Machine Learning and AI in Practical Business Automation
Time is money - don't waste it
Get AutomatedAbout Me
I'm a true believer in efficient design. My journey through life and industry have shown me there's nothing more precious than energy, and to conserve it, is an art as well as a duty. Automation is at the heart of conservation in the digital age and enables us as people to focus our energy on progress. I've been a web and software developer for 15+ years and while my roles and job titles have changed - I've always driven my efforts to affect positive change in organisations, streamline processes, repurpose resources, and encourage an adaptive approach to progress.
Data-driven solutions are my forte, and are an exciting insight into any industry. Identifying untapped commercial potential in organisations and architecting practical automation strategies to support economic growth are my passion. I love creating self-sustaining ecosystems, through technology to help people.
Spare no expense - and give yourself the best shot at success!
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Talks
AI in the real world
A Developer's Introduction to Machine Learning (ML) and Identifying Commercial Value in Data
Event Schedule
1200 - 1830
Machine Learning Hackathon
Collaborative groups working on specific areas of a real-world product pipeline - get hands on and stuck in with Machine Learning and Data Science with opensource technologies.
By The Skiff
1800 - 2130
ML Neural Networks with Python
We'll explore the multitude of neural network patterns and build an Optical Character Recognition (OCR) program using Python.
Where: The Skiff, Brighton
1230 - 1315
MEGABYTES (Lunch & Learn) - Introduction to Machine Learning
An overview of Machine Learning and its components - architecture, processes, algorithms, setups, and use-cases to help you get started with your own data and start seeing results today.
Where: Remote
Hosts: Hays Technology Recruitment
1800 - 2130
Rapid Product Prototyping - How to build and manage MVPs
MVP-focused, we'll step through the process of looking at a specification, identifying essential components, consider various tech stacks and put fingers on keyboards. We'll also cover contingency strategies and how to balance expectations with delivery.
Where: International House, Brighton
Hosts: PHP Sussex
1730 - 2100
AI 2.0 - Business Automation
Identifying commercial value in data is a real modern-day challenge. Corporations tend to suffer the most as typically data is spread over multiple platforms and legacy systems. For SMEs, this can be less challenging as you'll probably have a cleaner tech stack. However, with the right preparation, corporations are set to reap the most benefits from a carefully designed data-driven, Machine Learning campaign.
Where: Platf9rm, Hove Town Hall
Hosts: Silicon Brighton