Changing Business Landscape to Overcome Global Challenges
Published on : Monday 14-12-2020
Digital transformation empowers the business with agile digital at scale to deliver unprecedented levels of performance, says Jasbir Singh.
Leveraging on innovative AI solutions, the smart industry governs business transformation to meet the futurist global challenges. A business leader having clear comprehension of the current system and wisdom to enhance the company’s performance prepares a long term business strategy at the beginning of the annual planning workshop. Team members study in depth to overcome the current bottlenecks in the present system, by adopting technological advancement and struggle to achieve continuous moving targets by breaking industrial barriers. Using emerging technologies in new business expansion and their introduction in existing systems helps by enabling core modernisation, enhancing capabilities and broadening sustainable output. Before implementation of new systems leaders endeavour to achieve a desired operating model by good planning, offline simulation by using advanced technological innovation to accomplish operational excellence and enhanced commercial return.
Next generation technological advancement by introduction of AI applications in every process of manufacturing, supply chain, data collection, computation and regulation infrastructure management in the wider digital framework shall bring extensive reformation in operating culture. Advanced digital capabilities of systems in every facility offer more affordable and reliable production and logistics/supply chain to accommodate customer requirements/demand with more features in every product. AI-powered core production/delivery facilities help to prioritise the execution in demand without failing the delivery timeline of every customer.
Marketing dynamics propelling towards a digitalised future
Sophisticated digital platforms and innovative solutions are crucial in every operation of the work process to the greater success in the ‘survival of the fittest’ reality of modern-day businesses. Each component in the AI supported system is capable of digitalised communication to disclose its health, performance, remaining life, designed to provide the expected results by maintaining stable operations even under highly adverse circumstances.
It is a company’s compulsion to develop innovative business models and lean processes by integrating with AI applications in machines and systems, adopting IIoT, block chain, Open Data and modern digital technologies. The experts associated in the development process reconstitute the digitalisation and design intelligent work process using innovative tools, by breaking the current industrial barriers. System integration and enhancing its flexibility with technologies gives a boost by advanced intelligence platforms embodied with technological innovation that is necessary and important in this ever changing global environment. Each digital transformation demands a tailored approach, even in similar businesses by using a holistic approach of adopting equitable strategy in processes digitalisation, skills digitalisation and machine learning.
Organisations who are prompted to innovate ratify the right methodology, tools and practices in structured format to compete in the domestic and international market. Process understanding; technical skills, digital platforms such as automation, IIoT, AI, robotic, 3D, MR and moreover skills in present operations help companies drive it to the next level. Numerous technical skills, soft skills and demand gap motivate leaders to contemplate the progressive way of product delivery. Implementation of modern cutting-edge technology/know-how, state-of-the-art set-up, adopting best practices, and quality compliance are the fundamentals to face market realities and business improvement. Section leaders of every function will have to create a strong methodology to support the organisation in its roadmap towards digital transformation and innovation. A sound methodology, right mix of competencies and leading technologies can produce excellent transforming results. The challenges a company faces during such technological improvement plans are the budgets and right skill sets to endure with the change, while transforming and redesigning the way business is presently done; also related to modern computerised support, self-aligning/tuning to produce the customer oriented expected result. Enterprises that constantly innovate on digital platforms to improve productivity and consistency in product quality are also constantly refining their complex digital platform to streamline the development lifecycle.
Organisations automate enterprise-wide systems with the end goal of improving productivity, employee time management and eliminating human errors, thereby increasing profitability even during tough times like happened during Covid-19 pandemic of the past few months. Organisations those who harness the power of AI, smart automation, quality consistency by digitalisation to promote business can retain customers. Integrated machine learning solutions help to build data for autonomous machine operation. An inbuilt digital system automatically can also process the customer’s valuable feedback data quickly and transform it into design configuration in the machine to produce acceptable results.
Digital transformation to business transformation
Introduction of digital transformation in conventional business line for futuristic digitised environment to face the fluctuating demand shall steer right production and connect supply chain ecosystems to maintain sustainability. Chat robots can provide human-like responses to the majority of queries and provide conversational feedback to customers. Using this system companies can engage more customers 24x7 without increasing human overheads.
