Eggplant Injects AI Into Application Testing
Eggplant has infused its automated testing platform with deep learning algorithms that automatically identify and classify user interface (UI) elements such as buttons and text fields across any platform and then generate all the automation assets needed to instantly run a test. In addition, Eggplant has made it easier to visualize the overlap between common […]
It’s Time to Take a Customer-First Approach to AIOps
Artificial intelligence for IT operations (AIOps) has several use cases that IT operations managers can’t deny: reduce alert noise with statistically significant outcomes (up to 80%), correlate alerts and events to uncover the critical business issues immediately, analyze data across environments to find root causes and resolve routine issues (like patching) automatically. Gartner predicts that […]
How DevOps Powered by AI and Machine Learning Is Delivering Business Transformation
The use of artificial intelligence (AI) and machine learning (ML) is fundamentally changing the way we think about DevOps. Most notably, it is delivering a new form of DevOps that recognizes the need to have systems that are intelligent by design and underpinned by comprehensive security (DevSecOps). For many, this will be the crucial next […]
Report: Debugging Efforts Cost Companies $61B Annually
Undo, a provider of a software failure replay platform, this week published a report in collaboration with a Cambridge Judge Business School MBA project that estimates 620 million developer hours a year are wasted on debugging software failures, at a cost of roughly $61 billion. The report also notes software engineers spend on average of […]
A Buyer’s Guide to AI and Machine Learning
B2B software sales and marketing teams love hearing the term “artificial intelligence” (AI). AI has a smoke and mirrors effect. It sounds impressive. But, when we say “AI is doing this,” our buyers often know so little about AI that they don’t ask the hard questions. In industries like the DevTools space, it is crucial […]
Moogsoft Expands Reach of AIOps Platform
Moogsoft this week updated its AIOps platform to enable IT organizations to construct a virtual network operations center (NOC) that pulls in data from incident management and DevOps platforms for remote IT management. Adam Frank, vice president of product and design at Moogsoft, said version 8.0 of Moogsoft Enterprise enables IT teams to aggregate alerts […]
DevOps Trends for 2020 and Beyond
Since the ideation of DevOps, technologists have made great strides to benefit from it. Despite advancements and the success that teams have seen within pockets, many of its core challenges are still prevalent: scaling across the enterprise due to manual processes, poor visibility between dev and ops teams, and tool sprawl that hurts agility. Luckily, […]
Accelerating IoT by Switching Gears to 5G
Unprecedented breakthroughs in technology have often resulted in the emergence of disruptive technologies and outstanding innovations. A major development in one technology always fuels the growth and advancement of several other technology domains and industries that take advantage of it, resulting in a need to transform businesses to address new opportunities. The evolution and development […]
Intelligent Virtual Assistants and Their Role in Helping Brands Transform Customer Experiences
The relationship between computers and humans has undergone a significant paradigm shift over several decades. From the emergence of the web in 1995 to applications or apps in 2005, technology has grown by leaps and bounds as the years progressed. This growth has brought technology to the modern era, where artificial intelligence (AI) has ultimately […]
AIoT and Intelligence on the Edge
Recently, one of the biggest convergences is between the fields of AI/ML and IoT, which enables the rise of Artificial Intelligence of Things (AIoT). AIoT combines data collected by sensors and other devices with the intelligence offered by AI/ML to enable real-time, intelligence on the edge. By converging AI/ML and IoT capabilities, AIoT solves two […]
DataOps and Beyond: How DevOps Methodology Transformed Our Approach to Data Science
The DevOps methodology has become synonymous with forward technical thinking–a workplace culture that reinforces best cultural practice and promotes more, better quality output by synchronizing the functions of development and operations teams. As a testament to its popularity, the term has expanded in reach to refer to a broader set of transformational software-related practices. The […]
Enterprise AI Books to Read This Spring
If you are anything like me, and curious about how new enterprise tools will transform our relationship with work and business-technology, then you are probably reading a lot about artificial intelligence. There’s likely no other topic that’s been written about in more depth in recent years, yet much of it is unrealistic or poorly reasoned […]
Why Enterprise Survival Depends on a Context Driven Approach to Data
Enterprises are sitting on an enormous amount of data that could be fueling their automation journey. Much of the information needed to run a business is existing data. However, much of an organization’s data is inaccessible and unsearchable. This so-called “dark data” is hidden away in paper forms, spreadsheets, emails and literally billions of PDF […]
Three Keys to Successful AI Adoption
Over the past several years, we have begun to see the emergence of artificial intelligence (AI) in businesses. According to a study for the AI Index 2019 Annual Report, more than half of respondents report their companies are using AI in at least one function or business unit. Thirty percent report they have AI embedded […]
LogicMonitor Acquires Unomaly to Advance AIOps
LogicMonitor this week revealed it has acquired Unomaly, a provider of tools infused with machine learning algorithms that make it easier to analyze large volumes of log data. Tej Redkar, chief product officer for LogicMonitor, said the acquisition of Unomaly will advance a previously announced AIOps initiative through which LogicMonitor will embed advanced analytics and […]
Predictions 2020: Five Real-Time Data Predictions
According to Gartner, 85% of big data initiatives end in failure. In 2020, organizations are out of budget and operational runway, and need to start executing and getting the big data recipe right. It is not just about big data; it is about using data differently. Rather than rearward-facing business intelligence, leading companies are driving […]
Cloudera Calls for MLOps Standards Initiative
Cloudera put out a call this week for the IT industry to define a set of open standards for machine learning operations (MLOps) and machine learning model governance that could be universally applied. Santiago Giraldo, senior product marketing manager for data engineering for Cloudera, said the idea is to create the equivalent of a set […]
Predictions 2020: Ushering in 2020 Data Predictions
2019 brought us more data organizations running more advanced analytics, AI and ML workloads than ever before. 2020 is the year where we’ll see a spike in both the number of technologies and data teams that support these types of workloads internally. We’ll see AI and analytics teams merge into one as the new foundation […]
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 […]
AWS Applies Machine Learning to Optimize Cloud Deployments
Amazon Web Services (AWS) this week at its re:Invent 2019 conference unfurled two tools based on machine learning algorithms to optimize cloud application deployments. Amazon CodeGuru is a service available as a preview, through which the cloud service provider will inspect application code using machine learning algorithms to profile the code and then identify bottlenecks […]
Testim Adds SDK to AI-Based Testing Platform
Testim this week launched a beta release of a software development kit (SDK) consisting for a set of JavaScript application programming interfaces (APIs) that will enable DevOps teams to build tests that leverage machine learning algorithms from within their integrated development environment (IDE). Company CEO Oren Rubin said the Testim Development Kit makes it possible […]
Five Challenges of Machine Learning DevOps
As organizations add machine learning (ML) to their workflows, it’s tempting to try to squeeze model creation and deployment into the existing software development lifecycle (SDLC). However, ML is fundamentally different than traditional applications, and it’s important to account for that in a new, unique process called the machine learning development lifecycle. We have identified […]
AIOps: The Path to Greater Resilience and Uptime
Large organizations with complex IT infrastructures are facing a significant challenge when it comes to data. The complexity is such that many IT operations teams are struggling to detect, or predict, the complex failure conditions and circumstances that can adversely impact resilience and uptime. Monitoring a multitude of systems is a complex task, as the […]