Posts Tagged ‘AI’

This week, the Perficient team had an amazing time at the Salesforce Manufacturing Summit in Atlanta. The event was filled with energy and innovation, and we were excited to be a part of it. With over 800 attendees, more than 40 sessions, and 20 product demonstrations, the summit provided a fantastic opportunity to connect with […]

Read more about my thoughts on ecommerce returns on MarTech.   With global ecommerce still on the rise, there’s been a corresponding increase in returns. About 30% of online purchases are returned, compared to just 8.89% from physical store sales. The financial impact is significant, with an estimated annual cost of $400 billion in the […]

I am always looking to write better, more performant and cleaner code. GitHub Copilot checks all the boxes and makes my life easier. I have been using it since the 2021 public beta, the hype is real! According to the GitHub Copilot website, it is: “The world’s most widely adopted AI developer tool.”   While that […]

Generative AI is a rapidly evolving field, and understanding its key terminologies is crucial for anyone seeking to navigate this exciting landscape. This blog post will serve as a comprehensive guide, breaking down essential concepts like Large Language Models (LLMs), prompt engineering, embeddings, fine-tuning, and more.    The Foundation of Generative AI Generative AI, as […]

Generative AI is rapidly transforming the world around us. From creating stunning artwork to composing music and even writing code, its capabilities are vast and expanding at an unprecedented rate. This blog post will serve as a comprehensive introduction to Generative AI, guiding you through its foundational concepts and exploring the groundbreaking features of ChatGPT.  […]

Amazon Q was front and center at AWS re:Invent last week.  Q Developer is emerging as required tooling for development teams focused on custom development, cloud-native services, and the wide range of legacy modernizations, stack conversions and migrations required of engineers.  Q Developer is evolving beyond “just” code generation and is timing its maturity well […]

Imagine you’re a small business owner. Every morning, you log into Salesforce, but instead of spending hours sorting through leads, crafting follow-up emails, and analyzing customer feedback, you find it all done for you. Your CRM didn’t just sit there—it worked while you slept. Sounds incredible, right? Welcome to 2025, where Salesforce’s Einstein GPT is […]

For the fourth consecutive year, Perficient has partnered with the Mark Cuban Foundation to offer free AI Bootcamps to underserved high school students across the United States. Held over the first three Saturdays of November, this initiative works to inspire the next generation of leaders in Artificial Intelligence and Machine Learning, providing them with hands-on […]

In the world of AI, we often hear about “Responsible AI.” However, if you ask ten people what it actually means, you might get ten different answers. Most will focus on ethical standards: fairness, transparency, and social good. But is that the end of responsibility? Many of our AI solutions are built by enterprise organizations […]

Now more than ever, we’re witnessing a significant shift from simple AI capabilities to action-driven AI Agents that promise to revolutionize how we approach knowledge work, product development, and business processes. Drawing insights from Perficient’s industry experts, we’re constantly exploring Generative AI, the emerging world of agentic frameworks, and their potential to reshape organizational capabilities.  […]

Imagine a world where digital interfaces anticipate your needs, understand your preferences, and adapt in real-time to enhance your experience. This is not a futuristic daydream, but the promise of generative interfaces.  Generative interfaces represent a new paradigm in user experience design, moving beyond static layouts to create highly personalized and adaptive interactions. These interfaces […]

by Luis Pacheco and Uday Yallapragada Introduction to Multiclass Text Classification with LLMs Multiclass text classification (MTC) is a natural language processing (NLP) task where text is categorized into multiple predefined categories or classes. Traditional approaches rely on training machine learning models, requiring labeled data and iterative fine-tuning. However, with the advent of large language […]