The AI-Driven Enterprise: Aligning Data Strategy with Business Goals

Enterprises today are in dire need of AI adoption and data management, thanks to increased competitiveness and unprecedented demand for automation. As companies prepare to meet this demand with... Read more »

Tech Foresight: What Industry Leaders Say Will Transform Enterprise IT

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How to choose and configure Windows Server RAID levels

Evaluate your storage on Windows Server to see if it can benefit from RAID’s fault tolerance or performance options. These three RAID levels have different uses and setups. Read more »

The 40 Jobs Most Vulnerable to AI Disruption

AI Job Vulnerability There’s a growing concern that artificial intelligence could replace many jobs, sparking fears about widespread unemployment and economic disruption. This fear of AI as a job... Read more »

What is data in use?

Data in use is data that is currently being updated, processed, erased, accessed or read by a system, application, user or device. Read more »

How to Develop an AI Strategy

There has been a lot of hype around AI in the past few years. But hype doesn’t bring business value – AI strategy does. According to the recent McKinsey... Read more »

LangChain vs LangGraph: Which LLM Framework is Right for You?

It’s no longer just tech giants testing Large Language Models; they’re becoming the engine of everyday apps. From your new virtual assistant to document analysis tools, LLMs are changing... Read more »

Data Governance Strategies for Distributed Workforces

In the digital age, information is incredibly valuable. Hackers can sell everything from passwords to birth dates on the dark web. Although they target some more than others, every... Read more »

How to Choose the Right Cloud Managed Services Provider for Your Business

Did you know choosing the wrong cloud managed services could cripple your business? A devastating ransomware attack hit Danish cloud service providers in 2023. Their customers lost irretrievable data.... Read more »

Rethinking AI Data Partners in the Wake of Meta’s Stake in Scale AI

When working with data labeling platforms, AI companies often share sensitive data strategies and invest significant capital to develop and maintain a skilled annotation workforce. This involves training labelers... Read more »
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