Building Large-Scale Personalization & Recommendation Systems nitter.cf/i/broadcasts/1rmxPvoQv…

Next on #DSSBreak: Saras Nowak, Product Lead at Mapbox, on architecting Agentic AI — infrastructure, evaluation, and real-time decisioning. Learn how to build autonomous, context-aware AI systems that scale! #AgenticAI #AIInfrastructure #MachineLearning nitter.cf/i/broadcasts/1rmxPvMbw…

This week on DSS Break: AI x Secure Infrastructure: We’re going live with Raghava Chellu (Equifax) to unpack how AI is transforming Managed File Transfer, encryption, and enterprise ops. Security meets intelligence. Don’t miss it. #AI #DataOps nitter.cf/i/broadcasts/1yoJMPOQR…

We’re joined by Laura Gabrysiak, VP of AI & Data Strategy @genniusxyz, to explore scaling AI in tokenized loyalty programs. From secure personalization to real-world ML deployment—don’t miss her session at #DSSMIA #WomenInTech #MachineLearning nitter.cf/i/broadcasts/1mnxeNBkY…

We’re joined by Deeksha Mishra, Data Science Manager @Meta, for a convo on driving business impact through experimentation & A/B testing. From KPIs to growth levers—don’t miss her at #DSSMIA #DataScience #WomenInTech nitter.cf/i/broadcasts/1zqKVdwQW…

Mrunal Gangrade, VP of Data & GenAI @jpmorgan, joins us to talk #ethicalAI in healthcare, operational #AI, & building cross-functional systems that work. A must-listen ahead of #DSSMIA! nitter.cf/i/broadcasts/1lPKqvrLV…

𝗘𝗽𝗶𝘀𝗼𝗱𝗲 𝟱𝟬 𝗗𝗥𝗢𝗣! We sit down with Sasi Chanthati @TRowePrice to talk #LLMs, secure digital frameworks, real-time analytics & building intelligent systems in finance. A must-listen for fintech & #AI pros. 🎧 Listen now → datascience.salon/episode-50… #FinTech #MachineLearning

New Podcast Drop: 𝗔𝗜-𝗗𝗿𝗶𝘃𝗲𝗻 𝗙𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 𝗮𝗻𝗱 𝗟𝗲𝗮𝗱𝗶𝗻𝗴 𝗗𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆 𝗶𝗻 𝗤𝘂𝗮𝗻𝘁𝗶𝘁𝗮𝘁𝗶𝘃𝗲 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 🎧 join Akhil Khunger, VP of Quantitative Analytics at @Barclays to discuss the evolving role of #AI in financial modeling and the importance of diversity in building high-performance teams. Listen now: datascience.salon/episode-47… #MachineLearning #Finance #RiskManagement

Next DSSBreak with Yashasvi Singh, Sr. Data Analyst at @NavyFederal will explore how strong #DataGovernance and analytics can drive smarter business decisions. nitter.cf/i/broadcasts/1yoKMoerl…

Next DSSBreak with Anmolika Singh @StanleyBlkDeckrLearn about her journey in #DataScience, real-world #MachineLearning applications, and advice for building a career in tech. nitter.cf/i/broadcasts/1OdJrDelz…

Missed #DSSSEA? Good news — all sessions are now available on demand for the next two weeks! Watch now: datascience.salon/seattle/ Catch insights from top data leaders at Amazon, Walmart, Microsoft, Meta, Adobe, and more as they dive into AI-powered pricing, supply chain innovation, #generativeAI, #syntheticdata, and beyond. #RetailAI #retial #ecommerce

Meet the speakers shaping the future of #retailAI at #DSSSEA on April 16: datascience.salon/seattle/ 🧠 Nandita Krishnan @Adobe 💬 Rossella Blatt Vital @SproutSocial 📈 Amit Dhanda @Amazon 🛒 Jitender Jain @Walmart 𝗙𝗿𝗲𝗲 + 𝘃𝗶𝗿𝘁𝘂𝗮𝗹! 𝗦𝗮𝘃𝗲 𝘆𝗼𝘂𝗿 𝘀𝗽𝗼𝘁 #MachineLearning #AI #DataScience

𝗡𝗲𝘄 𝗗𝗦𝗦 𝗣𝗼𝗱𝗰𝗮𝘀𝘁 𝗘𝗽𝗶𝘀𝗼𝗱𝗲 𝗗𝗿𝗼𝗽! 𝘉𝘦𝘺𝘰𝘯𝘥 𝘵𝘩𝘦 𝘕𝘶𝘮𝘣𝘦𝘳𝘴: 𝘓𝘦𝘢𝘥𝘦𝘳𝘴𝘩𝘪𝘱, 𝘋𝘪𝘷𝘦𝘳𝘴𝘪𝘵𝘺, 𝘢𝘯𝘥 𝘋𝘢𝘵𝘢 with Natalie Cramp Partner at @JMANGroup 🎧 datascience.salon/episode-44… Dive into the transformative world of #DataScience as we explore #leadership #diversity and impactful data use Tune in us for inspiring insights on how data shapes industries and champions change. #MachineLearning #DiversityInTech #WomenInData

