Tue.Sep 17, 2019

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Why regression testing should be a shared responsibility

TechBeacon

Regression testing should be shared, either within the delivery team as a whole or between development and QA. But in too many companies, this testing is still seen as primarily QA’s problem.

Testing 74
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Facebook’s Julie Zhuo on Navigating the Leap From Individual Contributor to Force Multiplier

Gitprime

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Why DevOps is Like Football

DevOps.com

When it’s done right, DevOps is an impressive feat. You have groups of professionals all melding together as one large team working toward a common goal. The groups–and the individuals themselves–perform their roles and hand off tasks to each other at just the right times. They follow pre-designed plans, but they constantly tweak those plans, […].

DevOps 108
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Article: Strengthen Distributed Teams with Social Conversations

InfoQ Culture Methods

Yes, online meetings should result in outcomes; they should follow agendas or meeting plans and should be run efficiently. But, there is an aspect of remote team meetings that often gets overlooked—the opportunity to strengthen relationships with our team members. By Pilar Orti.

Social 40
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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How Businesses Can Get The Most Value From Artificial Intelligence

CTOvision

Gosh the short answer to this question is to read the OODA Loop. But here read Nicholas Fearn as he gives a roadmap for businesses to implement artificial intelligence on Forbes : Many businesses are experimenting with artificial intelligence but lack an understanding of the use cases that deliver real business value. That’s according to a […].

More Trending

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Artificial Intelligence Confronts a ‘Reproducibility’ Crisis

CTOvision

Read why Gregory Barber says that AI researchers are beginning to acknowledge and confront the “reproducibility” crisis, which makes it hard for others to replicate the results of AI systems on Wired : A few years ago, Joelle Pineau, a computer science professor at McGill, was helping her students design a new algorithm when they […].

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The Right Time for Businesses to Plan Digital Marketing

QBurst

Digital marketing is such a powerful means to connect with and influence potential customers that businesses can ignore it only at their own peril. But when is the right time to start planning your digital marketing activities? Right when you start planning your business! Really? What could go wrong if digital marketing is not considered at […].

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TechTalks With Tom Smith: Issues in Migrating to Microservices

Dzone - DevOps

We have issues (with migrating to microservices). To understand the current state of migrating legacy apps to microservices, we spoke to IT executives from 18 different companies. We asked, "What are the most common issues you see migrating legacy apps to microservices?

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A security practitioner's guide to software obsolescence

TechBeacon

Unlike wine and cheese, software does not get better with age—in fact, its security strength decreases over time. This is because of software obsolescence.

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Top 5 Challenges in Designing a Data Warehouse for Multi-Tenant Analytics

Multi-tenant architecture allows software vendors to realize tremendous efficiencies by maintaining a single application stack instead of separate database instances while meeting data privacy needs. When you use a data warehouse to power your multi-tenant analytics, the proper approach is vital. Multi-tenant analytics is NOT the primary use case with traditional data warehouses, causing data security challenges.

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The 4 Major Challenges of Testing Native Apps and How to Solve Them

Dzone - DevOps

Developing native mobile apps isn't as easy as you might think. Testing teams across the world testify that Continuous Integration and Delivery are a challenge when testing any mobile app — but prove even harder when it comes to testing native mobile apps.

Testing 44
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Self-Service Analytics: Classifying Data and Analytic States

Teradata

Learn how to better classify data & analytics within the analytic ecosystem by analyzing the various states of data & analytics within organizations. Read more.

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It’s Time for Data Historians to Become … History

Actian

Why a modern time-series capable database can simplify yet enhance time-series data analysis. There are many Operational Technology (OT) environments within manufacturing, oil and gas, engineering research, and countless other industries where complex equipment, machinery, and networks of sensors and devices generate time-series data. These time-series streams range from sensor data representing Pressure, Volume and Temperature to Video streams for machine vision and surveillance.

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Megaport Cloud Router 2.0

Megaport

Network connectivity has evolved far beyond traditional means. Virtualisation has flipped the way we move data between on-premises, colocation, and cloud environments on its head. It’s led to the ‘software defined everything’ reality that businesses are becoming accustomed to; whereby computing infrastructure and networks are virtualised and delivered as a service.

Cloud 40
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How to Migrate From DataStax Enterprise to Instaclustr Managed Apache Cassandra

If you’re considering migrating from DataStax Enterprise (DSE) to open source Apache Cassandra®, our comprehensive guide is tailored for architects, engineers, and IT directors. Whether you’re motivated by cost savings, avoiding vendor lock-in, or embracing the vibrant open-source community, Apache Cassandra offers robust value. Transition seamlessly to Instaclustr Managed Cassandra with our expert insights, ensuring zero downtime during migration.

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MongoDB Atlas: Not Your Parents’ Cloud Database

Datavail

MongoDB Atlas is MongoDB’s managed database-as-a-service (DBaaS). Mongo CTO and Co-Founder Eli Horowitz published a blog in June 2016 officially announcing the Atlas service as the “simplest, most robust” way to use Mongo in the cloud at deployments of many different sizes. More recently, in November 2018, Microsoft Azure announced MongoDB Atlas free tier would be available in limited regions.

Cloud 40
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Leadership reading list

Dan Pupius

A collection of essential books that meaningfully affected our team. The team here at Range are notorious book worms and we regularly get asked for recommendations. Below I’ve shared some of our favorites, intended for people interested in becoming a better leader, improving team effectiveness, and learning how to make work more humane. Fundamentals.

