Applied Machine Learning

Tuesday, October 26, 2021

- PDT
PRO WORKSHOP (AI): 1 Hour of ML.NET: Not the Same Live Coding Session
Marco Zamana
Marco Zamana
4wardPRO, Head of Software Development

An hour where we will develop together a machine learning model with ML.NET. We will discover its potential thanks to live coding.

Wednesday, October 27, 2021

- PDT
FEATURED TALK: (AI): Responsible AI into Practice - Deliver Trust in Artificial Intelligence Solution
Sweta Sinha
Sweta Sinha
Ascend Learning, Director of Data Science

AI has been a key driver in innovation in every industry Organizations have ramped up their effort on leveraging AI to gain a competitive advantage. However, AI solution comes with its own challenges and risk, particularly in regulated industries. There have been numerous instances when AI introduced bias. Organizations must use a balanced approach to accelerating the adoption of AI and prioritize AI governance to ensure trust in the AI system. While AI regulation landscape is still evolving, now is the time for organizations to start taking steps to understand and mitigate AI risks. Responsible AI framework provides guidelines around AI governance for building fair, transparent, ethical, and accountable AI solutions. In this session you will learn about how organizations can follow Responsible AI guidelines and operationalize trust in AI solutions by incorporating AI governance throughout the AI/ML life cycle.

- PDT
FEATURED TALK (AI): Scaling Machine Learning Models
Chen Levkovich
Chen Levkovich
Habana Labs, Product Manager ML Developer experience

Starting with ML tutorials seems easy. But how do you scale your ML models from detecting cats and dogs to a full scale business ML model?

- PDT
PRO TALK (AI): Developing Spidey Senses : Anomaly Detection for Javascript Apps
Ron Dagdag
Ron Dagdag
Spacee, Lead Software Engineer

Anomaly detection is the process of identifying unexpected items or events in data sets. It’s about detecting the deviation from expected pattern of a dataset. It’s like having “spidey senses” for your apps that can detect when there’s danger or something is not right. Attend this session and learn about using anomaly detection in javascript and Cognitive Services API, become a superhero and save the day.

- PDT
OPEN TALK (AI): The Hidden Side of AI
Apoorva Dornadula
Apoorva Dornadula
Smartly.io, Head of Engineering, Viralspace

From search engine results to social media feeds, the applications powered by AI are ubiquitous in our day to day lives. However, there are many dangers of using AI, from amplifying historical biases to making decisions that we cannot interpret. With the rise of AI-based solutions, the need for us to understand the motivation behind these black-box models is imperative. In this session, we explore real scenarios that show the perils of using AI in the wild and understand why simply optimizing for accuracy or performance is not enough. Learn how these risks can be addressed through the use of various techniques throughout the model development and deployment process.