Merge pull request #7 from shreyashankar/2024program

Add keynote address

index.html

@@ -74,8 +74,9 @@ <h1 style="margin-top: .15em;">
     <!-- Keynote -->
     <div class="col-md-3"><b>9:00am - 10:00am</b></div>
     <div class="col-md-9"><b>Opening Remarks and Keynote Address</b><br/>
-    <i>Speaker: <a href="https://engineering.nyu.edu/faculty/juliana-freire" target="_blank">Juliana Freire</a> (New York University)</i></div><br/>
-
+    <b>Empowering Users with AI: The Role of AutoML and Data Discovery in Data-Driven Exploration</b><br/>
+    <i>Keynote Speaker: <a href="https://engineering.nyu.edu/faculty/juliana-freire" target="_blank">Juliana Freire</a> (New York University)</i><br/>
+    <p>Artificial Intelligence (AI) is reshaping data-driven exploration. In this talk, we will explore how AutoML and data discovery enhance human capabilities. We present AlphaAutoML, an open-source Python library designed to support a wide range of machine learning tasks across various data types. AlphaAutoML combines deep reinforcement learning and meta-learning to effectively construct pipelines over a large collection of primitives. It seamlessly integrates AutoML within the data science lifecycle through an ecosystem of tools that facilitate user-in-the-loop tasks, such as selecting suitable pipelines and customizing these pipelines for complex problems. Additionally, we will discuss the emerging field of dataset search, a critical component of data-centric AI. We will review the opportunities it creates to enrich analytics and improve machine learning models, and present methods that support discovery in large dataset collections.</p></div><br/>
     <!-- Break -->
     <div class="col-md-3"><b>10:00am - 10:30am</b></div>
     <div class="col-md-9"><b>Break</b></div><br/>