Machine Learning and AI: First steps into intelligent automation

What seemed pie in the sky only a few years ago has become reality: Machine learning (ML) is pervading economic processes and continually improving business procedures. By 2020, most decision-makers in IT and digitalization expect machine learning to play a growing role in the value creation process. To keep up with this development, you will need a keen understanding of data. Without a data-driven mindset, however, it’d be difficult to implement these techniques into your business processes.

Banks in Transition: Searching for in-house solutions in vein

Banks are facing profound change at the moment. What’s more, they are doubly affected by the digitalization: On the one hand, the financial industry’s traditional products and services are turned topsy-turvy. On the other hand, banks are more impelled than virtually any other industry to digitalize internal processes and legacy systems. The time for banks to take the right steps towards digital transformation is now. Seeking external advice and integrating intelligent cloud-based solutions, for example, are both great ideas to start with.

Why IT Prozesses Need Intelligent Automation NOW

Intelligent automation of routine processes is on the mind of decision-makers and leaders around the world and across industries right now. An organization’s every department is trying to figure out a strategy for intelligently automating repetitive processes. Yet no other area is as blatantly affected as IT. The business environment is drastically changing, so IT managers around the world feel more and more compelled to deal with the subject of intelligent automation. The digital transformation is necessitating new IT models. Prozesses need to be linked and automated coherently. Yet very few IT decision-makers are getting around to earnestly tackling the issue.

How Artificial Intelligence Will Transform Financial Services

Artificial intelligence is employed in financial services more and more often. A 2017 study by Forrester Research found that 69 percent of executives in charge of data and analytics at financial service providers are already using or are planning to use intelligent software solutions. Thus, financial service providers prove to be much more open-minded toward using artificial intelligence compared with decision-makers in some other industries. And they have to: Emergent financial technologies (fintech) companies are on the heels of traditional financial service providers. Their business models are based on innovative financial services — artificial intelligence is virtually always in play.

Automate These Four Customer Service Processes Now

The digital customer experience is becoming increasingly essential for the success of companies. More and more leaders and decision-makers recognize that, in this digitalized and networked world, it can foster great customer affinity, from which they benefit. A new study by the market research and consulting firm Lünendonk Hossenfelder offers fresh numbers regarding this topic.

How Artificial Intelligence Aids in 5 Central Areas of Marketing

How Artificial Intelligence is Transforming Healthcare?

Technology and advancements in healthcare are progressing rapidly. Only a decade ago, the typical procedure was that you went to the hospital, checked in, were added to a waitlist and waited to see a physician. Sometimes, you would sit and wait your turn for several hours.

No wonder AI and RPA are the future of service companies

Long before the breakthrough of artificial intelligence (AI) and robotic process automation (RPA), managing communication with clients was a rather simple task. Contacts were made telephonically, concerned users called the helpline about small issues and posted a letter whenever more details were necessary. No other touchpoints were employed. Another major difference compared to today was the extended period it took to solve the task. In former times, it was solely dependent on the company to decide the time span. This went on until the Internet pushed its way through. Thanks to digitization, the power has shifted and now the clients have their say! Consequently, customer service procedures were turned upside-down and had to be rethought.

Prepare for a cognitive company with AI software!

Around the world, there are numerous jobs that require human beings, be it for creative or consulting tasks, or issues requiring intuition and contemplation. In these cases, AI software can only be helpful by diagnosing circumstances and supporting human labor. Experts are in agreement that cognitive software will influence modern digitization in a similar way to how steam engines impacted industrialization. According to the IDC, more than half of all company software applications will be equipped with artificial intelligence in the course of 2018.

Knowledge-based business tasks: Enhanced by automation

As far as intellectuality and cognition are concerned, so-called ‘knowledge workers’ play key roles in modern enterprises. For knowledge workers, contributing to a successful business by forming and implementing their concepts is often considered a lifelong task. As analysts have predicted an increasing skills shortage for years to come, companies are trying their best to counteract any adverse effects. The ‘war for talent’ entails new ways of finding and keeping the necessary talent for company plans.

What does RPA actually mean? The term at a glance...

Most of us have heard about it, but are we all able to explain what it is? Robotic Process Automation (RPA) is based on artificial intelligence. A wide variety of definitions have been used to try to predict its effect on years to come in business and privacy. People do not tire of discussing possible future changes, with both skepticism and emotion. So, what exactly lies behind the terminology, and in which way can RPA improve our future workflows and processing?