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2026-10-30

SiliconANGLE AI23:30

As Anthropic finally files for IPO, rising risks aren’t slowing the AI buildout – yet

The other artificial intelligence shoe dropped this week, as Anthropic filed for what surely will be the second blockbuster AI initial public offering of stock this year. Nearly 70,000 words in the filing list a ton of risks, but in short, it’s making unimaginably huge bets on buying computing power, it’s uncertain on how long […] The post As Anthropic finally files for IPO, rising risks aren’t slowing the AI buildout – yet appeared first on SiliconANGLE.

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2026-10-28

NVIDIA Blog23:00

NVIDIA RTX Spark Windows Laptops Gain New Models, Agent Tools and Games

NVIDIA RTX Spark powers thin and light laptops built for everything that developers, creators and gamers do. RTX Spark laptops are now available from ASUS, Dell, HP, Lenovo, Microsoft and MSI. These powerful systems combine an NVIDIA Blackwell RTX GPU and an NVIDIA Grace CPU in a single superchip with up to 128GB of unified […]

新闻源配图 · NVIDIA Blog

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dbt03:06

How to put generative AI directly into a dbt pipeline with plain SQL

Google Cloud on wiring BigQuery's AI SQL functions into dbt pipelines, from sentiment scoring to LLM-generated product briefings.

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dbt02:44

How KOHO built a Claude-powered self-serve analytics tool on years of dbt governance

KOHO explains why AI self-serve analytics needs a strong data culture and a governed dbt foundation first.

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dbt02:41

Why an AI agent's revenue query was $3.5 million wrong, and how AWS fixed it with dbt Semantic Layer

A plausible AI revenue query was $3.5 million wrong. AWS explains how business context helps prevent those errors.

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dbt02:34

Why most of your dbt models aren't in a hurry, and what that's worth in Snowflake credits

Most models in a dbt DAG aren't on the critical path. Espresso AI and Authentic Insurance on turning that slack into real savings.

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dbt02:20

How Ecolab used an AI migration agent to shrink 84,000 lines of legacy SQL by 6x

Ecolab and Datafold used an AI migration agent to rebuild a decade of tangled Snowflake logic as clean, documented dbt models.

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dbt02:16

How Checkr cut an hours-long metrics investigation to minutes by engineering AI context on dbt and Omni

Checkr gave its AI agent a structured dbt context layer, cutting a support-metric investigation from hours to minutes.

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dbt02:07

How LangChain grew self-serve analytics questions 40x by giving its AI agent layered context

LangChain gave its Hex agent layered context, turning self-serve analytics questions from occasional to routine.

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dbt02:01

Ship AI agents like tables: dbt materializations for Snowflake CoWork

Under Armour turned Snowflake AI agents into dbt models, giving every agent the same review and CI process as every table.

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dbt01:46

Why a semantic layer is the difference between a 96% and an 80% accurate AI analyst

Why conversational analytics stalls and the data fundamentals that make it reliable.

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dbt01:43

With great context comes great autonomy

AI agents need governed context, not just more data, to be trusted.

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dbt01:26

Why dbt Labs thinks AI agents will finally make the semantic layer stick

Why AI agents can make semantic layers stick, if teams can solve the trust problem.

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SiliconANGLE AI00:48

Cloudera bets portability, not agents, will set it apart in enterprise AI

Enterprises racing toward AI automation are finding that where their models and data run matters as much as what the models can do. Regulatory pressure, rising token costs and fear of lock-in are pushing companies to demand more control over their AI workloads. That demand is shaping how data platform providers pitch their next act. […] The post Cloudera bets portability, not agents, will set it apart in enterprise AI appeared first on SiliconANGLE.

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dbt00:15

How KOHO built a Claude-powered self-serve analytics tool on years of dbt governance

KOHO explains why AI self-serve analytics needs a strong data culture and a governed dbt foundation first.

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2026-10-27

SiliconANGLE AI12:55

Cisco Partner Summit: Five insights that will define the channel in the AI era

For most of its 30-year history, Cisco Partner Summit has focused on how partners sell Cisco Systems Inc. technology. This year’s event in Vancouver was about something different: how partners make money in a world where the transaction is no longer the main event. Cisco entered the event with tremendous momentum, as its stock was […] The post Cisco Partner Summit: Five insights that will define the channel in the AI era appeared first on SiliconANGLE.

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dbt06:27

How Data Culture measured its way from zero trust to a shippable AI analytics agent

Data Culture built a 3-step evaluation framework that took one AI analytics deployment from 0% accuracy to 94.7%.

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dbt06:14

What Okta learned governing context for AI agents at scale

Okta rebuilt how it governs context for AI agents, using dbt as the single source of truth.

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dbt06:07

Inside dbt Wizard, the AI agent built to show its work

dbt Wizard's designer and engineering lead show how the agent validates its own work before code ever reaches production.

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dbt05:58

dbt v2 lands: faster parsing, one shared adapter layer, and a docs experience that skips the giant manifest.json

dbt v2 bundles adapters, speeds up parsing, and replaces manifest.json with smaller, queryable files for people and AI.

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