The rate at which low-code applications are built and deployed will accelerate as developers begin to rely more on artificial intelligence (AI) to write code. The summer 2019 release of the Mendix low-code platform includes a revamped instance of Mendix Assist, which employs machine learning algorithms to make coding recommendations. Those algorithms have been trained […]
How IoT Security Risks Derailing Robotics
Driven by advances in technologies such as artificial intelligence and deep learning, the mobile robots market is projected to grow to $54.1 billion by 2023 from $18.7 billion last year, according to Markets and Markets. But for robotics to progress, security for the internet of things (IoT) needs to be addressed fast, before the reputation […]
Micro Focus Lays DevOps Foundation for RPA
Micro Focus has announced the general availability of Micro Focus Robotic Process Automation (RPA), which sets the stage for employing DevOps processes to construct highly automated business processes. Thanks to the rise of artificial intelligence (AI) and digital business transformation initiatives, interest in RPA has increased significantly. However, rather than merely using RPA to build […]
3 Examples of AI at Work in DataOps
Artificial intelligence (AI) is making all the difference between innovators and laggards in the global marketplace. Yet, implementing a state-of-the-art DataOps operation involves a long-term commitment to putting in place the right people, processes and tools that will deliver results. In this post, we look at three organizations that are doing cutting-edge work in the […]
Ensure Your AI is Working for Your Data Team
AI tools hold great promise for DataOps. They can help teams identify the best apps to migrate, identify optimum cloud infrastructure and even validate decisions. But how can an IT team ensure the AI tools it uses are actually advancing its DataOps goals? A hard pill to swallow is that even the best-designed algorithmic decision-making […]
How AI is Transforming Testing Today
Currently, there is much debate about how artificial intelligence (AI) will transform our lives. One of the technology’s key benefits lies in its power to transform traditional approaches to app development and software testing. Gartner identified AI-driven development as one of its top three strategic technology trends for 2019. Digital transformation is dependent on better-quality […]
Are Self-Service Machine Learning Models the Future of AI Integration?
DevOps teams seeking to step up their mojo in developing cutting-edge artificial intelligence (AI) features are facing a big skills bottleneck when it comes to data analytics and machine learning modeling. As a result, the market is seeing an influx of self-service machine learning models and machine learning-as-a-service offerings designed to help development teams more […]
Nutanix Eases Development of IoT Apps
Nutanix, a vendor of hyperconverged infrastructure solutions, has released a new developer environment that allows developers to try and test IoT and AI apps in the cloud. Starting May 7, developers can sign up for a free 10-day trial of this experience. The developer environment is built under Nutanix’s Xi IoT Platform and gives developers […]
7 Big Digital Transformation Trends
As enterprises continue their rush to digitally transform their organizations, they’re investing big in retooling their software development pipelines, new artificial intelligence (AI) and robotic process automation (RPA) technologies and low-code development platforms, as well as putting considerable money into customer engagement software. Yet, the extent of success following these investments remains unclear and varies […]
In Service Management, AI Is Still Aspirational
Artificial intelligence (AI) has become a matured concept, the excitement of which is bearing results for a number of sectors and it holds a good deal of promise for a bright future. AI is the act of making possible for machines to learn from “experience” while adjusting to new input and stimuli so they can […]
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