Tag: AI

Generative AI demands a pragmatic strategy to identify value, embrace agility, scale intelligently, experiment rapidly, and prioritize responsible deployment.

When facing a game-changing technology like generative AI, experimenting is a great way to learn what it can do and how to use it. And indeed, we at AWS see plenty of companies doing precisely that, becoming more sophisticated and able to ask more informed questions about where the technology is heading and what it […]

The emergence of generative AI has brought about transformative possibilities and the potential to benefit how we work, live, and interact with the world. However, it is crucial to recognize the responsibility that comes with such powerful technology. When I speak to executives today, there is a lot of enthusiasm and excitement to get started […]

Organizations need a powerful infrastructure to realize the full value of their data. The purpose of this infrastructure is to organize data, ensure its quality, manage metadata and create a central catalog where the organization’s data can be queried. This infrastructure, called the data foundation, enables organizations to have clean, organized, and easily accessible data […]

The headlines read “Artificial Intelligence (AI) will completely transform your business.” But does the hype match the reality? We have been seeing these exclamations for two decades, but where are the examples? Where are the success stories? Is AI really a game changer, and does it actually apply to my business? Every ten years it […]

By Annina Neumann, AI/ML Strategist and Gregor Hohpe, Enterprise Strategist at AWS We routinely underestimate the effects that new technology has in the long run while also overestimating its impact in the short term. What has become known as Amara’s Law, in honor of the late researcher and scientist Roy Amara, is playing out now […]

One of the challenges many enterprise leaders face is how to experiment and quickly create business value from machine learning without establishing large teams with specialized skillsets and infrastructure. As a CTO, I found that having access to Amazon Web Service’s pre-trained AI Services enabled our developers, even those with no prior machine leaning experience, […]