Discover the reality behind the AI myth

Artificial intelligence is the latest revolution in data insights everyone is talking about as organisations are increasingly looking to generate business value from their data.  Only 4%* of organisations have successfully deployed AI, while most of the businesses are in the early phases of AI adoption facing unexpected challenges including access to data, scalability restrictions, a legacy IT infrastructure and a lack of specialist skills.
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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

Don’t ‘WannaCry’ No More: How to Shield Your IT Infrastructure from Ransomware

Netwrix

As we can see from the global WannaCry ransomware attack, the risk of being hit by this type of malware is not a matter of “if”; it’s a matter of “when,” According to SonicWall research, ransomware attacks spiked 16,700% in just one year, from 4 million in 2015 to staggering 638 million in 2016. The good news is that there are ways to spot ransomware at an early stage and stop it from spreading through your environment.
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Enabling Data Centers that Make Sense

Data centers are an essential part of the modern economy. From banking to telecoms to gaming, data centers are vital for most industries. But there’s a problem. For a data center to make sense, it must be continuously improved in terms of economics, performance, efficiency, and flexibility. As the world becomes increasingly reliant on a digital economy, data centers must innovate to meet the needs of tomorrow.
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Azure Data Center: Understanding the Real Costs & ROI

Confused (or curious) on how to determine the true cost of moving your data center workloads to the cloud? In this on-demand event, Microsoft and Interlink Cloud Advisors walk you through our key methodology for evaluating which workloads you should move, their dependencies, and how to price out workloads for Azure.
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What is the Best Hyper-Converged Infrastructure Solution for You?

Gigaom

Last week I had a speech at a small workshop in Italy around hyper-convergence. It was a group of more than 20 end users, mid-to-large sized companies that were evaluating if hyper-converged infrastructure (HCI) makes sense for their projects. In fact, only a few of them are already utilizing hyper-convergence, and some have special use cases for which solutions they have evaluated so far are too expensive or not flexible enough for their needs. Edge computing, for example, is pretty challenging for most HCI solutions. That was an interesting discussion and I’m trying to take advantage of it for the slide deck I’m preparing for a webinar I’ll host next week here on GigaOm: “Hyper-Converged Infrastructure: Maximizing TCO and ROI” I’m focusing the presentation on a few aspects that I consider fundamental to choose the right HCI solution: One-size-fits-all does not exist when it comes to IT infrastructures. It is important to understand your real needs and proceed accordingly.
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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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