Management was optimistic when XYZ, Inc., embarked on a journey to migrate its extensive legacy systems to the cloud using cutting-edge generative AI tools. Partnering with a leading AI solutions vendor promised efficiency and reduced costs. However,...
Serverless was a big deal for a hot minute, but now it seems old-fashioned, even though its basic elements, agility and scalability, are still relevant.
Cloud-based generative AI systems that use too many resources turn out to be too complex and expensive. Here’s how you can avoid this.
In the ramp-up for AI, companies feel pressured to choose cloud or on-premises. Let’s learn from past mistakes and realize the solution is rarely one size fits all.
Rapid cloud adoption has left many enterprises needing help with their technology infrastructure. These simple rules will keep the pain to a minimum.
There is widespread fear in the securities and finance sectors that using generative AI will force companies to rely on giant cloud companies.
CISOs are still hampered by bad assumptions and outdated approaches. They should be involved in decisions from day 1 to address unique business needs.
AI agents offer flexibility and autonomy as they plan and complete complex tasks that traditionally require human involvement.
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