Gathering data from various sources. Identifying the right data sources, arranging access, and extracting the data.
An initial transformation of the data, making it suitable for training your machine learning models. This work can include resizing images, normalizing values, and tokenizing text.
Cleaning the data used for training AI models by removing inaccuracies, duplicates and irrelevant parts, also considering the handling of personal data. Automated tools and manual reviews can both be applied.
Applying labels for the training phase of the AI models. These labels (tags) may need a pre-agreed taxonomy or classification scheme for uniform handling of the data.
Converting audio, video and image files into written text, either describing them or transcribing their voice content. Various tools, such as Trint, can be used to speed up this job.
Based on the guidance of domain experts, these activities involve selecting, modifying, and creating new features based on the initial dataset in order to enhance ML performance.
Adapting content and datasets to fit local languages and cultures, enabling deployments in other geographic locations.
QA ensures that AI output meets quality standards and expectations.
Ongoing quality assurance to detect obvious glitches, failures, unexpected output, as well as changes in performance metrics.
Identifying and correcting inaccuracies, misstatements, inconsistencies, factual errors, logical fallacies, and the misinterpretation of original input.
Identifying and eliminating any unintentional biases in the text to better deliver the expected tone.
Any post-processing of content with AI origins, including texts written by chatbots.
Reworking textual content to avoid damages to your credibility and image, as well as any automated penalties sustained related to search engine positioning and achieving a more natural flow of text. Adding examples, anecdotes, or visual elements.
Improving AI-generated content, expanding sections that are too succinct, abstract, or just awkward. Providing more details and context, resulting in better accessability and reading quality.
Tailoring the text to fit the specific audience or purpose. Adjusting tone, style, and complexity to better meet the expectations of the target audience.
Broadstone.io helps businesses adapt effortlessly by providing scalable remote outsourcing solutions with a light footprint, billed by the hour.
We always assign, for each of your tasks, the appropriate talent in the right capacity and just for the period a given service is required. This eliminates the risk and burden of overheads, as well as any mismatched or less than ideal capacities.
Check out our blog to see how we have handled some of our projects and, in general, for more detail on how we work.
Contact us to explore how you can improve your business flexibility and lower your risk through our outsourcing services.
