Would you like to know how AI applications are used in real life scenarios?
Real Life Machine Learning 2022 is a free mini-conference for those who want to learn about how to apply AI solutions in different industries. Meet our three speakers from different industries. You will also be able to ask your own questions directly to the developers involved in creating these applications at the amazing panel debate. This mini-conference is free for everyone to attend. This is by the community for the community. Date: September 7th Time: 5 pm – 8 pm CET
Agenda
Becky Gandillon
Data strategist, storyteller, and mom
Becky Gandillon is the Practice Lead for Data & Analytics for Centric Consulting in St. Louis, and she specializes in data storytelling, data strategy and visualization. She is a big Disney nerd that spends some of her free time analyzing and predicting crowd patterns at Disney World. She and her husband love travelling with their two daughters, and are looking forward to being able to go on adventures again soon.
Hacking Your Vacation: Using Data for Fun
Data can be powerful, meaningful, AND fun. Making data-driven decisions can level up your family vacation from awful to awesome. In this session, attendees will walk through a specific example showing how to analyze various data sources to avoid crowds, save money, and piece together a Disney World vacation that’s more enjoyable for everyone.
September 7. 2022
Madhumita Mantri
Product Lead, StarTree.ai
Techno-creative Data R&D Product Lead enjoys solving problems for data users (consumers, producers, and decision-makers) to deliver successful user and business outcomes by unlocking data potential. Grace Hopper 2019 Speaker. Passionate about data, applied AI, coaching, public speaking, and social good.
Hacking Your Vacation: Using Data for Fun
This session is for anyone who is interested to learn how to unlock actionable insights from anomalous events and how ThirdEye can empower users to do this at ease, scale, with accuracy and in a self-serve way. This session will include a PPT presentation and a walk-through of a real-life example + demo so that users can relate to the problem and solution easily.
Key take away for users are:
(1) Why it is important to unlock actionable insights from anomalous events
(2) How ThirdEye empowers users to solve for multiple use-cases at ease, scale, and with accuracy
September 7. 2022
Priyanka Shah
Growth Markets Leadership (AI/IoT)
Microsoft MVP (AI), Head of AI/IoT SEA, AI strategic business leadership, Solution Architect for Data Science, Artificial Intelligence/Machine learning developer, Innovation Lead, public speaker/blogger for AI/ML specially with respect to Microsoft technology stack, full stack development experience across variety of programming languages and platforms.
Energy Analytics: AI for Sustainability
Sustainability is often viewed from an operational point of view, with the environmental mission treated as a cost center in the business, as a risk or compliance to be managed. AI for Sustainability is more than just business—it provides an incredible opportunity to give back to the communities and share synergies. Businesses are increasingly Exploring energy innovations for the next generation of sustainable cloud technology. The focus of many businesses is to build a clean-energy future and make progress toward sustainability and business goals. Let us see a real life case study where we leveraged on Azure AI and IoT to help drive energy and cost savings for a Fragrances and Perfumes manufacturing industry in South East Asia. Using AI and Azure digital Twin, we helped the client understand the energy consumption data, co-relate it with the manufacturing processes and machine output, production quality. Using the IoT data for energy and power consumptions and the product and manufacturing processes data, we helped them understand the bottlenecks in their manufacturing processes and used AI based recommendations to suggest the best settings/ conditions for optimum production output. We used predictive ML to help forecast the energy and cost savings and with the help of Azure Digital twin, streamline their manufacturing processes, thus helping to to reduce their carbon footprint and navigate towards a sustainable future.