Question

Task:

Your organisation is planning to use machine learning to solve industrial problems. You are tasked with evaluating the existing platforms that can be used by your organisation in order to develop, test, and deploy machine learning applications. Prepare a presentation of 5-10 slides where you compare the existing options. In particular, concentrate on the ease of use, performance, cost of ownership, and data privacy. Context should be provided in the presentation (what is the current situation in the organisation and why machine learning will be used). The context could be an imaginary one

Context

Realistic and reasonable applications in an industrial setting.

Comparison

It is expected to compare several options (cloud-based or software installed on
own’s servers). The main criteria to compare are ease of development process, cost of ownership, performance, and data privacy

Recommendations

It is expected to provide a convincing recommendation of a solution that is suitable to
the organisation’s context

Answer 1

When evaluating machine learning platforms for your organization, consider ease of use, performance, cost of ownership, and data privacy. Cloud-based platforms often offer these benefits but it's important to compare different options.

Step-by-step explanation:

Presentation on Evaluating Machine Learning Platforms

When evaluating machine learning platforms for your organization, it is important to consider several factors including ease of use, performance, cost of ownership, and data privacy.

For ease of use, look for platforms with user-friendly interfaces, intuitive tools, and comprehensive documentation. Performance can be measured by considering factors such as processing speed, scalability, and reliability. Cost of ownership includes both initial setup costs and ongoing maintenance expenses, so it's important to evaluate pricing models and consider your organization's budget. Lastly, data privacy is a crucial concern, so ensure that the platform complies with relevant privacy regulations and offers sufficient security measures.

Based on these criteria, it is recommended that your organization consider cloud-based machine learning platforms as they often offer ease of use, scalability, and cost-effective pricing models. However, it is important to thoroughly evaluate and compare different platforms to find the one that best suits your specific needs.