White Paper: RoboBusiness
To advance industry, the Chief Robotics Officer (CRO) must combine management functions, standardize corporate systems, and integrate robotics innovations.
The fast evolving availability of specific business/financial models for Robotics & Intelligent Operational Systems (RIOS) and lower financial barriers to adoption, in addition to increasing standardization levels, artificial intelligence, and automation are driving operational effectiveness (e.g. cobots (collaborative robots) in manufacturing processes, semi-homogeneous use of cloud computing capabilities, application specific solutions.
This white paper takes a deep dive into this emerging role responsible for evaluating and implementing robotics, automation, or intelligent technologies into their organizations.
Read the following white paper that will address all your questions, such as:
What is the use of a CRO in any business? What is the impact of CRO in an organization’s growth and adoption of robotics? What is the future of CRO and Robotics-as-a-service?
What are the operational trends for CRO adoption?
How to define an action plan for existing or aspiring Chief Robotics Officers?
What are the roles and responsibilities of a CRO?
What are the current approaches related to Robotics-as-a-Solution?
By: Software AG
Digital business transformation is based on an IT architecture transformation with a roadmap for digital capability implementation. Based on the software platforms, digital companies create enhanced or totally new business models which offer completely new digital customer experiences. Established companies are building up software know-how and are acquiring software companies to accelerate their digital transformation by injecting software innovation capabilities into their core business areas. This whitepaper helps to understand what makes today’s digital challengers attractive to customers and consumers, as it highlights their core competencies and differentiators based on their digital software-based technology. Key takeaways from this whitepaper: Digital challengers separate companies from their customers Implementing digital capabilities for digital use cases Digital companies have a micro services-oriented, scalable IT architecture
Today, artificial intelligence (AI) has become one of the most powerful marketing tools by actually delivering on the promise of 1:1 marketing. Instead of merely pushing the key marketer challenges further downstream, AI actually overcomes them. Using advanced machine learning algorithms, AI technology solutions are being built to take over most of the tedious and time-consuming tasks that marketers struggle with on a regular basis. This whitepaper provides insights on how artificial intelligence helps to fulfill the vision of true 1:1 marketing by bridging the gap between data and personalized customer experiences. Key takeaways from this Artificial Intelligence Whitepaper: Revolutionizing the marketer’s role Bridging the marketing gap with Artificial Intelligence Product recommendations: How Artificial Intelligence benefits marketers AI at work: Incentive Recommendations
What is Manufacturing Process ?
A manufacturing process involves steps which transforms raw materials into a final product. The process begins with the making of the materials out of which the design is made. Through manufacturing process these materials are modified to become the required part. Manufacturing processes are inclusive of treating (i.e. heat treating or coating), reshaping the material or machining. Tests and checks done for quality assurance during or after the manufacturing and the planning of the production process prior to manufacturing are part of the manufacturing process too.
What is Automation ?
The technique of operating or controlling a process with the help of automatic equipment can be defined as automation. In other words, use of technological applications to oversee and manage a production process. Automation is used in all kinds of industry, namely, manufacturing (pharmaceutical, food industry, or petroleum), transportation, utilities (electricity, water, and gas), defense, and facility operations, like security, or energy management.
What is Artificial Intelligence ?
Artificial Intelligence involves incorporating features in machines that mimic human intelligence and cognitive attributes like self-learning, visual perception, speech recognition, logical problem solving, and decision making. The Artificial Intelligence field aims to solve human intelligence and put its features in software, robots, and machines in general for increased efficiency in performing tasks that exceed common mathematical boundaries and human capacities.