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.
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.
We often associate big data with research problems that are important to humanity as a whole – problems like human evolution, energy sources and cancer. To process big data, we often think that one needs big iron like computer nodes, scale-out storage and parallel systems to compute the massive amounts of data.
There is no way to deal with data processing in daily business without coming across document and mobile capture. But when exactly is an investment in the proposed solution of smart data capture profitable – or even essential? And how do the applications wield influence over following processes once the initial handling has been completed? A compact overview with all the relevant information is provided in trade group Bitkom’s significant guidelines.
Despite rising digitization, numerous enterprises are experiencing increases in their expenses as well as inefficient processes. Some of the issues include manual data acquisition, permanent switches between different applications, media disruption and more. Robotic Process Automation (RPA) could be the solution to these complex problems if it is deployed in the right way.
Often, when we think about big data, we think about the volumes of data that are referred to. It is tempting to do this because big data does involve large volumes of data that are constantly growing at exponential rates. Advances in the growth and development of big data computing constantly dominate the news. It takes advanced software and BI tools to even begin to comprehend the volume of certain measurements, such as petabytes and exabytes.
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?
Enterprises primarily look for simple and low-cost options to offer their clients online services that make use of conventional chatbots (also referred to as ‘virtual assistants’). Instead of saving, in most cases, the expenses rise as the chatbots initially have to be ‘trained’ via so-called ‘dialog scripts’ in order to be put into operation. Those scripts have to be programmed manually! In addition, it is proven that traditional chatbots neither prevent further inquiries nor do they achieve favorable customer experiences. Rather, there is a high possibility of doing oneself a disservice by using chat robots. In light of smart speech assistance, such as SIRI or CORTANA, growing skepticism about their sustainability is valid.
Comprehensive ‘Information of Everything’ is about all imaginable IT-related issues, from self-learning software, discrete agents and automated objects to innovative apps and services, furthermore providing a platform for the Internet of Things. Gartner’s riveting predictions and analyses for the current year’s end include a future digital world based on Artificial Intelligence algorithms and smart machines that are able to facilitate a ‘harmonious relation’ between businesses and their clients.
Enterprises of all industries and sizes are facing fundamental challenges caused by the progressive digitalization throughout societies worldwide. After decades of inflexible work processes based on rigid rules and top-down structures, slowly but surely the public has dominated the market. Given their demands for individual quotations and immediate response, many business models have fallen into disuse. The future holds the solution in artificial intelligence (AI).