CIO
NOVEMBER 26, 2024
About two-thirds of CEOs say they’re concerned their IT tools are out-of-date or close to the end of their lives, according to Kyndryl’s survey of 3,200 business and IT executives. But in conflict with CEO fears, 90% of IT leaders are confident their IT infrastructure is best in class.
CIO
JANUARY 30, 2025
But for many, simply providing the necessary infrastructure for these projects is the first challenge but it does not have to be. Another problem is that the adoption of automation in infrastructure is not at the level required. Already, leading organizations are seeing significant benefits from the use of AI.
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Palo Alto Networks
JANUARY 17, 2025
If you manage transportation systems, you face fragmented tools and siloed approaches among government agencies, private operators and vendors. Modern transportation networks must address three pivotal security questions: Do you have comprehensive visibility into devices on your ITS network to safeguard critical infrastructure?
Palo Alto Networks
OCTOBER 30, 2024
To that end, any framework for securing AI systems should encourage organizations to: Discover, Classify and Govern AI Applications – Implementing processes and/or adopting tools to identify all AI-powered applications that are running within an organization's infrastructure gives security professionals different abilities.
Advertiser: Data Robot
Our report, The Business Value of MLOps by Thomas Davenport, highlights some of the most impactful benefits of MLOps tools and processes for different types of organizations. How to determine the benefits of an MLOps infrastructure. It is based on interviews with MLOps user companies and several MLOps experts.
CIO
OCTOBER 29, 2024
Rather than view this situation as a hindrance, it can be framed as an opportunity to reassess the value of existing tools, with an eye toward potentially squeezing more value out of them prior to modernizing them. A first step, Rasmussen says, is ensuring that existing tools are delivering maximum value.
CIO
OCTOBER 24, 2024
Threat actors have their eyes set on AI-powered cybersecurity tools that gather information across data sets, which can include confidential information. And while the cyber risks introduced by AI can be countered by incorporating AI within security tools, doing so can be resource-intensive.
Advertiser: Data Robot
What are the core elements of an MLOps infrastructure? How can MLOps tools deliver trusted, scalable, and secure infrastructure for machine learning projects? Download this comprehensive guide to learn: What is MLOps? Why do AI-driven organizations need it?
Speaker: speakers from Verizon, Snowflake, Affinity Federal Credit Union, EverQuote, and AtScale
In this webinar you will learn about: Making data accessible to everyone in your organization with their favorite tools. Avoiding common analytics infrastructure and data architecture challenges. Driving a self-service analytics culture with a semantic layer. Using predictive/prescriptive analytics, given the available data.
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