AI-driven midstream reliability is transforming gas compression by improving uptime, boosting throughput, and reducing ...

GeekWire chronicles the Pacific Northwest startup scene. Sign up for our weekly startup newsletter, and check out the GeekWire funding tracker and VC directory. by Taylor Soper on Jan 5, 2026 at 2:28 ...

The rapid advancement of AI, generative AI, and automation is reshaping every facet of BI, analytics, and data science, requiring businesses to stay ahead of emerging trends. Companies that ...

IBM Corp. said today it has signed a definitive agreement to acquire streaming data firm Confluent Inc. in an all-cash transaction valued at about $11 billion, paying $31 per share in cash for all ...

IBM is buying data infrastructure company Confluent for $11 billion in cash in a bid to bolster its data and automation products as ever more companies move their tech operations to the cloud and ...

Copyright 2026 The Associated Press. All Rights Reserved. Copyright 2026 The Associated Press. All Rights Reserved. The logo for IBM appears above a trading post on ...

IBM (IBM) revealed today it plans to acquire Confluent (CFLT), a pioneer in data streaming, for about $11B, prompting Confluent shares to surge more than 25% during early Monday trading. Confluent ...

IBM agreed to purchase data streaming platform Confluent for $11 billion Monday. Both companies’ boards greenlit the transaction, which is expected to close by the middle of next year, pending ...

The move reflects a rapidly intensifying race among technology giants to strengthen the data foundations required for generative and agentic AI. Source: IBM IBM has AI on its mind with plans to ...

Advanced data visualization and analytics have become central to enterprise IT strategies as organizations face rapid data growth from cloud services, software-as-a-service applications, edge devices, ...

How is AI and data leadership at large organizations being transformed by the accelerating pace of AI adoption? Do these leaders’ mandates need to change? And should overseeing AI and data be viewed ...