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
