Podcasts about lead data scientist

SHOW: 927SHOW TRANSCRIPT: The Cloudcast #927 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS" SPONSORS:[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.[US CLOUD] Cut Enterprise IT Support Costs by 30-50% with US CloudSHOW NOTES:Patronus AI websiteTopic 1 - Welcome to the show, Anand. Give everyone a quick introduction.Topic 2 - Our topic today is Preventing AI Model Hallucinations. Before we dig into that, I wanted to ask about your time as Lead Data Scientist at Meta. What was it like to be early into that organization, and what did you take away from your time there? Topic 3 - Ok, let's dig into model evaluations and hallucinations. Let's start at the beginning. How do model hallucinations come about?Topic 4 - When evaluating models for hallucinations, how does a developer or a data scientist know fact from fiction? Due to its size, complexity, and number of parameters, it's not feasible to simply fact-check and manually verify inputs to outputs. How is this process evaluated and automated with some level of confidence? Additionally, numerous benchmarks are available. What are your thoughts on the usefulness of the benchmarks?Topic 5 - How does the concept of data quality play into this? How would we know when a model was given insufficient or improper data vs. a hallucinationTopic 6 - We often hear about how frontier models are running out of training data, and increasingly, synthetic data is being used. Does this impact hallucinations in any way?Topic 7 - The last item I wanted to ask you about, Partonus AI, also pertains to model optimization. Can you explain that process?Topic 8 - If anyone is interested, what's the best way to get started?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

Solène Bergaire est Lead Data Scientist chez Pernod Ricard. On revient sur son plus gros challenge de ces dernières années : scaler l'équipe Data Science.On aborde :

Host Sam Russell engages with Miroslav Valan, Chief Data Scientist at Winningtemp, Nicolas Salinas, Senior Data Scientist at Volvo Cars, Asadullah Najam, Lead Data Engineer at Ericsson, and Prabhu Gurusamy, Lead Data Scientist at Tata Consultancy Services. They explore strategies to stay ahead amidst rapid changes in data, highlighting innovations in data science, engineering, and analytics. This discussion offers insights into managing evolving data landscapes, AI integration, and driving effective data-driven decisions across industries.

In this episode of Geographical Thinking, host Michelle Brake is joined by Dr. Mohamed Ahmed, Lead Data Scientist at Esri Canada, to explore how AI is transforming marine conservation. Fisheries and Oceans Canada collaborated with Esri Canada to train deep learning models to detect beluga whales in Arctic waters using aerial, drone, and satellite imagery. With accuracy rates of 85-88%, these models can analyze thousands of images in hours, a task that previously took months. Mohamed shares insights into the challenges of distinguishing whales from ice, the evolution of the AI models, and what this breakthrough means for the future of marine research. Tune in to discover how technology is helping us better understand Arctic ecosystems and the impact of climate change.

In episode 27 of Recsperts, we meet Alessandro Piscopo, Lead Data Scientist in Personalization and Search, and Duncan Walker, Principal Data Scientist in the iPlayer Recommendations Team, both from the BBC. We discuss how the BBC personalizes recommendations across different offerings like news or video and audio content recommendations. We learn about the core values for the oldest public service media organization and the collaboration with editors in that process.The BBC once started with short video recommendations for BBC+ and nowadays has to consider recommendations across multiple domains: news, the iPlayer, BBC Sounds, BBC Bytesize, and more. With a reach of about 500M+ users who access services every week there is a huge potential. My guests discuss the challenges of aligning recommendations with public service values and the role of editors and constant exchange, alignment, and learning between the algorithmic and editorial lines of recommender systems.We also discuss the potential of cross-domain recommendations to leverage the content across different products as well as the organizational setup of teams working on recommender systems at the BBC. We learn about skews in the data due to the nature of an online service that also has a linear offering with TV and radio services.Towards the end, we also touch a bit on QUARE @ RecSys, which is the Workshop on Measuring the Quality of Explanations in Recommender Systems.Enjoy this enriching episode of RECSPERTS - Recommender Systems Experts.Don't forget to follow the podcast and please leave a review(00:00) - Introduction (03:10) - About Alessandro Piscopo and Duncan Walker (14:53) - RecSys Applications at the BBC (20:22) - Journey of Building Public Service Recommendations (28:02) - Role and Implementation of Public Service Values (36:52) - Algorithmic and Editorial Recommendation (01:01:54) - Further RecSys Challenges at the BBC (01:15:53) - Quare Workshop (01:23:27) - Closing Remarks Links from the Episode:Alessandro Piscopo on LinkedInDuncan Walker on LinkedInBBCQUARE @ RecSys 2023 (2nd Workshop on Measuring the Quality of Explanations in Recommender Systems)Papers:Clarke et al. (2023): Personalised Recommendations for the BBC iPlayer: Initial approach and current challengesBoididou et al. (2021): Building Public Service Recommenders: Logbook of a JourneyPiscopo et al. (2019): Data-Driven Recommendations in a Public Service OrganisationGeneral Links:Follow me on LinkedInFollow me on XSend me your comments, questions and suggestions to marcel.kurovski@gmail.comRecsperts Website

Trailblazing Women in Ad Tech: Insights from StackAdapt Leaders In this episode, we welcome three inspiring women from StackAdapt who share their journeys and wisdom on navigating the ad tech industry with confidence and curiosity: Anna Grodecka-Grad, Senior Vice President of Global Client Services, discusses balancing technical expertise with strategic business acumen. Lydia Berlacher, Head of Commercial Strategy and Operations, reveals how she filters valuable insights amid distractions. Zeynep Akkalyoncu, Lead Data Scientist, explores how curiosity fuels interdisciplinary collaboration. Key Topics & Takeaways: Empowering Mentorship & Confidence Building (08:35): Anna and Zeynep reflect on mentors who saw their potential before they did, particularly female leaders who provided guidance and opportunities. The Power of Negotiation (17:51): A discussion on self-advocacy, knowing your worth, and strategic negotiation for career growth. Navigating Imposter Syndrome & Personal Growth (26:00): Lydia and Zeynep share strategies for overcoming self-doubt, building a support network, and continuous learning. Personal & Professional Development (32:12): How daily routines enhance focus and growth, plus the importance of setting goals and celebrating achievements. Practicing Gratitude & Self-Care (40:05): Recognizing the women who influence and uplift us, especially as International Women's Day approaches. Join Our Next FREE Workshop (March 27th): Sign Up Here About Us: We teach historically excluded individuals how to break into programmatic media buying and land their dream jobs. Through our Reach and Frequency® program, an engaged community, and expert coaching, we offer: Customized training roadmaps for teams focusing on campaign performance, cross-departmental communication, and revenue growth. Request a sample training roadmap A hybrid model where we activate and train in DSPs. Book a Free Call Timestamped Breakdown: (00:02) Women in Ad Tech Leadership (08:35) Empowering Mentors and Confidence Building (17:51) The Power of Negotiation Skills (26:00) Navigating Imposter Syndrome and Personal Growth (32:12) Personal and Professional Development (36:05) Building Confidence and Achieving Success (40:05) Practicing Gratitude and Self-Care Connect with Our Guests: Anna Grodecka-Grad Zeynep Akkalyoncu Lydia Berlacher   Meet the Team: Hélène Parker - Chief Programmatic Coach, Helene Parker Consulting LLC Website LinkedIn Manuela Cortes - Co-Host, Programmatic Digest in Español LinkedIn   Learn Programmatic: As a Team: Custom Training Workshops As an Individual: Online Course Newsletter: Join on LinkedIn Programmatic Digest: YouTube | LinkedIn   Programmatic Training & Coaching: Accelerator Program: A 6-week structured program with live coaching, hands-on DSP exercises, and real-time feedback. Sign Up Self-Paced Course: Learn at your own speed with full content access. Enroll Here Waitlist for Future Workshops: Join Here

