Category: Artificial Intelligence

Artificial Intelligence

IBM Enhances Software and Infrastructure for AI Adoption

Insights Desk

At TechXchange 2025, IBM’s annual event for developers and technologists, the company showcased new and upcoming product capabilities aimed at helping enterprises move beyond AI experimentation and achieve productivity gains across development, operations, and business workflows.

Drawing thousands of global attendees, TechXchange highlighted IBM’s latest innovations in agentic AI, hybrid cloud, quantum computing, and intelligent infrastructure.

Generative AI could generate trillions in economic value in the coming years, but many organizations struggle with adoption due to fragmented hybrid environments, data quality issues, and AI readiness gaps.

IBM’s latest offerings tackle these challenges with solutions designed for production-ready AI, real-time governance, and seamless integration across hybrid cloud ecosystems.

“AI productivity is the new speed of business. These features will help clients remove bottlenecks across their entire technology lifecycle,”

said Dinesh Nirmal, Senior Vice President of Products, IBM Software.

“With these enhancements across our portfolio, we’re giving customers capabilities that take developer productivity, agentic orchestration and infrastructure intelligence to the next level.”

At the heart of IBM’s agentic AI framework is watsonx Orchestrate, offering over 500 tools and customizable, domain-specific agents from IBM and its partners. Designed to be tool-agnostic and adaptable to any environment, Orchestrate enables scalable deployment and governance of AI agents.

Key features include AgentOps, a built-in observability and governance layer that provides full lifecycle transparency. With real-time monitoring and policy-based controls, AgentOps helps organizations assess and ensure agent reliability.

IBM also plans to bring these capabilities to the mainframe with the upcoming watsonx Assistant for Z. Purpose-built IBM Z agents will shift operations from reactive troubleshooting to proactive system management, leveraging conversational context to automate processes while ensuring security and compliance.

Building on the IBM z17 launch, this redesigned experience is designed to streamline workflows and boost productivity for mainframe users.

Artificial Intelligence

Clarivate Launches AI Solutions to Boost Patent Strategy

Insights Desk

Clarivate Plc, a global provider of transformative intelligence, has introduced two new solutions for Innography users: Innography AI Classifier, designed for portfolio benchmarking, and Innography SEP Analyzer, built to simplify standard essential patent (SEP) negotiations.

These innovations further strengthen Innography’s tradition of connecting patents with business strategy, enabling organizations to make quicker, more informed decisions around patent portfolio management, licensing, and commercialization.

Innography AI Classifier harnesses the power of supervised machine learning and large language models (LLMs), combined with Derwent World Patents Index data, to deliver highly accurate patent classification, achieving up to 97% accuracy on the first attempt.

This advanced AI technology enables patent professionals to classify patents efficiently and consistently at scale, applying a tailored perspective to analyze their own or competitors’ portfolios. The tool works with or without training data, reducing classification tasks from weeks to just minutes, and helping organizations accelerate strategic portfolio decisions.

Innography SEP Analyzer simplifies research by standardizing and categorizing standard essential patent (SEP) data, complemented by clear visualizations for concise reporting and analysis. With this solution, patent strategists and licensing teams gain objective insights into competitor declarations, helping them drive faster and more informed licensing negotiations.

Shandon Quinn, Vice President, Patent Intelligence, Clarivate, said

“Innography SEP Analyzer is another example of Clarivate offering its best-in-class data through solutions that support critical decisions. Together with the AI Classifier, these new capabilities in Innography represent an important step forward in leveraging AI technology and enriched data to drive patent portfolio strategies and commercial decisions.”