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Start Your AI Initiative: Building Blocks for Infrastructure

The existing “Do-It-Yourself AI” solutions involve enterprises to procure, integrate, test and continuously perform maintenance of hardware and (open source) software - all by themselves. In the process, they lose valuable months to jumpstart their AI initiatives and underutilized their resources during this crucial phase. In this session, you will get the best-practices for the design and deployment of AI infrastructure, and learn how to build an AI platform that will deliver faster-time-to-insights and enable your data scientists to be more productive.
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Spotlight

데이터 AI 트렌드 보고서

2023년 데이터 AI 트렌드 보고서를 통해 Google Cloud의 인사이트와 IDC 연구 결과 내용 중 선도 기업이 최신 정보와 경쟁력을 유지하기 위해 활용하고 있는 데이터 AI의 5가지 주요 트렌드에 대해 알아보세요. Data Cloud가 지향하는 방향과 그 이유 최신 데이터 생태계가 설계되는 방식 AI가 오늘날의 데이터 전략에 적합한 경우 비즈니스 인텔리전스(BI) 투자로 더 나은 결과를 얻기 위해 필요한 것 오늘날 가장 큰 도전과제인 데이터 보안 문제와 기업이 이를 해결하는 방법

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Cloud attacks are running rampant, and with widespread cloud adoption, many organizations are struggling to keep up. Traditional security solutions offer little help as you move to the cloud, and cloud service provides only secure their own services, even though most customers are adopting a hybrid or multi-cloud approach. Giving customers a solid view of their adversaries.
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Workloads and applications of every kind are moving to the cloud. It’s almost become trendy. The big question is why move? Why disrupt a functioning ecosystem and introduce potential risk? The question is even more relevant when it comes to custom applications built on WebLogic. WebLogic has been enabling Java application solutions for years so contemplating a move to the cloud might seem like a low priority. There are compelling reasons for moving WebLogic and associated applications to the cloud. Attend this 60-minute webcast and learn:
Watch Now
More On-Demand Webinars

Spotlight

데이터 AI 트렌드 보고서

2023년 데이터 AI 트렌드 보고서를 통해 Google Cloud의 인사이트와 IDC 연구 결과 내용 중 선도 기업이 최신 정보와 경쟁력을 유지하기 위해 활용하고 있는 데이터 AI의 5가지 주요 트렌드에 대해 알아보세요. Data Cloud가 지향하는 방향과 그 이유 최신 데이터 생태계가 설계되는 방식 AI가 오늘날의 데이터 전략에 적합한 경우 비즈니스 인텔리전스(BI) 투자로 더 나은 결과를 얻기 위해 필요한 것 오늘날 가장 큰 도전과제인 데이터 보안 문제와 기업이 이를 해결하는 방법

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데이터 AI 트렌드 보고서

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State of DevOps Report

whitePaper