News
IBM Db2 12.1.4 now available: Reducing operational friction and expanding data connectivity
4+ hour, 9+ min ago (514+ words) Building on the AI integration, availability and scalability enhancements delivered in the 12.1.3 release, Db2 12.1.4 introduces targeted improvements that help DBAs, platform teams and data engineers run Db2 predictably while easily integrating with lakehouse architectures, distributed data platforms and cloud-based compliance workflows. Db2 12.1.4 delivers…...
OpenLineage for a unified lineage view across structured and unstructured data to enable explainable AI | IBM
3+ day, 2+ hour ago (467+ words) This announcement marks a significant step in IBM's approach to interoperable lineage: IBM products are integrating with one another using an open-source standard rather than a proprietary metadata model. In November, IBM announced expanded OpenLineage support within watsonx.data intelligence,…...
What Is a Hierarchical Reasoning Model? | IBM
1+ week, 5+ day ago (1490+ words) HRMs were first introduced as an open source model described in a paper by Guan Wang, et al in June 2025. At size of only 27M parameters, the model beat dramatically larger models, such as OpenAI's o3, Anthropic's Claude 3.7 Sonnet and DeepSeek-R1which has…...
Netezza in 2026: Powering the future of enterprise analytics
3+ week, 1+ day ago (9+ words) Netezza in 2026: Powering the future of enterprise analytics'IBM...
What Is Dirty Data? | IBM
3+ week, 2+ day ago (969+ words) Dirty data is information that is'inaccurate, invalid, incomplete or inconsistent, making it unreliable for business use. Dirty data can take many forms. It may include duplicate records, missing or null values, inconsistent formats, outdated information, invalid entries, broken relationships between…...
What is LLM Inference? | IBM
3+ week, 5+ day ago (861+ words) This architectural complexity especially the need to process and attend to a large volume of tokens, makes LLMs expensive to train, often requiring massive datasets, specialized hardware and significant compute time.When trained, these models must be deployed to serve…...
Enabling acceleration of collaborative regulatory authoring with Regulate.AI
1+ mon, 3+ day ago (670+ words) IBM collaborated with global pharmaceutical organizations to co-develop and pilot Regulate.AI, a multi-agent authoring tool powered by agentic AI and designed to support scalable, high-quality regulatory document creation suitable for use cases across industries. Regulatory authoring remains one of…...
Secure and automate hybrid IT workloads with IBM’s new DataPower Gateway X4 appliance
1+ mon, 1+ week ago (285+ words) Building on the proven lineage of IBM security gateways, the DataPower" X4 appliance delivers capabilities with significant improvements in performance, security and usability. IBM has introduced the next generation of physical appliance, the DataPower Gateway X4, a high-performance drop-in enterprise security gateway…...
Why AI Data Quality Is Key To AI Success | IBM
1+ mon, 2+ week ago (951+ words) Artificial intelligence (AI) data quality is the degree to which data is accurate, complete, reliable and fit for use across the AI lifecycle, including training, validation and deployment." Organizations worldwide continue to invest heavily in AI. Global AI spending is…...
How to summarize text using Python NLP and extractive text summarization | IBM
1+ mon, 3+ week ago (905+ words) AI Advocate & Technology Writer Modern transformer model architectures based on neural networks dominate many NLP tasks. This tutorial focuses on classical approaches that remain valuable in data science workflows where interpretability, limited dependencies and predictable summary length matter.These methods…...