Final answer:
To evaluate machine learning platforms for an organisation, create a presentation that sets the context by describing the current industrial challenges, then compares several machine learning solutions in terms of development ease, cost, performance, and data privacy. Conclude with a strong recommendation for the best fitting platform based on the analysis.
Step-by-step explanation:
When tasked with evaluating existing platforms for developing, testing, and deploying machine learning applications, the presentation should outline several key areas. These include the ease of use, performance, cost of ownership, and data privacy of each platform. Comparing several options, both cloud-based and on-premises, will provide a clear picture of what each solution offers.
To begin, the presentation should set the context by describing the current situation in the organisation and the industrial problems that the application of machine learning aims to solve. After laying the groundwork, the presentation should compare several platforms, highlighting ease of development process, total cost of ownership, performance efficiency, and adherence to data privacy standards.
Finally, the presentation should culminate with a compelling recommendation for a machine learning solution that aligns with the organisation's needs and objectives. This recommendation should be backed up by data and analysis gathered during the comparison of the various platforms.
Throughout the presentation, engaging visuals and clear topic sentences should be used to direct the flow of information, ensuring the audience is fully engaged and can easily follow the argument being made towards the optimal machine learning solution for the organisation.