CData Software

183,541 tokens at $0.596 per query. The same federated query across Salesforce, Snowflake, and ServiceNow with a scoped Custom Tool definition: 4,427 tokens at $0.027. bit.ly/4oNDLxo 👉 Architecture is the cost lever, not prompt engineering.

You can have the best AI infrastructure in the world and a perfectly configured Databricks environment. If the pipeline from your on-prem SQL Server or legacy ERP is stale or broken, the whole thing stalls. 🔗 bit.ly/3PV1Mpl

Every control the NSA recommends is an independent engineering problem for teams running their own MCP servers. CData Connect AI builds them in at the platform level. Full breakdown of the advisory and what a secure deployment looks like: bit.ly/4y9Qe2w

The NSA's recommended controls: RBAC at the tool level, audit logging tied to session identity, sandboxed execution, cryptographic message signing, parameter validation, scans for unauthorized MCP servers. None of these are protocol defaults.

MCP has no required authentication. That's a protocol-level design choice. Authentication is left to implementors. Many skip it entirely. The NSA's May 2026 advisory documents what happens next. 👇

「データ活用できない」の正体は、ツールでも戦略でもなく、蓄積を愚直に回し続けられていないことだと思っています。 私は結構ここをAIに助けてもらってます。SFAやCRMの提案をしていたのに、やっぱりデータ入力って苦手なんですよね。 それに、どこの組織でも最初はデータが無いし、データをうまく貯める構造も整っていない。データモデルだって、ビジネスに応じて変わっていく。 卵が先か、鶏が先か、みたいな話が付きないなと。 でも、データを入れる作業そのものをAIに手伝わせれば、インサイトへ辿り着くサイクルは一気に速くなると結構実感してます。 その活用イメージをCopilot #Cowork × #kintone × #CData Connect AI 記事第3弾で書きました。 jp.cdata.com/blog/cowork_ki…

Healthcare has been told to choose: AI-driven efficiency or HIPAA compliance.    CData Connect AI is now HIPAA-compliant.     👉 bit.ly/4aXgWBI  That trade-off no longer applies.

Your AI agent. Enterprise data. No connectors to build, no procurement cycle, no credit card. 👉 bit.ly/4vv1CEE Connect AI Developer Edition is free MCP-native access to Salesforce, Snowflake, Workday, and hundreds more. Working agent in under 10 minutes.

Once the SQL is validated, there's nothing left for an MCP layer to broker. The agent writes a standalone JDBC app and ships it. No agent at runtime, no model in the loop. 🔗 bit.ly/4oJrh9M Build with AI. Ship without it.

Compute happens at the data layer, not in the LLM. WHERE and ORDER BY get pushed to the source API. The model sees the handful of answer rows. Never the 20,000 raw records. No LLM arithmetic mistakes.

AI agents are good at writing SQL. They're bad at learning Salesforce's SOQL, NetSuite's SuiteQL, and the API quirks of every other source they touch. CData CLI removes that problem. A thread on the architecture. 👇

ビジネスシーンでのAI 活用で本当に差がつくのは「読む」ところだけでなく「書く」権限だと思っています。 Copilot #Cowork × #kintone × #CData Connect AI 記事第2弾では、商談記録・タスク管理をkintoneに書き込む実装を解説しました！ 私自身業務での活用を模索する中で感じたのは、コンテキストだけ渡しても、AIは共同で働くことができる"アシスタント"にはならないということです。「コンテキスト」×「権限」の両方を掛け算で渡して初めて、仕事を任せられる存在になる。 そんな実体験をベースに活用方法を書いてみました。 jp.cdata.com/blog/cowork_ki…

Most Salesforce-to-ChatGPT integrations skip inherited permissions entirely. Credentials get hardcoded. Audit trails disappear. Connect AI enforces governance at the connection layer: bit.ly/4ePtm0F — before any query reaches your CRM.

CData Extends Connect AI to HIPAA-Regulated Healthcare • @cdatasoftware • Disaster Recovery Journal drj.com/industry_news/…

CData Extends Connect AI to HIPAA-Regulated Healthcare @cdatasoftware #BigDATAwire #CData ow.ly/2CgA50ZnOmj

Healthcare has been told to choose: AI efficiency or HIPAA compliance. 👉 bit.ly/4aXgWBI CData Connect AI is now HIPAA-compliant. That trade-off is over.