Businesses in this day and age are using technology as a paradigm for how they do business, which, in turn, has dramatically changed the way corporations think and operate. To capitalize upon the many benefits of technology, organizations are using more sophisticated enterprise digital solutions and consulting with organizations specializing in Artificial Intelligence (AI) Consulting to build a digital infrastructure that can handle the increase in volume and complexities of data available within organizations.
The purpose of these types of consulting services is to not only incorporate new trends into an organization but also to develop a scalable digital infrastructure that is capable of evolving as the market changes.
Enterprise digital solutions allow companies to connect their technology through a network of departments, platforms, and processes to create a unified ecosystem with seamless integration between business units, leading to faster and better decision-making.
Many of the enterprise digital solutions that companies implement to support their businesses now require them to implement digital transformations of their older, legacy systems; migrate their data and workloads to cloud-based services; automate business processes; and modernize and/or upgrade their existing enterprise applications.
Enterprise digital solutions evaluate the current state of an organization's technology in order to create new systems that align with the organization's long-term goals. Digital enterprise solutions focus on optimizing workflows, achieving system-to-system interconnection, and providing access to data across the organization. Organizations have clear insight into their operational performance when technologically connected systems share data with each other effectively.
AI consulting firms assist businesses in transforming raw data into actionable intelligence. Their focus is to analyze potential places [in the company's operations] where AI can provide a return on investment through either predictive analytics, intelligent automation, or decision support systems.
The first step in the AI consulting process is to gain an understanding of the company's business context. Evaluation of an organization's ability to collect, manage, and work with data (data-readiness) is done prior to developing a machine learning model—which utilizes lineage and features from datasets—for making strategic decisions or recommendations.
In addition to the development and deployment of machine learning models, many AI consulting firms offer ongoing model optimization as a service as well. Whether or not an organization is ready/mature enough to be successful at implementing a machine learning project/model, they will support them until they have successfully implemented it and have the opportunity to expand or execute at a larger scale.
AI excels due to its ability to work with existing enterprise systems by embedding itself into the technologies already in place rather than being a stand-alone solution in a different workflow. When this occurs, critical insights emerge at the right time so operational decisions can be made, future possibilities can be forecasted, and potential risks can be identified early.
Some of the ways in which businesses can leverage AI include demand forecasting, analyzing customer behavior, optimizing processes, and creating intelligent reports. The focus will continue to be on usability to ensure that both technical and non-technical teams have access to the insights created from AI.
Digital transformation should be viewed as a continual process, not a one-time event. The business enterprise will continue to evolve; new data will train better AI models. Thoughtswin Systems provides enterprise digital solutions in conjunction with an AI consultancy; key principles include providing thoughtful design, responsible usage of artificial intelligence, and using adaptable technologies to create digital ecosystems that facilitate sustainable growth and allow organizations to make informed decisions.