A proprietary methodology for leveraging data and AI for efficient problem-solving across the entire organisation. And now a book.
AI is shaping a world where everyone needs all the data, all the time.
People at the core of organisations are asking for high-quality insights and self-service capabilities so they can make better strategic decisions. At the same time, teams such as customer service, operations, and sales — those that execute at the edge of the organisation — are using increasingly sophisticated tools to automate complex decision-making in real time.
Having worked on the data and AI capabilities of hundreds of organisations over the past five years, we have come to realise that making data flow freely between the core and the edge is the key to getting more value from it. To enable this, over time, we developed a methodology that we now call ‘Data & AI: Fast and Slow’.
Inspired by Daniel Kahneman’s book Thinking, Fast and Slow, our methodology is designed to improve the integration between the fast and the slow thinking of the organisational brain, the former focusing on intelligent decision-making in real time, and the latter on deep, analytical, collaborative decisions.
Importantly, the methodology we propose also provides a robust foundation for deploying AI across the organisation, now and in the future.
In the business world, data acts as the raw material for decision-making, much like sensory input feeds into human thought processes. And just like our brains, businesses need to excel at harnessing both kinds of data – fast and slow — to maximise their potential.
Data & AI: Fast and Slow is a technical framework for integrating the fast and the slow thinking of the organisational brain — the deep, analytical decisions of the executive team and the intelligent, real-time decision-making at the periphery.
The methodology also extends to the dual capabilities of AI as an enabler of both fast and slow data, finding a balance between reacting to real-time contexts and preparing for future growth.
Get the book to understand what fast data and slow data are, how to integrate them, and how to leverage them together as a springboard for AI across the business.
chapters 1-8
available now
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Data & AI: Fast and Slow not only provides a clear explanation of analytical frameworks but also highlights the principles of using data within structured reasoning.
The book offers valuable insights for data professionals and business leaders, and enables a holistic approach to building data strategies that ensure data is utilized effectively, focusing on the right things, in the right way, and at the right time.
I believe Data & AI: Fast and Slow, much like Thinking, Fast and Slow, embodies profound wisdom that serves as a guiding light for shaping data and AI approaches during this critical transition period in the evolution of AI.
— Nam Nguyen, Data scientist and AI entrepreneur at Antler
Infinite Lambda is a global data and AI consultancy and academy.
We help global organisations build cutting-edge data capabilities across the value chain — from fast data use cases, such as intelligent applications, ML and GenAI, to the more deliberate and collaborative slow data use cases, such as BI, analytics and data science.
Strategising, building and mentoring with scalability in mind, we help clients adopt innovation and stay agile in highly competitive business landscapes.
Having delivered over 250 data and AI projects and more than 70 migrations to the Snowflake AI Data Cloud, we have developed proprietary methodologies and tools that help our clients fully benefit from our wealth of expertise.