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Best practices for healthcare delivery organizations to safeguard sensitive data
Healthcare delivery organizations should follow a zero trust approach to cybersecurity to safeguard patient data, intellectual property and more.
The Challenges of Securely Digitizing Manufacturing Operations
Manufacturers are integrating technology at a rapid pace to drive profitability and efficiency. Leaders need to be aware of the significant cybersecurity risks of digitized factories and work across the organization to secure operational technology.
How to Beat the Heat: Innovative Solutions for Data Center Efficiency and Sustainability
Learn about emerging solutions that can increase data center efficiency and sustainability without affecting performance.
Beware of Complacency: Maintaining Security Focus is Essential
As cyber threats become more complex, even organizations with mature cyber programs must continue to promote a culture of security and keep an eye on tool sprawl if they hope to stay ahead.
Three Takeaways After Exploring the Capabilities of Smaller, Open-Source LLMs
Our AI experts tested six open-source large language models (LLMs) of different sizes on a diverse set of questions and discovered some interesting insights and takeaways.
Sound Data Strategy Paramount to Generative AI
Data management is an organizational effort that leads to direct and tangible business benefit and creating efficiencies for IT.
Generative AI: Risks, Rewards and a Framework for Utilization
Identifying existing and potential use cases will enable faster return on investment with generative AI and help determine your ownership model moving forward.
Manage Generative AI Before It Manages You
When it comes to AI, governance and risk management should remain top priorities as IT leaders are being inundated with requests for how best to implement the technology.
Cloud Optimization is Key to Business Success
At its heart, cloud optimization is a financial management discipline that enables organizations to maximize business value by helping IT, engineering, finance and business teams collaborate on data-driven spending decisions.