Solving Single ATL

We're co-organising with Women Devs SG this time!

In this session, we will take a look at how to start your own data science/ analytics project easily with the use of Dataiku. There will be a walkthrough of a use case covering data integration to data cleaning to modelling. If you’re interested to find out more about how to transition into a data science/ analytics career, or what it takes to deliver a data science/ analytics project end-to-end, join us for this meetup!

Food will be provided.

Ready to dive into the world of LLMs and integrate Generative AI into your daily operations? Join us for an exclusive Hands-On Lab in Singapore on July 19th!

What to Expect:
- Hands-On Experience: Gain practical knowledge with Dataiku.
- Expert Guidance: Learn from industry experts on effective AI implementation. - Enterprise-Scale Solutions: Discover strategies for impactful AI applications.
- Networking Opportunities: Connect with like-minded professionals and industry leaders.

📅 Date: Friday, July 19, 2024
⏰ Time: 9:15 AM - 2:00 PM
📍 Venue: WeWork, Singapore

Register Now: https://izeno.com/dataiku-hands-on-lab/

Don’t miss out on this opportunity to build real and safe Generative AI applications at an enterprise scale!

In the age of Generative AI and ChatGPT, it's important to know how to talk the talk with AI! With prompt engineering, it's all about using the right language to get the accurate solutions to your use cases. Join our 2nd episode LIVE on 8 Aug 2023 with host Grant Case and esteemed guest speaker Jepson Taylor, Chief AI Strategist at Dataiku, as we deep dive into the key tactics of prompt engineering and why it's so important!

Join us for the first episode of Proof of Concept podcast Season 3 with host Grant Case and expert speaker Shaun McGirr, Field CDO at Dataiku! Whether you're a seasoned professional or just starting out in data science and tech, this week's episode explores how AI can accelerate your career through automation, leveraging Generative AI and other tools to stay relevant.

Join this lab session to follow along with our host and learn how to use Dataiku while building and testing a predictive model. This exercise uses a sample dataset from a telco to build targeted marketing campaigns around preventing churn or making product changes that combat churn.

• Use Excel-like interface to analyse and understand the distribution of the data
• Quickly prepare and blend the datasets to create features
• Use supervised learning to predict the churn using point-and-click, no-code analytics.
• Quickly generate shareable Excel file enriched with churn prediction

During our APAC Dataiku in Action sessions, you will have a chance to get your hands dirty with Dataiku to create a real data project. Our host will guide you through the exercise including introducing the data set, prepping the data, training the model, testing the model, and deploying it. This training will allow you to experience how to use Dataiku and get real-world data modelling experience, see what some of the possible use-cases are and learn new skills.

Please RSVP here https://www.brighttalk.com/webcast/17108/516135?utm_source=Dataiku&utm_medium=brighttalk&utm_campaign=516135

Several companies have defined a data strategy that serves as a compass on the way to becoming a data-driven organization. However, the best data strategy will fail if there is no data culture in the company.

Based on the BARC Data Culture Framework, Dr. Carsten Bange, Founder and CEO of BARC will discuss which aspects companies can prioritise in order to create a positive data culture.

Please RSVP here - https://www.brighttalk.com/webcast/17108/510387?utm_source=Dataiku&utm_medium=brighttalk&utm_campaign=510387

Do you want to know what your customers are talking about your airline? What services do they like? And what puts them off? We developed a workflow in Dataiku DSS that uses NLP to determine the sentiment behind the tweets and a webapp that allows the end user to view the results. We will walk you through how we used the tweets, did some text cleaning, built models to classify the sentiment, and if time permits - also web scraping to extract airline online reviews.

Please RSVP here - https://www.brighttalk.com/webcast/17108/505500

Responsible AI is a topic of growing interest for data practitioners for both research and the industry, especially in the context of ML Fairness. While implementing standardized fairness techniques into existing pipelines can be a challenge, Dataiku offers strategic resources for data scientists and analysts to seamlessly incorporate ML Fairness techniques into their workflows.

Join Triveni Gandhi, Senior Industry Data Scientist, and Paul-Marie Carfantan, AI Governance Manager, for this webinar to learn about practical applications of ML Fairness and how they support broader Governance, Responsible AI, and MLOps concepts in the organization.