With so much artificial intelligence (AI) in the headlines, it is no surprise that businesses are scrambling to exploit this exciting and transformative technology. Clearly, those who are the first to deliver business-relevant AI will gain significant advantage. 
However, there is a problem! Our perception of AI success in society is primarily based on our experiences with consumer applications from the big web companies. The adoption of AI in the enterprise has been slow due to various challenges. Business applications address far more complex problems and the data needed to address them is less plentiful. There is also the critical need for alignment of AI with relevant business processes. In addition, the use of AI requires new engineering practices for application maintenance and trust. 
So, how do you deliver working AI applications in the enterprise? 
Beyond Algorithms: Delivering AI for Business answers this question. Written by three engineers with decades of experience in AI (and all the scars that come with that), this book explains what it takes to define, manage, engineer, and deliver end-to-end AI applications that work. This book presents: Core conceptual differences between AI and traditional business applications A new methodology that helps to prioritise AI projects and manage risks Practical case studies and examples with a focus on business impact and solution delivery Technical Deep Dives and Thought Experiments designed to challenge your brain and destroy your weekends

Beyond Algorithms

Business & Money

Luke, James

Santhanam, Padmanabhan

Porter,David

Economics

Chapman and Hall/CRC

<ul> <li>Focuses on the definition, engineering, and delivery of AI solutions as opposed to AI itself</li> <li>Reader will still gain a strong understanding of AI, but through the perspective of delivering real solutions</li> <li>Explores the core AI issues that impact the success of an overall solution including i. realities of dealing with data, ii. impact of AI accuracy on the ability of the solution to meet business objectives, iii. challenges in managing the quality of machine learning models</li> <li>Includes real world examples of enterprise scale solutions</li> <li>Provides a series of (optional) technical deep dives and thought experiments.</li> </ul>

Beyond Algorithms: Delivering AI for Business

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