A look at the future of software testing: HPE vision for Continuous Testing

Many organizations struggle with the implementation of the engineering practices of DevOps, specifically with continuous testing. What if software development teams had a solution that was 100% cloud based (for distributed teams), provided real-time data analytics (for quick feedback), and supported the activities of build, edit and execution of test scripts in the cloud (nothing on the desktop). Couple that with the ability to test mobile apps on multiple devices (for scale and efficiency), the option to use containers plus existing tools (including open source), and support visual UX testing (for user experience and accessibility) while linking directly to existing continuous delivery infrastructure, and the goal of continuous testing becomes in reach.
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Spotlight

OTHER ON-DEMAND WEBINARS

DIGITAL TWIN AND AI: ROADMAP TO AUTONOMOUS MACHINES

mevea

Where is your company when it comes to AI? Watch this free webinar to gain a further understanding of Artificial Intelligence, its possibilities and limitations, and how Digital Twins are enabling its development in the manufacturing industry.
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AI development in practice - From definition to deployment

IBM

What does an AI project look like in practical terms? What machine learning methods are out there? Welcome to the fourth episode of Watson Data & AI webinar series, where we will shed some light in to the workflow of a typical AI engagement - to help you set the direction on how AI development is done in your enterprise.
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The future of Java

Belatrix Software

Java continues to be one of the world’s most popular programming languages. As the technology world continues to change rapidly, so Java will also adapt to a new world characterized by cloud computing, big data, and the internet of things. To help you keep up with the changes that we can expect to see in the future, particularly with the upcoming release of Java 9, in this upcoming webinar Belatrix expert, Willy Seminario, will discuss: The history of Java.
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Improving patient outcomes with big data and AI

Databricks

From genomics to electronic health records, massive datasets are enabling data-driven insights and ushering in a new era of precision medicine. Yet, healthcare organizations looking to unleash the power of big data and AI face many challenges, including how to: Securely manage and merge rapidly growing sets of siloed healthcare data.
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