high-quality tutorials and talks, and was attended by 300-10,000 fellow data enthusiasts. Aleksandar's Previous Experiences in Training and Data Analytics Aleksandar is a certified Trainer with more than 500 hours of training delivery experience. His fields of expertise include organizational development, communication, project management, strategic and action planning, and fundraising. Notably, Aleksandar took on the role as a Trainer at the Ministry of Youth and Sport, and as a Trainer @JobFair15 LevelUp workshop. Currently, he is part of KOMS pool of trainers. He is also an Entrepreneurial Data Scientist with a demonstrated history of working in the non-profit organization management industry. Aleksandar has numerous experiences working in leadership and data related roles, including as the President of the Board at the Institute of Contemporary Sciences, a Data Analyst at NCR Corporation and CUBE Risk Management Solutions, and a Board Member of the National Youth Council of Serbia. The data science and AI scene in Europe In this exclusive analytics podcast episode, Aleksandar shares: Data Science Conference's involvement in Serbia's National Youth Strategy Transferable skills Aleksandar has discovered in managing his company How the data science and AI scene in Europe truly looks A comparison of data science as an industry between Europe and other parts of the world - such as the USA, Asia, Australia, and China What can be done for the world to learn more about data science development in Europe Building a community and collaboration across the world If you are a policymaker working in government agencies outside of the USA and interested in learning more on how to incorporate important technology into the national plan for your country, this is the episode you do not want to miss out on. --- Send in a voice message: https://anchor.fm/analyticsshow/message

Douglas Hamilton works across business units at Nasdaq to deploy artificial intelligence anywhere the technology can expedite or improve processes related to global trading. In this episode of Me, Myself, and AI, he joins hosts Sam Ransbotham and Shervin Khodabandeh to explain how the global financial services and technology company uses AI to predict high-volatility indexes specifically and to offer more general advice for those working with high-risk scenarios. Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the coordinating producers are Allison Ryder and Sophie Rüdinger. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders. Read more about our show and follow along with the series at https://sloanreview.mit.edu/ai. Guest bio:A data scientist by trade, Douglas Hamilton is the head of AI research at Nasdaq's Machine Intelligence Lab, which is dedicated to clarifying and improving financial markets with machine learning. He joined Nasdaq in 2017 as a data scientist and developed AI solutions focusing on rapid adaptation, reinforcement learning, and efficient market principles as solutions to predictive control problems. Before joining the financial technology industry and spearheading Nasdaq's machine intelligence initiatives, Hamilton led an advanced manufacturing analytics group at Boeing Commercial Airplanes and built customer relationship management systems at Fast Enterprises. He is a veteran of the U.S. Air Force and a member of the advisory board of The Data Science Conference. Hamilton holds a master of science degree in systems engineering from MIT and a bachelor's degree in mathematics from the University of Illinois Springfield. AI for Leaders on LinkedIn

Josette Cole-Pinnix, a data analyst with OpsVeda Inc., took a few minutes to chat with "Problem Solved" about her joy for returning to her first live conference since the start of the pandemic – the Lean Six Sigma & Data Science Conference 2021. She was excited to re-engage with in-person networking and the new motivation driven by intriguing sessions. She also addresses her love for coding (a topic that came up during Dr. Pyrcz's keynote on Tuesday) and the pride found in ISEs being "able to do it all."

Like many conference attendees, Dr. Tres Bishop from Kaman Aerospace in Jacksonville, Fla., has tried to learn proper greetings in this pandemic era. But he's navigated well at the Lean Six Sigma & Data Science Conference 2021 at the Grand Hyatt Buckhead in Atlanta. Dr. Bishop also discusses his conference presentation, "Are LSS critical success and failure factors two sides of the same coin?"

Melissa Rosado, an industrial engineer originally from Puerto Rico with a graduate degree in data science, said she appreciates being back among people "safely" during the Lean Six Sigma & Data Science Conference 2021 at the Grand Hyatt Buckhead in Atlanta. Melissa also said she was eager to see what was new at the crossroads of industrial engineering and data science in industry and academia.

