Companies are turning to technology, particularly evolving their strategies to implement Robotic Process Automation (RPA), with a vision of automating repetitive tasks, a crucial aspect of the modern business landscape. Implementing a structured approach like the Automation Factory Model helps enterprises automate operations with improved productivity, better quality, and lower expenses. Automation Evangelist, who advocates for automation, plays a key role in connecting the
Data is the new currency in the ever-changing business landscape. A 2024 Statista report found that approximately 402.74 million terabytes of data are generated each day—and the number keeps growing. Businesses worldwide struggle to store and transform this staggering amount of data received from diverse sources into actionable insights. However, data-driven companies have a distinct competitive edge than their competitors. Their customer acquisition and
SAP S/4HANA is an ERP business suite built on the SAP HANA in-memory database that enables businesses to process transactions and analyze data with immediate efficiency. It helps customers undergo digital transformation by assisting companies in improving existing business processes or developing new ones to meet modern business demands. S/4HANA is the digital core of SAP’s strategy, and SAP refers to this approach as
The automation landscape is evolving rapidly. This transformative phase has further accelerated with the pairing of RPA and AI/ GenAI. Thanks to this powerful technological fusion, businesses can effortlessly streamline routine task automation and achieve high productivity and efficiency. Harvard Business Review mentions that over 90% of employees feel that automation solutions have amplified their productivity. 90% trust automation to complete a larger number
The sales order process is one of the most critical workflows in businesses involved in goods. Do it right, and you will see enhanced customer experience and reduced costs. Do it wrong, and the opposite tends to apply. Efficient sales order processing, or sales order management, is necessary for businesses to keep up with fast-paced demand and build customer credibility. From the stage of
Slow data is a business hazard. Fortunately, more organizations are shifting to AI solutions to mitigate this menace. Yet, 150 executives working at leading North American and European companies highlighted in a McKinsey survey reveal that many organizations are still struggling to figure out AI implementation at scale. Approximately 24% have piloted use cases, whereas 63% are still in the exploratory stage. Several companies
Data lies at the core of digital transformation. Yet 91% of respondents in a survey reported that poor data quality affects their operations. Another 2023 Adobe Acrobat survey posits that 48% of people experience struggle to retrieve information from relevant documents. It leads to challenges like error-prone manual data entry, arduous document review, poor scalability, among others. Read on to learn about the challenges
The demand for automation continues to skyrocket in 2024. Furthermore, considering the demand for agile workflow and reduced time-to-market deliverables in the digitized era, the surge of cognitive automation is expected to continue for the long term. A 2023 Forrester survey states that more than 56% of businesses strive for process improvement. 71% of organizations agree that end-to-end automation is a crucial driver of
In today’s rapidly evolving technological landscape, the integration of Artificial Intelligence (AI) into automation processes is transforming the way businesses operate. Recent data from Automation Anywhere underscores the impact of this shift: 78% of enterprises report significant productivity gains due to automation. With 72% of organizations planning investments in AI/ML for the upcoming year and 40% already deploying Generative AI (GenAI) solutions, it’s clear
The wave of GenAI has rapidly transformed the healthcare industry. Healthcare organizations worldwide are increasingly adopting Generative AI not simply as a tool but as a powerful aid to collect information and knowledge, leading to the development of best healthcare practices. The trend is reflected in a December 2023 Gartner survey. It shows that 84% of healthcare provider executives strongly feel that LLMs (large
