WWT BUSINESS & ANALYTICS ADVISORS
Artificial Intelligence, Machine Learning and MLOps
Artificial Intelligence and Machine Learning
Deliver actionable business insights faster by unlocking the power of artificial intelligence (AI), machine learning (ML) and machine learning operations (MLOps).
Today's end users increasingly expect seamless, personalized and meaningful interactions with businesses — especially as more and more data is collected in everyday transactions.
Smart businesses are leveraging AI/ML and MLOps to create enhanced experiences with this data. These specialized techniques also enable data science teams to expedite key business initiatives and streamline solution deployment.
Why WWT for AI/ML and MLOps?
Our AI & Analytics teams specializes in helping organizations leverage and scale AI/ML capabilities to deliver better customer experiences, improve operational efficiencies and increase market competitiveness.
Many Fortune 100 and 500 companies have used WWT's AI/ML expertise to discover new sources of revenue and lines of innovation. We're ready to do the same for you, whether you need help planning or executing your next AI/ML initiative.
What it is? Who is it for?
Our AI/ML approach: Strategy plus execution
We take a phased approach to project-based engagements, with each phase typically lasting two to four months. Customers receive a set of carefully scoped deliverables at the end of each phase.
Phase 1 example
- Step 1: Solution Consulting
Our experts host an Ideation workshop to learn about your organization’s unique pain points and gaps. This workshop will consist of as many working sessions are needed to fully discover the use cases for each of your business stakeholders. Each working session in this use case acceleration phase typically runs from a half to a full day.
- Step 2: Solution Building
Then we iteratively develop short- and long-term solutions to Phase 1 use cases based on an assessment of your current state and your future vision. Solution building and project plan development can run from one to three weeks.
- Step 3: Solution Deployment
Our experts pride themselves on guiding you through implementation and deployment efforts. This final phase includes reevaluating and fully scoping Phase 2 use cases.
With more than 100 data scientists, engineers and consultants, our Analytics & AI team is equipped with the technology and business expertise to execute AI/ML solutions wherever you need help — from strategy and roadmap generation through deployment and implementation.
Along the way, our MLOps experts can help you find new ways to push AI/ML models to production in a standardized and consistent fashion, enabling your data scientists to develop more models and deliver more frequent insights.
Through project-based engagements, you’ll gain access to a team of experts ready to arm you with the best tools and processes for managing and analyzing data.
Regular meetings will keep you actively involved in the creation of deliverables. You'll work with experts to collaboratively build your future state vision while identifying the best strategies to get you there.
Our data scientists and engineers have experience with the latest and greatest tools, software, platforms and processes to accelerate your data maturity efforts. We practice what we preach.
By combining the capabilities of our Advanced Technology Center (ATC) with the expertise of our in-house AI R&D program, we’re constantly gaining hands-on experience with the newest technologies, discovering for ourselves their benefits and limitations before rolling them out to you.
Getting Started With MLOps: For Data Scientists
Deep Learning With NVIDIA DGX-1- old
Obscuring and Analyzing Sensitive Information With Generative Adversarial Networks - Old
Machine Learning for Shovel Tooth Failure Detection - Old
Privately Training an AI Model Using Fake Images Generated by Generative Adversarial Networks - Old