Davis DeRodes, Lead Data Scientist, Fusion Risk ManagementLast year's CrowdStrike failure firmly put the need for robust scenario testing under the global spotlight. Online and app outages at some of the UK's biggest banks in early 2025 have only served to underline the need to ensure operational resilience. Davis DeRodes, Lead Data Scientist at Fusion Risk Management speaks to Robin Amlôt of IBS Intelligence about current trends in scenario testing and says 2025 will be the year of the AI agent.

Dans ce podcast, Vincent Bonnivard, Lead Data Scientist chez Probayes, explique comment l'Intelligence Artificielle (IA) transforme l'optimisation des procédés industriels. Il aborde les enjeux, l'utilisation des jumeaux numériques pour simuler et prédire les systèmes, ainsi que les étapes concrètes de mise en œuvre. À travers des exemples pratiques, Vincent partage aussi des conseils précieux pour intégrer l'IA et maximiser son impact. Un échange riche en idées pour les industriels en quête d'innovation et d'efficacité !Hosted by Ausha. See ausha.co/privacy-policy for more information.

Hoje o papo é sobre saúde e tecnologia. Neste episódio, conversamos com o time da Dasa para entender como as partes de negócio, de desenvolvimento, de front e de back se encontram para quem opera o maior data lake de saúde da América Latina. Vem ver quem participou desse papo: Paulo Silveira, o host que não quer só o relatório André David, o co-host que não faz raio-x Anaterra Oliveira, CTO da Dasa Matheus Ferreira, Lead Data Scientist & MLOps Manager na Dasa

Re-Platforming Your Tech Stack // MLOps Podcast #281 with Michelle Marie Conway, Lead Data Scientist at Lloyds Banking Group and Andrew Baker, Data Science Delivery Lead at Lloyds Banking Group. // Abstract Lloyds Banking Group is on a mission to embrace the power of cloud and unlock the opportunities that it provides. Andrew and his team have been on a journey over the last 12 months to take their portfolio of circa 10 Machine Learning models in production and migrate them from an on-prem solution to a cloud-based environment. During the podcast, Andrew shares his reflections as well as some dos (and don'ts!) of managing the migration of an established portfolio. // Bio Michelle Marie Conway Michelle is a Lead Data Scientist in the high-performance data science team at Lloyds Banking Group. With deep expertise in managing production-level Python code and machine learning models, she has worked alongside fellow senior manager Andrew to drive the bank's transition to the Google Cloud Platform. Together, they have played a pivotal role in modernising the ML portfolio in collaboration with a remarkable ML Ops team. Originally from Ireland and now based in London, Michelle blends her technical expertise with a love for the arts. Andrew Baker Andrew graduated from the University of Birmingham with a first-class honours degree in Mathematics and Music with a Year in Computer Science and joined Lloyds Banking Group on their Retail graduate scheme in 2015. Since 2021 Andrew has worked in the world of data, firstly in shaping the Retail data strategy and most recently as a Data Science Delivery Lead, growing and managing a team of Data Scientists and Machine Learning Engineers. He has built a high-performing team responsible for building and maintaining ML models in production for the Consumer Lending division of the bank. Andrew is motivated by the role that data science and ML can play in transforming the business and its processes, and is focused on balancing the power of ML with the need for simplicity and explainability that enables business users to engage with the opportunities that exist in this space and the demands of a highly regulated environment. // MLOps Swag/Merch https://shop.mlops.community/ // Related Links Website: https://www.michelleconway.co.uk/ https://www.linkedin.com/pulse/artificial-intelligence-just-when-data-science-answer-andrew-baker-hfdge/ https://www.linkedin.com/pulse/artificial-intelligence-conundrum-generative-ai-andrew-baker-qla7e/ --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Catch all episodes, blogs, newsletters, and more: https://mlops.community/ Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Michelle on LinkedIn: https://www.linkedin.com/in/michelle--conway/ Connect with Andrew on LinkedIn: https://www.linkedin.com/in/andrew-baker-90952289

In this week's basketball coaching conversation, Jack Van Deventer joins The Basketball Podcast to discuss the current state of basketball analytics.Jack Van Deventer is the founder and CEO of Basketball Science, a consulting firm based in North Carolina. With a distinguished 45-year career as a statistician, professor, and data scientist, Jack retired as the Lead Data Scientist of a Fortune 40 company to embark on his basketball analytics venture.Jack's academic journey includes his role as a professor of Business Statistics at Boise State University and later as a professor of Management Information Systems at Washington State University, where he earned teaching awards at both institutions. His expertise lies in simplifying complex information into actionable insights, a skill he seamlessly translated into the realm of basketball analytics.Fifteen years ago, Jack began advancing basketball analytics when his daughter, Amy, started playing junior high basketball. Collaborating with fellow data scientists, Jack realized that commonly-used basketball statistics were lagging by about 25 years. He then focused on developing improved metrics and shared his findings with Amy's high school coach, leading her team to a State Championship. Later, Amy's D-II college coach utilized Jack's stats to win the conference championship and advance to D-II March Madness, defeating more talented teams in the process.As Jack's analytics reached higher-level basketball programs, their success continued to grow. Today, Basketball Science is dedicated to providing better insights to teams that strive to win, consistently pushing the boundaries of basketball analytics.

Der er sket meget hos Novo Nordisk, siden Rosa og Heino var på besøg for præcis to år siden. Det er nemlig også to år siden, at OpenAI satte ChatGPT fri til hele verden, og det blev, ifølge dagens gæst, et point of no return for virksomheder som Novo Nordisk.Han fik til opgave at integrere teknologien i organisationen, hvilket førte til udviklingen af NNGPT som i dag har 25.000 unikke brugere. Dagens gæst i Dataklubben er Peter Vester, Lead Data Scientist i Novo Nordisk. 

