Why Healthcare Firms are in the Middle of a Cyberwarfare
Cybersecurity for the healthcare industry is at risk of security breaches, which may include cyber threats and data breaches. The more medical equipment and healthcare...
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Importance of Data Protection in Cybersecurity
The internet is revolutionizing and influencing people’s daily lives in a never-imagined way. It was once the means of allowing the US military to stay...
NVIDIA Announces NVIDIA Blackwell Platform to Build and Run Real-time GenAIÂ
NVIDIA ushered in a new era of computing with the launch of the NVIDIA Blackwell platform. This new platform allows an organization to run and...
Top 20 AI Cloud Companies to Know in 2024
In the fast-growing tech-driven economy, businesses and organizations constantly consider artificial intelligence (AI) a vital technology. The global cloud AI market size was valued at...
Key Findings from New Relic’s ‘State of the Java Ecosystem Report’
The “2024 State of the Java Ecosystem” report, presented by New Relic, offers an in-depth analysis of the ongoing trends and changes within one of...
What is the Difference Between Data Engineering and Data Management?
Within the domain of Big Data, the roles and functions under data engineering and data management are most of the time mixed up resulting in puzzlement...
Building Security from Scratch: Key Steps in Implementing Zero Trust Architecture
It is well known that Cyber attacks have shattered businesses with devastating losses, trusts, and reputations, and therefore, companies have intrinsic incentive to create a...
Top 10 AWS Services Every Cloud Security Professional Needs
With the increase in businesses migrating to the cloud for vital strategy formulation, extension and competition, companies recognize the requirement for new security concerns. Surprisingly,...
How Cloud Applications are Used for Data Protection
Cloud applications have fundamentally transformed markets and business models beyond their basic definitions. When crafted effectively, these applications deliver user experiences akin to locally installed...
Data Scaling Essentials to Know in 2024 for Data Scientists
Data scaling is a crucial step in preprocessing for machine learning algorithms. It ensures features have similar scales, facilitating faster and more accurate model training....