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Artificial intelligence. Just hearing the phrase has been a trigger for many in the technology world since that creepy Haley Joel Osment film circa 2001. But more recently, artificial intelligence and machine learning strike fear into the hearts of skilled workers for an entirely different reason: job security, or lack thereof.

Smart-home devices, streaming services, self-checkouts, even Google searches are ways that artificial intelligence has seeped into everyday life, exemplifying the abilities of computers and machines to master both simple and complex tasks. In some instances, these technological advancements make our lives easier, but for some people, their proliferation has meant job loss and skill replacement. There’s no wonder that when artificial intelligence starts being mentioned along with web design and site creation, the spidey senses of designers all over the world start tingling.

designers think outside the box, something that AI just can’t do

But let’s get real about what AI and automation really mean for designers for a second. Talented designers with busy schedules should view these advancements as virtual assistants. For some small businesses on a limited budget, the websites that artificial intelligence can pump out might be fine…for a while. However, as businesses grow, change, require updating and customization to adapt to their customer base, the expertise of creative and talented designers will always be needed. Even the best AI that we see today is limited by evaluating, replicating, and revising what already exists. It may be able to mix 1,000 different color schemes into 10 million potential combinations, but great designers think outside the box, something that AI just can’t do.

In fact, rather than being scared of automation, designers ought to embrace automation and artificial intelligence as a way to unleash their creative thinking. Delegate repetitive, straightforward tasks to the right software, and suddenly you have time to bring your best ideas to the table and push the boundaries of your own innovation. 

Where AI has Failed in Design

The ultimate goal of artificial intelligence and automation in design work is a grand vision that has yet to be realised.

Consider the case of The Grid, which began as a crowdfunding campaign in 2014. The “revolutionary” product posed itself as an artificial intelligence solution for building thoughtfully, yet automatically, designed websites in five minutes. Research “Reviews of the Grid” in any search engine and you’ll be met with scathing criticism with only some small praise sprinkled in. Most of the initial users cite underwhelming results, the feeling of being duped by the Grid’s marketing tactics, nonsensical placement of text, and ultimately, the Grid being a complete waste of money for the resulting product. Even at the low cost of $100, compared to hiring a talented designer, most users felt their investment was wasted.

For the AI capabilities that exist now, most small business owners, or those looking to put together a simple website, are better off using drag and drop site builders (Wix, Squarespace, Weebly, etc) that have been around for ages. Even so, there are plenty of businesses still willing to hire designers to take this simple task off their plate due to a lack of technical expertise or lack of time. And let’s be honest, are there even enough talented (keyword here!) designers out there to keep up with the millions of websites created every year, without each one working themselves to death? 

Where Automation Shines for Designers

Fortunately for good designers, it appears for now that the days of artificial intelligence completely taking over their jobs is a fantasy. However, what AI and automation do offer designers is a solid starting point for success, eliminating much of the lower-level grunt work that most designers would rather skip anyway.

Even well-received AI website builders like Firedrop still require a basic eye for design and specialised knowledge to produce truly unique, high-converting, and user-friendly websites. Tools and practices that designers should adopt are the artificial intelligence and automation resources that will help them do their jobs better, faster, and leave them with more time to focus on project elements that AI cannot accomplish on its own.

Bridging the Gap Between Designers and Developers

Well-established brands are likely to already have design systems in place that guide the creation of new elements across their digital profiles whether on social media, various mobile apps, or different sections of a website. But even in large corporations — excepting those who have perfected the process — there’s often a breakdown between a designer’s vision and resulting product from the developers. It stems from the basic difference in how they each approach their work and the limitations of the systems they use.

While component libraries — or even full design systems for that matter — won’t reconcile every question, they provide both developers and designers a source of truth to work from that both parties can understand. Design collaboration tools like Invision and Visme, specifically, keep designers and developers on the same page with automated version saving and code-friendly workflows.  

Understanding the Consumer

I don’t suggest using artificial intelligence to produce content for your site

Digging into and understanding the behaviours and habits of site users is a relatively new component of site design, but offers invaluable insights. Tools like HotJar, Mouseflow, or Smartlook make it simple to see holes or leaks in your conversion funnels, detect which page elements users are interacting with, and which they’re not interested in to refine the look and feel of a page for maximum conversions. Even though these tools provide the data, it still takes a keen eye and understanding of design to implement the right changes to improve site performance.