Join Anna Hall for a special episode of Tune Into Nature as we explore the dynamic biking culture at Colorado State University and in Fort Collins!Biking is a key part of life both on campus and in the city, and there's so much to discover. Luckily, we have Anna to guide us through the essentials of biking in this vibrant community.In this episode, we'll cover:The city's plans for enhancing biking infrastructureHow to find affordable bikes on campusTips for maintaining your bikeRegistering your bike with the CSU Police DepartmentBuilding a biking community at any skill levelWe couldn't uncover all this information without some help. In this episode, we feature insightful interviews with:AnnMarie Kirkpatrick, Active Modes Specialist, Fort Collins MovesAnna Kelso, Active Modes Specialist, Fort Collins MovesWill Walton, Bike Mechanic, CSU The SpokeAllison Naseman, CSU Surplus PropertyBrad Breese, Transportation Education and Enforcement Program Coordinator at CSU Police DepartmentB Steele, co-founder of Queer + Bikes and Lead Data Scientist for the Department of Ecosystem Science and SustainabilityWhether you're an experienced cyclist or just getting started, there's always something new to learn about our active biking scene. Don't forget to check out the links below for more information and resources!Links:The Spoke Bike Shop: https://thespoke.colostate.eduCSU Surplus Property: https://surplus.colostate.eduRegister your bike: https://police.colostate.edu/register...Queer + Bikes Instagram: https://www.instagram.com/queerplusbikes?igsh=MW13emxkemx2cDdwZQ%3D%3D

In August, Cecilia is taking the reins of the podcast in a mini series featuring women who transitioned into data from a different career. For the first episode of this mini series, Cecilia speaks to Elodie Hudson. Elodie transitioned into data in 2023 from being a teacher for 16 years and also working in Science to become a Lead Data Scientist at a technology and training company for the railway industry. She has an incredible and inspiring journey about career change.

How can businesses ensure customer satisfaction in economic relationships? How can they continually elevate the value they bring? And what if AI could fortify your company's foundational strengths? The answer lies in commercial intelligence. Courtney Baker is joined by Knownwell's CEO David DeWolf and Chief Product Officer Mohan Rao. They dive into the transformative potential of AI in solving commercial intelligence problems, highlighting how AI can enhance and augment business processes to sustain and grow economic relationships, making companies more profitable and client-centric. Special guest Dr. Andy Workman, Provost at Widener University, shares insights with Chief Strategy Officer Pete Buer on what business leaders can learn from the challenging economics of running colleges and universities. He discusses how AI can tackle issues like stagnant revenue, high labor costs, and increased competition, drawing parallels between the higher education sector and the corporate world. In our AI in the Wild segment, we introduce Knownwell's Lead Data Scientist, Ramsri Golla, who developed an AI model featured in the Google I/O keynote. Ramsri explains how he and Ravi Theja Desetty trained a model on 15 different Indic languages, showcasing the incredible potential of AI in breaking language barriers and enhancing communication. Watch this episode on YouTube: https://youtu.be/M0RYC3HQMY4  Sign up for Knownwell's beta: www.knownwell.com  AI Knowhow is brought to you by the team at Knownwell.

Today I am returning with a candid conversation with a good friend, Nachum Plonka. Nachum is the Principal Data Scientist at the Heart Math Institute, a non-profit organization whose objective is to help the development of heart-brain-coherence. Nachum speaks about the positive effects of leading a heart centered life along with other things like the Global Consciousness Project and what science says about consciousness.     

In this episode, Anna sits down with two leaders in the finance industry, exploring the forefront of AI and ML innovations. First, we have Mabu Manaileng, Lead Data Scientist at Standard Bank Group. Mabu shares his journey and current role, highlights the challenges of applied data science in the financial sector, and discusses the transformative impact of AI on banking in the coming years. Next, we welcome Adam Lieberman, Head of AI and ML at Finastra. Adam defines the concept of drift, discusses statistical measures to quantify it, and provides strategies for maintaining model health, ensuring that models continue to serve users' needs effectively.

Recorded on Sep 27, 2023 in München, GermanyVideo version available on YouTubeFrom supply chain to large language models and backIshansh realized the potential of data when he was just 10 years old, during his time as a junior cricket player. His journey led him to ask questions about the mechanisms behind the observed events. Can large language models (LLMs) help in building an industrial causal graph? What inspires stakeholders to share their knowledge and which causal discovery algorithms have been most effective for Ishansh's supply chain use case? Hear the insights from one of the BMW Group's fastest-rising young data science talents. Ready? ------------------------------------------------------------------------------------------------------ About The GuestIshansh Gupta is a Lead Data Scientist at BMW Group. Previously, he worked for several companies, including a legendary German sports club SV Werder Bremen. He studied Computer Science, and co-founded an educational startup during his study years. He has supervised or supported students in various universities, including the Munich-based TUM and MIT. Connect with Ishansh: - Ishansh on Twitter/X - Ishansh on LinkedInAbout The HostAleksander (Alex) Molak is an independent machine learning researcher, educator, entrepreneur and a best-selling author in the area of causalityConnect with Alex: - Alex on the InternetLinksPapers - Kıcıman et al. (2023) - Causal Reasoning and Large Language Models - Peters et al. (2014) - Causal Discovery with Continuous Additive Noise Models [RESIT algorithm]Books- Molak (2023) - Causal Inference and Discovery in Python - Pearl & Mackenzie (2019) - The Book of WhyOther- causaLensCausal Bandits TeamProject Coordinator: Taiba MalikVideo and Audio EditinCausal Bandits PodcastCausal AI || Causal Machine Learning || Causal Inference & DiscoveryWeb: https://causalbanditspodcast.comConnect on LinkedIn: https://www.linkedin.com/in/aleksandermolak/Join Causal Python Weekly: https://causalpython.io The Causal Book: https://amzn.to/3QhsRz4

