Tag: Large Language Models

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

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

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…

Leading AI Agents Defining 2025

Leading AI Agents Defining 2025

Influence is no longer a human-only trait. By 2025, AI agents—agile, self-learning, and autonomous—are evolving beyond digital assistants into digital strategists. While many still see them as support tools, today’s most influential AI agents are driving decisions, shaping workflows, and even impacting corporate governance. Beyond the Assistant Role For years, AI agents quietly handled behind-the-scenes tasks—organizing…

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

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…

How Do AI Agents Differ from AI Assistants?

How Do AI Agents Differ from 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…

How AI Will Drive Key Technology Trends in 2025

How AI Will Drive Key Technology Trends in 2025

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…

Unlocking the Power of LLMs: A Guide to Building intelligent machines

Unlocking the Power of LLMs: A Guide to Building intelligent machines

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…

LLM Vulnerabilities Unveiled: The Top Five Risks of 2024

In a turn of events worthy of a sci-fi thriller, Large Language Models (LLMs) have surged in popularity over the past few years, demonstrating the adaptability of a seasoned performer and the intellectual depth of a subject matter expert. These advanced AI models, powered by immense datasets and cutting-edge algorithms, have transformed basic queries into…

Mastering AI-Powered Data Visualization in 2024: Preparing for the Next Wave in 2025

Mastering AI-Powered Data Visualization in 2024: Preparing for the Next Wave in 2025

As we close out 2024, the pace of data visualization innovation will continue to accelerate. For B2B businesses, the ability to transform complex data into actionable insights is now a necessity rather than a luxury. Central to this evolution is Artificial Intelligence, which is reshaping dashboards and data visualizations to enable organizations to make faster,…

AITech Interview with Dev Nag, CEO of QueryPal

AITech Interview with Dev Nag, CEO of QueryPal

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…

Graph RAG Takes the Lead: Exploring Its Structure and Advantages

Graph RAG Takes the Lead: Exploring Its Structure and Advantages

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…

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