Archive for Mai, 2021


EU-Datenschutzbeauftragter untersucht AWS- und Azure-Cloud | ZDnet


Elektromobilität: Italien testet induktive Ladetechnik unterm Straßenbelag | Golem


Apple-Manager räumt Mac-Malware-Problem ein | ZDnet


AI Brand Management

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3 Ways to Leverage AI for Brand Management

Author: Rae Stinbach

We’re still just scratching the surface of the potential of artificial intelligence, but AI has already transformed common practices in a variety of industries. Forward-thinking organizations are already looking for ways to integrate more AI into their existing strategies.

In this article, we’ll take a look at three of the most effective ways to use artificial intelligence in order to improve your branding. It can also be a good idea to collaborate with a top digital strategy agency in order to achieve your marketing goals.

Automated Targeting

Digital marketing is all about sending the right message to the right user at the right time. Unfortunately, this is easier said than done—it’s extremely difficult to predict what a given lead will respond to at a particular point in the sales cycle, and these analytics are relatively inefficient when performed manually.

With artificial intelligence, you can easily generate finely grained information about your audience in order to segment leads more narrowly and identify the perfect audience for each message. AI can analyze much larger volumes of data than ordinary humans, and you can use that information to develop better tactics over time.

Customer Experience Optimization

You might think of the customer experience as secondary to prices and product quality, but the vast majority of companies that take steps to improve the customer experience say that it helped them increase revenue.

Customer service is one area where artificial intelligence is already having a clear impact. Rather than having an agent respond to every request, you can start the support funnel with an AI chatbot. These bots can answer basic questions and direct customers to the most relevant resource for more complicated questions, helping you cut costs while offering a more responsive customer experience.

Data Security

The transition to digital solutions has improved efficiency at every level, but it has also dramatically increased the risk of data breaches and other online threats. In fact, the average data breach costs an organization millions of dollars.

Unsurprisingly, firms around the world are already working on AI solutions for cybersecurity. Along with biometrics and other well-known measures, this also includes more cutting-edge projects such as User and Entity Behavior Analytics (UEBA) and Security Information and Event Management (SIEM). It’s impossible to predict what the AI security field will look like in just five or ten years.

Brand management is vital for long-term success in every industry, and organizations that haven’t started using AI will quickly find themselves falling behind the competition. These are just a few of the most important use cases for stakeholders to be aware of in 2021 and beyond.

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The Top Infrastructure as Code Tools Available Today

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The Top Infrastructure as Code Tools Available Today

Author: Chloe Kirby

Infrastructure management can be time-consuming and it can run into serious issues with human error. Since the inception of Infrastructure as Code (IaC), this has all started to change. Instead of having to physically configure servers, much of the work can now be done in a way that is similar to handling application code. This makes the process of configuring resources faster, more reliable, more consistent and more accurate. 

While IaC has been a benefit for DevOps, there are a lot of tools to choose from. In this post, we will look at the top IaC tools available today. 


Developed by HashiCorp, Terraform is one of the most popular IaC tools. Terraform can work across multiple cloud service platforms and it is considered one of the best tools for provisioning, configuring and managing cloud infrastructure. It also works with a declarative programming language to simplify processes and it supports updating and provisioning previews to validate configurations before deployment.


CloudFormation is the integrated IaC tool that comes with Amazon Web Services (AWS) cloud. Since AWS is one of the most popular cloud service providers, it makes sense that CloudFormation is also one of the most popular IaC tools. CloudFormation provides users with a quick and easy way to provision and manage AWS and third-party resources in a way that is predictable and efficient. The models and templates are written in JSON and YAML, and it makes the process of scaling and deploying resources easier on the AWS platform.


With Ansible, you have an IaC tool that is the picture of simplicity and flexibility. It is an open source Infrastructure as Code tool and it was designed with automation at the forefront. Ansible makes it possible to automate processing like configuration management, application deployment, provisioning and orchestration. You can also create your own modules and routines, so it is made to be one of the most flexible platforms available for infrastructure management.

Google Cloud Deployment Manager

Google Cloud Deployment Manager is the IaC tool for Google Cloud Platform. This tool is made for the automation of creating, configuring, provisioning and managing of resources in Google Cloud environments. You can build models using Python or YAML and it also supports previews to get a look at changes before deployment. It also operates with a declarative language, so you can set the desired end result and then let the system work out the details of how to get it done. 

Azure Resource Manager

Azure Resource Manager (ARM) is the resource management and deployment tool for Microsoft Azure. This tool makes it easy to create, provision, deploy and maintain resources in Azure environments. Users can easily handle infrastructure using ARM templates with all resources being declaratively written using JSON. The Azure platform is also great because you can redeploy templates as many times as you need while getting reliable results for every deployment.

Infrastructure as Code might come with its own unique issues, but the benefits it provides far outweigh any issues you may face. It makes teams faster and more agile while making their work more reliable, predictable and consistent. With these benefits, IaC is sure to be the future of Infrastructure management.

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Thinkpad X1 Carbon Gen9 im Test: Oh du hassgeliebtes Knubbel-Book! | Golem


Dell trennt sich von Boomi | ZDnet