Generative AI

Perficient’s Generative AI Lab, part of our larger Generative AI Innovation Group, is consistently exploring and implementing use cases for generative AI and helping clients operationalize it with policies, advocacy, controls, and enablement. One use case organizations can consider is generative AI code generation, which allows companies to automate and expedite the software development process. […]

The recent introduction of AWS Q has certainly caught the attention of the tech community. This new platform offers a promising set of features, including Retrieval Augmented Generation capabilities, aiming to enhance the domain of generative AI-powered assistance. It’s an interesting development that offers fresh possibilities for IT professionals and developers. In terms of utilizing […]

Introduction: The world is changing rapidly, and with it, there is an ever-increasing demand for intelligent and automated systems. Machine learning is a powerful tool that can help us create intelligent systems that learn and adapt to changing circumstances. Microsoft Azure OpenAI is a cloud-based platform that provides a wide range of machine learning tools […]

Introduction Microsoft’s Azure OpenAI offers a variety of AI tools and services that make artificial intelligence available to a wider range of users. This article provides a step-by-step guide. How to create an Azure OpenAI service. Deploy a model. And use the playground for interactive testing and experimentation. The aim of this guide is to […]

Our technology journey continues forward at an incredible pace – and today I’m honored to be alongside IT leaders and technical visionaries at AWS re:Invent in Las Vegas to connect on innovations, ideas, and groundbreaking strategies based on technology – and entirely focused on impacting real-world outcomes. We’re just getting started here, but already the […]

I recently had the pleasure of attending HCIC – The Healthcare Internet Conference with Perficient’s Senior Healthcare Strategist, Kayla Brown. Kayla and I were both invited to speak at the conference, and, while we were there, we took full advantage of the great learning opportunities that always arise with the industry comes together. Kayla spoke […]

With nearly three decades of experience directing commercial lending, corporate finance, and insurance for leading brands, Perficient’s Insurance Principal, Brian Bell, stands at the forefront of our financial services practice. In the increasingly competitive insurance landscape, organizations must strategically leverage digital transformation, and Brian excels at navigating this evolution to deliver maximum client value across […]

Introduction to NLP to SQL With the availability of powerful large language models, we now can convert natural language into accurate SQL (NLP to SQL) with a single callout, enabling users to express their information needs naturally and efficiently. In this blog, we will explore the creation of a Data Questioning and Answering web application. […]

Perficient’s Generative AI Lab, part of our larger Generative AI Innovation Group, is consistently exploring and implementing use cases for generative AI and helping clients operationalize it with policies, advocacy, controls, and enablement. One use case organizations can consider is augmented research for sales prospecting, which allows sales professionals to find valuable prospects quickly and generate […]

What makes a consumer buy a product from one brand over another? The answer used to be brand loyalty and quality of product, but the landscape for consumer goods companies has recently flipped upside down. Anymore, consumer goods companies gain and retain loyalty from customers because of the experiences they provide. Thankfully, generative AI has […]

“Einstein for Developers” refers to the set of artificial intelligence (AI) and machine learning (ML) tools and features available for developers within the Salesforce platform. Salesforce Einstein is designed to help Salesforce developers build smarter, more predictive, and more automated applications that enhance their CRM and business processes. Einstein for Developers is a generative AI […]

Introduction LangChain represents an open-source framework that aims to streamline the development of applications leveraging large language models (LLMs). Its primary objective is to establish a standardized interface for chains, boasting numerous integrations with various tools, and offering end-to-end chains for frequently encountered applications. This platform facilitates AI developers in constructing applications that amalgamate Large […]