In this breakthrough technologically mended world, people have advanced themselves and their lives by easifying their day to day chores. They have found ways and means to tackle all the problems arising in their life cycle. These tasks are controlled and run by powerful algorithms written by the people. A self-controlled system is a cognitive process that is necessary for regulating dependent/interdependent process behaviour in order to achieve specific goals. The self-controlled algorithm is still under experimental phase where small to large scale companies are trying their level best to showcase case studies and a working prototype. And as an example we may consider self-controlled vehicle, reliable communication network, energy cost saving, adaptive learning and many more.
The self-controlled algorithm is a revolutionary initiative by an individual and an organization with a purpose to simplify and automate the human day to day job and several industrial processes. The purpose is also to bring awareness to the human being in terms of generating right knowledge base and making the execution approach aligned with an objective. At Nescode, we are working on a model to explore the possibilities of how self-controlled algorithm can simplify and automate the day-to-day jobs, industrial process and improving learning experience by adaptive learning model. Our consulting approach to the education industry, the service industry and manufacturing industry are emphasizing on how self-controlled algorithm can uplift the social and organization status.
Small to large scale industries always address the some of the common challenges on a real-time basis like - what your business needs to stay competitive, leading-edge products and services, better customer data and more talent in the workplace. And companies are investing significantly to get the right answer for all these questions either manually or by fetching from a large amount of data through a self-controlled algorithm which we call as Machine learning. Technically speaking self-controlled algorithm comes under much broader term Artificial Intelligence and implementation of this is even more interesting for a developer to end users who are going to consume it. But before we talk about implementation, we need to understand the trends that become increasingly pivotal for businesses in every industry. To be more precise, Self-controlled algorithm is becoming competitive weapons.
When we take an example of e-commerce industry joint Amazon’s recommendation engine or search engine industry leader Google’s PageRank; it would be bit easy for us to understand the spectrum of transformative business model and competitive differentiation that algorithm has made possible not from the business model point of view but also from end-users point of views.
At Nescode, we believe, the smart and self-controlled algorithm should be encapsulated and packaged with intellectual property, knowledge and insight in a reusable form. At the same time, an organization should always remember great power comes with great responsibilities thus an organization must not misinterpret the customer data or power of technologies in a unilateral way.
Whenever we are talking about the implementation of artificial intelligence in an industry like manufacturing, healthcare, services, supply-chain or education, we mean creating a business and human value by applying algorithms to data. And we can achieve it only conceiving it beyond digital endeavour or reality. It is easy to assume that algorithmic business and automation go hand-in-hand but the most algorithm that are in wide use today directly or implicitly operate under the direct involvement of human who is in control of the analytical process or task outcome. When we talk about autonomous business, there are three building blocks or functional roles:
Nescode encourages business leaders to aggressively pursue the technical capabilities necessary to drive algorithmic and autonomous business initiatives within their ecosystem.
In the manufacturing industry, before we talk about the self-controlled algorithm, we need to understand the underlying unit process and process control. The unit process is a conversion of raw materials, usually supplied in simple or shapeless forms, into finished products with specific shape, structure, and properties that fulfil given requirements. And process control provides the means to direct a process so that it produces the desired results. It is complementary to the role played by the process equipment itself which furnishes the physical means to accomplish the process. The traditional approach to control the job in manufacturing industry involves calibration of the equipment, monitoring of primary process parameters whereas when we talk about self-controlled algorithm implementation in the manufacturing industry, we mean the majority of process control and monitoring should be done automatically.
The recent development of an Internet of Things(IoT) framework and the emergence of sensing technology have created a unified information grid that tightly connects systems and human together, which further makes the whole ecosystem easy for self-controlled algorithm implementation.
When we are talking about self-controlled algorithm implementation in the services industry, we mean meeting control strategies, processes, workflow, data input and insights with an objective without the constant interference of human being. The service industry is moreover like a management job and automating tasks. An objective of development and deployment of algorithmic management for service industry is to create new employment opportunities, better and cheaper consumer services, transparency and fairness in parts of the labour market that are characterised by inefficiency and many other things.
Nescode worked with several restaurant and hospitality industry players and to give a use case on how we can leverage the algorithm for personalised monthly “service level assessments” on their average “time to accept orders, “travel time to restaurant”, “travel time to customer”, “time to customer”, “late orders” and unassigned orders etc. for this-this industry.
Supply chain industry is highly dynamic and there are several variable factors are involved where it is almost impossible to predict the outcomes. But by leveraging the self-controlled algorithm, we can make it possible to discover patterns by analysing the data and quickly pinpoint the most influential factors to a supply chain network success. The algorithm iteratively queries data with many constraint-based modelling to find the core set of factors with the greatest predictive accuracy. Key factors in the supply chain industry are like inventory levels, supplier quality, demand forecasting, procure-to-pay, order-to-cash, transportation management, reducing freight cost etc.
Implementation of the self-controlled algorithm in the education industry is mandatory to uplift the social structure and status because of various reasons. And this implementation we call it adaptive learning where it helps the teachers and students. By leveraging a smart algorithm, we can understand the strengths, weakness and thinking of students to generate personalized reports and insights. By an implementation, teachers can figure out at each stage that at which point the students are not able to grasp the topic too by the gesture recognition, facial recognition and image processing.
The self-controlled algorithm is a breakthrough invention for social transformation and initiatives by an organization to minimize the cost and maximize the ROI. Smart and self-controlled algorithms are aimed at optimizing the process, operation and workflow. They can save lives, make things easier and conquer chaos. The development and implementation approach should be aligned with solving the problem perspective. In coming days, heavy uses of an algorithm are going to continue and there will be an exponential rise in their influence in coming years.