Name: TWIMLcon: AI Platforms 2022
Start: 04/10/2022 07:00 AM +00:00
End: 14/10/2022 07:00 AM +00:00

Track everything you need to make your models reproducible with Weights &amp; Biases&mdash; from hyperparameters and code to model weights and dataset versions.
Weights &amp; Biases helps your ML team unlock their productivity by optimizing, visualizing, collaborating on, and standardizing their model and data pipelines &ndash; regardless of framework, environment, or workflow.
Used by ML engineers at OpenAI, Lyft, Pfizer, Qualcomm, NVIDIA, Toyota, GitHub, and MILA, W&amp;B is part of the new standard of best practices for machine learning. W&amp;B is free for personal use and academic projects, and it's easy to get started.
Run your first experiment in 30 seconds with this quick hosted notebook: bit.ly/intro-wb

Weights & Biases

Iterative&rsquo;s developer-first MLOps tools deliver model reproducibility, governance, and automation across the ML lifecycle, all integrated tightly with software development workflows. We're the company behind <a href="studio.iterative.ai" target="_blank" rel="noopener">Iterative Studio</a> and popular open-source tools <a href="dvc.org" target="_blank" rel="noopener">DVC</a>, <a href="cml.dev" target="_blank" rel="noopener">CML</a>, <a href="mlem.ai" target="_blank" rel="noopener">MLEM</a>, and <a href="https://marketplace.visualstudio.com/items?itemName=Iterative.dvc" target="_blank" rel="noopener">DVC Extension for VS Code</a>. We help data science teams to build models faster and collaborate better with data-centric machine learning tools. Iterative is a remote-first company, backed by True Ventures, Afore Capital, and 468 Capital. For more information, visit <a href="iterative.ai" target="_blank" rel="noopener">Iterative.ai</a>.

Iterative AI

Watchful is a modern and interactive solution for NLP that places the control of data labeling back into the hands of data scientists and machine learning practitioners. Through our scalable data-centric approach, anyone, from subject matter experts to MLOps engineers, can holistically explore, classify, annotate and validate any unique dataset to power today&rsquo;s AI initiatives and business processes. Watchful&rsquo;s enterprise-ready solution removes the data bottlenecks associated with AI from the start, allowing for the iterative processes of AI, from production to deployment, to be far more cost-effective and scalable. Use Watchful across multiple industries such as manufacturing, retail, finance, life sciences, and more.&nbsp;

Watchful

From Fortune 500 enterprises to leading fast-growth companies, Labelbox enables ML teams to build better AI products fast with data curation, AI-assisted labeling, model training, model diagnostics, and labeling services &mdash; all in one platform.&nbsp;

Labelbox

At Capital One, we&rsquo;re creating real-time, intelligent, automated customer experiences using artificial intelligence in financial services. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. &nbsp;

Capital One

Today, more intelligence is moving to end devices, and mobile is becoming the pervasive AI platform. Building on the smartphone foundation and the scale of mobile, Qualcomm envisions making AI ubiquitous&mdash;expanding beyond mobile and powering other end devices, machines, vehicles, and things. We are inventing, developing, and commercializing power-efficient on-device AI, edge cloud AI, and 5G to make this a reality.

Qualcomm

Connect with fellow TWIMLcon attendees to discuss the topics of your choosing!

TWIMLcon: AI Platforms 2022

Agenda

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Shayan Mohanty

Kyle Gallatin

Bhumi Patel

Ethan Rosenthal

Maisha Lopa

Jonathan Jin

Todd Underwood

Garrett Hoffman

Chip Huyen

Yoav Schlesinger

Kevin Haas

Chris Albon

Isaac Vidas

Dmitry Petrov

Mohamed Elgendy

Rosa Catala

Miriam Friedel

Niall Murphy

Jacopo Tagliabue

Benedikt Schifferer

Adrian Cartier

Sam Charrington

Mikhail Sveshnikov

Lukas Biewald

Zachary Carrico

Ronay Ak

Demetrios Brinkmann

Dan Jeffries

Zheng Li

Jenelle Bray

Tanton Gibbs

Noah Gift

Srivathsan Canchi

Karen Yang

Maxime Voisin

Thomas Capelle

Bindu Reddy

Dmytro Dzhulgakov

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