Data Governance
The rising investment in artificial intelligence (AI) technologies by healthcare organizations aims to revolutionize clinical workflows, decision support, and research and development (R&D). However, the bedrock of these advancements is effective data governance, an often underappreciated component. Merging AI innovations with healthcare requires
Cybersecurity within the healthcare industry faces significant challenges. The adoption of electronic health records (EHRs), connected medical devices, and cloud-based systems has transformed patient care but also expanded the attack surface for cybercriminals. This expanded exposure necessitates a proactive, comprehensive cybersecurity strategy
In our increasingly digital world, millions of tech devices are discarded every year due to age, obsolescence, or malfunction, raising significant security concerns about the data left on these devices. Disposing of old tech devices without proper handling can leave sensitive data vulnerable to unauthorized access, leading to potential identity
As of 2023, approximately 66 percent of the global population uses the internet, generating data through various activities such as browsing, streaming, driving, and using household devices. On average, each user generates 65 gigabytes of data per day. This massive amount of data, collected and processed by businesses for operations, customer
The generative AI market has experienced an unprecedented surge, growing exponentially within a few short years. This growth is underpinned by the integration of AI capabilities across various sectors, driving operational efficiency and fostering innovation. This explosion in demand has caused the market size to expand dramatically, jumping from