During the Lean Six Sigma & Data Science Conference 2021, Nick Comeau from Commonwealth Medicine took a couple of minutes to talk about his first live conference experience since the start of the COVID-19 pandemic. Nick presented at the conference as well in a session called "Plan, Vaccinate, Study, Act (PVSA): An iterative approach to fighting COVID-19," which he explains in this bonus episode of "Problem Solved."

While attending the Lean Six Sigma & Data Science Conference 2021, Katie Grzyb took a break between sessions to talk about her conference experience with "Problem Solved." Katie, who works at Michigan Medicine in Northville, Mich., gave her own presentation on "Continuous Improvement Team Adding Value Through Support During a Global Pandemic," which she summarizes in this bonus episode.

Aleksandar Linc-Djordjevic is the managing director at #Data Science Conference, one of the most successful conferences on data science in the world spanning six continents. He is also the president of the Institute of Contemporary Science. The institute is a non-government institution, operating in Serbia consisting of experienced and motivated individuals, aiming to grow a community of like-minded people. 

Comet provides a self-hosted and cloud-based meta machine learning platform allowing data scientists and teams to track, compare, explain and optimize experiments and models. Backed by thousands of users and multiple Fortune 100 companies, Comet provides insights and data to build better, more accurate AI models while improving productivity, collaboration and visibility across teams. Register for future sessions here: http://bit.ly/comet-ml-oh Checkout Comet ML by visiting: https://www.comet.ml/ Checkout the latest FREE e-book from Comet - Building Effective Machine Learning Teams: https://bit.ly/3bWrJ0O Or on Twitter: https://twitter.com/CometML On YouTube: https://www.youtube.com/channel/UCmN63HKvfXSCS-UwVwmK8Hw Vote in the data community content creators awards! http://bit.ly/data-creators-awards Check it out and don't forget to register for future office hours: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Watch the episode on YouTube here: https://www.youtube.com/playlist?list=PLx-pFwty92wJoWzoO7WlfaM7iYB8qjm Checkout the interview I had with the Super Data Science Podcast: https://www.superdatascience.com/podcast/landing-your-data-science-dream-job

In this bonus episode of "Problem Solved," IISE's James Swisher moderates a panel discussion with past award winners and presenters who will be attending this fall's IISE Lean Six Sigma & Data Science Conference 2021, taking place Sept. 20-22 in Atlanta. The panel discusses the secrets to submitting high quality presentation abstracts, the additional focus at the conference on data science and their excitement for attending their first live conference (fingers crossed) since before the COVID-19 pandemic. This all-star panel features the 2021 conference chair Elizabeth Gentry from the University of Louisville, Johanna Ficatier from Mayo Clinic, Hungda Wan from the University of Texas at San Antonio and Michael Testani from Binghamton University.

In this episode, we sat down Liza Donnelly, award-winning cartoonist, illustrator, visual journalist, live drawer, an observer of humanity. I first met Liza when she was live drawing the keynotes at the Stanford Women in Data Science Conference and was amazed at the way she captured the personalities of the speakers and their talks in just a few lines, splashes of color, and just the right expression. In this far-ranging discussion, we cover the importance of cartoons and illustrations in helping to communicate difficult topics and ideas. We explored the new world of direct connection with fans through various channels beyond traditional publications. And we close on the process, and how that's changed over time with new tools and techniques. Liza is very thoughtful, intentional, and her messages carry a power and weight that far exceeds the somewhat whimsical lines and watercolors on paper. Thanks Liza Transcript & Show Notes  LinkedIn Article YouTube Video

