Data Science Salon

𝗪𝗲’𝗿𝗲 𝘁𝗵𝗿𝗶𝗹𝗹𝗲𝗱 𝘁𝗼 𝗮𝗻𝗻𝗼𝘂𝗻𝗰𝗲 𝗮𝗻𝗱 𝘄𝗲𝗹𝗰𝗼𝗺𝗲 𝗼𝘂𝗿 𝗻𝗲𝘄𝗲𝘀𝘁 𝗗𝗦𝗦 𝗔𝗺𝗯𝗮𝘀𝘀𝗮𝗱𝗼𝗿𝘀 𝗮𝗻𝗱 𝗖𝗵𝗮𝗽𝘁𝗲𝗿 𝗟𝗲𝗮𝗱𝘀 𝘁𝗼 𝘁𝗵𝗲 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗦𝗮𝗹𝗼𝗻 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆! 👏 Balaji Dhamodharan joined as a Chapter Lead for our Austin #DSSATX Chapter 👏 Mugdha Tasgaonkar joined as an Ambassodor for our Austin Chapter 👏 Karan Gupta, joined as an Ambassodor for our Austin Chapter 👏 Akshata Kishore Moharir joined as an Ambassodor for our Seattle #DSSSEA Chapter 👏 Kylie Li joined as an Ambassodor for our Bay Area #DSSSF Chapter 👏 Brinda Gurusamy joined as an Ambassodor for our Bay Area Chapter 👏 Raghavan Muthuregunathan joined as an Ambassodor for our Bay Area Chapter 👏 Shreyam Duttagupta joined as an Ambassodor for our Bay Area Chapter These incredible individuals are joining us in our mission to eliminate bias in AI, machine learning, and data science, while fostering innovation, collaboration, and inclusivity across the industry. 𝗧𝗼 𝗼𝘂𝗿 𝗔𝗺𝗯𝗮𝘀𝘀𝗮𝗱𝗼𝗿𝘀 𝗮𝗻𝗱 𝗖𝗵𝗮𝗽𝘁𝗲𝗿 𝗟𝗲𝗮𝗱𝘀: thank you for stepping up to represent DSS in your local regions, organizing events, and connecting professionals to valuable resources. Your passion and dedication are what make this community so unique. 𝗧𝗼 𝘁𝗵𝗲 𝗲𝗻𝘁𝗶𝗿𝗲 𝗗𝗦𝗦 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆: we couldn’t do this without you! Your support inspires us to keep growing and creating spaces where diverse voices can thrive. Join our mission! [Link in comments] or DM us directly ❤️ #DiversityInTech #DataScience #AI #MachineLearning

As we step into 2025, we’re energized by the possibilities ahead in the rapidly evolving fields of data science, ML and AI. 𝗢𝘂𝗿 𝗺𝗶𝘀𝘀𝗶𝗼𝗻 𝗿𝗲𝗺𝗮𝗶𝗻𝘀 𝗰𝗹𝗲𝗮𝗿: 𝘁𝗼 𝗲𝗹𝗶𝗺𝗶𝗻𝗮𝘁𝗲 𝗯𝗶𝗮𝘀—𝘄𝗵𝗲𝘁𝗵𝗲𝗿 𝗶𝗻 𝗿𝗲𝗰𝗿𝘂𝗶𝘁𝗺𝗲𝗻𝘁 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗲𝘀 𝗼𝗿 𝘄𝗶𝘁𝗵𝗶𝗻 𝘁𝗵𝗲 𝗮𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 𝘁𝗵𝗮𝘁 𝘀𝗵𝗮𝗽𝗲 𝗼𝘂𝗿 𝘄𝗼𝗿𝗹𝗱. The coming year promises exciting advancements, and we’ve identified key areas where AI will drive transformation: 1. 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜: Revolutionizing workflows and unlocking new levels of creativity. 2. 𝗠𝘂𝗹𝘁𝗶𝗺𝗼𝗱𝗮𝗹𝗶𝘁𝘆: Expanding capabilities to process and combine diverse data types. 3. 𝗘𝘅𝗽𝗹𝗮𝗶𝗻𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗮𝗻𝗱 𝗧𝗿𝗮𝗻𝘀𝗽𝗮𝗿𝗲𝗻𝗰𝘆: Ensuring AI systems are fair, inclusive, and accountable. 4. 𝗠𝗲𝗮𝘀𝘂𝗿𝗮𝗯𝗹𝗲 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗢𝘂𝘁𝗰𝗼𝗺𝗲𝘀:Enhancing efficiency and delivering tangible value. 5. 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀: Tackling complex tasks and streamlining processes across industries. At DSS, we are proud to provide a platform for data science practitioners to connect, collaborate, and shape the future of AI. Thank you for being a part of our community—we’re excited to see what we’ll achieve together this year! #AI #DataScience #MachineLearning #GenerativeAI #GenAI #LLMs #AIagents

Welcome to 2025!  Want to improve your chances of AI success this year?  These five steps should set you on the right path. (Yes, this is the exact same list I posted on Cyber Monday. And I'll keep posting it as long as it holds true.  Which will probably be a while …) 1/ Get the leadership team up to speed on AI. Execs who understand what AI can(not) do are in a much better position to decide how the company will use it. 2/ Make a plan. Not only will this add structure to your efforts, it will also tell you when things are going awry. 3/ Get your house in order. All that fancy AI relies on clean, correct data supplied by a solid infrastructure. 4/ Involve your legal and PR teams early. Lawsuits due to allegedly purloined training data can be costly. The same goes for a wave of bad press due to malfunctioning AI bots. 5/ Work with a professional. Someone who has end-to-end experience with AI can dramatically reduce your risk and improve your chances of success. (Photo by BoliviaInteligente on Unsplash)

