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Artificial Intelligence (AI) or Intelligence Augmentation (IA) – What’s the difference?

June 10. 2019
Artificial Intelligence in IT operations

Artificial Intelligence in IT operations (AIOps) is rapidly pacing up with digital transformation. Over the years, there has been a paradigm shift of enterprise application and IT infrastructure. With a mindset to enhance flexibility and agility of business processes, organizations are readily adopting cloud platforms to provision their on-premise software. Implementation of technologies like AIOps and hybrid environment has facilitated organizations to gauge the operational challenges and reduced their operational costs considerably. It helps enterprises in:

When Artificial Intelligence (AI) technology was first introduced, it was hailed as the next big advancement moving us closer to achieving human superiority. Just as we became comfortable with this idea a new one cropped up about AI replacing humans leading to irrational fears.

At this juncture, AI proponents put forth the concept of Intelligence Augmentation (IA) that kept the humans in the loop while still maintaining control over the machines. Interchange the letters of AI and IA offers a completely different perspective on AI. Intelligence Augmentation (IA) – another name for cognitive intelligence – is gaining fast precedence among business leaders.


AI is built to replace human intervention and interactions involving repetitive tasks, thereby reducing human errors and operating costs, and improve efficiency and productivity. Intelligence augmentation on the other hand is built to assist humans in their cognitive tasks and complement in the decision-making process.

IA or cognitive computing is a more comprehensive branch as it can “reason” over all structured and unstructured data and deal with “grey areas” to help make judgements and decisions.

Consider the example of a target-driven salesperson. She must close deals based on various information inputs like emails, CRM, quotas, etc. AI can help her to assimilate all these disparate information sources and organize it for easy analysis. But what happens next? How will she gain insights for closing the deal?

That’s where AI work ends, and IA comes into the picture. IA offers her potential actions that can be taken to convert a lead like offering discounts, providing additional incentives, customer support etc. It assists her in completing the task.

This is one example where both AI and IA complement each other and ultimately help humans in the long run.

Businesses are recognising this important fact and reaching out to expert service providers in this field like ZIF to integrate it in their business processes.


The AIOps based TechOps platform, ZIF is part of the current AI and IA landscape that tries to bridge the gap between man and machine to provide adequate insights from the information overload that businesses face.

The platform can aggregate and correlate ITIL data across multi-cloud and on-premise infrastructures to provide real time insights leading to faster incident remediation.

Our approach also involves cognitive computing that includes a comprehensive set of capabilities based on emerging technologies like language, speech and vision technologies; ML, reasoning and decision technologies; Brain-Computer Interface (BCI), which connects the brain with an external computing device to augment or repair human cognition; distributed and high-performance computing; and new computing architectures and devices.

Integrating these varied technologies requires technical expertise, resources and adequate planning that ZIF provide through their comprehensive AI led digital solutions. They provide solutions for a wide range of practical problems, boost productivity and foster new discoveries across many industries.

Reach out to ZIF Artificial intelligence and Intelligence Augmentation experts at

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