What is DevOps? DevOps is a software development methodology that combines software development (Dev) and IT operations (Ops) to improve collaboration, efficiency, and quality in the software development lifecycle. Why We need DevOps? We need DevOps because it allows organizations to deliver software faster and more reliably. By combining development and operations teams, organizations can Read More
Tag: deployment
Source – https://www.analyticsinsight.net/ Organisations often block their own path towards scaling by delaying innovations purely out of their loyalty to their core businesses. Unfortunately, fixed organisational structures and legacy operating models result in frailty, disabling the sight of potential market changes. Enterprises hesitate to build products or services with new technology as they are unsure Read More
Source – https://analyticsindiamag.com/ Having machine learning in a company’s portfolio used to be an investor magnet. Now, the market is bullish on MLaaS, with a new breed of companies offering machine learning services (libraries/APIs/frameworks) to help other companies get their job done better and faster. According to PwC, AI’s potential global economic impact will be Read More
Source – https://www.marketscreener.com/ Machine learning: Accelerating your model deployment Business models rely on data to drive decisions and make projections for future growth and performance. Traditionally, business analytics has been reactive – guiding decisions in response to past performance. But today’s leading companies are turning to machine learning (ML) and AI to harness their data Read More
Source: analyticsinsight.net As artificial intelligence (AI) emerges into the mainstream, there is misinformation and confusion about what it’s capable of and the potential risks it constitutes. Our culture is enriched with dystopian visions of human ruin at the feet of all-knowing machines. On the other hand, most people appreciate the potential good AI might do for the Read More
Source: devops.com Akamai today announced it is adding the ability to deploy microservices on its edge computing platform to enable developers to run latency-sensitive applications faster. David Theobald, principal product manager at Akamai, said developers can now code dynamic content assembly at the edge to create microservices on the Akamai Intelligent Edge platform that include external requests Read More
Source: analyticsinsight.ne The vast and intelligent connection of physical devices, known as the Internet of Things (IoT), is increasingly bolstering productivity and communication levels across businesses globally. This also enables various numbers of functions in enterprises. The augmenting use of IoT devices have taken both consumers and organizations by storm, unfortunately, it also possesses specific Read More
Source: analyticsinsight.net Humility in AI protects the quality of Decision systems In DataRobot, Humble AI is a new feature that protects the quality of your predictions in circumstances where the model is not confident enough. With Humble AI, users make rules for models in deployment for forecasts made in real-time. These rules recognize conditions which indicate that Read More
Source: siliconangle.com Israeli deep learning startup DeepCube Ltd., which has built software to accelerate the process of running machine learning models in the data center and on edge devices, said today it has raised $7 million in a new round of funding. The Series A round was led by Awz Ventures with participation from Koch Disruptive Read More
Source: netimperative.com Frost & Sullivan’s recent analysis, Global Big Data Analytics Market Fueling Artificial Intelligence, 2020, finds that the data security is a prime concern across sectors with the increasing deployment of the Internet of Things and proliferation of devices, which create copious amounts of data. Globally, the BDA market is estimated to grow 4.5 Read More
Source: dbta.com Surviving and thriving with data science and machine learning means not only having the right platforms, tools and skills, but identifying use cases and implementing processes that can deliver repeatable, scalable business value. However, the challenges are numerous, from selecting data sets and data platforms, to architecting and optimizing data pipelines, and model Read More
Source: sdcexec.com The global internet of everything (IoE) market is estimated to register a CAGR of 15.2% during the forecast period of 2020-2030, according to a new market intelligence report. Governments of most developed and developing countries are focusing on smart city projects to implement new technologies, which ensures optimal utilization of the available resources. The Read More
Source: theserverside.com There are plenty of new features to talk about in the world of Red Hat Runtimes. When I recently had the chance to speak with James Falkner, technical product manager for Red Hat Runtimes, he zeroed in on the Quarkus framework, or more specifically, the Red Hat branded build of Quarkus. So, what’s Read More
Source: defense.gov Ensuring that technology powered by artificial intelligence will work anywhere requires that AI is “trained” on a diverse data set that readies it for deployment anywhere in the world. That’s something the Joint Artificial Intelligence Center is well aware of as it pushes forward with the Defense Department’s AI strategy, the center’s director said. Read More
Source: betanews.com The use of microservices is succeeding for 92 percent of organizations according to new research from learning resources company O’Reilly. It surveyed over 1,500 software engineers, systems and technical architects, engineers, and decision-makers from around the globe and finds that 77 percent of respondents have adopted microservices. Microservices are clearly flavor of the month Read More