Today we are starting a journey into the heart of innovation with the inaugural episode of our special season, recorded live at the Global Produce & Floral Show. Throughout this season, join us for 2-4 interviews in each episode, featuring discussions with experts from groundbreaking companies and pioneers in cutting-edge technology within the produce and floral industry. These dynamic conversations offer quick glimpses into the innovative solutions addressing the industry's most pressing challenges. Whether you're a seasoned professional in the field or simply curious about the latest advancements, this season has something for everyone. In this episode, we kick off with the Tip of the Iceberg Podcast, sharing insights into the accelerator program's purpose and impact. Following that, we explore Julian Godding's perspective as the Lead Data Scientist at Gardin, a pioneering company in the Fresh Field Catalyst Program. Lastly, we speak with Brandon Contino, CEO, and Co-Founder of Four Growers, as he shares his unique insights into the main pain points for growers.Key TakeawaysWhat the accelerator program entails.The benefits of participation.The purpose of the accelerator program.What Gardin is working on in terms of crop growth.Julian's experience in the Fresh Field Catalyst Program.What Four Growers has set out to do in the industry.The major pain points of growers.Guest ResourcesJulian Godding: LinkedInBrandon Contino: LinkedInIFPA innovator Vonnie Estes on opening up the produce industryGlobal Produce & Floral ShowShow LinksInternational Fresh Produce Association - https://www.freshproduce.com/Fresh Takes on Tech - https://www.freshproduce.com/resources/technology/takes-on-tech-podcast/Facebook - https://www.facebook.com/InternationalFreshProduceAssociation/Twitter - https://twitter.com/IntFreshProduce/LinkedIn - https://www.linkedin.com/company/international-fresh-produce-association/Instagram - https://www.instagram.com/intlfreshproduceassn/

We know that social determinants of health such as housing instability, food insecurity, transportation barriers and limited access to education significantly influence individuals' health outcomes. By screening for these factors, healthcare providers can provide, or healthcare providers can gain a more comprehensive understanding of patients' lives beyond their medical conditions. This holistic approach allows for tailored interventions that address the root causes of health disparities. Heather Blonsky, Lead Data Scientist at Vizient, joins host Margaret Rudisill to talk about this topic and how we have used our Vizient vulnerability index tool, lovingly called the VVI tool, to address some of the nonclinical issues of each organization's top 2% in patient utilizers in our current collaborative, creating capacity transitioning of high-risk patients.   Guests: Heather Blonsky Lead Data Scientist Vizient Moderator: Margaret Rudisill PI Program Director Vizient   Show Notes: [01:27 – 04:04]  Why and how the Vizient Vulnerability Index tool was created [04:05 – 06:09]  Homelessness and how it impacts health? [06:10 – 10:02]  Other factors that are common in the top 2% utilizers and utilization of Z codes [10:03 – 11:39]  How hospitals use that and Heather's advice [11:40 – 14:05]  What do hospitals do when you they identify these needs [14:06 – 15:06]  How Vizient attempts to tie those 2% needs with the VVI and how beneficial it might be   Links | Resources: For more information, email picollaboratives@vizientinc.com   Subscribe Today! Apple Podcasts Spotify Google Podcasts Android RSS Feed

Before joining CueIn last year as a Founding Data Scientist, Melissa was a Lead Data Scientist at Salesforce working on the Einstein Platform that focused on automating Data Science workflows. In this conversation we dive into Melissa's unique journey, what to do in the face of increasing job automation and explore the latest developments in practical AI. Segments: [00:02:13] Melissa's background in computational neuroscience [00:06:08] 7 years at Salesforce vs startup [00:11:31] Joining CueIn [00:19:30] Chatbot observability [00:28:16] Feedback loops [00:33:10] Use LLM to observe.. LLMs? [00:39:06] AI automating jobs [00:43:01] Doing ML in 2017 vs now [00:50:35] Few shot learning, Hugging Face Show Notes: Melissa's Linkedin: https://www.linkedin.com/in/melissajanerunfeldt/ Stay in touch:

Jae Lee is the cofounder and CEO of Twelve Labs, where they are building video understanding infrastructure to help developers build programs that can see, hear, and understand the world. He was previously the Lead Data Scientist at the Ministry of National Defense in South Korea. He has a bachelors in computer science from UC Berkeley. In this episode, we cover a range of topics including: - What is multimodal video understanding - State of play in multimodal video - The founding of Twelve Labs - The launch of Pegasus-1 - Four core principles: Efficient Long-form Video Processing, Multimodal Understanding, Video-native Embeddings, Deep Alignment between Video and Language Embeddings - Differences between multimodal vs traditional video analysis - In what ways can malicious actors misuse this technology? - The future of multimodal video understanding Jae's favorite books: - Deep Learning (Authors: Ian Goodfellow, Yoshua Bengio, Aaron Courville)- The Giving Tree (Author: Shel Silverstein)--------Where to find Prateek Joshi: Newsletter: https://prateekjoshi.substack.com Website: https://prateekj.com LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19 Twitter: https://twitter.com/prateekvjoshi 

Welcome to another captivating episode of the Women in Data® Podcast! Today Karen is joined by two exceptional experts in the field: Michelle Conway, Lead Data Scientist at Lloyds Banking Group, and Sarah Schlobohm, Head of AI and Particle Physicist. Together they discuss the world of Machine Learning Ops.  A central theme of the discussion revolves around the lifecycle of MLOps and the concept of Machine Learning as a "solution to a problem”. Michelle, Sarah and Karen delve into this idea, stressing the importance of identifying the right opportunities for Machine Learning to truly be effective. They discuss how businesses can avoid falling into the trap of implementing ML without a clear understanding of appropriate applications.  They also highlight how Machine Learning doesn't operate in isolation but requires seamless integration with other data departments, such as data governance. This comprehensive approach ensures that ML initiatives are well-aligned with the overall data strategy of the organisation, leading to more successful outcomes.  This episode is a must-listen for anybody looking to learn more about ML Ops and the potential applications of this exciting field. 

Join us for an insightful episode of Data Bytes as we explore "The Future of Data Science" with Dr. Jodie Burchell, Developer Advocate in Data Science at JetBrains and former Lead Data Scientist at Verve Group Europe. With a diverse background in clinical psychology, biostatistics, and extensive data science experience, Dr. Burchell provides valuable insights. We delve into two key topics: Data Science Evolution: Discover how the role of data science has transformed over the last decade and what lies ahead with AI advancements. Bias-Free Hiring: Learn how to address bias in hiring practices from Dr. Burchell's perspective as a hiring manager and create a more inclusive recruitment process. Additionally, Dr. Burchell shares her unconventional career journey and offers advice for aspiring data scientists. In a rapid-fire round, we get to know her personal interests and goals. Tune in for a candid, unscripted conversation. Connect with Dr. Burchell on LinkedIn and Twitter, and stay updated on Data Bytes for more captivating discussions. Stay curious and creative! Connect with Dr. Jodie Burchell: Twitter: https://twitter.com/t_redactyl Mastodon: @t_redactyl@fosstodon.org Blog: https://t-redactyl.io/ GitHub: https://github.com/t-redactyl JetBrains: https://www.jetbrains.com/ --- Support this podcast: https://podcasters.spotify.com/pod/show/women-in-data/support

Better use of data is key to more effective government. Across government, teams are doing fascinating work with data. But those projects don't get the attention they deserve. Data Bites aims to change that. This event was the 45th in our series, where the speakers presented their work in an exciting, quickfire format. Each speaker had eight minutes, followed by eight minutes of questions from the audience. This month's speakers were: Penny Babb, Head of Policy and Standards at the Office for Statistics Regulation, on the review of the Code of Practice for Statistics. Ian Gordon, Head of Data at Parliament Restoration and Renewal on Data and the Built Environment Nic Granger, Director of Corporate and Chief Financial Officer at the North Sea Transition Authority and Chair of the Offshore Energy Data Strategy Taskforce, on digitalising offshore energy Kaveh Jahanshahi, Lead Data Scientist at the ONS Data Science Campus, on estimation of travel to work matrices The event was chaired by Gavin Freeguard, Associate at the Institute for Government.

