2+ hour, 11+ min ago   (718+ words) Every dataset has a story'but few announce themselves with terms of endearment. When Microsoft AI researchers dug into tens of millions of Copilot conversations, one finding that jumped off the screen wasn't code or spreadsheets. It was a sharp uptick…...

7+ hour, 46+ min ago   (13+ words) Secure every database on day one: Guardium and Terraform for scalable, automated protection'IBM...

1+ day, 4+ hour ago   (19+ words) Choosing the right silicon for the right workload: Why architectural choice matters in the next era of cloud performance'IBM...

1+ day, 7+ hour ago   (9+ words) Netezza in 2026: Powering the future of enterprise analytics'IBM...

1+ day, 11+ hour ago   (891+ words) With an expanded roster of functions and new, user-friendly features and resources, Qiskit Functions are helping applications researchers apply quantum methods to new challenges'no deep quantum expertise required. Today, the Qiskit Functions Catalog includes nearly a dozen functions in areas…...

2+ day, 10+ hour ago   (389+ words) IBM holds edge in research, product portfolio and ecosystem. Quantum computing is an emerging technology under development by companies and research outfits worldwide. In our opinion, this recognition in the recent Gartner report and research firms solidifies IBM leadership in…...

2+ day, 13+ hour 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 It may include duplicate records, missing or null values, inconsistent formats, outdated information, invalid entries, broken relationships between…...

5+ day, 16+ hour ago   (418+ words) Construction begins on India's Quantum Valley Tech Park as the nation grows its quantum education initiatives and prepares for its first IBM quantum computer. The new Quantum Valley Tech Park will play a pivotal role in building India's talent pipeline,…...

5+ day, 19+ hour 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…...

6+ day, 9+ hour ago   (756+ words) Serre Chevalier turned to IBM watsonx Orchestrate'to reimagine how customers select ski passes and resolve common questions. Serre Chevalier recognized a growing reality facing the entire travel and hospitality sector: traditional customer service models cannot keep pace with rising complexity,…...