The Big Rethink: What Changes When the Value of Your Data Explodes?

Digital transformation efforts - and the arrival of machine learning and other analytic tools that can extract new value from corporate data - are forcing companies to reevaluate information governance. Risk and efficiency are still key components of the conversation, but the climbing value of data, and stiff new fines for misuse or lax care of that data, is changing the fundamental calculus.
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Spotlight

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

OTHER ON-DEMAND WEBINARS

Hybrid Cloud: The Benefits of NOT Going All-In

While many enterprises are moving their entire computing infrastructure to public cloud providers, many also find advantages for keeping certain workloads and data in-house, under their own control; thus, the need for a hybrid cloud architecture, which integrates “on-prem” infrastructure with public cloud services. Many of the enterprises who prefer to keep their infrastructure on-prem, in their own data centers, are doing so using network carriers and colocation service providers to interconnect with their preferred public cloud service provider(s).
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Enabling Technologies for Smart Internet of Things

Telit

As the wireless industry moves toward 5G, mobile solution providers are gravitating toward distributed architectures, pushing computing tasks normally processed in a centralized location or the cloud to the edge of the information path. IoT Edge technology applies that same principle, relying on connected devices to move various functionalities closer to the points of the network where data is generated.
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Start Your AI Initiative: Building Blocks for Infrastructure

Pure Storage

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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Common Cloud Data Controls & Protection products - and How to Deploy them Today

Solving data protection challenges in the cloud Protect and propel your business today. Would you share your bank account information on social media? Or give your house keys to a stranger? We didn’t think so either – protect your company’s data as much as your own personal data. Watch the discussion between Google Cloud Securit
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Spotlight

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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