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Application performance is on the forefront of our minds, and Garbage Collection optimization is a good place to make small, but meaningful advancements. Automated garbage collection (along with the JIT HotSpot Compiler) is one of the most advanced and most valued components of the JVM, but many developers and engineers are far less familiar with Garbage Collection (GC), how it works and how it impacts application performance.
People have been telling me for years that Scrum is not an Agile Software Development Framework. I should have paid more attention. It's still good stuff, though.
Devops has been the subject of many IT debates since its launch. Some people have considered it to be just another marketing fad while others believe it is the next big thing in IT operations. Consequently, over the years, analysts have predicted that devops shall experience rapid growth. Nonetheless, the tool has grown steadily but hasn’t caught momentum among mainstream businesses.
While models and algorithms garner most of the media coverage, this is a great time to be thinking about building tools in data. In this post I share slides and notes from a keynote I gave at the Strata Data Conference in London at the end of May. My goal was to remind the data community about the many interesting opportunities and challenges in data itself.
Savvy B2B marketers know that a great account-based marketing (ABM) strategy leads to higher ROI and sustainable growth. In this guide, we’ll cover: What makes for a successful ABM strategy? What are the key elements and capabilities of ABM that can make a real difference? How is AI changing workflows and driving functionality? This Martech Intelligence Report on Enterprise Account-Based Marketing examines the state of ABM in 2024 and what to consider when implementing ABM software.
The O’Reilly Data Show Podcast: Andrew Feldman on why deep learning is ushering a golden age for compute architecture. In this episode of the Data Show , I spoke with Andrew Feldman, founder and CEO of Cerebras Systems , a startup in the blossoming area of specialized hardware for machine learning. Since the release of AlexNet in 2012 , we have seen an explosion in activity in machine learning , particularly in deep learning.
Businesses that use Artificial Intelligence (AI) and related technology to reveal new insights “will steal $1.2 trillion per annum from their less informed peers by 2020.” predicts Forrester Research. Although AI has been around since the 1950s, it is only recently that the technology has begun to find real-world applications (such as Apple’s Siri).
Businesses that use Artificial Intelligence (AI) and related technology to reveal new insights “will steal $1.2 trillion per annum from their less informed peers by 2020.” predicts Forrester Research. Although AI has been around since the 1950s, it is only recently that the technology has begun to find real-world applications (such as Apple’s Siri).
Working on videos isn’t always as easy as making them. Editing, converting, recreating and enhancing the videos might be a very essential task of our day to day activities but it is not always the easier one. It sounds good to have a video edited within the spur of a moment, but in reality it takes a lot of hard work, focus, dedication and concentration.
Smart Cities will become a full-scale cyber war battleground unless Congress mandates cybersecurity. The biggest danger in Smart Cities is the assumption that IoT sensors communicating over a 5G fabric to Machine Learning and Blockchain systems will be safe from cyberattacks. To the contrary Smart Cities suffer from all the cyber vulnerabilities we have today [.].
Oaths have their value, but checklists will help put principles into practice. "Oaths? We don't need no stinkin' oaths" (with apologies to Humphrey Bogart in “Treasure of the Sierra Madre”). Over the past year, there has been a great discussion of data ethics, motivated in part by discomfort over “fake news,” targeted advertising, algorithmic bias, and the effect that data products have on individuals and on society.
Welcome to the Let’s Grow Leaders Frontline Festival on the art of the tough conversation. We asked thought leaders from around the world to share their very best post on this topic. Thanks to Joy and Tom Guthrie of Vizwerx Group for the great pic […]. The post The Art of the Tough Conversation: A Frontline Festival appeared first on Let's Grow Leaders.
GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.
Even exciting product ideas can flop without an understanding of the user problem to solve. A design problem statement is an essential step in the design process for creating products that truly matter.
There's a lot of whinging going on about imposing 'Agile' methods and practices. These whiners just don't know how to do imposition correctly. Me either, but here's what I'd try.
Get a basic overview of data engineering and then go deeper with recommended resources. As the the data space has matured, data engineering has emerged as a separate and related role that works in concert with data scientists. Ian Buss, principal solutions architect at Cloudera, notes that data scientists focus on finding new insights from a data set, while data engineers are concerned with the production readiness of that data and all that comes with it: formats, scaling, resilience, security,
Have you ever wanted to take a stand, but kept quiet? Have you had a moment of bravery you found hard to explain? Where does courage come from? A Courageous Guest Post from Selvia of Glowstone Peak Karin and David asked me to share […]. The post Courage: 5 Ways to Show Up Stronger (Even When You’re Scared) appeared first on Let's Grow Leaders.
