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January 28, 2026

Anthropic Embeds Claude Directly Into Workplace Software

January 27, 2026

UAE Unveils Its Own AI Model to Take on Global Rivals

January 26, 2026

Microsoft Claims AI Chip Supremacy

December 18, 2025

Inbenta AI Appoints Channel Veteran Brandon Pineda to Spearhead Aggressive Ecosystem Expansion as Head of Global Partnerships Amid Surging Demand for Production-Ready Enterprise AI

September 26, 2025

Inbenta AI Wins 2025 TSIA STAR Award as Digital Customer Success Innovator of the Year

September 18, 2025

Inbenta Named Finalist in TSIA 2025 STAR Awards for Digital Customer Success Innovator of the Year

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The Complete Guide to AI Chatbots and How They Evolve Into AI Agents

AI agents have arrived. Today, more than 987 million people interact with AI chatbots, and the technology has advanced well beyond scripted, rule-based systems. Businesses are now turning toward AI agents — autonomous systems capable of taking actions, executing workflows, and delivering measurable results. The U.S. market for enterprise AI agents is projected to jump from $769.5 million in 2024 to $6.56 billion by 2030. The adoption of this technology by businesses has been rapid. Here’s a guide to start deploying AI agents successfully in your business.

Businesswoman using AI chatbot on smartphone while walking in a U.S. city, showcasing AI agent adoption in enterprise technology.

From index cards to AI: The evolution of the search engine

AI Insights: How businesses can overcome the challenges of implementing AI

Many companies rush to adopt AI, particularly Generative AI, but can falter due to poor data prep and challenges with integration. As Inbenta CEO Melissa Solis explains, clean, accurate data is essential, as is any solution’s ability to integrate with a company’s existing systems. By focusing on specific goals and working with adaptable AI providers like Inbenta, companies can overcome many of these issues to effectively implement AI solutions and improve how their business operates.

How Generative AI is revolutionizing customer service

Generative AI is transforming customer service. Its ability to generate text, images, even code, allows it to handle simple customer support tasks, freeing up human agents for more complex issues and boosting their productivity. Key benefits of GenAI include resource optimization, personalized interactions, content generation, after-hours support, omnichannel options, assisting human agents, and quality control.

Happy customers using conversational support powered by AI

The Secret Power of Conversational Support

Best practices for writing effective AI dialogs

Learn to craft compelling AI dialogs. This post shares best practices for realistic, effective character dialogs, with tips on formatting and adding action.

AI Insights: The power of data

Businesses are in a paradigm shift where data drives innovation. Merlin Bise, Inbenta CTA, emphasizes that quality data leads to breakthroughs, while poor data management risks AI model failures. Successful digital transformation requires robust data and seamless online-offline integration to meet customer expectations and harness AI's power for business growth.

Balancing innovation and risk with agentic AI

Integrating AI Agents into customer service offers both opportunities and challenges. Businesses can balance innovation with risk management by setting clear boundaries for their AI systems, enhancing the customer experience without compromising quality or compliance.

Symbolic AI vs Machine Learning in Natural Language Processing

Since its foundation as an academic discipline in 1955, Artificial Intelligence (AI) research field has been divided into different camps, of which symbolic AI and machine learning. While symbolic AI used to dominate in the first decades, machine learning has been very trendy lately, so let’s try to understand each of these approaches and their main differences when applied to Natural Language Processing (NLP).

The new customer service frontier: Why companies are betting big on AI Agents (and winning!)

AI Agents are transforming the way businesses interact with their customers, providing faster and more accurate responses at a lower cost. However, businesses must first integrate them with their existing systems, as well as addressing data privacy concerns and the need for continuous updates. Despite these challenges, AI Agents are reshaping customer interactions, making them more efficient and personalized, and ultimately driving business success.

5 emerging AI technologies in 2025

The role of AI in e-commerce automation

5 challenges businesses face in adopting AI at scale

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