The Association for Computing Machinery (ACM) together with the Institute of Mathematical Statistics (IMS) will hold the first-ever ACM-IMS Foundations of Data Science (FODS) Conference virtually on October 19-20. This interdisciplinary event will bring together researchers and practitioners to address foundational data science challenges in prediction, inference, fairness, ethics, and the future of data science. “Data science is a new, emerging field, building its foundations from computer science, statistics, and many other quantitative disciplines,” said FODS General Co-chair Jeannette Wing, Columbia University, and Fellow, Association for Computing Machinery. “Big data is not new: through large, one-of-a-kind, expensive instruments, scientists have been collecting and generating massive amounts of data for decades. What has changed is that the internet has become an instrument for anyone, not just scientists, to collect and generate data and that that data is about people. We also have powerful AI, machine learning, and statistical techniques that allow us to interpret and gain value from the data in new ways. And because so much data is about people, we must address upfront questions of ethics and privacy. We are witnessing a new era where every sector, including healthcare and finance, is being transformed by data science. We believe that our interdisciplinary approach to organizing this conference will make it an important research gathering for many years to come.” “FODS is a first-of-its-kind conference in that it is a collaboration between the two leading scientific societies in computing and statistics,” added FODS General Co-chair, David Madigan, Northeastern University, and Fellow, Institute for Mathematical Statistics. “We believe this cross-collaboration between computer scientists and statisticians is the most effective way to foster groundbreaking new research in this field. Building on the success of the initial summit ACM and IMS co-organized in 2019, we have put together an exciting program featuring the world’s top researchers and practitioners. We also hope that the virtual nature of this year’s conference will encourage participants from around the world to engage with us.” ACM-IMS FODS 2020 HIGHLIGHTS: Keynote Speakers 1. “AutoML and Interpretability: Powering the Machine Learning Revolution in Healthcare” Speaker: Michaela van der Schaar, The Alan Turing Institute AutoML and interpretability are both fundamental to the successful uptake of machine learning by non-expert end-users. This keynote presents state-of-the-art AutoML and interpretability methods for healthcare developed in van der Schaar’s lab and how they have been applied in various clinical settings (including cancer, cardiovascular disease, cystic fibrosis, and recently Covid-19). It then explains how these approaches form part of a broader vision for the future of machine learning in healthcare. 2.“Semantic Scholar, NLP, and the Fight Against COVID-19” Oren Etzioni, Allen Institute for AI (AI2) Etzioni’s talk will describe the dramatic creation of the COVID-19 Open Research Dataset (CORD-19) at the Allen Institute for AI and the broad range of efforts, both inside and outside of the Semantic Scholar project. This is to garner insights into COVID-19 and its treatment based on this data. The talk will highlight the difficult problems facing the emerging field of Scientific Language Processing. FODS 2020 Papers (Partial List) For a list of all accepted papers, visit here. 3. “Incentives Needed for Low-Cost Fair Data Reuse” Roland Maio, Augustin Chaintreau, Columbia University One of the central goals in algorithmic fairness is to build systems with fairness properties that compose gracefully. Although the importance of this goal was recognized early, limited progress has been made. In this work, Maio and Chaintreau propose a fresh approach to building fairly composable data-science pip...

Kishawna Peck is the founder and Executive Director of the Womxn in Data Science Conference, an event that provides a platform to women from diverse backgrounds to showcase their career journeys and knowledge. The conference itself is a two-day event where you get a chance to hear from women in academia, industry, government, and start-ups about how they apply data science to their work and the second day is a workshop. And today, Kishawna tells us the remarkable history of this staple Toronto conference. www.womxndsto.com Time stamps: 1:05 - Why did Kishawna create this conference? 2:45 - The relationship between Kishawna and the Stanford Women in Data Science Conference and how she went about organizing the Toronto rendition. 8:22 - How Kishawna reacted when she realized she, her family, volunteers were the only black faces at her first conference. 10:18 - How Kishawna was able to create a diverse pipeline of future speakers/facilitators in data science. 12:27 - Kishawna's original career had nothing to do with Data Science, so I ask her what brought her into the fold. 13:46 - Data ethics. 15:40 - Why she stepped away from the Stanford and how she created her own brand. 22:11 - How she went about planning the last conference, which included a trip to the hospital due to a mini-stroke. 29:09 - Kishawna's vision for the future of the conference. Kishawna Peck Twitter account https://twitter.com/DaytaDahta Toronto Womxn in Data Science Conference https://twitter.com/WomxnDSTO Richard Pietro Twitter account twitter.com/richardpietro Re: Open Gov Twitter account twitter.com/re_open_gov ABOUT Stories from the Open Gov is a podcast published by www.reopengov.org and is dedicated to telling the stories about what Open Government & Open Data look like. Your host is Richard Pietro, an Open Government & Open Data practitioner for the past 10 years. Listen and learn how Open Government & Open Data are becoming a reality! MUSIC ATTRIBUTION - Introduction & conclusion Singing Sadie - I Can't Dance freemusicarchive.org/music/Singing_…3_I_Cant_Dance Attribution-NonCommercial-ShareAlike 3.0 United States (CC BY-NC-SA 3.0 US) creativecommons.org/licenses/by-nc-sa/3.0/us/

