Process mining, once a niche tool for academic researchers, is having a breakout year in 2020. As digital transformation accelerates, enterprise leaders are urgently seeking visibility into their actual business processes—and process mining has stepped into the spotlight as a secret weapon for operational excellence.
Robotic Process Automation (RPA) has quickly risen from niche technology to a mainstream business tool in 2020. As organizations face mounting pressure to increase efficiency and reduce costs, RPA offers a practical, proven path to automate routine processes—even in uncertain times.
In 2020, organizations worldwide found themselves navigating a tidal wave of digital documents with unprecedented urgency. With the global shift to remote work and increased pressure for business efficiency, a new automation hero made its mark: Intelligent Document Processing (IDP).
In 2020, with organizations navigating digital transformation at an unprecedented pace, workflow automation is emerging as a game-changer. By orchestrating tasks, approvals, and communications across teams and systems, workflow automation promises to reduce bottlenecks, improve accuracy, and free employees to focus on higher-value work.
In 2020, Robotic Process Automation (RPA) stands at the forefront of digital transformation conversations. As businesses worldwide grapple with disruption and remote work, RPA emerges as a strategic lever—enabling organizations to automate repetitive tasks, reduce costs, and boost productivity without overhauling existing systems.
Intelligent Document Processing (IDP) is emerging as one of the hottest trends in business process automation in 2020. As organizations grapple with mountains of unstructured data—think invoices, contracts, emails, and reports—AI-powered IDP holds the promise of extracting valuable information faster, more accurately, and at scale.
In 2020, digital transformation accelerated as organizations searched for efficient ways to automate routine tasks and optimize business processes. While traditional automation often required technical expertise or expensive custom development, a new wave of "no-code" automation tools empowered business users and teams to take charge of their own workflows, unlocking agility and productivity gains across industries.