Data scientists by use of perceptive machine learning algorithms capture images and tag them, then employ those for character recognition to identify objects, images, faces, and characters. By this technique companies shall be able to interpret unstructured image data effortlessly and leverage it into their business. Digital transformation bolsters enterprises to derive intelligent insights and put the gathered data to strive for their business success.
Intelligent applications for optimal processes
AI based intelligent applications devise solutions to meet the technological challenges in business arising from continuously evolving digital landscape. Enterprises can keep producing by sustainable innovation based on large data, analytics and structured storage for fast retrieval. Sophisticated digital platforms and intelligent technological solutions are imperative for the success of result oriented modern-day businesses. Also essential for business are intelligent solutions by the team responsible for integration of sub-applications across domains to enable faster and effective outcomes.
Building innovative AI-based digital systems makes organisations more productive through digital transformation, generates a wide range of opportunities and encourages entrepreneurs to develop a stronger entrepreneurship ecosystem. In digital transformation, employees of an organisation find space for applying their machine knowledge and creativity to drive innovation, invent applications and build a new relationship between new systems and other peer systems.
New concepts are continuously being evolved to optimise the regular operations, which have always been disrupting traditional industrial practices by innovative technologies and cutting edge solutions. Digital revolution poses serious challenges to regular businesses practices and provides unique opportunities to others who are prepared early to adapt leading-edge industrial solutions and standards. Eventually all the companies in time have to transform themselves in order to survive. Requirement is always for accelerating the need for innovative digital transformation by preparing the best implementation strategy, right organisational structure and quick release to stay ahead of the market.
The degree of change related to advancement of digital technologies for automation, to change in workflow of assembly/production lines during the industrial revolution optimises the operation. What differs from industry to industry is the speed and urgency of these changes is influencing the outcome/productivity of organisations. Accepting new digital technologies is not merely the process improvement and positive business outcome but also sustainability in business. Essentially with such changes a company tries to understand the effects on consumer behaviour; consumer liking pattern, customer first-hand experience and their impact. The rationalism behind developing new products or services uncovers new ways to target larger customer base. Subsequently, this can alter existing industry structures and the competitive landscape to create new sources of revenue.
Intelligent and smart work flow
An intelligent workflow is a new technique adapted by improving automation, applying AI in most functions, use of algorithm based analytics, and improving skills to fundamentally change for improved output. It minimises cross connection by increased process automation. Implementing intelligent workflows is about unlocking bottlenecks and lengthy processes that haven’t been considered before. By combining the advanced emerging technologies in the present system and stubborn digital infrastructures, process and workflow are seamlessly designed to implement, which can do things flawlessly that couldn’t have been possible a few years ago.
Digitalisation provides foundation for realignment in existing business or investment in new advance technology, redefine business models, and processes to accelerate value for customers and employees, which can effectively contend in the vibrant digital economy of the world. In other words, a company needs customer-centric vision for the growing future of enterprise and subsequently realignment of the business model. This would require redeveloping the product and service portfolio; reorient the processes, re-consider the productive/open technologies, reskilling the workforce to accept cultural change progressive end goals.
Emphasising on the seamless and dependable relationship with existing customers is paramount during transformation for better understanding and development of reliable models. The employees of the company must begin to look at digitalisation holistically and transform the organisation by applying progressive thinking across everything they do. They should learn to win, serve better and retain customers they have. They must team-up to operate internal processes with the right skills to improve business services effortlessly in a new digital environment. Business leaders always committed to improve their agility and focus on delivery excellence, with a clear understanding of their business strategy.
Finally, much faster deployments are always leading to a greater speed to harness benefits. Entrepreneurs can get machine learning to increase production many times faster than that could have been achieved in the past – and get it to scale. Digital transformation empowers the business with agile digital at scale to deliver unprecedented levels of performance and customer delight.
Jasbir Singh is an Automation Expert with experience in Factory Automation and Line Automation in a large production house. He is an Implementation Strategist, Business Coach and a regular writer on automation, AI, robotics, digital technology, network communication, IIoT, wireless communication, blockchain and use of advanced digital technology. Jasbir has a long association with industry to improve factory automation in production lines for productivity improvement in India and overseas by advising and also transforming into a digital platform by use of AI. He may be reached by mail at: [email protected]
