The cloud promises flexibility and efficiency, allowing the service to continue to grow in popularity. In our cloud report we see huge differences when it comes to adoption rates in different industries. The banking and finance sector are well behind other industries, and yet they are relatively dependent on technology – why?
This author has yet to write their bio.Meanwhile lets just say that we are proud Basefarm contributed a whooping 108 entries.
Entries by Basefarm
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.
– Azure Stack is Azure public cloud services delivered from our own local datacenter. It is made up of dedicated hardware delivered by Microsoft certified partners such as HP/Dell/Lenovo based on Microsoft specifications. What is the Azure Stack? – Azure Stack is Azure public cloud services delivered from our own local datacenter. It is made up of dedicated hardware […]
Digital development and the targeted use of data are the critical factors in the success of companies these days. They must to be prioritized. Some advanced companies have already recognized this, have made it an issue for senior management and have created a new position called the Chief Data Officer (CDO). But what does the role involve? Let’s take a closer look.
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.