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inappropriate we hit the sweet spot by blending llms with the time honored tradition of enterprise machine learning conference founder eric siegel will interview mettler digging in for what promises to be an extremely enlightening fireside keynote chat tuesday may 5 2026 keynote on generative architecture an imperative for ai validation in the architecture engineering and construction industry speaker s julia ling x the moonshot factory speaker s julia ling languages keynote on generative architecture an imperative for ai validation in the architecture engineering and construction industry date tuesday may 5 2026 time 1 15 pm summary the adoption of ai in technical fields is fueling a need for more rigorous more modular and more domain specific validation frameworks at anori alphabet x s moonshot for housing and development we are applying multimodal generative ai to make building and development dramatically faster less costly and more efficient the architecture engineering and construction industry suffers from entrenched inefficiency due to the highly constrained highly regulated and regionally specific nature of building development that currently relies on numerous domain experts to sequentially flesh out a design anori is creating a unified ai platform to change the paradigm and make it possible to design for many of these constraints simultaneously importantly building design requires more than just beautiful images and eloquent descriptions it requires engineering precision regulatory compliance and functional performance in this setting it is critical to have rigorous frameworks for evaluating model outputs at each step of the process including both automated validation and human feedback in this talk we ll discuss frameworks to bring transparency diagnosability and specificity to the model validation process wednesday may 6 2026 keynote context engineering how machines remember and forget speaker s emre okcular openai speaker s emre okcular languages keynote context engineering how machines remember and forget date wednesday may 6 2026 time 8 45 am summary the magic moment for ai agents is hidden in the memory layer context engineering is the art of shaping what an ai model knows at any moment by managing how information enters persists or fades from its working memory in this session we explore how machine learning systems remember through state objects notes and retrieval and how they manage context using compression selection and context limits we ll walk through real world agent patterns that balance personalization with privacy performance and relevance participants will learn practical techniques to design memory that feels intentional evolving and human aware wednesday may 6 2026 keynote ai transformation hinges on very particular organizational requirements speaker s jon francis state farm speaker s jon francis languages keynote ai transformation hinges on very particular organizational requirements date wednesday may 6 2026 time 1 15 pm summary with an extensive record serving executive roles at the likes of starbucks gm and state farm jon francis has learned what makes the difference between scalable ai systems and those that never get beyond pilots or even just ideation here s a hint he says at most companies it has almost nothing to do with the math or technology but instead hinges on culture transformation and change management join this fireside chat keynote where machine learning week founder eric siegel will interview francis and dive in why hybrid ai 2026 for 2026 machine learning week returns to san francisco as hybrid ai 2026 this is mlw s 18th year and perhaps its most important ai is on the cusp of greatness the bad news is that positive returns are still few and far between begging the question when will ai finally achieve its greatness the good news is that the final mile to more universally realized value is in sight the problem how can practitioners get genai pilots to production and get predictive ai from development to deployment considering that the success rates are still extremely low the solution 1 hybrid ai genai and predictive ai are destined to marry because each is suited to address the other s greatest limitations genai is often unreliable while predictive ai is hard to use 2 a reliability layer to tame llms this layer must feature i continually expanding guardrails ii strategically embedded humans in the loop indefinitely iii form fitted customization for each project why hybrid ai the reliability layer demands a strategic hybridization of methods such as predictive ai and genai as well as the strategic embedding of humans in the loop human machine collaboration is also sometimes called hybrid ai the most ideal way to soften the ai bubble s looming detonation would be to boost ai s realized value to this end developing a reliability layer is a critical emerging discipline it s vital for establishing system robustness that would make ai pilots ready for production and it s a fruitful way to test the very limits of llms exploring and expanding the feasibility of industry s ever increasing ai ambitions come to hybrid ai 2026 to turn ai s potential into realized value by discovering best practices that make ai products robust and deployment worthy for more insight hybrid ai industry event signals emerging hot trend predictive ai thrives despite genai stealing the spotlight impressions of previous mlw conferences what our attendees think rohit supekar lead machine learning scientist the new york times had a great time delivering this keynote at machine learning week 2025 in phoenix loved attending other keynotes by eric siegel ravi jain and john elder fantastic discussions with ml practitioners in a variety of areas across the industry erika mcbride data analytics ai senior manager and ai evangelist paychex a unique conference for ai enthusiasts with technical discussions as well as strategic information shared by leaders across diverse industries katie bakewell vp ai strategy nlp logix this is my third year getting to nerd out with ai friends at machine learning week and as always it was outstanding garret anderson ai practice leader digineer this wasn t just a conference it was a vibrant exchange of ideas with some of the top minds in data science machine learning and ai the energy was collaborative the content was actionable and the conversations were truly forward looking amrith coumaran computer vision scientist privateer space such a well run event always a pleasure to share ideas and connect with the ml community fabio ferraretto partner dhauz north america machine learning week is a distinctive conference around the use of data and ai that balances really well the technical side of this with business it was a pleasure to be here for the 4th year in a row sharing stories that we at dhauz dhauz north america are developing with our clients in brazil james mccaffrey senior scientist engineer microsoft the bottom line the event was really good i give it an overall grade of an a which is tied for the best grade i ve ever given to any conference bin mu vp data science metlife predictive analytics world is one of the best analytics conferences i have attended it provides rich analytics content and topics and is very well run ymke de jong program lead data ai philips great event with great people learned a lot i am looking forward to bring our learnings into practice yonetaro kawada data