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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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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GitHub Releases ML-Based “Good First Issues” Recommendations

Source:-infoq.com GitHub shipped an updated version of good first issues feature that uses a combination of both a machine learning (ML) model that identifies “easy” issues and a hand curated list of issues that have been labeled “easy” by project maintainers. New and seasoned open source contributors can use this feature to find and tackle easy issues in a project. In order to eliminate the challenging and tedious task of labelling and building a training set for a supervised ML

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From DevOps to MLOps: The evolution of DevOps

Source:-itproportal.com Luca Ravazzolo explains how the evolution of DevOps is likely to continue, with potential far beyond its current form. The introduction of DevOps has had a profound effect on developers and the IT industry, completely changing mindsets with concepts like continuous integration and continuous delivery now much more commonplace. Over the last few years, DevOps has matured, becoming more mainstream and widely adopted, and this has led to a gradual evolution of the approach. During this time, DevOps has

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Security Predicted to Improve in Devops Teams

Source:-infoq.com After uniting development and operations to ship more code faster, DevOps teams are set to handle security as another major obstacle to overcome. Contrary to DevOps processes, many current security controls are either not completed or managed as gates that DevOps teams must go through instead of integrating processes together. The prediction by Gartner analysts is that the number of teams adding security into DevOps will increase from 40% today to about 90% by 2022. There are multiple benefits

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dotData Achieves AWS Machine Learning Competency Status

Source:-aithority.com Company Achieves Milestone Just Eight Months After Joining the AWS Partner Network, Proving Technical Validity and Customer Success of dotData’s AutoML 2.0 Platform dotData, focused on delivering full-cycle data science automation and operationalization for the enterprise, announced that it has achieved Amazon Web Services (AWS) Machine Learning (ML) Competency status. dotData achieved AWS ML Competency status only eight months after joining the AWS Partner Network (APN). The certification recognizes dotData as an APN Partner that accelerates the full-cycle ML

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Five Technology Trends to Shape Future Investments

Source:-techrepublic.com Humans invented technology to introduce innovative products in the market. Technology’s relentless cycle of innovation has now touched humanity, redefining what it means to be a human, a meaningful change that is impacting business priorities and is expected to do so in the future. The most important tech investment for C-level executives relates to digital transformation, artificial intelligence (AI), Internet of Things (IoT) and cybersecurity. With 71% of the world expected to use mobile phones by 2024 and the

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Hosting applications in the cloud for business agility

Source:-dqindia.com The term ‘cloud computing’ which started as a buzzword in the early 2000s is starting to truly come of age. As per Gartner, the worldwide public cloud service market is expected to reach a massive $331.2 Billion in 2022, growing at a compound annual growth rate (CAGR) of 12.6% since 2018. One of the key drivers for cloud is the agility and the cost benefits it brings to the organization. Cloud enables organizations to respond faster to the changing

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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,

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Wayfair expands Google Cloud deal for hybrid cloud strategy

Source:-zdnet.com Ahead of NRF, Google Cloud announced a win with Wayfair to expand its hybrid cloud efforts. Wayfair is ramping its hybrid cloud strategy with a bet on Google Cloud Platform. SPECIAL REPORT Data, AI, IoT: The Future of Retail (free PDF) Data, AI, IoT: The Future of Retail (free PDF) This ebook looks at the rise of e-commerce and the digital transformation of retail companies. Read More The win for Google Cloud is significant since it highlights inroads to

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Datadog digs deeper into infrastructure

Source:-devclass.com Monitoring tool company Datadog has enhanced its Watchdog engine to provide insight into the health and performance of infrastructure components. The new addition promises to work with products like Redis or Amazon Web Services without requiring a special setup. Watchdog was introduced in July 2018 to find anomalies like spikes in the APM metrics hits, error rate, and latency. This is done through machine learning approaches like anomaly and outlier detection, as well as forecasting algorithms. The tool compiles

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What 2020 will bring for software development

Source:-jaxenter.com The rising popularity of microservices-based applications is driven by the agility and velocity benefits realized by software development teams. But these benefits are not for free (“free as in beer”); orders of magnitude more application services changing more frequently and independently creates complex surface areas that risk quickly descending into chaos. What’s a development team to do? In 2020, three development trends will surface as development teams gain the upper hand on this complexity. SEE ALSO: Why Kubernetes and

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GET STARTED WITH KUBERNETES — WHETHER YOU’RE AN IT PRO OR NEWBIE

Source:-techgenix.com Kubernetes is an open-source container orchestration platform created to automate the scaling, deployment, and management of containerized applications. Google engineers Joe Beda, Brendan Burns, and Craig McLuckie developed this platform before it was open-sourced in mid-2014. Now, it is maintained by the Cloud Native Computing Foundation (CNCF), backed by major tech giants like Google, Microsoft, AWS, Intel, Red Hat, IBM, and Cisco. Many cloud services offer a Kubernetes infrastructure as a service (PaaS or IaaS). In his article, we

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The Cloud infrastructure race who is better: AWS or Azure?

Source:-techiexpert.com The dawn of cloud computing has proven to be an essential event in this digital era. Having an on-site data centre is not a necessity now. It has led to substantial cost savings and improved agility for organizations. A new model of business has emerged called the Infrastructure-as-a-service (IaaS) model. Here a third-party service provider takes care of providing hosting, maintaining core infrastructure which includes hardware, software, storage and servers for the customer. Tech behemoths like Amazon, Microsoft and

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Solving the Data Explosion with Fog and Edge Computing

Source:-cdotrends.com As the number of IoT devices continues to increase – a predicted 75 billion by 2025 to be exact – so do data requirements. In fact, it’s estimated that IoT will generate more than 500 zettabytes of data per year by the end of 2019. To create an environment where IoT devices and applications are seamlessly connected to one another, and their end-users, sufficient computational and storage resources are needed to perform advanced analytics and machine learning, which the

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10 LEADING COURSES & TRAINING PROGRAMMES FOR CLOUD COMPUTING IN INDIA: 2019

Source:-analyticsindiamag.com Cloud computing is the future of every organisation. The technology offers a solution which helps organisations in managing data, without the problem of a mandatory physical presence. It provides a combination of hardware and software hosted on the internet to store, manage, and process our data. Few of the industry tech giants involved in the cloud computing industry are — Amazon, Google, IBM, and Microsoft, however, there are now several startups who are providing seamless cloud computing services. To

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Gartner, Splunk & McKinsey – IT Infrastructure & Operations Predictions For 2020

Source:-forbes.com Automation Strategy Rethink Hybrid IT Versus Disaster Recovery (DR) Confidence Scaling DevOps Agility Infrastructure Is Everywhere — So Is Your Data Overwhelming Impact of IoT Distributed Cloud Immersive Experience Democratization of IT Networking — What’s Next? Hybrid Digital Infrastructure Management (HDIM) Splunk also published its list, which looks like this: AI/ML/NLP Blockchain IoT/5G Dark Data IT Security Social Engineering Critical Infrastructure Cloud Security Threat Intelligence IT Operations Automation UX/Consumerization McKinsey also has a list: Today In: Innovation “As-a-Service” Consumption

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AI in the cloud: AWS makes machine learning more accessible for developers

Source:-siliconangle.com Amazon Web Services Inc.’s re:Invent conference is still nearly a week away, but you wouldn’t know it from the sheer number of new products and updates its announced in recent days — especially in artificial intelligence, likely to be a key focus of the conference. Following last week’s storage announcements and its “internet of things” updates on Monday, AWS today introduced new features aimed at making it easier for developers to add AI predictions to their applications and services.

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