10 Ways AI Is Accelerating DevOps

Source:-forbes.com Startups offering AI-powered software development tools raise $704M over 12 months ending September 2019, according to a Deloitte report published earlier this year. IDC predicts the global market for custom application development services is forecast to grow from $47B in 2018 to more than $61B in 2023, attaining a 5.3% Compound Annual Growth Rate (CAGR) in five years. Poor software quality cost US organizations an estimated $319B in 2019, according to the Consortium for IT Software Quality’s report on

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Persistent Achieves AWS SaaS Competency Status

Source:-aithority.com Recognizes deep cloud-based expertise building digital mosaics across key verticals Persistent Systems has achieved Amazon Web Services (AWS) Software-as-a-Service (SaaS) Competency status. This designation recognizes that Persistent has demonstrated deep experience helping organizations design and build SaaS and cloud-native solutions on AWS. Persistent is a global solutions company that excels at delivering digital business acceleration and enterprise modernization for organizations across industries such as banking/financials services, healthcare and life sciences, and the industrial sector. Achieving the AWS SaaS Competency

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The 7-Step plan for successful AIOps implementations

Source:-softwaretestingnews.co.uk The idea of applying artificial intelligence and machine learning to more rapidly and accurately resolve IT incidents and manage alerts has been gaining steam in the past year. While AIOps, as it’s frequently called, has spawned an entirely new market of startups, many enterprise IT leaders are playing a cautious hand so far – and for good reason. There are risks, though. If an AIOps tool goes wrong out of the gates, IT and executive trust diminishes. That’s why

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What would machine learning look like if you mixed in DevOps? Wonder no more, we lift the lid on MLOps

Source:-theregister.co.uk And why do such a thing? Well, how else will you push your artificially intelligent software into production? Achieving production-level governance with machine-learning projects currently presents unique challenges. A new space of tools and practices is emerging under the name MLOps. The space is analogous to DevOps but tailored to the practices and workflows of machine learning. Why MLOps is Needed Machine learning models make predictions for new data based on the data they have been trained on. Managing

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Google Cloud reveals new offerings for telcos, pairs with AT&T

Source:-totaltele.com AT&T will be the first operator to explore the possibilities of Google’s Global Mobile Edge Cloud AT&T will be looking to maximise the potential of mobile edge computing after its latest deal with Google Cloud was announced on Thursday. The company will be seeking to leverage Google’s new Global Mobile Edge Cloud (GMEC) service. The new service will effectively bring Google’s Cloud capabilities to the edge of AT&T’s network, allowing greater implantation of Google’s varied tech, such as AI,

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The Pros and Cons of Google’s New AI Transparency Tools

Source:-insidebigdata.com In this special guest feature, Jay Budzik, CTO at ZestFinance, discusses the set of developer tools that Google launched that allow data scientists to create explainable ML models, and also the reality of these new tools and how they are likely to impact the financial services market. ZestFinance is a software company that helps banks and lenders build, run, and monitor fully explainable machine learning underwriting models. As CTO, Jay oversees Zest’s product and engineering teams. His passion for

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Datadog Announces Integration with Nessus

Source:-aithority.com Datadog, the monitoring and analytics platform for developers, IT operations teams, and business users in the cloud age, announced an integration with Nessus from Tenable, Inc. The integration ensures advanced vulnerability assessment capabilities from Nessus are available as part of a secure, end-to-end DevOps process. This enables DevOps teams that rely on Datadog for their critical cloud monitoring to have constant visibility into the health and status of their Nessus deployments. The Datadog integration with Nessus can detect when

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Simplifying Conversational AI, One Interaction At A Time

Source:-forbes.com What if we could speak with our devices, cars, and homes just as easily as we do with our friends? Conversation is the bedrock of human communication, a transformative tool that reveals what’s inside our heads and hearts. Voice is our primary means of connecting with others—and, increasingly, it’s how we want to engage with the machines around us, too. Thanks to advances in speech recognition, artificial intelligence, neural networks, and processing power, we can tap into the capabilities

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IIT Kharagpur Invites Applications for Free Online Google Cloud Computing Foundations Course through NPTEL

Source:-dqindia.com IIT Kharagpur has invited applications from interested students for a free Google Cloud Computing Foundations course online, which will be conducted through National Programme on Technology Enhanced Learning (NPTEL) project. NPTEL is a project of the Ministry of Human Resource and Development (MHRD) initiated by seven Indian Institutes of Technology and IISc, Bangalore to provide quality education to anyone interested in learning from the IITs. The course will be conducted by Soumya K Ghosh, who is a Professor with

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Continuous Delivery Foundation adds Screwdriver to incubation toolkit

Source:-devclass.com The Continuous Delivery Foundation has recruited its first incubation project since its birth just a year ago, in the shape of container focused build service Screwdriver. Screwdriver was originally spawned at Yahoo as “simplified interfacing” for Jenkins, before it was open sourced in 2016 and “completely rebuilt to handle deployments at scale along with CI/CD goals.” According to the CDF, the project “ties directly into DevOps teams’ daily habits. It tests pull requests, builds merged commits, and deploys to

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