Автор: Justin Neroda, Steve Escaravage, Aaron Peters
Издательство: O’Reilly Media, Inc.
Год: 2021-08-16
Страниц: 103
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB
The mountains of data generated on a daily basis has vastly outstripped growth in the supply of technical analysts. How can your organization provide value from these data volumes with your existing analytical capabilities and staff? With this report, business leaders looking to move from small AI pilot projects to an enterprise-wide deployment will explore an AI operations engineering framework known as AIOps.
When deployed effectively, Artificial Intelligence (AI) provides the necessary force multiplier, allowing organizations to generate insights not possible even a few years ago. AI provides organizations with the ability to process vast amounts of data by training algorithms to automate current processes, generate new insights, and then present these insights so that decision makers can act.
Rapid gains in computing power, inexpensive storage solutions for large volumes of data, and new research in algorithm development make AI increasingly more accessible. These three keys—processing power, data, and algorithms—bring us to a new reality, one where AI can now meet or exceed human capability across a variety of diverse tasks.
We will introduce an artificial intelligence operations (AIOps) engineering framework to assist you in overcoming these post-pilot challenges through responsibly developing AI tools, the important role of data management, team roles and responsibilities, and large-scale implementation. The insights and strategies we share come from the lessons we’ve learned working at Booz Allen Hamilton on a portfolio of over 120 AI projects across the federal government.
By the end of the report, you’ll learn how to unlock the incredible potential that lies within your organization’s exponentially growing data, deriving insights not available just a few years ago. To extract the most benefit from this report, you should understand AI’s fundamentals, its purpose, and what challenges can be solved when deploying AI-based solutions. If you’d like a quick refresher or a deeper introduction to AI, our AI primer is a great place to start.
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