Learn about the opportunities in the field of data science and machine learning. On this edition of Bytemarks Café, a discussion about the collaboration between the University of Hawai?i, Chaminade and Stanford University to advance careers for women at the Women in Data Science Conference.

It was in 2015 when Margot Gerritsen was asked to speak at a data conference with not a single other woman on the program that she knew that something had to be done to get women into the field.As she was then Director of the Institute for Computational and Mathematical Engineering (ICME), Gerritsen knew more than a thing or two about data science and became determined to change the male-dominated culture.This determination led to the creation of the wildly popular “Women in Data Science Conference.” In putting the first agenda together, she was insistent that the conference be not about the problematic state of women in the field, but on the exceptional science of the attendees.Now into its fifth iteration, with more than 100,000 participants worldwide, online and at satellite events spreading into six continents, Gerritsen and her co-directors of the conference have inspired women across the planet to enter the sciences and provided a platform for them to highlight their work. In addition to the conference, WiDS now includes a datathon, a podcast that Gerritsen hosts, and ongoing education programs. The results have been, quite literally, life-changing for many.RELATED LINKSConnect with Margot Gerritsen on Twitter (@margootjeg) and LinkedInFind out more about Margot on her Stanford ProfileConnect with Russ Altman on Twitter (@Rbaltman) and LinkedInFind out more about Russ on his Stanford ProfileRead more about Stanford ICME and Stanford School of EngineeringThis podcast episode was originally published on Stanford Engineering's Future of Everything podcast.

Women face many roadblocks to careers in data science and other STEM disciplines. One Stanford professor is out to change perceptions and realities for women in these fields. It was in 2015 when Margot Gerritsen was asked to speak at a data conference with not a single other woman on the program that she knew that something had to be done to get women into the field. As then-director of the Institute for Computational and Mathematical Engineering (ICME), Gerritsen knew more than a thing or two about data science and became determined to change the male-dominated culture. This determination led to the creation of the wildly popular “Women in Data Science Conference.” In putting the first agenda together, she was insistent that the conference be not about the problematic state of women in the field, but on the exceptional science of the attendees. Now into its fifth iteration, with more than 100,000 participants worldwide, online and at satellite events spreading into six continents, Gerritsen and her co-directors of the conference have inspired women across the planet to enter the sciences and provided a platform for them to highlight their work. In addition to the conference, WiDS now includes a datathon, a podcast that Gerritsen hosts, and ongoing education programs. The results have been, quite literally, life changing for many. You can listen to The Future of Everything on Sirius XM Insight Channel 121, iTunes, Google Play, SoundCloud, Spotify, Stitcher or via Stanford Engineering Magazine.

