LogicMonitor Embraces AIOps
LogicMonitor today announced the general availability of LM Intelligence, an extension of its monitoring platform that leverages machine learning algorithms to identify potential issues that are indicative of a major impending outage. Sarah Terry, manager of product management for LogicMonitor, said rather than acquiring a separate AIOps platform, it makes more sense to employ machine […]
Designing a Future of Innovative UX, Without UI
The long-fabled future of a world without traditional human-to-computer interactions is no longer science fiction. It’s a reality. Consumers all across the globe are wearing computers on the wrists, talking to artificial intelligence to check the weather and monitoring body functions through micro-devices. This is just the tip of the iceberg of what is possible […]
CIOs See Dramatic Change Ahead
Driven by heightened competition and a rapidly changing business environment, many enterprises now find themselves faced with decisions that could make or break their future. Consider this: Within three years, 44% of respondents to the 2019 Harvey Nash / KPMG CIO Survey expect to fundamentally change their product, service offerings or business model. It’s a […]
DevOps Chats: The Future of Farming with Aerobotics
Spinnaker Summit 2019 Preview: Never underestimate an entrepreneur looking to solve a real-world problem. Aerobotics is bringing drones, imagery, mapping, containers, Kubernetes, Spinnaker, data pipeline processing and machine learning to agriculture. Sounds interesting, right? Aerobotics uses aerial drones and sophisticated image processing to help growers manage yield, pest and disease in their farms through artificial […]
DevOps Chats: Autonomous Test Innovation Using AI/ML with Functionize
At the speed of DevOps, automated testing is essential for QA to maintain pace with that of software creation. Automated testing is ripe for innovation, too. How do we know we are performing the most relevant tests, that new functions in the software aren’t being missed or overlooked, or that highly dynamic applications aren’t outpacing […]
Building Your Data Science Team from Within
The global machine learning (ML) industry is increasing at a compound annual growth rate of 42% and will be worth $9 billion toward the end of 2022. Despite this figure, there are many cases of data science teams’ failure to deploy a reliable artificial intelligence (AI) product or service. Part of the failings and shortcomings of AI […]
IBM Zones in on DevOps for AI
IBM this week revealed it has added a drift detection capability to the Watson OpenScale platform to govern artificial intelligence (AI) models that will become a foundational piece of IBM’s approach to defining best DevOps practices for building AI-infused applications. Rohan Vaidyanathan, program director for IBM Watson OpenScale, said one of the biggest AI issues […]
What is so Special About AIOps for Mission Critical Workloads?
As the wave of digitization sweeps more enterprises with each passing day, the threats posed to organizations, particularly IT organizations, have never been more complex and pressing. With cybercrime statistics, including those for more targeted crimes (such as phishing) pointing towards an alarming frequency of attacks, the stakes for securing enterprises have been higher. However, […]
How AI and Microservices Create a Reliable Enterprise of the Future
The Rise of Microservices Enterprise adoption of microservices is continuing to rise. Its popularity is so strong that 86% of development professionals internationally expect microservices to become the default application architecture within the next five years. Looking out even longer, nearly all professionals see microservices becoming their company’s default application architecture. At its core, a […]
The Barriers to Robotic Process Automation, Part 2
Enterprises are rushing to embrace robotic process automation (RPA) but, as we covered in The Barriers to Robotic Process Automation, Part 1, they’re also hitting considerable challenges along the way. While we cited prominent barriers to the effective implementation of RPA in part one, here, we will provide practical ways organizations can overcome these barriers. […]
Fujitsu: State of Digital Transformation Is…Mixed
According to the Fujitsu Future Insights Global Digital Transformation Survey Report 2019, nearly 90% of companies in a recent survey are already deep into their digital transformation efforts. While the survey did find broad movement toward digital transformation, there existed wide differences in the progress of transformation across industries. If digital transformation progress were a […]
With Platform, Dotscience Applies DevOps to AI
Dotscience today launched a namesake platform for building and deploying artificial intelligence (AI) models based on a set of best DevOps practices. Company CEO Luke Marsden said that as organizations realize that AI models need to be trained and updated continuously, the need for a DevOps platform that accelerates that process will become more apparent. […]
DevOps Deeper Dive: BMC Software Bets on AIOps Transformation
As BMC tests the AIOps waters, the company seeks to find a balance in serving both the DevOps and ITIL populations It’s clear in the enterprise IT space that artificial intelligence (AI) is poised to play a significant role in IT operations, a phenomenon known as AIOps. Often with this level of IT disruption, new […]
Mendix Injects More AI to Accelerate Low-Code Development
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 […]
Low-Code Providers Continue Enhancing Their Development Platforms
Enterprise low-code development continues to grow in popularity as software vendors continue to unveil tool enhancements designed to help business users and non-developers build functional applications and business processes. The help from low-code platforms (and other platforms that are integrating low-code capabilities) couldn’t come at a better time, as enterprises continue to struggle to digitize […]
How DevOps Teams Can Skill Up on DataOps
If you’re a DevOps engineer, you probably don’t think of data operations as a key part of your job. You help to write code and deploy and manage applications, while someone else handles data management and analytics, right? Probably not. Although it might be comforting to imagine that every company has a dedicated team of […]
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 […]
Moogsoft Advances AIOps Workflow
Moogsoft is moving to make it easier to create custom workflows around its AIOps platform while expanding the number of integrations provided to include connectors to New Relic Insights, Microsoft Teams and proxy support for polling integrations with IT platforms Zenoss, Zabbix, vCenter, vSphere, Solarwinds, Spectrum and SevOne. Gabe Coelho-Kostolny, senior product management and product […]
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 […]