The core focus of architecture, and of those who practice it as a profession, is to plan the design, layout, and construction of buildings. The Data Architects and System Architects employed in the planning and building of business-critical data infrastructures have a similarly vital role to play in their industries. Read on to find out more about these intriguing professions.
With the end of the year fast approaching, we’ve all been wondering what 2018 has in store. Forrester Research has provided the answers in its latest report, entitled “Predictions 2018: The Honeymoon for AI is over”. The study predicts that artificial intelligence (AI) will finally become more than just hype. Companies will increasingly start to realize that AI requires significant effort in terms of planning, delivery, and management – and the profession of aata engineere will become ever-more critical to the implementation of the technology.
For companies who want to retain their position as a digital leader and keep pace with technological progress in our modern world, the accurate and efficient processing of data is now more critical than ever before. Data lakes are one tool that enables users to collate all the data they hold in a single location. In this post, we introduce an even more extensive method that allows users to maintain performance and efficiency in incoming data flows and retain complete flexibility during data processing: Virtual data warehouses.
At this point we are launching a new category of articles with a technological background and high relevance for the community.
To mark the German government’s Digital Summit, digital industry association Bitkom has published a position paper on the topic of “artificial intelligence as a decision-making tool”. The paper looks at key aspects of AI and explains the opportunities it presents. It also covers the development of the technology and provides specific recommendations for political action. *um Data Scientist Helena Mihaljevic-Brandt was involved in the compilation of the paper.
Artificial intelligence and machine learning are key in securing the future success of a company. In a study conducted in partnership with Crisp Research and Hewlett Packard Enterprise (HPE), we show how widespread the use of these technologies currently is, and how they are set to grow in importance in the future. We also explain their various applications and discuss what developments are on the horizon. This is our investment forecast up to the year 2020.
In the last years, many big IT corporations like Amazon (Web Services), Google (Cloud Platform), Microsoft (Azure) and IBM (Developer Cloud) as well as startups like Dataiku, BigML, ForecastThis (and more) have started to offer Artificial Intelligence as a Service (AIaaS). These services are supposed to lower the entry costs for other companies to use Artificial Intelligence. – Time to increase the understanding, in return. A classification.
Artificial intelligence and machine learning – and the impact of these technologies on corporate success – were the subject of a study we recently published in partnership with Crisp Research and Hewlett Packard Enterprise (HPE). In this study, we explain the “traditional” applications for these technologies in a commercial context, and take a look ahead into the future – more specifically, at how companies interact with their customers automatically and digitally via speech control and digital agents.
Artificial intelligence (AI) and learning machines are penetrating the workplace and everyday life an ever-growing rate. An important element of AI is chatbots – robots and software services that perform communication tasks. Let’s take a look at where chatbots come from, how they are implemented and how they need to develop.
Artificial intelligence (AI) plays a fundamental role in a company’s future success. Its key technologies are being deployed all across the board. These are among the findings of a study we recently published together with Crisp Research and Hewlett Packard Enterprise (HPE). Now let’s look at the details and various facets of AI.