The Future of Everything with Russ Altman : "Margot Gerritsen: How to get more women into data science" Women face many roadblocks to careers in data science and other STEM disciplines. One Stanford professor is out to change perceptions and realities for women in these fields. It was in 2015 when Margot Gerritsen was asked to speak at a data conference with not a single other woman on the program that she knew that something had to be done to get women into the field. As then-director of the Institute for Computational and Mathematical Engineering (ICME), Gerritsen knew more than a thing or two about data science and became determined to change the male-dominated culture. This determination led to the creation of the wildly popular “Women in Data Science Conference.” In putting the first agenda together, she was insistent that the conference be not about the problematic state of women in the field, but on the exceptional science of the attendees. Now into its fifth iteration, with more than 100,000 participants worldwide, online and at satellite events spreading into six continents, Gerritsen and her co-directors of the conference have inspired women across the planet to enter the sciences and provided a platform for them to highlight their work. In addition to the conference, WiDS now includes a datathon, a podcast that Gerritsen hosts, and ongoing education programs. The results have been, quite literally, life changing for many. Originally aired on SiriusXM on July 13, 2019. Recorded at Stanford Video.

Episode begins with me ranting on the direction this show was taking and then finishes up with Day 2 of the Rev2 Data Science conference I attended back in May.

I had the opportunity to attend the Rev2 Data Science conference held by Domino Data Lab. While not an IT conference, I attended so I can gain a better understanding on what businesses are doing with data.

Brett and Cory get the low down on Domino Data Lab’s Data Science Platform with returning guest, VP of Marketing Jon Rooney and their Deputy CTO, Ozzy Johnson.  We discussed what it means to truly be a platform and how to separate Domino from the pretenders.  Hear how the world’s most mature, model driven businesses leverage Domino to not only collaborate and accelerate model development, but also deliver simpler deployments that scale and provide reproducibility and explainability so critical for enterprises automating with AI.  Also hear how you can get a great discount to Rev2, the Domino sponsored Data Science Conference in NYC May 23-24.

Hilary and Roger discuss the other jobs of the data scientist, using notebooks, Getting Things Done (on paper), keeping packages on CRAN, and the Women in Data Science Conference. Show notes: Women in Data Science Conference Hilary's New Yorker-style cartoon R 1.0.0 CD at University of Auckland Support us through our Patreon page Roger on Twitter: https://twitter.com/rdpeng Hilary on Twitter: https://twitter.com/hspter Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/ Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570 Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna Find past episodes: http://nssdeviations.com Contact us at nssdeviations@gmail.com  

The Open Data Science Conference brings together a variety of data professionals each year in Boston. This week's episode consists of a pair of brief interviews conducted on-site at the conference. First up you'll hear from Andy Eschbacher of Carto. He dscribes some of the complexities inherent to working with geospatial data, how they are handling it, and some of the interesting use cases that they enable for their customers. Next is Todd Blaschka, COO of TigerGraph. He explains how graph databases differ from relational engines, where graph algorithms are useful, and how TigerGraph is built to alow for fast and scalable operation.

The Open Data Science Conference brings together a variety of data professionals each year in Boston. This week's episode consists of a pair of brief interviews conducted on-site at the conference. First up you'll hear from Alan Anders, the CTO of Applecart about their challenges with getting Spark to scale for constructing an entity graph from multiple data sources. Next I spoke with Stepan Pushkarev, the CEO, CTO, and Co-Founder of Hydrosphere.io about the challenges of running machine learning models in production and how his team tracks key metrics and samples production data to re-train and re-deploy those models for better accuracy and more robust operation.