This week on DSS Break, we chat with Amazon Data Engineer Jinal Mehta about scaling data pipelines to power supply chain insights across multi-vendor ecosystems. 🛠️📦 #DataEngineering #AI #DSSSEA nitter.cf/i/broadcasts/1djxXVkBA…

Next week: #DSSNYC Meetup is coming up on March 12! Join us for an evening of AI, Fintech & Networking! lu.ma/hvrs3c5d Speaker: Priyam Ganguly, Data Analyst HanwhaQCells USA Session: AI-Driven Financial Inclusion & Innovation March 12 | 6-9PM | Narra Collective, 333 Washington St F3, Jersey City, NJ #AI #Fintech #DataScience #MachineLearning #GenAI

Up Next: #DSSSEA – 𝗔𝗜 & 𝗠𝗟 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗶𝗻 𝗥𝗲𝘁𝗮𝗶𝗹 𝗮𝗻𝗱 𝗘-𝗖𝗼𝗺𝗺𝗲𝗿𝗰𝗲! On April 16 in Seattle! datascience.salon/seattle/ Join us as we explore applications in personalization, demand forecasting, customer analytics, and operational efficiency, featuring top AI, ML & data science leaders, including: 🔸 Apurva Kumar – Principal Software Engineer at Walmart Global Tech 🔸 Medha Gupta – Senior Data Engineer at Beyond, Inc. 🔸 Jitender Jain – Sr. Manager/Staff Software Engineer at Walmart 🔸 Anusha M. – Staff Data Scientist at Snap Inc. 🔸 Srinivas Murri – Lead Data Engineer at Meta 🔸 Amit Dhanda – Sr Scientist at Amazon 🔸 Sriram Selvam – Senior Software Engineer at Microsoft 🔸 Jinal Mehta – Data Engineer at Amazon Enjoy expert talks, real-world case studies, technical deep dives and actionable insights from those leading AI-driven #retailinnovation. #DataScience #GenAI #MachineLearning #RetailTech #Ecommerce #AI

𝐅𝐞𝐚𝐭𝐮𝐫𝐞 𝐒𝐞𝐥𝐞𝐜𝐭𝐢𝐨𝐧 𝐢𝐧 𝐌𝐋: 𝐖𝐡𝐲 𝐈𝐭 𝐌𝐚𝐭𝐭𝐞𝐫𝐬 More features ≠ Better models! Too many variables can lead to overfitting & slow performance. 📖 Read here 👉roundtable.datascience.salon… In this blog, Ashwin Viswanathan Kannan, Ph.D. covers: ✅ Why feature selection is crucial ✅ Key methods: Filter, Wrapper & Embedded ✅ Python examples & best practices What’s your go-to feature selection technique? #MachineLearning #DataScience #AI

𝐃𝐢𝐝 𝐲𝐨𝐮 𝐤𝐧𝐨𝐰 𝐭𝐡𝐚𝐭 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐢𝐬 𝐧𝐨𝐰 𝐜𝐚𝐥𝐥𝐞𝐝 𝐕𝐢𝐧𝐭𝐚𝐠𝐞 𝐀𝐈? Real talk from a panel: Generative AI: Seizing Opportunities and Overcoming Challenges in the Enterprise 𝗟𝗜𝗩𝗘 𝗮𝘁 @Oracle HQ in Austin #DSSATX! #machinelearning #AI #GenAI

𝗡𝗘𝗪 𝗣𝗼𝗱𝗰𝗮𝘀𝘁 𝗗𝗥𝗢𝗣! In this episode we sit down with two data leaders from @Nordstrom to explore these topics: 𝘏𝘰𝘸 𝘥𝘰 𝘺𝘰𝘶 𝘣𝘶𝘪𝘭𝘥 𝘵𝘦𝘤𝘩𝘯𝘪𝘤𝘢𝘭 𝘦𝘹𝘤𝘦𝘭𝘭𝘦𝘯𝘤𝘦 𝘪𝘯 𝘢 𝘨𝘳𝘰𝘸𝘪𝘯𝘨 𝘥𝘢𝘵𝘢 𝘰𝘳𝘨𝘢𝘯𝘪𝘻𝘢𝘵𝘪𝘰𝘯? 𝘈𝘯𝘥 𝘸𝘩𝘺 𝘪𝘴 𝘮𝘦𝘢𝘴𝘶𝘳𝘦𝘮𝘦𝘯𝘵 𝘤𝘳𝘪𝘵𝘪𝘤𝘢𝘭 𝘧𝘰𝘳 𝘥𝘳𝘪𝘷𝘪𝘯𝘨 𝘴𝘶𝘤𝘤𝘦𝘴𝘴 𝘪𝘯 𝘥𝘢𝘵𝘢 𝘱𝘳𝘰𝘥𝘶𝘤𝘵𝘴? 🎧 Listen on your fav platform: datascience.salon/episode-41… If you're passionate about scaling data science teams, fostering innovation, and making data products truly impactful, this episode is a must-listen! #DataScience #MachineLearning #MLOps #AI #DataTeams