MITRE’s new System of Trust risk model manager and a community engagement group introduces another great resource for software supply chain security and risk management.
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By using AI frameworks, companies can ensure transparency, compliance, and more, which will lead to building customer trust in AI systems.
AI is transforming businesses, industries, and the way we work, and executives should take note, but it’s still early days, says Tony Uphoff.
Universal access to healthcare information – including patient records – is still one of the healthcare industry’s biggest pain points. There are important advances taking place, however.
With artificial intelligence heading toward mainstream status, it’s time for CFOs to develop a game plan for implementing this powerful technology in their organizations.
Synthetic data can be incredibly valuable with AI and machine learning but it must be used only when it’s necessary and with caution.
NetApp exec Ronen Schwartz weighs in on new multi-cloud complexity research and how customers are challenged to deal with cybersecurity, ROI, and more.
With rising pressure on the global healthcare industry, healthcare organizations are turning to hyperautomation technologies to provide better health outcomes.
Databricks has rolled out its own AI model intended as a simpler alternative to ChatGPT, with an aim to help customers build chatbots.
With the AI-driven Intelligent Data Management Cloud, Informatica is helping customers optimize data management and drive digital transformation.
With the recent announcement of ChatGPT plugins, many companies are developing ways to optimize Generative AI capabilities.
To better prioritize IT projects, break them down into four categories: strategic, regulatory/mandatory, break fix, and other, says Wayne Sadin.
Generative AI offers many opportunities to enable businesses, but also comes with security implications. Learn the impact on the future of work and how Generative AI is redefining the customer experience.
As sustainability becomes a key focus for businesses and critical infrastructure, organizations must also prioritize cybersecurity and secure data standards to safeguard emerging technologies like IoT and OT devices from evolving cyber threats.
New data from cybersecurity provider Chainguard captures what’s working, and the relative difficultly levels, of various software supply chain practices.
“Optimizing your tech environment doesn’t have to break the bank,” says Janet Schijns, who provides tips to save money and stay ahead of the competition.
Además de OpenAI, Kieron Allen describe los avances de C3 AI como un disruptor en la informática de aplicaciones empresariales con IA.
Kroger employed Informatica tools to help it manage its supply chain better. The result: less out-of-stock inventory, cutting down on missed sales.
Businesses implementing AI models must have an intentional focus on ethical AI, especially at the data and modeling layers, to prevent the impacts of bias.
Tony Uphoff shares lessons he’s gleaned from three decades of serving in leadership positions.