Table of Content
TABLE OF CONTENTS
Many of us have been experiencing the AI phenomenon in the past few years. From Agentic AI to practical pivots, knowledge commoditization & automation are fueling all walks of life. While all corporations are racing to replace routines, data-heavy entry level tasks in customer service, data entry and context preparation (Yes, AI helped me come up with this blog title), far too often we are finding business are adapting the same strategy in operational saving as core business case for AI adaptation. One can imagine in the not-too-distant future, AI will be able to replace even more expert knowledge domains and tools like autonomous AI agents will eventually provide the expert intelligences at scale (Law, Medicine, R&D?). While OPEX (Operation Expense) reduction is a good first step, then comes the question what is my competitive edge when everyone has access to sophisticated generative and reasoning models?
Abundance of Intelligence
We are rapidly moving from knowing the solution to knowing the problem era. The real advantage with the right Data & AI strategy won’t be solved by smarter models alone. The core issue lies in giving the models access to the right enterprise assets such as:
- Internal master data
- Transaction history
- Decision patterns
Agent’s Context to deliver Value
The concept of Context Engineering is gaining ground as context is the new master data to steer AI models to avoid context chaos. Context engineering involves designing the systems that fetch relevant data from various sources and present it to the Large Language Model (LLM) within its limited context window.
Not all big techs are focusing their strategy on data center & LLM build outs alone. Apple for example is leaning toward a partnership strategy “Everyone will have powerful AI, no one will truly own it, focus on the experience & business value”. Furthermore, Apple is controlling the on-device experience and data aggregation to ensure they can provide a platform to optimize the experience.
Data & AI strategy
Choosing the right modernization strategy is imperative to reaping the benefit from AI. Assess your readiness to tackle business challenges to ensure transformation value are delivered to meet your needs.