Generative AI

In 2025, the medical device industry trends are not just shaping the future—they’re redefining the present. As technology advances at an unprecedented pace, regulatory landscapes evolve, and patient expectations rise, the industry stands at a pivotal juncture. Embracing these trends offers a pathway to innovation, market expansion, and enhanced patient outcomes. However, success requires strategic […]

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 […]

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.  […]

Salesforce has officially unveiled Agentforce 2.0, a groundbreaking update that redefines how enterprise AI solutions are developed, deployed, and managed. This new iteration introduces innovative features designed to streamline collaboration, enhance integration, and provide unmatched flexibility for building AI-powered workflows. Agentforce 2.0 focuses on three primary advancements: headless agents for seamless programmatic control, advanced Slack […]

The release of Salesforce Agentforce 2.0 introduces a powerful AI-driven architecture that transforms how enterprises build, deploy, and manage intelligent agents. However, leveraging these advanced capabilities requires a well-structured DevOps strategy. Below are best practices for ensuring successful implementation and optimization of Agentforce 2.0. Pic Courtesy: Salesforce Best Practices for AgentForce 2.0 Below are best […]

The healthcare industry stands at a transformative crossroads with generative AI (GenAI) poised to revolutionize care delivery, operational efficiency, and patient outcomes. Recent MIT Technology Review research indicates that while 88% of organizations are using or experimenting with GenAI, healthcare organizations face unique challenges in implementation. Let’s explore a comprehensive approach to successful GenAI adoption […]

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 […]

The U.S. healthcare insurance industry stands at a pivotal moment. Amid rising costs, regulatory pressures, and an increasing demand for personalized care, healthcare payers must reinvent themselves. Generative AI (GenAI) offers a transformative pathway, enabling payers to transition from reactive cost management to proactive health enablement and strategic value creation. A new era of opportunity […]

In today’s world, where Artificial Intelligence (AI) is making waves in almost every industry, one of the most pressing concerns for organizations is their data security. This concern grows significantly when leveraging AI tools like Einstein Generative AI, which interacts with actual customer data. Ensuring the safety, privacy, and integrity of that data is paramount. […]

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 […]