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…
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Guy Adams, CTO and Co-founder of DataOps.live – 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…
AI Agents vs. AI Assistants: What’s the Difference?
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…
The cost-effectiveness and power of open-source LLMs
Open large language models (LLMs) have emerged as a compelling and cost-effective alternative to proprietary models like OpenAI’s GPT model family. For anyone making products with AI, open models provide strong enough performance and better data privacy at a lower price point. They can also serve as viable replacements for tools and chatbots like ChatGPT….
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…
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Expert Opinion: Technological Predictions on Causal AI to Watch Out for 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…
A Perspective on Leveraging Large Language Models in Sales
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…
Top Five LLM Flaws of 2024: Navigating the Byte-Sized Battles
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…
Preparing for 2025: AI-Powered Data Visualization Tools to Use in 2024
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,…
Dev Nag, CEO of QueryPal – 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…
CEO and Founder at TurinTech AI, Leslie Kanthan – AI-Tech Interview
What are some common challenges and issues businesses face with code optimization when implementing AI solutions? Businesses implementing AI solutions often encounter several challenges with code optimization, mainly due to the dynamic and complex nature of AI systems compared to traditional software optimization. Achieving optimal AI performance requires a delicate balance between code, model, and…
Impact of AI Augmentation on the Future of Marketing
Marketing organizations are increasingly adopting artificial intelligence to help analyze data, uncover insights, and deliver efficiency gains, all in the pursuit of optimizing their campaigns. The era of AI augmentation to assist marketing professionals will continue to gain momentum for at least the next decade. As AI becomes more pervasive, this shift will inevitably reshape…
Powerful trends in Generative AI transforming data-driven insights for marketers
The intersection of artificial intelligence (AI) and digital advertising to create truly engaging experiences across global audiences and cultures is reaching an inflection point. Companies everywhere are leveraging powerful trends in AI, machine learning and apps for performance marketing. Today’s AI and machine learning technologies are allowing apps to understand speech, images, and user behavior…
The Top Four Semantic Technology Trends of 2024
Knowledge graphs (KGs) are digital maps that capture the relationships between entities in the real world. This structured data provides a foundation for LLMs, powerful AI systems that can process and understand human language. In 2024, the marriage of these technologies is leading to a new generation of AI. By combining the context-awareness of LLMs…
AI-Tech Interview with Dr. Shaun McAlmont, CEO at NINJIO Cybersecurity Awareness Training
Shaun, could you please introduce yourself and elaborate your role as a CEO of NINJIO? I’m Shaun McAlmont, CEO of NINJIO Cybersecurity Awareness Training. I came to NINJIO after decades leading organizations in higher education and workforce development, so my specialty is in building solutions that get people to truly learn. Our vision at NINJIO…
Daniel Langkilde, CEO and Co-founder of Kognic – AITech Interview
To start, Daniel, could you please provide a brief introduction to yourself and your work at Kognic? I’m an experienced machine-learning expert and passionate about making AI useful for safety critical applications. As CEO and Co-Founder of Kognic, I lead a team of data scientists, developers and industry experts. The Kognic Platform empowers industries from…