I often find myself wondering, in this world of artificial intelligence (AI), can every task be automated?
Will we ever reach a stage where there will be no human requirement in workflow processes? How must business operations cope with this changing workflow requirement?
While the AI is taking on more crucial tasks, it only uses what is available in the form of data, predicts possible outcomes, and takes decisions – creativity is something that AI lacks. The creativity of designing a workflow for AI is a base requirement that will always demand human intervention. This is where it becomes crucial for organizations to build a workflow that has the perfect blend of AI tools and the human workforce.
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But how does a business combine AI and the human workforce? How do we make sure that humans avoid slowing down the AI’s speed and instead focus on the operations structure, which is best suited for both?
It is believed that every operation and end-to-end process works on one basic rule – there is an input, and consequently, there is an output. This input could be in the form of data, or efforts taken to convert the data into information, or simply to monitor the process. It is, thus, safe to collectively call the input an investment of time and resources, whereas the output can be the analyzed data, any sort of product, monetary business, etc., which can be summarized as being the result of the investment.
Therefore, it is clear that the input is directly proportional to the output.
Similarly, the efforts taken and the resources involved in operations have a direct impact on the outcome of the project/process. The more efficient the work, the better the quality of the output.
Redundant and non-scalable activities tend to utilize more resources to deliver the required results. One might reach the desired results, but in the process, end up utilizing more resources than necessary and investing more time and energy than ideally required.
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However, when workflows are designed, planned, optimized, and implemented efficiently, the efforts remain sustainable, and the results exceed expectations. It allows for flexibility, which in turn gives more scope for innovation and transformation of not only the project/process but also the individuals involved. The business process grows and evolves and can be remodelled to a better version each time, making it flexible and scalable at the same time.
Conclusion
A stabilized workflow and optimum results can be achieved only if the Wings of Operations – Efficiency and Quality – have the right blend of human and AI workforce. Finding the optimum mix of these factors across both workforces becomes a core deciding factor in how quickly an organization will succeed.
SG Analytics, recognized by the Financial Times as one of APAC's fastest-growing firms, is a prominent insights and analytics company specializing in data-centric research and contextual analytics. Operating globally across the US, UK, Poland, Switzerland, and India, we expertly guide data from inception to transform it into invaluable insights using our knowledge-driven ecosystem, results-focused solutions, and advanced technology platform. Our distinguished clientele, including Fortune 500 giants, attests to our mastery of harnessing data with purpose, merging content and context to overcome business challenges. With our Brand Promise of "Life's Possible," we consistently deliver enduring value, ensuring the utmost client delight.
A leading enterprise in Data Solutions, SG Analytics focuses on integrating a data-driven decision framework and offers in-depth domain knowledge of the underlying data with expertise in technology, data analytics, and automation. Contact us today to make critical data-driven decisions, prompting accelerated business expansion and breakthrough performance.
About SG Analytics
SG Analytics is an industry-leading global insights and analytics firm providing data-centric research and contextual analytics services to its clients, including Fortune 500 companies, across BFSI, Technology, Media & Entertainment, and Healthcare sectors. Established in 2007, SG Analytics is a Great Place to Work® (GPTW) certified company and has a team of over 1100 employees and has presence across the U.S.A, the U.K., Switzerland, Canada, and India.
Apart from being recognized by reputed firms such as Analytics India Magazine, Everest Group, and ISG, SG Analytics has been recently awarded as the top ESG consultancy of the year 2022 and Idea Awards 2023 by Entrepreneur India in the “Best Use of Data” category.