Stefan Jansen is the author of the widely read ‘Machine Learning For Algorithmic Trading'. He is the founder and Lead Data Scientist at Applied AI. He advises Fortune 500 companies, investment firms and startups across industries on data & AI strategy and developing machine learning solutions. Before his current venture, he was a partner at Infusive, an international investment firm, where he built the predictive analytics and investment research practice. He also was a senior executive at Rev Worldwide, a global fintech company focused on payments. Earlier, he advised Central Banks in emerging markets, and consulted for the World Bank. In this podcast we discuss what benefits does machine learning bring that other techniques don't have, t he challenge of using machine learning in finance, u ses for ChatGPT and LLMs, and much more.   Follow us here for more amazing insights: https://macrohive.com/home-prime/ https://twitter.com/Macro_Hive https://www.linkedin.com/company/macro-hive

Over the coming weeks we are lining up some really awesome guests on the podcast to cover the state of battery build-out in the US, and more specifically ERCOT. To give some context for these upcoming episodes, we are bringing you an introduction to ERCOT in today's episode.Quentin sits down with Alex Done (Lead data scientist at Modo Energy) to give us an outline of this fascinating market and some of the differences between how things work in Texas vs Great Britain. Over the course of the conversation, they discuss: What ERCOT does, and how it operates.The differences in operations and demand between Great Britain and ERCOT .How extreme weather events like Storm Yuri have highlighted a need for change within ERCOT.What do the current revenue generation trends look like?What does the future buildout look like over the next couple of years.About ModoModo is the all-in-one Asset Success Platform for battery energy storage. It combines in-depth data curation and analysis, asset revenue benchmarking, and unique research reports - to ensure that owners and operators of battery energy storage can make the most out of their assets. Modo's paid plans serve more than 80% of battery storage owners and operators in Great Britain.To keep up with all of our latest updates, research, analysis, videos, podcasts, data visualizations, live events, and more, follow us on Linkedin.Connect with Alex on Linkedin.If you want to peek behind the curtain for a glimpse of our day-to-day life in the Modo office(s), check us out on Instagram.

(Part 2) Unlock the electrifying future of transportation with us in this Climate Mayhem episode as we chat with Austin Zaccor, former Lead Data Scientist at EVgo, one of the US's largest public fast charging networks. Discover why only 2-4% of cars in the US are electric, even though 140 million people live near an EVgo fast charger, and explore how data-driven solutions can revolutionize the EV landscape. Austin, an MIT Masters graduate in Business Analytics, divulges his expertise in determining optimal locations for future EVgo stations. Immerse yourself in the future of electric car charging and sustainable transportation in this captivating episode. Check out https://climatemayhem.com/austin-part-2 for show notes and be sure to subscribe to Climate Mayhem on your favorite podcast platform.   Connect with Ty Wolfe-Jones and Jakub Kubicka With Ty Wolfe-Jones on LinkedIn With Ty Wolfe-Jones on Twitter With Jakub Kubicka on LinkedIn With Jakub Kubicka on Twitter   Subscribe to Climate Mayhem On any podcast platform Read all show notes at climatemayhem.com Ask a question or suggest a topic on our What-The-Climate Listener Mail Form  

Austin Zaccor was formerly the lead Data Scientist at EVgo, one of the US's largest public fast charging networks, with 850 charging locations and growing quickly! They're on a mission to speed up mass adoption of electric vehicles by cranking up the convenience factor. More than 140M people in the U.S. live within a 10 mile drive of an EVgo fast charger, but only 2-4% of the 250M cars in the US are EVs. Why is that? Find out in today's episode. Austin is an MIT Masters graduate in Business Analytics and a data wiz with an impressively powerful left brain. As of recent, Austin used data to predict the best locations for each future EVgo station. Show notes can be found at https://climatemayhem.com/austin. Subscribe to Climate Mayhem on any podcast platform.   Connect with Ty Wolfe-Jones and Jakub Kubicka With Ty Wolfe-Jones on LinkedIn With Ty Wolfe-Jones on Twitter With Jakub Kubicka on LinkedIn With Jakub Kubicka on Twitter   Subscribe to Climate Mayhem On any podcast platform Read all show notes at climatemayhem.com Ask a question or suggest a topic on our What-The-Climate Listener Mail Form  

In the past, hiring decisions were made by people. Today, some key decisions that lead to whether someone gets a job or not are made by algorithms. The use of AI-based job interviews has increased since the pandemic. As demand increases, so too do questions about whether these algorithms make fair and unbiased hiring decisions, or find the most qualified applicant. In this second episode of a four-part series on AI in hiring, we meet some of the big players making this technology including the CEOs of HireVue and myInterview—and we test some of these tools ourselves. We Meet:  Kevin Parker, Chairman & CEO, HireVue Shelton Banks, CEO, re:work Mark Adams, Vice President of North America, Curious Thing AI Benjamin Gillman, Co-Founder and CEO, myInterview Fred Oswald, Psychology Professor, Rice University  Suresh Venkatasubramanian, Computer Science Professor, Brown University Clayton Donnelly, industrial-organizational psychologist, myInterview We Talked To:  Kevin Parker, Chairman & CEO, HireVue Lindsey Zuloaga, Chief Data Scientist, HireVue Nathan Mondragon, Chief IO Psychologist, HireVue Shelton Banks, CEO, re:work Lisa Feldman Barrett, Psychology Professor, Northeastern University Cathy O'Neil, CEO, O'Neil Risk Consulting & Algorithmic Auditing Mark Adams, Vice President of North America, Curious Thing AI Han Xu, Co-founder & CTO, Curious Thing AI Benjamin Gillman, Co-founder & CEO, myInterview  Fred Oswald, Psychology Professor, Rice University  Suresh Venkatasubramanian, Computer Science Professor, Brown University Clayton Donnelly, industrial-organizational psychologist, myInterview Mark Gray, Director of People, Proper Christoph Hohenberger, Co-founder and Managing Director, Retorio Derek Mracek, Lead Data Scientist, Yobs Raphael Danilo, Co-founder & CEO, Yobs Jonathan Kestenbaum, Co-founder & Managing Director of Talent Tech Labs Josh Bersin, Global Industry Analyst Students and Teachers from the Hope Program in Brooklyn, NY Henry Claypool, policy expert and former Director of the U.S. Health and Human Services Office on Disability Sounds From:  Curious Thing AI  myInterview  Dolly Parton - 9 To 5: https://www.youtube.com/watch?v=UbxUSsFXYo4 Arirang News: https://www.youtube.com/watch?v=30oCHwwLxy4 CBS News: https://www.youtube.com/watch?v=fbRBCU6SHHo  CBS Philly: https://www.youtube.com/watch?v=0wiPoCsZFFs  Credits: This miniseries on hiring was reported by Hilke Schellmann and produced by Jennifer Strong, Emma Cillekens, Karen Hao and Anthony Green with special thanks to James Wall. We're edited by Michael Reilly. Art direction by Stephanie Arnett.