analytics expert abeam consulting japan very practical neutral across vendors and good for practitioners william wilkins chief risk and predictive analytics officer safety national casualty corporation i have been to a lot of conferences with analytic themes this one had the best mix of technical and managerial content will lindsey blue cross and blue shield paw has been worth the investment i ve learned many new real world opportunities that i can bring back to my company the speakers have provided me with new ideas that will help take our analytics group to the next level sol baek data scientist ii healthnow ny paw is a must go analytics conference for data scientists at any level for learning new technologies trends practices and valuable networking simon padron senior engineer r d parker hannifin had an amazing week of great insights into the world of machine learning and deep learning at the predictive analytics world conference i leave with lots of notes and expanded knowledge into the latest state of the art methods rainish lalai senior analytics specialist etihad airways an excellent conference with high quality speakers the right companies partnered and overall a very knowledgable experience john crissman research analyst cna corporation machine learning week is the place to be if you want to learn current best practices and engage with industry leaders courtney williams business analytics consultant pnc bank i never considered introducing decision first thinking to analytics projects until this conference anasse bari ph d associate professor new york university predictive analytics world was excellent the organization was phenomenal and the speakers were so interesting dr eric siegel the founder of paw is a visionary and a leader in the machine learning and predictive analytics fields this is by far one of the best conferences it not only brings leaders on the field together but also offers practical hands on with real applications in healthcare business manufacturing government and financial services witness how practitioners at these leading enterprises and more apply machine learning partners 2026 workshops monday may 4 2026 designing and building decision agents for hybrid ai james taylor thursday may 7 2026 automating building of predictive models predictive ai generative ai dean abbott machine learning week the facts 0 years 0 speakers 0 sessions 0 companies conference chair dr eric siegel conference founder the venue the clift royal sonesta 495 geary street san francisco ca 94102 more info directions register now secure your ticket register now contact us newsletter sign up now to receive news insights interviews and much more about machine learning week your advantages you ll receive a 10 discount code you ll always be among the first to know when the program is online you re saving money because we remind you of the price breaks you get to know our speakers even before the conference because we present a selection of the sessions including speakers first name email address yes i would like to subscribe to the machine learning week newsletter you can unsubscribe from this newsletter at any time via email protected or using the link at the end of any newsletter the newsletter is sent by rising media inc for more information please see our privacy policy marked fields are required subscribe now need more information faqs the history of machine learning week machine learning week evolved from the predictive analytics world paw conferences which began in 2009 running in multiple cities in the us and europe each year from 2018 in response to vendor and attendee requests to have one place they could meet everybody various vertical conferences paw business paw industry 4 0 paw financial paw healthcare were brought together in one mega event this was met with an overwhelmingly positive reception from all participants deep learning world was also launched as part of the family in 2018 and paw climate which runs virtually in 2021 all are now together as machine learning week in 2026 ml week is running hybrid ai in san francisco back where it all started what is predictive ai predictive ai aka predictive analytics is the application of enterprise machine learning to improve operations such as optimizing marketing campaigns and website behavior to increase customer responses conversions and clicks and to decrease churn each customer s predictive score informs actions to be taken with that customer analytics just doesn t get more actionable than that is predictive ai different from forecasting machine learning week events often include select sessions on forecasting since it is a closely related area and in some cases predictive ai is used as a component to build a forecast model however predictive ai is something else entirely going beyond standard forecasting by producing a predictive score for each customer or other organizational element in contrast forecasting provides overall aggregate estimates such as the total number of purchases next quarter for example forecasting might estimate the total number of ice cream cones to be purchased in a certain region while predictive ai tells you which individual customers are likely to buy an ice cream cone is this a data science conference yes predictive analytics is a form of data science moreover it is the most actionable form a predictive model generates a predictive score for each individual which in turn directly informs decisions for that individual e g whether to contact extend a retention offer approve for credit investigate for fraud or apply a certain medical treatment rather than solely providing insights predictive analytics directly drives or informs millions of operational decisions is this a big data conference yes predictive ai is a key method to truly leverage big data at the center of the big data revolution is prediction the whole point of data is to learn from it to predict what is the value the function the purpose predictions drive and render more effective the millions of organizational operational decisions taken every day is this an ai conference yes artificial intelligence ai is a broadterm with many possible definitions but by any definition it always includes machine learning predictive modeling as an example of ai technology capabilities is machine learning week run by a software vendor no machine learning week provides a balanced view of predictive ai methods and tools across software vendors and solution providers is machine learning week a research conference no machine learning week is focused on today s commercial deployment of predictive ai rather than academic or r d activities separately there are a number of research oriented conferences in predictive ai s commercial application we are essentially standing on the shoulders of those giants known as researchers are you considering new speakers for machine learning week for speaker information and proposal submissions click here links registration cancellation policy privacy policy machine learning times previous events 2026 2025 2024 2023 your hosts follow us 2026 rising media inc newsletter knowledge is everything sign up for our newsletter to receive 10 off your first ticket insights interviews tips news and much more about machine learning week price break reminders first name email address yes i would like to subscribe to the machine learning week newsletter you can unsubscribe from this newsletter at any time via email protected or using the lin...