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5 Ways You Can Hire and Retain Top Talent for Your Company

Women on Business

We've Moved! Update your Reader Now. This feed has moved to: [link] If you haven't already done so, update your reader now with this changed subscription address to get your latest updates from us. [link].

Company 38
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Offering stable compute despite unstable cloud providers

CircleCI

Cloud provider outages are a common and unavoidable issue for us at CircleCI. One of the most common causes of boot failures for our customers is availability zone degradation, which can happen for any number of reasons, including network errors, operations failures, and zones hitting their capacity limit. For customers using our machine executor or remote Docker features, we use our cloud providers to spin up a brand new virtual machine (VM) for each executor in the build, and then throw it awa

Cloud 26
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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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Data Lake vs Data Warehouse: Fundamental Differences

Daffodil Software

In the age of digitization, data has become the real driver of businesses. The data, collected from different sources is turned into information and further into an insight that helps businesses to thrive. But, as the data flows through multiple sources, it is difficult for the traditional, relational database to handle it.

Data 24
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May I Help You Find Something? – A Journey of Enterprise Business Agility @ Target

Agile Alliance

Are you ready for your Enterprise Agility journey? Let’s take a look! Becoming Agile and getting to Enterprise Agility is a journey of incremental progress where, as with other journeys, you’ll explore, discover, experiment, and learn - at your own pace and in a way that's right for your Enterprise. In this presentation, we’ll travel together through journeys taken by Target Marketing business teams that are becoming Agile.

Agile 23
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This is Why a System of Record for Innovation is So Important

Planbox

If your innovation team is working at full capacity and your company is embracing healthy change, it is likely that you have run into problems like having trouble deciding which ideas to implement or losing track of how each plan was executed. It is also possible that your technology has undergone a digital transformation. With an increasingly growing list of innovations and changing technology, it is important that your innovation team is able to effectively search through these items and cont

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The False Claims Act: 156 years old and newly relevant to software security

Synopsys

We recently saw the first settlement by a company charged under the False Claims Act for failing to meet cyber security standards. Is there more to come? The post The False Claims Act: 156 years old and newly relevant to software security appeared first on Software Integrity Blog.

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Embedded Analytics: A Force Multiplier for Business

The possibilities for embedded analytics to drive real value for businesses, end users, and society are as fascinating as they are limitless. No matter the industry, brand after brand is finding that analytics can be the solution to a multitude of business challenges. Go deep with five insightsoftware customers as they share the details of their analytics journeys and discuss the transformative power of data.

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What is Cloud Infrastructure Optimization?

CloudZero

Cloud infrastructure refers to both hardware and software components—ranging from servers to storage to networking and virtualization software—that are required to support cloud computing. Thus, cloud infrastructure optimization refers to optimizing these components for: efficiency, performance, and cost.

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Why Are Robotics Companies Dying?

CTOvision

Read Ronald Schmelzer’s article about the demise of Robotics companies: Many AI companies are flush with cash and raising money at increasingly eye-watering levels and valuations. How could it be that these robotics firms, run and operated by some of the most celebrated people in the AI industry could be failing when seemingly less-compelling solutions […].

Company 21
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An Array of Possibilities: A Guide to Ruby Pattern Matching

Toptal

Pattern matching is a powerful tool commonly found in functional programming languages. The Ruby 2.7 release is going to include this feature. In this article, Toptal Ruby Developer Noppakun Wongsrinoppakun provides a breakdown of what this addition will include and why it matters.

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20 terrifying uses of artificial intelligence

CTOvision

Many advances in artificial intelligence are innovative and extraordinary, but some are downright creepy. Here are 20 of the eeriest ways people are using or could use AI. Nautilus is a supercomputer that can predict the future based on news articles. It is a self-learning supercomputer that was given information from millions of articles, dating […].

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“Build vs Buy Analytics?” The Question ALL SaaS Leaders Need to Answer in 2024

As a SaaS leader, you know that the more metrics, insights, and analytics you add to your products, the more engagement you’ll have – and the stickier your product will become with customers. At what point do you decide to keep building your analytics in-house or invest in an embedded analytics solution? Read our Build vs. Buy Analytics guide to learn: Top 4 benefits of embedded analytics A quick cost comparison of in-house analytics development vs embedded analytics 10 considerations to help yo

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GitLab Outlines Scope of DevOps Ambitions

DevOps.com

At the GitLab Commit event in New York today, GitLab launched an ambitious effort to extend the scope of its DevOps platform to provide a view into the software development life cycle for not just developers but also designers, product managers and business leaders. Fresh off raising an additional $268 million in funding, GitLab now […]. The post GitLab Outlines Scope of DevOps Ambitions appeared first on DevOps.com.

DevOps 19
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Artificial intelligence: The future IT help desk

CTOvision

Read why Scott Matteson says that artificial intelligence is the future on Tech Republic : As a system administrator working in technology for more than 25 years, I’ve provided some measure of IT support. While it’s rewarding to help people, sometimes the monotony in doing so can lead to feeling unfulfilled, especially when there are […].

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You Can Get More … Satisfaction

Cutter Consortium

Cutter Consortium has been conducting a survey to gain insight into how organizations are adopting CX management practices and technologies and what they see as the possible impacts on their businesses. Senior Consultant Curt Hall has been analyzing the data and interviewing leaders and practitioners who are implementing, or working to implement, CX practices and technologies.