This week on the Virtually Speaking Podcast, Lead Data Scientist, Ian Pytlarz shares how Purdue University developed a system to help contain the spread of COVID-19, allowing them to continue operations in person from fall 2020 onward. This data-driven decision making system was built on VMware Greenplum. Read more

"Trustworthy AI does not happen accidentally - it takes deliberate work to thoughtfully expose the internal workings of an AI system to various stakeholders. " So says Stefan van der Stockt, Lead Data Scientist, Master Inventor at IBM Data & AI. You won't want to miss this episode as we discover cognitive biases of AI agents, ethics in AI, and the surprising practical applications already on hand.

This week, Karen is joined by Adriana Beal, Lead Data Scientist at Slalom. If you're looking to take ownership of your career, or mentor someone who is, this episode is for you. In this conversation, Adriana shares her best advice to data analysts and data scientists who want to take the driving seat. You will also hear about why she prefers working as a consultant rather than as a full-time employee, and how to translate a business problem into a data science project.  Enjoy!  **************************  Show notes:  **************************  Adriana's LinkedIn: https://www.linkedin.com/in/adrianabeal/  She recommends:  Deep Questions Podcast: https://www.calnewport.com/podcast/  Behavioral Grooves Podcast : https://behavioralgrooves.com/  Find your T shape: https://bealprojects.com/resources/finding-your-t-shaped-strength/   

What is the secret for creating lasting change and becoming who we really want to be? How do we unlock our potential for more fulfillment, massive productivity, and life-altering insights? In this episode, we explore the leading research in neuroscience, flow state, and habit formation, and how psychedelic practices assist in unlocking a world of exploration and creativity for our generation of visionary leaders. Learn how to work with your neurobiology to create more positive habits in your life with more ease and effectiveness, how to increase your ability to learn and retain information, how to unlock insights and ideas and enhance your mental wellbeing, and how to transform yourself. Get ready for a crash course in neuroscience as I interview Conor Murphy who integrates AI, neuroscience, and venture capital as a Lead Data Scientist at Databricks and a Founding Limited Partner at Lionheart Ventures. In the field of AI, he is a subject matter expert in deep learning and distributed machine learning having held various positions such as a faculty role at University of New Haven's graduate program for Data Science and lead consultant across various stage companies and industry domains. Resources: (Book) https://www.amazon.com/Big-Leap-Conquer-Hidden-Level/dp/0061735361 (Guy Hendricks: The Great Leap) https://lauradawn.co/ep-18-the-5-massive-benefits-of-flow-states-for-entrepreneurs-whats-a-microdosing-mastermind/ (Episode #18 of the Psychedelic Leadership Podcast: 5 Massive Benefits of Flow States for Entrepreneurs ) https://lauradawn.co/ep-48-catalyze-change-an-8-step-method-for-leveraging-psychedelics-neuroscience-integration-to-uplevel-your-life-with-laura-dawn/ (Episode #48 of the Psychedelic Leadership Podcast Catalyze Change: An 8 Step Method for Leveraging Psychedelic Neuroscience to Uplevel Your Life. ) https://lauradawn.co/free-music-playlists/ (4 Free Playlists For Psychedelic Journeys & Beyond) https://lauradawn.co/free-microdosing-course/ (Free 8 Day Microdosing Course) https://instagram.com/livefreelaurad (Follow @LiveFreeLauraD on Instagram) https://www.lauradawn.co/57 (Click here to access this episode's page complete with a full transcript, more about the author, and complete list of resources.) Rate, Review, & Follow on Apple Podcasts"I love Laura Dawn and The Psychedelic Leadership Podcast.”

Trevor Sidery is a Lead Data Scientist at Tesco PLC. In this episode, Trevor unveils the mystery of how astrophysics and fluid dynamics studies leads to forecasting.Trevor discusses the forecasting process within large retail company, and which business component models are predicting and how models are selected. He elaborates on best practices on scaling forecasting models on large amount of time series.

Danny Gomez and Francisco Alvarez, Lead Data Scientist at Convoy talk about the increase in extreme weather and how that impacts transportation. Fransisco discuss how weather aware the industry is and the important role transportation plays in helping to reduce emissions.Port X Logistics is your easy button for your drayage, transload, and trucking needs for all ports and ramps in the United States and Canada. Our four pillars of Culture, Service, Tech, and Trucks are what set us apart from the rest. We provide full visibility from the second your container leaves the origin port to the final stage of delivery.Follow Net-Zero Carbon on Apple PodcastsFollow Net-Zero Carbon on SpotifyMore FreightWaves Podcasts

In this second episode, we have our first guest of the season who happens to be one of my good friends, Melissa Ngamini, PHD. She is a Lead Data Scientist at ADP. We talked about her journey to getting her PHD, how she made her decision, how she funded her studies and any advice for aspiring doctorate students.Just in case you are unaware of it, I have an instagram page where I post motivational content and other good stuff. I am also on Linkedin too!If you want to follow her on Linkedin, click HERE!If you like this podcast, feel free to rate it or leave a feedback. Thanks for the love and the support!

