August 12, 2020 bestdevops Data Storage, Data-Driven Leave a comment

Opening The Door To Innovation With Data Superpowers

Source:-forbes.com Helping your data teams do their jobs means empowering them to work efficiently and without barriers. This article looks at how AI and ML technologies can empower your teams to help your business grow, and how to make modern data analytics work for you. Last week, I celebrated my first anniversary as general manager and VP of engineering for our data analytics platform here at Google Cloud. Despite all the unprecedented experiences we’ve had this year, we’re thankful to

August 1, 2020 bestdevops DevOps Leave a comment

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

May 8, 2020 bestdevops AWS Leave a comment

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

March 12, 2020 bestdevops IT Monitoring, IT Training, IT trends Leave a comment

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

March 9, 2020 bestdevops DevOps Leave a comment

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

March 9, 2020 bestdevops Google Cloud Leave a comment

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,

March 2, 2020 bestdevops IT trends, Technology Leave a comment

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

February 28, 2020 bestdevops Datadog Leave a comment

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

February 27, 2020 bestdevops Google Cloud, IT trends Leave a comment

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

February 24, 2020 bestdevops DevOps, Google Cloud Leave a comment

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

February 21, 2020 bestdevops Continuous Delivery Leave a comment

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

January 25, 2020 bestdevops Cloud Computing Leave a comment

Cloud-Native Cognitive Computing How to Get Ready For The Next Frontier in AI

Source:-business2community.com When we talk about cognitive computing, we are referring to a set of technologies designed to mimic the way the human brain works. They work a little differently from “narrow” AI. Put simply, (narrow) AI can solve problems that humans set for it, but the system has no inherent “intelligence”. This is not to diminishes the impact of AI, which has unquestionably been put to use in great ways. Take for example the AI algorithms that are increasingly diagnosing

January 13, 2020 bestdevops IT Training Leave a comment

AutoAI: Synchronize ModelOps and DevOps to drive digital transformation

Source:-ibmbigdatahub.com Welcome to 2020. As we take a look back to reflect on the state of digital transformation in today’s businesses, we can see several key trends emerging. Growth leaders are separating themselves from growth laggards by using AI and machine learning (ML) in modern application development. Below are some statistics provided by 451 Research: Leaders invest in models for digital transformation: More than half the digital transformation leaders adopted ML compared to less than 25 percent of laggards. Furthermore,

January 13, 2020 bestdevops DevSecOps Leave a comment

DevSecOps Market know sizedustry Progresses for Huge Profits by 2023

Source:-statsflash.com In the recent times, a new trend is gaining popularity in the software development life cycle called DevSecOps. This technology bridges the gap between development, operations, and security teams to speed up the software development process through collaboration and communication among the teams. The goal of DevOps is to give more ownership to the development team for developing and monitoring applications. Security plays a key role by providing high-end security to the applications. “DevSecOps = DevOps + Security” The

January 6, 2020 bestdevops AWS Leave a comment

Ambarella shows off new robotics platform and AWS AI programming deal

Source:-venturebeat.com Chip designer Ambarella has announced a new robotics platform based on its CVflow architecture for artificial intelligence processing, and it has also signed a deal with Amazon Web Services to make it easier to design products with its chips. Santa Clara, California-based company will demo the robotics platform and the Amazon SageMaker Neo technology for training machine-learning models at CES 2020, the big tech trade show in Las Vegas next week. Recommended VideosPowered by AnyClip Amazon Threatens to Fire

December 27, 2019 bestdevops IT Training Leave a comment

Cloud News Roundup: What’s Been Happening at AWS, Google Cloud, Microsoft Azure

Source:-martechcube.com OpenX today announced that earlier this year, the company completed the migration of the OpenX Exchange onto Google Cloud Platform (GCP), becoming the first major exchange to move completely to the cloud Martech. As of Q3 2019, the entire OpenX business was moved off of all on-premise servers Martech News. The migration to the cloud positions OpenX as one of the fastest and most scalable exchanges in the industry, future-proofing its technology stack and ensuring constant optimization from the

December 5, 2019 bestdevops Cloud Computing, DevOps Leave a comment

Is AI Ready for DevOps Alert Management?

Source – it.toolbox.com DevOps requires monitoring of processes to ensure the adequate performance of systems and software. No one is going to sit in front of an updating dashboard continuously looking at system performance metrics. Likewise, and more commonly, messages or emails sent from systems or people about problems can be ignored easily. DevOps teams need systematic means of monitoring and alerts to problems as they occur. The threshold needs to be such that they see important issues immediately, without

June 11, 2019 Roushan Kumar Cloud Computing Leave a comment

How the combination of cloud and AI is influencing IT investment strategy

Source:- cloudcomputing-news.net The pace of change from a traditional capital-intensive IT infrastructure model to a more flexible hybrid multi-cloud services model is influencing enterprise spending trends across the globe. Worldwide IT spending is forecast to total $3.79 trillion in 2019 — that’s an increase of just 1.1 percent from 2018, according to the latest global market study by Gartner. IT infrastructure market development “Currency headwinds fuelled by the strengthening US dollar have caused us to revise our 2019 IT spending forecast down

April 29, 2019 bestdevops Continuous Integration Leave a comment

Attunity automates streaming data pipelines for AI, ML

Source:- itbrief.com.au. Data integration and big data management solutions provider Attunity has released an analytics platform designed to automate streaming data pipelines for AI, ML, and data science initiatives. According to Attunity, data engineering teams struggle to keep up with demand for real-time data sets for machine learning applications. In addition, data integration and migration can be a manually intensive and complex endeavour; challenging to assemble and often resulting in outdated data when it is finally ready for data scientists. Attunity

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