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All Blog Posts Tagged 'dsc_devops' (48)

The Top 5 Reasons Why Most AI Projects Fail

Due to the pandemic, most businesses are increasing their investments in AI. Organizations have accelerated their AI efforts to ensure their business is not majorly affected by the current pandemic.

Though the implementation is a positive development in terms of AI adoption, organizations need to be aware of the challenges in adopting…

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Added by Jaimin Dave on September 9, 2021 at 5:00am — No Comments

What is DevOps and How can it give a Boost to Software Development?

Developing and implementing software in today’s fast-paced business environment requires the best software development techniques and solutions to ensure your customers get the best service and experience while using your software. …

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Added by Varun Bhagat on September 8, 2021 at 2:33am — No Comments

Why enterprises must not ignore Azure DevOps Server

Azure DevOps is the successor to Team Foundation Server (TFS) and is said to be its advanced version. It is a…

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Added by Bharat GHode on September 3, 2021 at 12:00am — No Comments

Using Automated Builds in ModelOps

In this installment of the ModelOps Blog Series, we will transition from what it takes to build AI models to the process of deploying into production. Think of this as the on ramp for extracting value from your AI investments—moving your model out of the lab and into an environment where it can provide new insights for your organization or add value…

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Added by Clayton Davis on August 17, 2021 at 7:00am — No Comments

PLM as a backbone for Disruptive Digital Thread

Product complexity is on the rise. Manufacturers need to understand customer requirements, define, and design products, collaborate with global designers and suppliers, ensure material feed and recipe integration, use varied manufacturing techniques, seek regulatory approvals, make processes and products sustainable, keep pace with shorter product…

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Added by Vinaksh on July 14, 2021 at 9:30pm — No Comments

Why the Feature Store Architecture is so Impactful for ML Teams

What is a Feature Store?

Machine learning is such a new field that a mature industry-wide standard practice of operations has not yet emerged, like there has been in software development for the past 20 or more years. An ML…

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Added by Alexandra Joseph on July 7, 2021 at 12:30am — No Comments

Model Experiments, Tracking and Registration using MLflow on Databricks

Learn how StreamSets, a modern data integration platform for DataOps, can help expedite operations at some of the most crucial stages of Machine Learning Lifecycle and MLOps.

Data Acquisition And…

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Added by Dash on July 1, 2021 at 10:30am — No Comments

Transform Legacy Apps to Microservices using the DevOps Approach

The digital transformation is driving organizations to modernize their legacy systems and apps. With the pace of change in the tech industry, modern organizations are experiencing the urgency to migrate from legacy apps to microservices to enhance digital customer experience. So now, more than ever, migration of legacy apps is crucial for…

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Added by Bharat GHode on July 1, 2021 at 2:00am — 1 Comment

Top Eleven Skills to Look Out For While Hiring DevOPS Engineer

Companies that incorporate DevOps practices get more done. It is as simple as that. The technical benefits include continuous delivery, easier management, easier to manage, and faster problem-solving. In addition to this, there are cultural benefits like more productive teams, better employee engagement, and better development…

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Added by Amit Dogra on June 21, 2021 at 7:30pm — 1 Comment

Model-centric to Data-centric AI - Am I Missing Something?

 

Introduction

Andrew Ng is a key reference point for me in understanding AI.

Andrew Ng is always easy to understand – especially…

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Added by ajit jaokar on June 13, 2021 at 4:30am — No Comments

DevSecOps: Top Best Practices

The efforts to find means and solutions to enable safe and quick development of software have led us to the doorstep of DevSecOps. But what is it exactly? Well, to put it simply, the integration of security into DevOps practices is what one now calls DevSecOps. The premise is this: You integrate monitoring, testing, and reporting into the continuous…

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Added by Ryan Williamson on June 7, 2021 at 3:30am — No Comments

DevOps Trends 2021: DevOps Enters a New Decade with the Hottest Trends

Have you heard IDC's latest predictions on DevOps? According to this study, the DevOps market expects to grow from $2.9 billion to $8 billion by 2022. According to the experts, it is set to dominate the new decade by offering more excellent benefits to developers and users. Organizations are more likely to adopt DevOps…

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Added by OLIVIA CUTHBERT on June 4, 2021 at 4:30am — 3 Comments

DevOps Trends 2021: DevOps Enters a New Decade with the Hottest Trends

Have you heard IDC's latest predictions on DevOps? According to this study, the DevOps market expects to grow from $2.9 billion to $8 billion by 2022! According to the experts, it is set to dominate the new decade by offering more excellent benefits to developers and users. Organizations are more likely to adopt DevOps…

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Added by OLIVIA CUTHBERT on June 4, 2021 at 4:30am — No Comments

MLOps: Comprehensive Beginner's Guide

MLOps, AIOps, DataOps, ModelOps, and even DLOps. Are these buzzwords hitting your newsfeed? Yes or no, it is high time to get tuned for the latest updates in AI-powered business practices. Machine Learning Model Operationalization Management (MLOps) is a way to eliminate…

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Added by Oleksandr Tyron on April 13, 2021 at 2:30am — No Comments

DataOps: Building an Efficient Data Ecosystem

Data is more present and more powerful…
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Added by Olha Zhydik on April 5, 2021 at 7:30am — No Comments

Maximizing Data Use and Reducing Pitfalls: Putting the Right Data Preparation Process in Place for AI

Welcome to the first installment in our series on ModelOps. This blog focuses on the importance of Data Gathering and Preparation in support of your AI projects and avoiding the common pitfalls.

Data is the heart of every AI investment, but data is not a monolithic concept. It comes in many different forms and sizes. For example, your data may…

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Added by Clayton Davis on March 17, 2021 at 1:00pm — 1 Comment

How to Begin Using DevSecOps for your Team

Image source

As software developers, we are responsible not only for ensuring that all the features we program into our apps work as designed, we also need to make sure our code base is free from bugs and…

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Added by Data Geek on March 3, 2021 at 6:30am — No Comments

Operationalizing AI – Introduction to the ModelOps Pipeline

Artificial Intelligence (AI) is all the buzz with everyone looking for ways to leverage AI in some capacity within their organization. Whether you’re running a business focused on insurance, construction, or anything in between, the list of companies adding AI or Data Science teams to help their business succeed is growing every day. Unfortunately for…

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Added by Clayton Davis on March 3, 2021 at 5:30am — No Comments

Complete Life Cycle of A Data Science Project

Science is a very crucial and important part of our lives nowadays, through which we can solve any difficulties in our lives. However, we only know little about how science has to go through many problems of its own. In order to apply this science…

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Added by Shekh Sadli Al Zadid on February 16, 2021 at 8:00am — No Comments

ModelOps vs. MLOps

Decisions organizations make today about building their AI pipelines will have major impacts on the future of AI maintenance for their organizations. But is everyone thinking about the future?

The path taken today could impact the ability to add new functionality in the future or require starting from scratch. In order to build the right AI…

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Added by Kirsten Lloyd on January 25, 2021 at 9:00am — No Comments

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