In this episode, natural language processing (NLP) expert and Lead Data Scientist at CB Insights, Rongyao Huang, joins Jon Krohn to discuss NLP. Listen in for a thorough review of the field over the past decade and how the coming iron age of NLP will help us overcome the limitations of today's approaches. In this episode you will learn: • The evolution of NLP techniques over the past decade [4:14] • What's next in the coming iron age of NLP [35:33] • Rongyao's Bauhaus-inspired model for effective data science [43:12] • Rongyao's long-term career pathfinding framework [51:50] • Rongyao's top tips for staying sane while juggling career and family [1:00:30] Additional materials: www.superdatascience.com/583

Better use of data is key to more effective government. Across government, teams are doing fascinating work with data. But those projects don't get the attention they deserve. At this month's event, the 30th in our series, the speakers presented their work in an exciting, quickfire format. Each speaker had eight minutes, followed by eight minutes of questions from the audience. This month's speakers were: Alannah Keogh, Data Analyst, Social Investment Business, on using data to improve grant decision making Richard Oakley, Director of Data Science and AI at Methods Analytics, on 'Data science and AI in Government – more accessible than you think' Andrew Banks, Lead Data Scientist at the ONS Data Science Campus, on experimental analysis showing how the lowest priced everyday grocery items have changed in price Mark Thompson, Professor in Digital Economy at the University of Exeter, on the challenges of getting the foundations right for embracing public sector innovation. The event was chaired by Gavin Freeguard, Associate at the Institute for Government.

James Edgell, Lead Data Scientist for the UK's largest hotel brand Whitbread joins Wendy on Would You Data Scientist this week to tell you about his career in data. As it’s mental health awareness week, Wendy and James also have an open and honest conversation about depression, loneliness, burnout, and stress. If you find yourself struggling with any of the issues raised please see the help links in the resources below. KEY TAKEAWAYS James joined Whitbread, the company that owns Premier Inn, as an analyst with the goal of becoming a data scientist. His role now focuses on customer data science relating to optimising marketing activities and working with the brands contact centre to ensure they don’t lose customers who have complaints. While at University, James lost someone close to him causing depression to trigger and took a year out. Taking this year out allowed James to remove the pressure of University while dealing with depression and when he went back he was able to succeed to the level he wanted to. Covid was actually really good for Wendy, it allowed her to spend time resting and recovering from burnout and if it hadn’t happened then she wouldn’t have had the time to stop. There is a stigma around taking antidepressants but all it’s doing is balancing the serotonin levels in your brain to a normal level. We wouldn’t judge someone taking iron tablets if they had an iron deficiency. As a hiring manager, James looks for someone who can demonstrate a passion for learning. He describes data as a marathon, where you need to keep going and keep learning because new things will always come up. You can’t just run the race. James both does and doesn’t think that you need a masters degree to get into data. He feels the communication side he was taught has been so valuable, not that it can’t be picked up on the job, but it will take longer. On the other hand it’s not something he actually considers when hiring candidates. BEST MOMENTS ‘I’m so happy when I find someone a job they love’ ‘Comparing yourself to other people is just not helpful’ ‘You have a health check up, why not have a mental health check up’ ‘I’m getting to work with really cool data science techniques and learn new things everyday’ VALUABLE RESOURCES Ripple suicide prevention - https://www.ripplesuicideprevention.com/ Samaritans - https://www.samaritans.org/ Want to check out the meditation app Waking Up with me? You'll receive free unlimited access for 30 days. https://dynamic.wakingup.com/shareOpenAccess/da0b6d James on LinkedIn linkedin.com/in/ethicalrecruiter qwerkrecruitment.com @qwerkrec on socials ABOUT THE HOST Wendy Gannon started Qwerk Recruitment in the middle of the Covid Pandemic to disrupt the recruitment sector with ETHICAL data recruitment and treat everyone with love, dignity and respect. Avid Music photographer of 15 years. PODCAST DESCRIPTION Interviewing successful Data Scientists to find out about their journey into Data Science and any struggles they’ve faced to help next generation Data Scientists from all walks of life to access their dream career.See omnystudio.com/listener for privacy information.

This week, Karen is joined by Gelareh Taghizadeh, Lead Data Scientist at Beamery and an active member of the Women of MENA in technology community. At the time of the recording, Gelareh was working at Cogx, and in this episode, she gives a detailed explanation of how Artificial Intelligence and Natural language processing are revolutionising the podcasting industry. You will, for example, hear about how graph-based summarisers enable snippet identification. You will also hear about the role cloud computing and deep learning played in improving algorithms' performance, allowing the integration of NLP in our daily lives, as well as the top skills needed to make a start in data science and NLP. Gelareh closes the conversation by explaining how through knowledge and idea-sharing, and by showing what's possible, London's NLP community helped her nurture her passion. ************************* Show notes ************************* Connect with Geraleh on LinkedIn: https://www.linkedin.com/in/gelareh-taghizadeh-247b3435/    

Bianca Ferri is Lead Data Scientist at SparkBeyond and joins Wendy this week on Would You Data Scientist to discuss diversity in the workplace, why AI isn’t scary, the advantages of University, and how networking can be so helpful when you’re getting started in data science. KEY TAKEAWAYS One of the early data projects Bianca worked on was using genetic algorithms to find the optimal design of massive oil rigs. From this she began working on the machine learning side of the business as a customer facing data scientist. It’s all about networking. Talk to people and try to get involved, even if it’s not high end complicated stuff, it will help you get familiar with data and people will get to know you. Bianca believes that University will give you a middle ground to learn things in a safer environment. If you allow bias data into your data set, then you will have a bias outcome. For this you usually need a real person to oversee and check the data. Don’t doubt yourself or compare yourself to anyone else. BEST MOMENTS ‘I was lucky enough to direct my career towards data’ ‘Offer your help even if it doesn’t sound like the most exciting work at the start’ ‘Just ask someone if they can help you, but don’t take the mick’ ‘It’s not just the content or the outcome, it’s who you’re working with’ ‘I never felt like being a woman was holding me back’ VALUABLE RESOURCES Bianca on LinkedIn linkedin.com/in/ethicalrecruiter qwerkrecruitment.com @qwerkrec on socials ABOUT THE HOST Wendy Gannon started Qwerk Recruitment in the middle of the Covid Pandemic to disrupt the recruitment sector with ETHICAL data recruitment and treat everyone with love, dignity and respect. Avid Music photographer of 15 years. PODCAST DESCRIPTION Interviewing successful Data Scientists to find out about their journey into Data Science and any struggles they’ve faced to help next generation Data Scientists from all walks of life to access their dream career.See omnystudio.com/listener for privacy information.

