Managing the AI revolution: How companies can adjust and succeed in the automation age
By Manas Godha, Growth and Solutions Consultant, Advaiya
While it might be wise to be cautious of the hype that the recent developments in generative AI has brought, AI is truly reshaping various businesses, transforming workflows, and challenging traditional business models. Organisations that can effectively harness the power of Al will gain a competitive edge, while those that lag behind risk obsolescence.
Deep learning, neural networks, and machine learning are powerful technologies behind automation in the industrial world today. Organisations can achieve this through appropriate incorporation and embedding of Natural Language Processing (NLP), computer vision, and predictive analytics into day-to-day operations that have to be optimised to bring transformations in business value chains.
The key advantage of using AI is its ability to increase efficiency and help organisations build up to their business goals in a more streamlined and fast manner. The most obvious benefit of AI is its ability to automate repetitive, time-consuming tasks, but there is much more that is offered. Through automation, organisations can reduce the resources involved in any particular task, also at the same time reducing errors and inconsistencies in the work that happens. AI can also enhance decision-making by analysing historical data and real-time information to identify trends and patterns. This can help organisations make more informed decisions at scale, reduce risks, and improve outcomes. For example, utilizing predictive analytics to forecast demand, optimise supply chains, and identify potential fraud.
For any organisation, it has always been an impossible task to look at large sets of data before making decisions, think recruitment. Organisations like Microsoft and Google get thousands of applications, it is simply impractical for a recruiter to look at each application before deciding so they hire more and more recruiters and even then, they can’t go through each application. This is exactly where AI can come into the picture, instead of having 100 recruiters to scan applications, this can now be done by just a few as AI can parse and analyze all of the thousands of applications to recommend the best applicants. AI can help businesses make important decisions efficiently and better.
Understandably, organisations are a bit wary of adopting AI in the entirety of their organisations. This can be a complex, time-intensive, and expensive process, they are worried about disruptions it may cause to existing processes that are already working fine. This is where to successfully integrate AI, organisations can focus on identifying specific tasks and processes that can be automated or enhanced with AI. Organisations can also adopt an approach to AI implementation where they look into smaller, less complex implementations and then gradually scale as they gain experience and confidence in the systems. This would allow organisations to refine their AI strategies and minimise the risks associated with larger technology transformations.
Frameworks like Advaiya’s AI-powered peripheral automation is a promising approach that enables organisations to embed AI incrementally and iteratively. By focusing on peripheral tasks and processes for any core business data entity, organisations can introduce AI into their systems without disrupting core operations, and then progressively scale deeper. This allows for rapid development and refinement of AI-powered applications, enabling organisations to innovate, experiment, and evolve their systems with agility. Such a process would also minimize disruption, which is a big worry with organisations trying to bring in newer technologies.
Through a thoughtful and strategic approach to AI adoption, organisations can get the benefits of automation and AI, while at the same time minimising the risks. By leveraging AI to streamline existing processes and empower their workforce, organisations can position themselves for long-term success in the digital age.