2024 was the year #generativeAI moves from pilots to production.  According to Menlo Ventures analysis of 600 enterprise IT leaders to uncover how #AI spending surged 6x, the top use cases driving ROI, and the trends shaping enterprise adoption. From code copilots to vertical AI solutions, businesses are embedding generative AI into their core strategies to transform workflows and boost efficiency. The question isn’t if AI will change your business—it’s how fast. Check out my full breakdown of 𝗧𝗵𝗲 𝗦𝘁𝗮𝘁𝗲 𝗼𝗳 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗶𝗻 𝘁𝗵𝗲 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗳𝗼𝗿 𝟮𝟬𝟮𝟰. #genai #enterpriseai #aiagents

#LLMs like GPT-4, Claude, Gemini, and LLaMA have transformed how we interact with machines, unlocking innovations once thought to be science fiction. Yet, their immense potential comes at a significant computational and environmental cost. In his latest article, Karthik Hubli dives into: 🔹 The key challenges of LLM efficiency (power, memory, and energy). 🔹 Techniques like model pruning, quantization, and knowledge distillation that reduce complexity while maintaining performance. 🔹 Insights on the Lottery Ticket Hypothesis and its role in sparse networks. The road ahead involves balancing accuracy and efficiency—paving the way for models that are powerful, sustainable, and accessible. Read the full breakdown 👉 https://lnkd.in/e65aaXqy What do you think is the biggest challenge or opportunity when it comes to optimizing LLMs? #genAI #machinelearning

Share your experience and expertise with the largest #NLP open source community at the virtual #HealthcareNLPSummit on April 1-2, 2025! Two days of immersive content, focusing on generative AI and natural language processing applications in healthcare and life sciences. Apply to speak and share your insights with 8,000+ industry leaders and practitioners while connecting with one of the most active #GenerativeAI communities! [CFP link in comments]

𝗘𝘅𝗰𝗶𝘁𝗶𝗻𝗴 𝗡𝗲𝘄𝘀 𝗳𝗼𝗿 𝟮𝟬𝟮𝟱! We're thrilled to announce the launch of our new Meetup Calendar on Luma, featuring a series of dynamic gatherings across multiple cities! Join us to connect, learn, and share in the quickly moving world of AI, machine learning and data science. Here's what's coming up: #𝗗𝗦𝗦𝗔𝗧𝗫 𝗠𝗲𝗲𝘁𝘂𝗽𝘀: January 29 April 23 August 20 November 19 #𝗗𝗦𝗦𝗦𝗙 𝗠𝗲𝗲𝘁𝘂𝗽𝘀: February 26 May 21 September 22 #𝗗𝗦𝗦𝗡𝗬𝗖 𝗠𝗲𝗲𝘁𝘂𝗽𝘀: March 12 September 10 December 3   #𝗗𝗦𝗦𝗠𝗜𝗔 𝗠𝗲𝗲𝘁𝘂𝗽𝘀: March 26 June 18 December 10   #𝗗𝗦𝗦𝗦𝗘𝗔 𝗠𝗲𝗲𝘁𝘂𝗽𝘀: March 19 June 25 September 26 #𝗗𝗦𝗦𝗟𝗔 𝗠𝗲𝗲𝘁𝘂𝗽𝘀: September 29 We're planning 17 meetups next year and would love for you to be a part of them. Whether you’re interested in speaking, sponsoring, or simply attending, we welcome your involvement. Make sure to sign up for our Luma calendar [in comments] to keep in the loop with all upcoming meetups. #AI #machinelearning #datascience #genai #LLMs

𝗘𝗮𝗿𝗹𝘆 𝗕𝗶𝗿𝗱 𝗔𝗹𝗲𝗿𝘁 𝗳𝗼𝗿 #DSSATX at Oracle HQ on Feb 19-20! Don’t miss your chance to save 40%! Early bird rates expire this Sunday, 12/15. Secure your spot now and join us for cutting-edge insights at a great price. Grab your early bird ticket today [link in comments] #machinelearning #datascience #ai #enterpriseai

DSS 2024 Wrapped Up! We're thrilled to share the highlights from an incredible year with our community. From insightful panels to groundbreaking discussions, it's been a year to remember. Check out our community highlights below. Want to get involved in making 2025 even brighter? Just DM us—we'd love to hear from you! #machinelearning #ai #datascience

𝗔𝗜 𝗶𝘀 𝗼𝗻𝗹𝘆 𝗮𝘀 𝘁𝗿𝘂𝘀𝘁𝘄𝗼𝗿𝘁𝗵𝘆 𝗮𝘀 𝗶𝘁 𝗶𝘀 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗮𝗯𝗹𝗲. In 2015, an automated hiring tool built by a major e-commerce company was scrapped when it systematically discriminated against women and showed racial bias. The reason? A lack of transparency in how the AI made its decisions. With #AI increasingly driving decisions in healthcare, finance, law, and beyond, understanding how models work has never been more critical. This is where Explainable AI (XAI) comes in. In her latest post, Aditi Godbole dives deep into: The what, why, and how of #XAI Core techniques like SHAP, LIME, and visualization tools Challenges in balancing performance and explainability Why XAI is key to #ethicalAI adoption Explore how transparency in AI can prevent bias, build trust, and ensure fairness across industries. [link to full article in comments].