Safari
Chrome
Firefox
Edge
Research Library
123 results found
Automation Priorities
A step-by-step guide to achieving automation success
Facilities Infrastructure Priorities in the Age of AI
AI adoption is quickly gaining momentum in the enterprise space, but there are key priorities that data center operators and IT decision-makers need to consider regarding the hardware and design of their data centers, including power and cooling. Here are your facilities infrastructure priorities for 2024.
Customer Experience Priorities
A roadmap for exceeding customer expectations, leveraging AI effectively and creating a competitive advantage
Secure Your Future: A CISO's Guide to AI
A step-by-step guide to unlocking the power of AI while protecting critical data and navigating the complex regulatory landscape.
Security Maturity Model
How to assess the security posture of your organization: A step-by-step guide for CISOs to build alignment, reduce risk and deliver business value.
Digital Workspace Priorities for 2024
A roadmap for improving the digital employee experience
Data Center Priorities
A roadmap for what to prioritize in the data center space in the coming year.
Generative AI: Risks, Rewards and a Framework for Utilization
Identifying existing and potential use cases will enable faster return on investment with generative AI and help determine your ownership model moving forward.
Cloud Priorities
Are your cloud environments ready for evolutions in AI, FinOps, data security and industry clouds?
Cloud Maturity Model
A guide for systematically assessing and maturing cloud capabilities across an organization's people, processes and technology.
IT Infrastructure and Operations Landscape Report in the AI Era
Discover how AI is transforming IT infrastructure and operations with insights into cutting-edge technologies and solutions, like edge computing and sustainable IT practices, that will revolutionize your organization's future.
Develop a Framework for Building AI-Powered Digital Assistants | Research
AI-powered chatbots or virtual assistants are rapidly growing as organizations look to more efficiently respond customer needs and drive loyalty through a more personalized experience. But building AI-powered digital assistants is challenging given the numerous approaches and tools available on the market.
Pulling upon experience building two intelligent digital assistants for internal-to-WWT purposes, WWT Data Science Director Ankur Gupta and Data Consultant Dale Hsu dive into the dos and don'ts of building AI-powered chatbots that can drive value for your business. Ankur discusses a three-layered framework approach designed to solve for scale and cost bottlenecks. And Dale discusses key learnings that can help you in your AI journey.