Esker, a global cloud platform and a leader in AI-driven process automation solutions for Finance, Procurement and Customer Service functions,announced that Brother International Singapore Pte Ltd, a leading brand for consumer and industrial sewing machines, printing, and computer electronics, is automating the full procure-to-pay (P2P) cycle, including supplier management, contract management, procurement, accounts payable and expense management processes. As an electronics and electrical equipment manufacturer, Brother International Singapore Pte Ltd understood the need for optimised processes and streamlined workflows. Manual handling of various documents resulted in long payment processing times, lack of visibility over spend, and inefficient communications between requestors, finance, and suppliers. To overcome these challenges, Brother International Singapore Pte Ltd turned to Esker's AI-driven solutions, with which manual processes are eliminated, errors reduced, and visibility into spend increased. By achieving greater efficiency for its business processes, the company can focus on its core business functions and customer experience.

Esker, a global cloud platform and leader in AI-driven process automation solutions for finance and customer service functions, announced that Leviton Manufacturing Co., Inc. ("Leviton"), America's most widely used electrical wiring device brand, is automating its order management process with Esker. "In terms of scalability as a cloud solution, its integration with Oracle and the AI capabilities built into the system, Esker was identified as a clear match for our priorities moving forward" Leviton offers a full portfolio of electrical devices including smart switches and dimmers, outlets, fiber and copper cabling systems, lighting products and more. To expand its growth and continue to pursue opportunities in new markets, Leviton initiated a review of its internal business operations for modernization opportunities. This facilitated the company to replace its legacy ERP with Oracle E-Business Suite (EBS) ERP solution; however, its digital transformation efforts were just beginning. Most recently, Leviton determined a need to update its order management process as well -- with Esker's Order Management solution proving to be a good fit.

Research guided by a plant pathologist in Penn State's College of Agricultural Sciences suggests that machine-learning algorithms that are programmed to recognize changing weather patterns could show producers and agricultural managers how to increase soybean and corn yields in the United States. The approach could prove valuable in addressing climate change realities that have presented challenges in growing enough food for a rising global population, noted Paul Esker, associate professor of epidemiology and field crop pathology. "Soybean and corn are among the most valuable crops in terms of food supply and economic output in the U.S. agricultural sector," said Esker, who pointed to U.S. Department of Agriculture statistics that place corn as the most widely produced crop in the U.S., with soybean following close behind. Not only are these crops vital to food security in the U.S. and beyond, but their combined total value to the nation's economy is more than $100 billion. While Esker acknowledges that is an impressive figure, he points out that many scientists predict that that by 2050, the world must feed 9 billion people, so current outputs must increase.

All these great minds of the computing world warned against the dangers of Artificial Intelligence (AI), and they have a point. The implications of any new technology need to be considered carefully -- especially ones that, according to Stephen Hawking, could make humanity extinct.¹ In addition to envisioning new ways to make it truly useful, societal pressures that come with any new technological advancement must be addressed. Apart from the sci-fi scenario that evil robots will take over the Earth, the biggest fear that people express about AI and its related technologies is that their jobs will be replaced by it. This is not totally unfounded, as a 2019 McKinsey Global Institute Report estimates that that "about half of all the activities people are paid to do in the world's workforce could potentially be automated by adapting currently demonstrated technologies."²

For more than 30 years, companies around the world have trusted Birlasoft to find, implement and manage the technologies they need to keep business running smoothly. Many new and long-standing customers have turned to Birlasoft to support digital transformation efforts. "Birlasoft's expertise and reputation within the industry make them an ideal partner for Esker, especially during a time when so many businesses are embracing greater digital transformation to empower a remote workforce," said Steve Smith, U.S. Chief Operating Officer, Esker. "Their global presence will help us deliver increased visibility and bottom-line savings for more businesses through automation of the full cash conversion cycle." Birlasoft will serve as a premiere implementation partner for Esker's P2P and O2C solutions.

Eric is responsible for the development of strategic products, services and solutions. He joined Esker in 2002 as Director of Marketing Communications, and in 2005, extended his responsibilities to include product management. Many businesses have yet to understand the full potential of machine learning and cognitive computing for back office processes. The benefits range far beyond simply increased productivity and faster supply chains. Today's advanced algorithms have the computational power and speed to gather, analyze and manage vast repositories of data.

Eric is responsible for the development of strategic products, services and solutions. He joined Esker in 2002 as Director of Marketing Communications, and in 2005, extended his responsibilities to include product management. Many businesses have yet to understand the full potential of machine learning and cognitive computing for back office processes. The benefits range far beyond simply increased productivity and faster supply chains. Today's advanced algorithms have the computational power and speed to gather, analyze and manage vast repositories of data.

Eric is responsible for the development of strategic products, services and solutions. He joined Esker in 2002 as Director of Marketing Communications, and in 2005, extended his responsibilities to include product management. Many businesses have yet to understand the full potential of machine learning and cognitive computing for back office processes. The benefits range far beyond simply increased productivity and faster supply chains. Today's advanced algorithms have the computational power and speed to gather, analyze and manage vast repositories of data.