How WWT helps

WWT is currently developing several internal GenAI solutions to enhance productivity, innovation and revenue generation across our workforce. For example, we're beta-testing a custom WWT GPT chatbot, an intelligent RFP Assistant, and various Coding Assistants to make workflows more efficient across multiple teams.

Recognizing that other businesses may have similar needs but unique requirements, WWT offers a comprehensive range of GenAI services to replicate and customize this type of AI solution for our clients.

Digital twin and metaverse solutions

A digital twin is a virtual model or representation that serves as the real-time digital counterpart of a physical object, process or system. It simulates, monitors and optimizes the behavior and performance of its real-world twin.

The metaverse is a collective virtual shared space created by various digital technologies.

When integrated, digital twins can inhabit the metaverse, enabling the dynamic interaction and optimization of physical entities within the metaverse's immersive virtual environment. This integration can create new opportunities for industries and applications to conduct real-time monitoring, experimentation and collaboration.

How WWT helps

ML has potential applications across verticals, including image and speech recognition, natural language processing, recommendation systems, and predictive analytics.

Your ML journey begins with the identification of key AI/ML stakeholders — your executives, department heads and data scientists. We then address organizational challenges, such as process optimization, customer experience enhancement, and market trend prediction, while pinpointing areas for maximum impact. Then we collaborate with your stakeholders to implement an iteratively refined ML solution.

Computer vision solutions

Computer vision is a field of AI and computer science that focuses on enabling computers to understand and interpret visual information from digital images or videos. It involves developing algorithms and techniques that allow machines to analyze, process and extract meaningful insights from visual data. 

Computer vision encompasses a wide range of tasks, including image recognition, object detection, image segmentation, facial recognition, and scene understanding. The ultimate goal of computer vision is to enable machines to perceive and understand the visual world in a manner similar to humans.

How WWT helps

Our pragmatic approach to IoT increases business and organizational agility and reduces costs by leveraging technologies such as analytics, automation and visualization.

Our comprehensive and customizable IoT services begin with a focus on achieving your desired level of visibility integrating existing data sources and adding other elements as needed. Then focus turns to enabling informed decision-making and implementing effective risk mitigation strategies. The next focus is on observability, which can help you proactively identify and manage potential risks before they escalate; our alerting systems ensure timely notifications of deviations or critical matters requiring human intervention.

NLP solutions

Natural language processing (NLP) is a subfield of AI and computational linguistics that focuses on the interaction between computers and human language. It involves the development of algorithms and techniques that enable computers to understand, interpret and generate language in a way that's meaningful and useful.

NLP encompasses a wide range of tasks, including language understanding, sentiment analysis, language translation, text summarization, speech recognition, and language generation. The goal of NLP is to bridge the gap between human language and computer understanding, enabling machines to process and interact with natural language in a manner similar to humans.

How WWT helps

By harmonizing your people, processes and cutting-edge tools, AIOps can facilitate a thorough analysis of any business disruption, helping you maintain operational excellence and drive sustainable growth.

WWT has many AIOps experts. Our proven Automation Maturity framework, which encompasses enterprise-wide monitoring silos, is grounded in a co-development approach designed to achieve targeted outcomes. We're experienced at leveraging existing enterprise tools, with vendor-neutral data ingestion into a common platform, to provide event correlation and autonomous automation. The benefits of our approach include noise reduction, detecting outages, disruptions and problems, surfacing root causes, and reducing tickets.

MLOps and scalable AI solutions

Short for machine learning operations, MLOps refers to the practices and techniques used to streamline and automate the deployment, monitoring and management of ML models in production environments. It combines principles from software engineering, data engineering and ML to ensure the efficient and reliable operation of ML systems. MLOps aims to address challenges such as model versioning, reproducibility, scalability, and continuous integration and deployment (CI/CD) of ML models.

MLOps aligns ML initiatives with DevOps standards, facilitating seamless scalability and streamlined production processes. By adopting MLOps, organizations overcome inherent challenges in establishing comprehensive ML practices.