How does keeping your GitHub page up to date make you more employable? Yiannis Pitsillides, Lead Data Scientist at Endeavor joins Wendy this week on Would You Data Scientist to discuss that topic, the future of data, photography, his advice for starting out in data science, and Yiannis shares the story of how he worked his way up to where he is today. KEY TAKEAWAYS The main hurdle Yiannis had to overcome when getting into data was the formula and the maths side. He found learning this alongside the other components was very difficult to do together. His biggest piece of advice is that you can find so much open source code on Google. When pivoting to data, Yiannis recommends having something on your CV that shows you can handle software and the maths side. Also Yiannis looks for a GitHub profile to look through a candidate's skills. The worst advice Yiannis ever got was to throw himself into deep learning, that’s too much for anyone just starting out in data to take on. BEST MOMENTS ‘I highly recommend you update your GitHub profiles’ ‘Stick to the basics’ ‘I think I’ve only ever met two female data engineers’ EPISODE RESOURCES Yiannis on LinkedInYiannis on YouTubehttps://www.widsconference.org/https://www.womenintech.co.uk/ VALUABLE RESOURCES linkedin.com/in/ethicalrecruiterqwerkrecruitment.com@qwerkrec on socials ABOUT THE HOST Wendy Gannon started Qwerk Recruitment in the middle of the Covid Pandemic to disrupt the recruitment sector with ETHICAL data recruitment and treat everyone with love, dignity and respect. Avid Music photographer of 15 years. PODCAST DESCRIPTION Interviewing successful Data Scientists to find out about their journey into Data Science and any struggles they’ve faced to help next generation Data Scientists from all walks of life to access their dream career.See omnystudio.com/listener for privacy information.

Manny Bernabe is the founder and CEO of bigplasma.ai, a company helping industrial companies and manufacturers build new data products and automate work with analytics and machine learning. Before launching bigplasma.ai, Manny was the Head of AI Product and Lead Data Scientist at Uptake, an AI industrial IoT startup which was listed as #3 on Forbes Most Promising AI Companies in America in 2019. Prior to joining Uptake, Manny held the role of Investment Strategist for FlexShares, a product line of Northern Trust Asset Management. At FlexShares, Manny designed and launched quantitative financial products totaling +$13 billion in assets under management. Manny earned his B.S. in Finance (Honors) from DePaul University, a Data Science Specialization from Johns Hopkins University, and has passed all three levels of the Chartered Financial Analyst (CFA) exam series.

In this episode, we're introduced to Christopher Peter Makris, AKA CPM. Graduating from CMU with a Bachelor's degree in Statistics and a Master's degree in Statistical Practice, this Dietrich alum shares his journey from overloading CMU student to Executive Director of the MSP Program, to his current role as Lead Data Scientist at Dataiku. Listen as CPM talks about dancing, drive, and how he takes steps to balance his very busy life.

If you haven't listened to Episodes 27 and 32, definitely go back and listen!  We are following Tony's journey, literally from DAY 1 in his PhD program all the way through the end!  Forever grateful for the idea Dr. Jean Wilson! In today's episode, Mr. Tony Fantasia shares how he's narrowed/narrowing down his research focus.  He's exploring the factors that make some people more susceptible to being influenced by information warfare and game theory than others.  Tony completed his undergrad at American Military University with a Bachelors in IT Management and earned his MBA with a focus in IT Management from the same institution. He's currently enrolled in a PhD program at the University of North Texas in the School of Information Science.Please share this episode and others with your friends and family!Today, Tony is the Lead Data Scientist with the Air Force Civil Engineering Command - Air Force Installation Management Service Command and had just completed his first day of school for his doctoral program when we connected!Early in his career, Tony served as an Army combat medic.  It was during a deployment to Afghanistan in the Spring of 2000 when he developed a web-based trauma catalogue to support the efforts at the combat support hospital where he was assigned.At the time he didn't know it, but it was his work during that deployment that ultimately led him to pursue a PhD in his current field of study.Tony is a fantastic artist and skilled in leather work.  View his work using the links below.I'd  love to hear how you're enjoying the podcast! Please leave a review here and wherever you listen to your podcasts. I'd certainly appreciate it.  It helps me improve the show and tailor it more to your needs and the needs of other listeners.Connect with Tony:www.facebook.com/fantasiacustomdesignswww.fantasiacustomdesigns.comwww.vetcraft.orghttps://tonyfantasia.wixsite.com/traumamedJoin the Doc Talk Community: The Doctoral Collaborative: Venturing Beyond a Master's | FacebookLike The Doc Talk Page: https://www.facebook.com/beyondamasters

The GreyBeards move up the stack this month with a talk on big data and data analytics with Sean Owen (@sean_r_owen), Data Science lead at Databricks and Apache Spark committee and PMC member. The focus of the talk was on Apache Spark. Spark is an Apache Software Foundation open-source data analytics project and has been … Continue reading "123: GreyBeards talk data analytics with Sean Owen, Apache Spark committee/PMC member & Databricks, lead data scientist"

Jessica Leong is the President of the Casualty Actuarial Society and the Lead Data Scientist at Zurich North America.Jessica used her conversational Jiu Jitsu powers to make me talk a fair bit more than usual in this episode and it turns out I had some things to get off my chest about being an actuary!We discuss:-How do we define what an actuary is. There are different ways to approach this question!-How might we have thought about the defunct CAS SOA merger?-Are the exams getting harder? Why?-The culture of being an actuary-How does Jessica introduce herself at dinner parties?Thanks for listening!Show notes:https://wordpress.com/post/notunreasonable.com/7299

Every day there are literally billions of authentications across Microsoft – whether it's someone checking their email, logging onto their Xbox, or hopping into a Teams call – and while there are tools like Multi-Factor Authentication in place to ensure the person behind the keyboard is the actual owner of the account, cyber-criminals can still manipulate systems. Catching one of these instances should be like catching the smallest needle in the largest haystack, but with the algorithms put into place by the Identity Security team at Microsoft, that haystack becomes much smaller, and that needle, much larger. On today's episode, hosts Nic Fillingham and Natalia Godyla invite back Maria Puertos Calvo, the Lead Data Scientist in Identity Security and Protection at Microsoft, to talk with us about how her team monitors such a massive scale of authentications on any given day. They also look deeper into Maria's background and find out what got her into the field of security analytics and A.I. in the first place, and how her past in academia helped that trajectory.   In this Episode You Will Learn: How the Identity Security team uses AI to authenticate billions of logins across Microsoft Why Fingerprints are fallible security tools How machine learning infrastructure has changed over the past couple of decades at Microsoft Some Questions that We Ask: Is the sheer scale of authentications throughout Microsoft a dream come true or a nightmare for a data analyst? Do today's threat-detection models share common threads with the threat-detection of previous decades? How does someone become Microsoft's Lead Data Scientist for Identity Security and Protection? Resources: #IdentityJobs at Microsoft Maria's First Appearance on Security Unlocked, Tackling Identity Threats with A.I. Maria's Linkedin Microsoft Security Blog Nic's LinkedIn Natalia's LinkedIn Related: Listen to: Afternoon Cyber Tea with Ann Johnson Listen to: Security Unlocked: CISO Series with Bret Arsenault  Security Unlocked is produced by Microsoft and distributed as part of The CyberWire Network.