large language models

Justin Borgman, Co-founder and CEO at Starburst – AITech Interview

To start, Justin, can you share a bit about your journey as a software engineer and how those early experiences influenced your path to founding Starburst? My background as a software engineer gave me firsthand insight into the complexities of building technology that solves real-world problems. Early in my career, I founded Hadapt, which introduced […]

DataOps.live, CTO and Co-founder, Guy Adams – AITech Interview

Hello Guy. We are elated to have you at AI Tech Park. Could you please tell us how DataOps.live came to fruition and give us a brief about your role as CTO at DataOps.live? I’m delighted to be here! We came up with the inspiration for DataOps.live from our experience leading a tech-forward Systems Integration […]

Understanding the Key Differences Between AI Agents and AI Assistants

The rapid acceleration of the AI revolution raises a vital question for companies: Are AI agents fundamentally different from AI assistants, or are they just newer iterations of the same technology? For organizations investing in AI-driven transformation, understanding this distinction is critical—it marks a strategic pivot in how AI is deployed across business operations. The […]

AI in 2025: How It Will Shape the Future of Technology

In 2025, it’s not surprising that the tech industry is on the verge of dramatic transformation, with the rapid emergence of Artificial Intelligence (AI) in enterprise companies. AI is set to reshape business operations across a wide range of sectors, from automating processes to enhancing decision-making, and driving profitability. As businesses increasingly adopt and apply […]

Crafting intelligent machines: A Guide to building high-performance LLMs

Large Language Models (LLMs) have become a transformative force in artificial intelligence, showcasing remarkable abilities in natural language processing and generation. Their capacity to understand, interpret, and produce human-like text has unlocked new possibilities across various sectors, including healthcare, finance, customer service, and entertainment. According to McKinsey, generative AI technologies like LLMs are expected to […]

Future of Causal AI: Predictions to Watch in 2025

As we approach 2025, the technological landscape continues to evolve at an unprecedented pace. The rapid development of emerging technologies is poised to revolutionize industries ranging from transportation to healthcare over the next decade. Innovations like causal AI and next-generation large language models (LLMs) are set to transform traditional methods, enabling businesses across sectors to […]

Innovative Sales Solutions with Large Language Models

Large Language Models (LLMs) are transforming the business landscape, particularly in sales. These advanced AI tools harness data to deliver valuable insights, revolutionizing how sales teams interact with customers, generate leads, and develop innovative sales strategies. This article explores how LLMs enhance efficiency, personalization, and strategic depth in sales operations. “LLMs are just beginning to […]

CEO of QueryPal, Dev Nag – AITech Interview

Dev, can you start by sharing the journey that led you to establish QueryPal and what inspired you to focus on transforming customer support through AI-powered ticket automation? The journey to QueryPal began with my experiences at Google and PayPal, where I saw firsthand the challenges of scaling customer support. I realized that while AI […]

From RAG to Graph RAG: A Deep Dive into Its Key Features

Generative AI – a technology wonder of modern times – has revolutionized our ability to create and innovate. It also promises to have a profound impact on every facet of our lives. Beyond the seemingly magical powers of ChatGPT, Bard, MidJourney, and others, the emergence of what’s known as RAG (Retrieval Augmented Generation) has opened […]