Dr. Fei-Fei Li, the Chief Scientist of AI/ML at Google joins Melanie and Mark this week to talk about how Google enables businesses to solve critical problems through AI solutions. We talk about the work she is doing at Google to help reduce AI barriers to entry for enterprise, her research with Stanford combining AI and health care, where AI research is going, and her efforts to overcome one of the key challenges in AI by driving for more diversity in the field. Dr. Fei-Fei Li Dr. Fei-Fei Li is the Chief Scientist of AI/ML at Google Cloud. She is also an Associate Professor in the Computer Science Department at Stanford, and the Director of the Stanford Artificial Intelligence Lab. Dr. Fei-Fei Li's main research areas are in machine learning, deep learning, computer vision and cognitive and computational neuroscience. She has published more than 150 scientific articles in top-tier journals and conferences, including Nature, PNAS, Journal of Neuroscience, CVPR, ICCV, NIPS, ECCV, IJCV, IEEE-PAMI, etc. Dr. Fei-Fei Li obtained her B.A. degree in physics from Princeton in 1999 with High Honors, and her PhD degree in electrical engineering from California Institute of Technology (Caltech) in 2005. She joined Stanford in 2009 as an assistant professor, and was promoted to associate professor with tenure in 2012. Prior to that, she was on faculty at Princeton University (2007-2009) and University of Illinois Urbana-Champaign (2005-2006). Dr. Li is the inventor of ImageNet and the ImageNet Challenge, a critical large-scale dataset and benchmarking effort that has contributed to the latest developments in deep learning and AI. In addition to her technical contributions, she is a national leading voice for advocating diversity in STEM and AI. She is co-founder of Stanford's renowned SAILORS outreach program for high school girls and the national non-profit AI4ALL. For her work in AI, Dr. Li is a speaker at the TED2015 main conference, a recipient of the IAPR 2016 J.K. Aggarwal Prize, the 2016 nVidia Pioneer in AI Award, 2014 IBM Faculty Fellow Award, 2011 Alfred Sloan Faculty Award, 2012 Yahoo Labs FREP award, 2009 NSF CAREER award, the 2006 Microsoft Research New Faculty Fellowship and a number of Google Research awards. Work from Dr. Li's lab have been featured in a variety of popular press magazines and newspapers including New York Times, Wall Street Journal, Fortune Magazine, Science, Wired Magazine, MIT Technology Review, Financial Times, and more. She was selected as a 2017 Women in Tech by the ELLE Magazine, a 2017 Awesome Women Award by Good Housekeeping, a Global Thinker of 2015 by Foreign Policy, and one of the “Great Immigrants: The Pride of America” in 2016 by the Carnegie Foundation, past winners include Albert Einstein, Yoyo Ma, Sergey Brin, et al. Cool things of the week Terah Lyons appointed founding executive director of Partnership on AI article & site Fully managed export and import with Cloud Datastore now generally available blog How Color uses the new Variant Transforms tool for breakthrough clinical data science with BigQuery blog & repo Google Cloud and NCAA team up for a unique March Madness copmetition hosted on Kaggle blog Interview AI4All site, they are hiring and how to become a mentor Cloud AI site Cloud AutoML site Cloud Vision API site and docs Cloud Speech API site and docs Cloud Natural Language API site and docs Cloud Translation API site and docs Cloud Machine Learning Engine docs TensorFlow site, github and Dev Summit waitlist ImageNet site & Kaggle ImageNet Competition site Stanford Medicine site & Stanford Children's Hospital site Additional sample resources on Dr. Fei-Fei Li: Citations site Stanford Vision Lab site Fei-Fei Li | 2018 MAKERS Conference video Google Cloud's Li Sees Transformative Time for Enterprise video Past, Present and Future of AI / Machine Learning Google I/O video Research Symposium 2017 - Morning Keynote Address at Harker School video How we're teaching computers to understand pictures video Melinda Gates and Fei-Fei Li Want to Liberate AI from “Guy with Hoodies” article Dr. Fei-Fei Li Question of the week Where can I learn more about machine learning? Listing of some of the many resources out there in no particular order: How Google does Machine Learning coursera Machine Learning with Andrew Ng coursera and Deep Learning Specialization coursera fast.ai site Machine Learning with John W. Paisley edx Machine Learning Columbia University edx International Women's Day March 8th International Women's Day site covers information on events in your area, and additional resources. Sample of recent women in tech events to keep on radar for next year: Women Techmakers site Lesbians Who Tech site Women in Data Science Conference site Where can you find us next? Mark will be at the Game Developer's Conference | GDC in March.

Donna LaLonde, Dalene Stangl & Jiayang Sun discuss the origins and program for the upcoming WSDS conference.

Summary Boston was host to the first ever Open Data Science Conference over the weekend of May 30th and 31st 2015. I spent the days wandering around talking to people with interesting stories. I hope you enjoy this episode, it was fun making it. My next podcast will be back to the normal interview format.