Search for tag: "ibm cloud pak for data"

ESG: IBM Watson Studio on IBM Cloud Pak for Data

ESG recently tested IBM Watson Studio on IBM Cloud Pak for Data and found that the entire process from initial setup of the model experiment, through testing and verification, to production…

From  CorpMkt-EiC-JY on September 22nd, 2021

The Elements of AI (part 5): Netezza on IBM Cloud Pak for Data

IBM Cloud Pak for Data helps you rapidly analyze petabytes of data to derive actionable insights for analytics and AI. Learn more at: https://www.ibm.com/analytics/data-fabric

From  CorpMkt-EiC-JY on September 22nd, 2021

インテリジェント・データ・ファブリックによるデータ・ライフサイクルの自動化

こちらのデモで、IBM Cloud Pak for Data が、AI のライフサイクル全体を通してデータ・セキュリティーとプライバシーの自動化をどのように支援するかをご覧ください。 詳細はこちら: https://www.ibm.com/jp-ja/products/cloud-pak-for-data

From  060001F8B7 060001F8B7 on September 16th, 2021

データ・ファブリックでできること

IBM Cloud Pak for Dataの一部であるデータ・ファブリックの重要性をご紹介します 詳細はこちら:https://www.ibm.com/jp-ja/analytics/data-fabric

From  270002PBSY 270002PBSY on September 14th, 2021

IBM Open Data for Industries for Cloud Pak for Data Demo 3: Extending Cloud Pak for Data Services to drive your OSDU Data Strategy

This Open Data for Industries Demo focuses on the services within Cloud Pak for Data to illustrate to a client if they extend the Cloud Pak for Data services what they can accomplish in building,…

From  2700074XKQ 2700074XKQ on September 13th, 2021

The Elements of AI (part 4): AI governance on IBM Cloud Pak for Data

AI governance manages and monitors the AI activities of an organization, and your business can potentially face severe fines — such as 4% of annual revenue — without it. Stay compliant…

From  CorpMkt-EiC-JY on September 9th, 2021

The Elements of AI (part 3): ModelOps on IBM Cloud Pak for Data

Nearly 50% of #AI models never make it from pilot to production. By adopting a developer mindset, data scientists can use #ModelOps to scale AI. See how with IBM Cloud Pak for Data. Learn more

From  CorpMkt-EiC-JY on September 9th, 2021

[데모 영상] IBM Cloud Pak for Data로 데이터 프라이버시 및 보안 자동화

이 데모 영상을 통해 IBM Cloud Pak for Data가 어떻게 전체 AI 라이프사이클에 걸쳐 데이터 보안과 프라이버시를 자동화하도록 지원하는지 알아보십시오.

From  550009VBGX 550009VBGX on September 8th, 2021

[데모 영상]차세대 데이터 및 AI 플랫폼

본 데모 영상은 AutoSQL, AutoCatalog, AutoPrivacy, AutoAI와 같은 자동화 기능을 갖춘 지능형 데이터 패브릭을 통해 IBM Cloud Pak for Data가 필요한 모든 곳에서 올바른 데이터를 적시에 적합한 사람에게 연결하는 방법에 대해 안내합니다.

From  550009VBGX 550009VBGX on September 7th, 2021

IBM Cloud Pak for Data로 지능적인 결과 예측 및 자동화

데이터 및 AI 통합 플랫폼인 IBM Cloud Pak for Data가 어떻게 신뢰할 수 있는 AI를 통해 지능적으로 결과를 예측하고 자동화하도록 지원하는지 알아보십시오.

From  550009VBGX 550009VBGX on September 7th, 2021

ING 的 Ferd Scheepers 分享了他在混合云环境中使用 Data Fabric 的愿景

选自 Ferd Scheeper 的两次 Think 讲演的 90 秒音频图。这段将通过库存、图形和呼叫来强化。

From  50UQ6M3JSN 50UQ6M3JSN on September 3rd, 2021

Prévoir et automatiser intelligemment les résultats avec IBM Cloud Pak for Data

Découvrez comment une plateforme intégrée de données et d'IA, telle qu'IBM Cloud Pak for Data, peut aider vos équipes à prévoir et…

From  550000WD1Y 550000WD1Y on August 31st, 2021

利用 IBM Cloud Pak for Data 智能预测和自动化结果

挖掘集成的数据和 AI 平台(如 IBM Cloud Pak for Data)如何帮助您的团队通过值得信赖的 AI 智能地预测和自动化结果。了解平台如何通过自动化的 DataOps、数据隐私和安全性、AI 监管、ModelOps 等为团队赋能https://www.ibm.com/analytics/common/smartpapers/ai-trust-transparency/。

From  50UQ6M3JSN 50UQ6M3JSN on August 30th, 2021

演示:用 IBM Cloud Pak for Data 实现数据隐私和安全性的自动化

观看演示,了解 IBM Cloud Pak for Data 如何在 AI 的整个生命周期中帮助您自动执行数据安全和隐私了解平台如何通过可靠的Data Fabric为混合多云提供一个普遍的隐私架构.免费试用 ibm.biz/dataplatformtrial 或访问 https://www.ibm.com/cn-zh/products/cloud-pak-for-data

From  50UQ6M3JSN 50UQ6M3JSN on August 30th, 2021

Data fabric in IBM Cloud Pak for Data

Cloud Pak for Data is IBM’s unified data and AI platform. With data fabric, you can connect, understand, secure, and deliver data regardless of where it lives.

From  3100011N1Y 3100011N1Y on August 24th, 2021

IBM and Cloudera Partnership-Journey to Hybrid Cloud and AI

Learn how IBM and Cloudera can help you connect your data lifecycle and accelerate your journey to hybrid cloud and AI.

From  2700074XKQ 2700074XKQ on August 24th, 2021