Believe it or not, data to train #AImodels increasingly comes from other AI models in the form of synthetic data, which translates to cost reductions, but also poses some risk. Important analysis:

To scale growth, maximize efficiency and drive innovation, it's essential to unify the increasingly disparate data spread across on-prem, private and public cloud environments. Your guide to advancing the crucial objective:

Challenging the conventional wisdom that #AImodels must be powered by massive volumes of data, smaller, more efficient models that enable fast predictions and require less computational power are gaining traction.

💡Without a #cloudnative backup architecture, data resilience is practically unattainable. Important analysis:

From improving operations & customer experiences to driving revenue growth, AI is playing a pivotal role in transforming #telecom. Analysis ⬇️

AI can predict workload patterns and dynamically allocate resources such as CPU, memory, and storage to prevent resource abuse, ensuring optimal performance and reducing costs. More on using AI to optimize #CloudOps ⬇️

By automating traditionally manual, time-consuming tasks that are prone to error, AI enhances #cloudsecurity-with vulnerability management and threat response being two core areas where AI can significantly improve efficiency and accuracy.

AI's transformative promise isn't limited to business-schools can reap tremendous benefits from implementing AI tech, including empowering teachers to quickly create lesson plans, grade papers and increase quality time teaching and interacting with students. #TeachwithAI

With a staggering 95% of businesses admitting encountering #AIimplementation roadblocks, it's clear that IT decision makers need help with effective AI adoption. Here are some useful tips to facilitate your AI journey: