Artificial Intelligence solutions
AI solutions, which leverage AI techniques and technologies to solve specific business problems, are poised to have a profound impact on business outcomes. Organizations are already adopting AI solutions to automate tasks, glean actionable insights from data, make better predictions, improve decision-making processes, and refine customer experiences.
There are many types of AI solutions to consider; the impact of will vary depending on your industry, organization and use case in question.
Generative AI solutions
Generative AI (GenAI) is a subset of deep learning algorithms that produce new, authentic content from unstructured data inputs, such as text, images or audio. GenAI algorithms can generate remarkably realistic and diverse outputs, including lifelike images, natural language text, and convincing audio samples by leveraging complex neural network architectures.
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.
Explore GenAI services from WWT
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
WWT provides an end-to-end software development lifecycle of digital twins, from model design through layer design and adhesion, building a living model, and integration and automation.
Building and integrating a digital twin with metaverse infrastructure requires innovations to the building blocks of your infrastructure. The good news is that this modernization will unlock other downstream benefits, such as improved costs, security, and enhanced thermal/power design.
Read digital twin case study
Machine learning solutions
Machine learning (ML) is a subset of AI that focuses on enabling computers to learn from data and improve their performance on specific tasks without explicit programming. ML algorithms analyze large datasets to autonomously identify patterns, trends and relationships, allowing computers to make predictions, decisions and discoveries. The process typically involves training a model on labeled data and then using that model to make predictions on new, unseen data.
One common approach in ML involves using artificial neural networks, inspired by the structure and function of the human brain, to process complex data and extract meaningful insights.
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.
Read ML case study
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
We leverage cutting-edge computer vision, analytics and AI technologies to elevate customer and employee experiences across industries like retail, healthcare, the life sciences, manufacturing, hospitality and entertainment, and more.
We can show you how to harness computer vision to solve talent shortages, automate operations, and exceed customer expectations, providing fresh experiences that deliver the unexpected. For example, our clients have adopted computer-vision applications for predictive maintenance, quality control, supply chain optimization, safety and security, predictive analytics, remote monitoring, data insights, and energy efficiency.
Learn more about computer vision
IoT and automation solutions
The Internet of Things (IoT) refers to the physical network of interconnected devices, objects, sensors, systems, software and connectivity capabilities that enable the collection and exchange of data over the internet. These "smart" devices can communicate with each other and with humans.
IoT enables the seamless integration of the physical and digital worlds, enabling devices to gather and share data, perform automated actions, and provide insights. By enabling the remote monitoring, control and optimization of physical objects and environments, IoT empowers businesses to make data-driven decisions, automate processes, and unlock new levels of efficiency and innovation.
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.
Learn more about IoT
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
Customer service and support is a top use case for NLP. As customer expectations evolve, businesses need advanced technologies like NLP to stay competitive. NLP solutions can be used to automate and enhance customer interactions, improving the overall customer experience.
WWT accelerates contact center transformation with our Natural Language Accelerator, which streamlines the integration of NLP solutions. Our iterative methodology swiftly refines NLP models, ensuring responsiveness to evolving customer needs while enhancing overall user satisfaction. Our approach also minimizes uncertainty and risk, enabling the systematic and incremental adoption of NLP.
Read about our Natural Language Accelerator
AIOps solutions
AIOps refers to the application of AI/ML techniques to enhance, automate, and streamline various aspects of IT operations, reduce manual effort, and enable IT teams to make data-driven decisions. It leverages advanced analytics, comprehensive observability, data processing and automation to improve the efficiency, reliability, and performance of IT systems and processes.
AIOps combines data from various sources to gain insights and detect patterns or anomalies in real time. By analyzing this data, AIOps platforms can identify and predict IT incidents, troubleshoot problems, and provide proactive recommendations for optimization and remediation.
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.
Explore AIOps at WWT
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.
How WWT helps
We guide enterprises through end-to-end MLOps transformation, helping them bridge the gap to operationalizing and scaling MLOps best practices and initiatives. We cater to mature data environments and strategic ML approaches.
With structured guidance, including proving value through use cases and developing proof-of-concept platforms, we can accelerate your ML adoption in the pursuit of innovation and growth.
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