Generative AI
What is generative AI? Generative AI or genAI is defined as set of technologies and techniques that leverage very large corpuses of data, including large language models like GPT-3, to generate new content. Inputs for generative AI may be natural language prompts or other non-code and non-traditional inputs. It is sometimes referred to as AI-generated content or AIGC and can be used by a variety of roles and functions in the enterprise. GenAI includes large language models, generative adversarial networks, diffusion models, and variational autoencoders. It provides the ability to create shortcuts for onerous workflow tasks, speed up delivery times, and enhance employee productivity across multiple enterprise workflows. It increases the scale and speed of analysis and knowledge synthesis for various roles such as developers, marketers, and data scientists. In the short term, it will expand the breadth of human creative expression and drive innovation in product development, design, and content creation.
Insights
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AI Cost As A First-Class Metric — Our Conversation With David Tepper, CEO And Cofounder Of Pay-i
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Public-Sector IT Leaders: It’s Time To Prioritize The Right Emerging Technologies
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SAP Sapphire 2025: What Tech Leaders Need To Know
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Red Hat Summit 2025: AI, Virtualization, Hybrid Cloud, And The Future Of Enterprise IT
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Standing Out In A Zero-Click World Starts With Stronger Collaboration
Buyers may never click through to your content, even if it’s relevant, well structured, and aligned to buyer needs. This doesn’t mean your content is any less important — it’s just that the rules have changed.
Ultimate Guide To The Top 10 Emerging Technologies
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Podcast
New AI Lessons In Coding, Marketing, And Product Design
In this episode, we look at how to avoid the risks of AI-enabled tools in three common business use cases: coding, marketing, and product design. The key takeaway from all three areas: There’s still a strong need to have a human in the loop to review your AI outputs.
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Introducing TCQ, Forrester’s Technology Change Quotient
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From Legacy ITSM To Proactive Service Management: Why 2025 Is The Year To Rethink Your Strategy
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All In On Autonomous Coding
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Adapt And Thrive In A Zero-Click World
Attend our live webinar with Principal Analyst Lisa Gately. Learn breakthrough strategies to reshape your B2B marketing for AI-driven search and complex buying networks.
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Shifting Search Behaviors Demand Smarter Content Strategies
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Eaton’s Solutions By The Sea Data Center Vision And Partner Conference: Predicting The Future Of Data Centers
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Agentic AI And IT Maturity: Bridging The Gap Between ServiceNow’s Vision And The IT Reality
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Geopolitics Accelerates Emerging Technology Investment In Europe
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How Emerging Tech Will Transform Digital Banking Experiences Over The Next Decade
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Racing Ahead: Emerging Technology Adoption In The APAC Region
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The Evolution From Continuous Automation Testing Platforms To Autonomous Testing Platforms: A New Era In Software Testing
For years, continuous automation testing (CAT) platforms have been the gold standard for reducing manual testing and ensuring comprehensive coverage across diverse environments. But with the advent of generative AI (genAI) and large language models (LLMs), we are entering a new era: the rise of autonomous testing platforms.
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