Source: swisscognitive.ch Artificial intelligence (AI) and machine learning (ML) have the power to deliver business value and impact across a wide range of use cases, which has led to their rapidly increasing deployment across verticals. For example, the financial services industry is investing significantly in leveraging machine learning to monetize data assets, improve customer experience and enhance operational efficiencies. Read More
Source: datanami.com “We were disappointed, if not surprised, to see that data wrangling still takes the lion’s share of time in a typical data professional’s day,” Anaconda wrote in its report, “2020 State of Data Science: Moving From Hype Toward Maturity.” “Data preparation and cleansing takes valuable time away from real data science work and has a Read More
Source: expresscomputer.in Cyient today announced it has joined Microsoft Azure Certified for Internet of Things (IoT), ensuring customers get IoT solutions up and running quickly with hardware and software that has been pre-tested and verified to work with Microsoft Azure IoT services. Microsoft Azure Certified for IoT allows businesses to reach customers where they are, Read More
Source: analyticsinsight.net When considering beginning your AI project, you’re likely inclined to have a blend of excitement and concern. Stunning, this can be astonishing. All the examples of success stories, the number of sales grow, income development etc. In any case, on the other hand, imagine a scenario where it turns out badly. How might Read More
Source: aithority.com Internet of Things Inc., a software and solutions provider in the artificial intelligence and industrial IoT markets, is pleased to announce that Health Canada has authorized the interim marketing and sales of its fever detection system, ThermalPass. Health Canada has done so under its fast-tracked Medical Device Establishment License (“MDEL”) application process established to help combat COVID-19. ThermalPass, Read More
Source: nzherald.co.nz Projects have fallen off his wish list during the Covid-19 response but Vodafone chief executive Jason Paris has no plans to apply the brakes to deployment of its 5G network, as the firm focuses on the “internet of things.” “It is a massive opportunity for business, offering lower latency, speed and security,” he Read More
Source: analyticsinsight.net Data Science and Machine Learning are among the most deployed and useful technologies of the current marketplace. And as the utility increases, the new wave of advancements hit the industry with more innovations in its tides. Similarly, to add an extra edge to what Data Science and ML could achieve, we now have Read More
Source: analyticsinsight.net Artificial intelligence is currently an inherent piece of our everyday lives. We don’t consider anything but seeing personalized product recommendations on Amazon or optimized real-time directions on Google Maps. The day isn’t far when we will have the option to bring driverless vehicles to take us home, where Alexa would have just arranged dinner subsequent Read More
Source: zdnet.com One of the big regulatory hurdles to the commercial adoption of drones — the kind that fly as well as the kind that roll down sidewalks and may one day deliver you a pizza — is collision safety. A small handful of safety incidents could have major consequences for adoption, and many regulatory bodies are loath to Read More
Source: infoworld.com Spell, an end-to-end platform for machine learning and deep learning—covering data prep, training, deployment, and management—has announced Spell for Private Machines, a new version of its system that can be deployed on your own hardware as well as on cloud resources. Spell was founded by Serkan Piantino, former director of engineering at Facebook and founder of Read More
Source: analyticsindiamag.com When it comes to job hunting, there is no other place than the largest professional and employment-oriented service platform LinkedIn. With hosting over 20 million active job postings, the largest hiring marketplace has been continuously developing its platform with the help of using intelligent models to optimise various processes such as job postings, job Read More
Source: sdtimes.com Google has announced a new TensorFlow runtime designed to make it easier to build and deploy machine learning models across many different devices. The company explained that ML ecosystems are vastly different than they were 4 or 5 years ago. Today, innovation in ML has led to more complex models and deployment scenarios Read More
Source: itworld.com Deploying data science into production is still a big challenge. Not only does the deployed data science need to be updated frequently but available data sources and types change rapidly, as do the methods available for their analysis. This continuous growth of possibilities makes it very limiting to rely on carefully designed and Read More
Source: itbrief.com.au Enterprise artificial intelligence (AI) provider DataRobot has enhanced its platform to include new capabilities in visual AI and automated deep learning, as well as separate capabilities for MLOps and automated time series. DataRobot’s SVP of product and customer experience, Phil Gurbacki, says the company wants to push the boundaries of what’s possible. “Subject Read More
Source: OctoML is charging ahead with its machine learning deployment software and on Friday announced a $15 million investment round to help support growth. The Seattle startup spun out of the University of Washington this past July, when it raised a $3.9 million seed round. Founded by a group of computer science experts, the company aims to Read More