BridgeAI: Discover Digital Transformation Training
Is your organisation making the most of its data? What about AI? Feeling mystified by machine learning?
About the event
Could you benefit from hands-on guidance and one-to-one mentoring on your digital journey with data science and AI experts?
Our Discover Digital Transformation training programme is designed with decision-makers in mind, and aims to help your business to explore digital, data-driven and artificial intelligence (AI) technologies, help you to decide what’s right for your organisation and build an action plan to become digital-ready.
This training course is fully-funded by the Innovate UK BridgeAI programme, so is free at the point of delivery. The BridgeAI programme aims to empower UK organisations to harness the power of AI through support and funding, bridging the AI divide for a more productive UK.
Who is this event for?
The programme is designed for businesses or organisations of any size in agriculture, creative industries, construction or transportation, who want to enhance their data and AI knowledge and begin the road to adoption. For example, but not limited to:
- Production managers
- Business analysts
- Business development managers
- Heads of operations
What will you gain from attending?
During the courses, our specialists will help you enhance your understanding of why and how to implement AI. We will equip you with a digital grounding, ready to take the next steps to revolutionise operational processes, boost productivity and initiate future growth, covering topics such as:
- How to improve data handling and quality in your organisation to begin the digital transformation process
- Understanding the different types of data analytics and show how they can be applied to industry challenges to provide productivity benefits to your business
- Assessing whether your business is ready to implement AI solutions and how to choose the right methods, tools or products
When and where?
The Discover Digital Transformation training programme will take place as 4 x 30-45min sessions over 4 days.
Each session will take place 10:00 – 11:00 on 18th, 20th, 25th & 27th July 2023.