Getting Started in AI

Event:

Getting Started in AI

Date: Thursday 8th November 2018
Time: 9am – 12pm
Venue: 1 Principal Place, Worship St, London EC2A 2BA

Inawisdom - Real Data Insight
AWS

Inawisdom and AWS invite you to join us

About the event

Join AWS and Inawisdom and learn how Artificial Intelligence (AI) and Machine Learning (ML) tools are playing a modern, innovative role in ground-breaking data analysis.

Throughout the morning workshop, you will hear from AI experts including a customer who has taken advantage of our AI tools to incredible effect and will be sharing their results. You can then join one of our ‘AI in Action’ tracks; the Technical track to see AWS and Inawisdom tools live or the Business track on how to build a business case for AI with real-world results and visualisations.

An expert panel will close the day, providing an open forum to ask about the technology, getting started or any other thoughts and questions from the day.

Who should attend

If you have a responsibility in your business for data, cloud technologies, innovation, product or operations and want to know more about how to get started with AI. Learn how to demystify data science and machine learning by seeing, hands on, the advances in AWS tools.

Agenda

9:00 – 9:30

Registration & Coffee
Enjoy a fresh cup of coffee and refreshments

9:30 – 9:45

Welcome
Introduction to the event

9:45 – 10:15

Voice of the Customer
Hear from Bjoern Reinke, Retail Smart Director, about how DRAX Power are using AI to change their business in the Retail Sector with AWS & Inawisdom

10:15 – 11:15

AI in Action

The business case for AI: Join our Business Track: See the opportunity for AI, hear how businesses are changing and how to define the questions to ask of your data

Technology enabling the future: Join our Technical Track: See AWS AI services in action and what can be achieved; Machine Learning live

11:15 – 11:30

Break
Grab a coffee

11:30 – 11:50

Panel – Getting Started in AI
Q&A and top tips for adopting AI into your business

11:50 – 12:00

Close
Closing remarks and summary