Keeper Security is transforming cybersecurity for people and organizations around the world. Keeper’s affordable and easy-to-use solutions are built on a foundation of zero-trust and zero-knowledge security to protect every user on every device. Our next-generation privileged access management solution deploys in minutes and seamlessly integrates with any tech stack to prevent breaches, reduce help desk costs and ensure compliance.
A consistent UI leads to a better UX. But with so many moving parts in modern user interfaces, how can UI designers be sure they’re staying true to a digital product’s look and feel?
Scrum Hardware: eXtreme Manufacturing Explained. by Joe Justice | July 13, 2018 | Blog. A continuously improving blast of new, high-quality products which get the marketplace excited, tests assumptions and makes money; That is the goal of Scrum Hardware. To Scrum hardware, we need fast design. The rules of Scrum give us a powerful and tested framework for new product development.
An overview of the challenges MLflow tackles and a primer on how to get started. Although machine learning (ML) can produce fantastic results, using it in practice is complex. Beyond the usual challenges in software development, machine learning developers face new challenges, including experiment management (tracking which parameters, code, and data went into a result); reproducibility (running the same code and environment later); model deployment into production; and governance (auditing mode
The Department of Homeland Security (DHS) Stakeholder Engagement and Cyber Infrastructure Resilience (SECIR) division and the National Cybersecurity and Communications Integration Center (NCCIC) are joining forces to conduct a series of unclassified, virtual awareness briefings on Russian government cyber activity against critical infrastructure. We believe this webinar will be of interest to technical teams operating [.].
Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
How do you approach machine learning problems? Are neural networks the answer to nearly every challenge you may encounter? In this article, Toptal Freelance Python Developer Peter Hussami explains the basic approach to machine learning problems and points out where neural may fall short.
Impediments of Performance Appraisals. The research on performance appraisal shows that they: Demotivate employees. 70% of content is about the manager, not the employee, and the remainder often does not accurately reflect employee performance because the manager does not really know day to day what happens (the team does). They increase damage awards in the event of lawsuits.
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].
Guest article by Glain Roberts-McCabe “She was completely whole and yet never fully complete” ?Maquita Donyel Irvin One day, I was having lunch with John, a successful CEO of a national retailer.
Over the last two years, there’s been a 76 percent increase in AI adoption across sales organizations. The reason for its rise? AI increases teams’ productivity by predicting and automating actions that require manual effort. In other words, the research that takes reps hours, AI can do in seconds. For sales teams, AI opens up a world of new possibilities, including automating outreach, identifying best-fit buyers, and keeping CRMs flush with fresh data.
Finding out your return on investment from a project can become a subjective process with the myriad of returns measures and formulas that exist. This overview provides a breakdown and explanation of what type of return you need to measure and how to calculate it. With further guidance on how to use returns data to guide objective decision making.
Our summer break continues. I once worked on a team which made "shingles"- software modules that were layered on top of a packaged product. There were a lot of WTFs in those shingles, but nothing that can compare to this once. Original -- Remy. The year was 1999 and the dot-com boom was going full-throttle. Companies everywhere were focused on building revolutionary applications using nothing but top-shelf hardware and state-of-the-art software tools.
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].
AR technology blurs the lines between the physical and digital worlds and offers a new way of interacting with customers. It has an enormous market potential that is only in the initial stages of being unlocked. This article assumes a basic understanding of AR technology, the technologies it uses, and its benefits for your business. […].
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
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Hot module replacement is one of the most useful features offered by Webpack. It allows all kinds of modules, including JSON, CSS, and JS files, to be updated at runtime without needing a full refresh. In this article, Toptal Freelance JavaScript Developer Shaojiang Cai demonstrates how to use Hot Module Replacement in Redux.
If you have been following the breathless hype of AI and ML over these past few years, you might have noticed the increasing pace at which vendors are scrambling to roll out “platforms” that service the data science and ML communities. The “Data Science Platform” and “Machine Learning Platform” are at the front lines of [.].
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].
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