The 2023 ISG Provider Lens Intelligent Automation Platforms and Products study for the U.S. has shown a major trend in the business sector’s attitude to data handling and automation. To improve their data analysis skills, American businesses are moving more and more toward platforms that include machine learning (ML) and artificial intelligence (AI), especially those that provide generative AI (Gen AI).
This development would underscore the need of using the strongest AI models - to get accurate outcomes as well as a more thorough comprehension of the nuances of data and business procedures. Once seen to be a difficult task, the aggregation of data from many sources is today recognized as a means of gaining fresh perspectives, stated ISG. As stressed by ISG, this calls for a strategic approach from all levels of the company as well as collaboration with knowledgeable suppliers.
As the automation technologies continue to advance quickly, Chip Wagner, CEO of ISG Automation, observes that “U.S. enterprises, with their relatively mature automation strategies, are exceptionally positioned to harness these evolving capabilities. Many domains, including real-time response, data integration from many sources, and increased accessibility for a larger user base, are changing as a result of this automation breakthrough.”
Large Datasets, Variety of Sources
In this growth of automation, the emergence of conversational AI systems would be a significant advance. Voice, text, and image integration among other communication modalities is becoming more and more possible with these platforms, stated ISG. Advanced applications like chatbots that can react to medical pictures are made possible by their adaptability. While low-code/no-code features democratize access to these technologies, the emergence of Gen AI is further refining these interactions, making them more customized and natural.
The field of intelligent document processing (IDP) is another that is expanding significantly. These days, IDP is essential for obtaining data from a greater variety of sources, including old records. Insurance claims and medical records are examples of unstructured data that may be more effectively interpreted and summarized using modern IDP systems. Additionally, to comply with strict data protection laws, these platforms are integrating cloud-based document management and compliance capabilities.
Another area that is changing is the field of process mining and discovery. Businesses are embracing systems that use deep learning algorithms to monitor processes in real time, which would be a big departure from the old-fashioned retrospective analysis. Large datasets are analyzed by these platforms to find hidden patterns and use Gen AI to recommend process changes that help firms adjust to changing market circumstances.
Partner and worldwide leader at ISG Provider Lens Research, Jan Erik Aase, comments on this development, saying, “Process discovery is no more a static capacity. Companies may now manage their operations more pro-actively since platforms adapt to changing demands.”
The research also explores other recent developments in intelligent automation. This includes a rising need for platforms that can learn from previous mistakes and an increased emphasis on interoperability with key systems like as CRM and ERP.
To sum up, this ISG research presents a picture of a business environment that is changing quickly, and AI and ML are crucial elements of a strategic approach to data and process management, not simply tools. A more responsive, streamlined, and networked corporate environment is being ushered in by this trend.
