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Software Development

Many organisations want to showcase their data science insights and model predictions via their web sites and mobile apps.

Organisations may also wish to incorporate the output of third-party models like DALL-E, ChatGPT and Copilot.

Data may be displayed in many formats:

  • Tableau or Power BI visualisations
  • Real-time graphs and tables
  • Word clouds
  • Question and answer conversations

Data may be retrieved and displayed via application programming interfaces (APIs). This is a convenient way of accessing data and keeping applications relevant to users.

There are many available options. We can use contemporary user interface development tools like React to showcase the output of your models to your customers.

Steps for organisations to upskill for data science, machine learning & AI

1

Do a skills audit

Determine what AI skills exist within your organisation.

2

Recruit an AI champion

Identify and appoint data science, machine learning and AI champions. These champions can lead the transformation.

3

Be strategic with AI

Organisations don't need invest in every AI technology. Identify the best use-cases for the organisation and pursue a strategy that achieves the goals.

4

Develop an internal talent pool

Ensure the AI champion forms networks of other AI professiomnals and early adopters to share knowledge and facilitate upskilling of all staff.

5

Priortise learning and development

Ensure time and resources are given to rolling out learning and development to the staff who most need it as AI is incorporatred into the different areas of the business.

6

Encourage knowledge sharing

Foster a culture of sharing knowledge on a ongoing basis. Focus on people excited and enthusiastic about AI and they will help take the others with them.

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