Machine learning uses two types of techniques: supervised learning, which trains a model on known input and output data so that it can predict future outputs, and unsupervised learning, which finds hidden patterns or intrinsic structures in input data.

AI/ML-powered data ingestion engine

I designed the user interface for an AI/ML-powered data ingestion engine that transforms trade documents into meaningful data for validation and pre-population of customs filing documents. The UI is tailored for back-office operations, allowing ingestion of trade documents from various sources and formats, including PDFs and images. It employs intelligent gathering and processing of shipment documents to generate additional smart workflows. Moreover, the UI enables operations team members to perform sentiment analysis on emails and receive actionable recommendations, facilitating the prioritization of shipments.

We need to feed the prepared data into your machine-learning model to identify patterns and make predictions. This allows the model to learn from the data and improve its ability to perform the assigned task over time through training.

AI preprocessing dashboard and efficiency mapper

This application extends the previous AI-based processing engine. Each shipment card on the left displays the sequential processing steps from start to finish, encompassing various AI/ML processing stages. If any step fails to pass correctly, a data operator can interact with that specific step and manually correct it.

why is data preprocessing necessary?

Algorithms that learn from data are simply statistical equations operating on values from the database. So, as the popular saying goes, “if garbage goes in, garbage comes out”. Your data project can only be successful if the data going into the machines is high quality. 

In data extracted from real-world scenarios, there’s always noise and missing values. This happens due to manual errors, unexpected events, technical issues, or a variety of other obstacles. Incomplete and noisy data can’t be consumed by algorithms, because they’re usually not designed to handle missing values, and the noise causes disruption in the true pattern of the sample. Data preprocessing aims to solve these problems by thorough treatment of the data at hand.

the role of AI in user experience design

AI can transform traditional user experience design by leveraging data, automation, and machine learning algorithms. Here are some ways in which AI can impact UX design:

Personalization :  ​AI enables designers to create personalized user experiences by analyzing vast amounts of data, such as user behavior, preferences, and past interactions. By understanding individual users’ needs and tailoring content, recommendations, and interfaces accordingly, organizations can deliver hyper-relevant experiences that drive engagement and conversions.  

Intelligent Automation :  AI can automate repetitive and mundane tasks, freeing up designers’ time to focus on more strategic and creative aspects of UX design. For example, AI-powered chatbots can handle customer inquiries, provide instant support, and guide users through complex processes, improving efficiency and enhancing the overall user experience.  

Predictive Analytics :  By analyzing user data and leveraging machine learning algorithms, AI can provide designers with valuable insights and predictions about user behavior and preferences. This information can inform design decisions, optimize user flows, and drive continuous improvement in UX design.

Voice User Interface :  The rise of voice assistants, such as Siri, Alexa, and Google Assistant, has opened up new possibilities for UX design. AI-powered voice user interfaces (VUI) enable users to interact with applications and devices using natural language, offering a more intuitive and hands-free experience. Designers must consider VUI design principles to ensure seamless and user-friendly experiences.

other AI basaed application

TIBCO Assistant: A text and voice based AI assistant application

Nue-Hope healthcare app: AI powered Chat-Bot