The enterprise is investing heavily into multiple forms of AI, but interest in natural language processing (NLP) has gained momentum in the past few months. This is due in large part to the rise of chatbots and intelligent assistants in call centers, help desks, kiosks, and other customer support applications, but these are hardly the only ways to apply NLP. Back-office functions ranging from software development and data analytics to systems management and risk assessment become far more efficient and effective when humans can simply speak their desires rather than type them in or click their way through endless menus. Getting to that point won't happen overnight, however. While NLP has taken great strides recently in terms of accuracy and efficacy, it still has some way to go before it becomes a valued member of the team. Still, over the past year, the enterprise has displayed an increased willingness to open its checkbook a little wider to fund various NLP projects.

In his book "Homo Deus," Yuval Noah Harari contends that "organizations are algorithms" – processing information through various divisions, departments, and hierarchies to deliver decisions, with their employees and teams working as information-processing agents. As businesses leverage AI and digital to transform into intelligent enterprises it is important that they also reexamine their structures and operating models. The reason for this is that an enterprise's "intelligence quotient" depends on its ability to optimally organize and use its information-processing agents (people). Additionally, the infusion of AI will transform how individuals and teams work, process information, and make decisions. Human knowledge gathered over decades is being encapsulated into numerous mathematical algorithms leading to predictive, prescriptive, image recognition, language-understanding, and even content-generating applications.

Your company consists of systems. On a global level, they make the difference between success and failure. If COVID-19 has shown us one thing, it is that companies that were flexible in the way they did business and agile in adjusting their systems were the ones to survive and thrive. Innovation and flexibility made a difference. SAP, as a company, is one of the enablers of innovative companies.

If achieving the intelligent enterprise were easy, everyone would have done it by now. The road to creating, or re-creating, a business optimized by AI to take advantage of machine-assisted decision-making at all levels of the organization is a long one. Two key questions are, how far along are we on the path toward achieving this vision of future productivity, and are there ways organizations can improve their odds of success? Companies are now directing billions of dollars globally each year toward AI development, yet more often than not, they're frustrated by the lack of progress. In fact, only 1 in 10 managers who responded to a recent global survey conducted by MIT SMR and BCG could point to tangible returns.

As companies look to increase agility, flexibility and efficiency in response to the impact of the COVID-19 pandemic, many are turning to automation and artificial intelligence to create an intelligent enterprise. Our recent research highlights how organizations are responding to this rapid transformation to redesign roles and processes while creating new, innovative business models. You'll get details in our Automation Guide.

By now most organizations understand that the AI gap is widening; those who had already begun to use intelligent technologies to advance digitization initiatives, such as new business model development and strategic automation, have been able to meet and rise above many of the more urgent challenges arising from the COVID-19 pandemic. Furthermore, these resilient companies were able to withstand the challenges presented by the pandemic, while others who are still on the threshold of digital transformation are at even greater risk of falling behind their competitors. Companies need to become an intelligent business now and bring in artificial intelligence (AI) capabilities to help refresh business models, strategies, and processes so they can be future-ready and able to survive disruption. Organizations are looking to AI technologies to inject intelligence throughout their core capabilities, processes, and operations to achieve more robust business resilience and transform insights into action. AI-enabled business processes are a trend with the potential to rapidly accelerate the agility, innovation, responsiveness, and resilience needed to be adaptive to the speed of change characterized by current times.

Lost amid the weaknesses the pandemic has laid bare is a much bigger and longer-term story: the strengths it has also revealed. Why are companies like Amazon, Apple, Zoom, Microsoft and Netflix thriving while others struggle? Obviously, they provide services that are vital right now, but there's far more to it. The biggest underlying factor in their success is not what they sell or that they leverage the cloud. What sets these companies apart is that enterprise-wide intelligence underpins everything they do.

A new report from information technology company Wipro Limited claims that enterprises of the future will be built on a foundation of Artificial Intelligence (AI), Analytics, Machine Learning, Deep Learning and Automation. According to the'State of Intelligent Enterprises' report, these technologies are central to solving business problems and driving innovation. Most businesses consider AI to be critical to improve operational efficiency, reduce employee time on manual tasks, and enhance the employee and customer experience. The'State of Intelligent Enterprises' report sets out to examine the current landscape and shows the challenges and the driving factors for businesses to become truly Intelligent Enterprises. Wipro surveyed 300 respondents in UK and US across key industry sectors like financial services, healthcare, technology, manufacturing, retail and consumer goods.

AI job titles vary wildly, which complicates job searches. Dr. Feiyu Xu, global head of artificial intelligence for SAP Cloud Platform, helps decode AI job titles and explains what skills each position needs. Upside: What are the primary job titles of today's AI positions? Dr. Feiyu Xu: Job titles in AI are a mess. AI is a young and rapidly expanding field, so there are no rules or de facto standards yet that prescribe the proper naming of AI jobs.

Most businesses agree that artificial intelligence (AI), paired with other state-of-the-art technologies, will drive future business success. However, according to a new report from Wipro, barely any companies are taking advantage of the technology. The report claims that the use of AI, analytics, machine learning, deep learning and automation creates what's known as an "Intelligent Enterprise". While most organizations (80 percent) recognize the importance of being "intelligent", less than one in five (17 percent) would classify themselves as such. Being an "intelligent enterprise" helps businesses solve problems and drive innovation.