Juro has launched Operator, which provides natural language ‘conversational access to a business’s contracts and data’ in order to surface key information. The inhouse-focused company ...
Nearly halfway into 2026, enterprises are beginning to see tangible returns on their AI investments. Yet many are discovering that scaling requires something far less glamorous than flashy frontier models and state-of-the-art benchmarking: Clean, interoperable, governed data.
According to a new AI Momentum Survey from Dun & Bradstreet, 97% of organizations report active AI initiatives, but just 5% say their data is ready to support them.
This reflects the messy reality of AI as enterprises struggle to move beyond experimentation to operationalization.
“You do not need enterprise-wide AI-ready data to launch pilots or isolated AI use cases,” said Cayetano Gea-Carrasco, Dun & Bradstreet’s chief strategy officer. “But you do need it to scale AI reliably across mission-critical workflows and systems.”
Early gains seen
Organizations are all-in on AI in 2026 and view it as a mission-critical imperative, according to the D&B report. Well over half (67%) are seeing “early signs or pockets” of
Hierarchical understanding and comparison of contracts, research papers, and more
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Ethereum trades at $2,329.78 as AI agents use its network for Onchain tasks, contracts, and programmable payments. Ethereum is drawing fresh attention as developers link artificial intelligence agents with Onchain tasks, smart contracts, and programmable payments. The network is being presented as a base layer where AI systems can act, verify identity, and move value. […]
The post Ethereum Emerges as a Key Network for AI Agents and Onchain Tasks appeared first on Live Bitcoin News.
Every data leader has a version of this story. A regulatory audit surfaces a metric that doesn’t match across systems. A board member catches conflicting revenue numbers in two reports presented back-to-back. An AI tool generates a recommendation based on data that hasn’t been governed since the analyst who built it left the company two […]
Ahead of the AI & Big Data Expo at the San Jose McEnery Convention Center, May 18-19, we spoke to Jerome Gabryszewski, the company’s AI & Data Science Business Development Manager about AI, processing data for AI ingestion, and local versus cloud compute. The technology media is fond of quoting that data is ‘the new […]
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