The COVID-19 outbreak has had a serious impact on global commerce. Many workers have been asked to stay home, most of whom aren’t fully equipped to work from home. Supply chains have been disrupted across most markets. Operational disruption and loss of business opportunities has shifted many organizations’ focus to cost control.
Robotic Process Automation (RPA) is a $1B technology industry that is growing at a rate of 63 percent per year. The top three software contenders, UiPath, Automation Anywhere, and Blue Prism each received investments of over $500M from investment funds in 2019. These companies have used those funds to deliver sophisticated technical capabilities to customers, and they are poised to deliver even higher-caliber solutions in 2020.
All three RPA vendors are now delivering four distinct capabilities that customers are demanding:
Successful businesses invest considerable time and resources in determining what their competitors are up to. What are they selling? What strategies and tactics have they implemented? What’s trending? Organizations need data and business intelligence to answer these important questions.
Robotic Process Automation (RPA) is a relatively new tool that offers a more efficient and cost-effective way to gather business intelligence than traditional market research techniques. Let’s take a look at its practical implications.
For decades, pundits and tech journalists have been heralding the rise of intelligent machines and how they will revolutionize the way we live our lives. A big part of that shift involves “intelligent” software that will transform the modern workplace.
From screening and approving loans to managing assets and preventing fraud, machine learning plays a crucial role on many levels in financial institutions. In this article, we’ll explore some ways that using machine learning in finance improves business processes.
Read more: Optimizing ATM cash management using machine learning
Reinsurers face a high level of risk from multiple market forces, including claims leakage, the arrival of new players, poor management of aging recoverables, and inadequate business intelligence capabilities. Implementing the right digital solution is absolutely crucial for minimizing these risks.
US businesses have $1.38 tied up in inventory for every $1 of sales, so it’s no wonder that exploring new initiatives for accurately right-sizing retail inventories is expected to be a top priority for CMOs in 2019. Whether you’re in apparel, footwear, FMCG, home products, or any other retail business, failure to predict quantities and assortments with high precision will take a big bite out of your bottom line.
Microsoft has added many new features to Dynamics 365 for Finance and Operations that will enable you to transform your business faster.
This article discusses how robotic process automation (RPA) is a logical next step in a decades-long tradition of digital automation, and how it is a great way to quickly and effectively accelerate key supply chain functions, including partner onboarding, sales order generation, and order tracking.
Microsoft controls a substantial share of the enterprise software market. While its suite of Dynamics ERP solutions have been around for 25 years, the company is looking to break new ground with Dynamics 365, its cloud-based ERP and CRM platform that rolls most essential business functions into one solution and liberates organizations from the burden of periodically maintaining and upgrading an on-premises software implementation.