AlphaZetta is delighted to celebrate the publication of Redefining Value Where People and AI Meet, written by Sundara Raman and Dr. Jayanthi Raman.
As organisations increase their investment in artificial intelligence and machine learning, leaders face an increasingly important question: how should they measure and manage the value created by human and artificial intelligence?
The book examines why traditional financial measures can overlook the value embedded in data, analytics, organisational knowledge and people. It brings together perspectives from business, cognitive psychology, data science and governance, and considers when organisations should automate, when they should augment people, and when human judgement should remain central.
A colleague and friend across three organisations
“This is more than a book announcement. Sundara has been a friend, colleague and former team member across Teradata, SAS and AlphaZetta. I have seen firsthand how he combines deep expertise in data, analytics and AI with a practical focus on the decisions, adoption and business outcomes that make that expertise valuable.”
— Alec Gardner, Managing Partner, AlphaZetta ANZ
That focus has become even more important as organisations move beyond experimenting with AI and begin deciding where it should operate, how it should work with people, and how its contribution should be measured.
Connecting intelligence to business value
The book’s central subject resonates strongly with AlphaZetta’s own work.
Technology creates capability, but organisations realise value only when data, analytics and AI are connected to trusted decisions, operating processes and people. Measuring that value requires more than tracking technology expenditure or counting completed models. It requires an understanding of what changes in the organisation, how decisions improve and how human and artificial intelligence complement one another.
This is also why ontologies and knowledge graphs are attracting renewed attention: they make business concepts, relationships and domain knowledge explicit, helping AI interpret data in context rather than treating it as disconnected information.
Whether readers are assessing a new AI investment, considering the balance between automation and human judgement, or looking for better ways to articulate and measure the value of analytics, Redefining Value Where People and AI Meet makes a timely contribution to the discussion.
We warmly congratulate Sundara and Dr. Jayanthi on the publication of the book and look forward to sharing more of their thinking with the AlphaZetta community.
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