Site content is another way that artificial intelligence has the potential to improve our understanding of customer behaviour and improve site performance for individual users. I don’t suggest using artificial intelligence to produce content for your site, no matter how much the results have improved. However, static landing pages or a single set of further reading recommendations are unlikely to appeal to the majority of site visitors. Artificial intelligence tools like CliClap and Personyze instantly collect and analyse consumer data to provide dynamic, personalised experiences that drive more leads and encourage conversions. Creative designers will also learn from this data to improve customer experience with other pages or elements throughout the site.

Removing Distracting, Time-Sucking Administrative Tasks

Because “artificial intelligence” has become a term with such negative connotations, we often overlook the simple way that AI actually makes our work lives better and easier. Machine learning in email filtering is a great example of this. Consider a simple interface like a Gmail inbox. We have the option to mark certain senders as spam or as important, and our inbox learns that type of communication is and isn’t useful to the user. Pandora, Spotify, Apple Music, and more all take cues from the user behaviour of liking a certain song, artists, or genre of music to build customised playlists. There are a myriad of ways that artificial intelligence and its branches of disciplines merge with our everyday lives. 

Some of the most useful automations for business, and especially for designers, are related to the administrative tasks that frequently take time away or distract from more pressing projects. A perfect example of automation that can relieve stress and cut down on mindless work is an email autoresponder. I’ve always found that having time blocked off in my calendar to tackle complex or important projects helps me to focus on the task at hand and be more efficient. In order to more effectively block out my time, closing my email and setting an autoresponder to reply to all incoming emails serves two purposes: 

  1. Lets those trying to get in touch with me know that I only check my email at certain times of the day and that my response may not be immediate — tempering their expectations of when they might hear from me.
  2. Relieves my personal stress of being tethered to my inbox, splitting my focus, and also saves the time of having to initially respond to each email individually. 

This is just one simple way to use automation in your email, although there are many others to explore.

While Zapier isn’t the only workflow automation service on the market, it’s probably the most well known. Workflow automation reduces time spent on mind-numbing, repetitive tasks and helps designers connect apps that might not natively work together. Do you keep a task list in Todoist? Set up a Zap, then create a task in Todoist anytime someone mentions you on Asana or assigns you a task in Trello.

This is especially helpful for freelance designers who work with multiple clients across various project management platforms. The potential for automation to relieve unnecessary mental overhead for designers is nearly limitless.

Don’t be Afraid of AI, Embrace It

The bottom line of this brief overview of artificial intelligence and automation in design is that this emerging technology isn’t something designers should be scared of. In fact, it’s something to welcome with open arms because ultimately it can make our jobs, and our lives, better. Leave the monotonous tasks of collecting and analysing huge amounts of data or administrative minutiae to the machines; they can handle it.

Save the interesting, creative, abstract work for the talented designers who can turn AI recommendations into unique and intuitive digital experiences. Making the relationship between artificial intelligence and design symbiotic will yield the best results for every entity involved: the business, the AI, and yes, even the designer.

 

Featured image via Unsplash.

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This article mainly introduces how to migrate your data from Neo4j to Nebula Graph with Nebula Graph Exchange (or Exchange for short), a data migration tool backed by the Nebula Graph team. Before introducing how to import data, let’s first take a look at how data migration is implemented inside Nebula Graph.

Data Processing in Nebula Graph Exchange

The name of our data migration tool is Nebula Graph Exchange. It uses Spark as the import platform to support huge dataset import and ensure performance. The DataFrame, a distributed collection of data organized into named columns, provided by Spark supports a wide array of data sources. With DataFrame, to add new data source, you only need to provide the code for the configuration file to read and the Reader type returned by the DataFrame.

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HUAWEI Account Kit offers very simple, quick, and secure sign-in and authorization functionalities which help developers to implement hassle-free and quick sign-in functionalities for applications.

HUAWEI Account Kit offers services on different parameters as

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AI has been a revolutionary technology in the Tech world. The demand for artificial intelligence-related professions is increasing at an incredibly rapid rate. Similarly, the demand for an Azure AI Engineer is on buzz and at an all-time high. Many other AI-concerned accreditations could also be good alternatives for IT professionals. But, MS Azure assures a rapidly growing Artificial Intelligence landscape with innovative service offerings and advanced technologies. Hence, the demand for Microsoft Azure AI Engineer Associate Certification has increased to a large extent over the past few decades.

The future platform of the IT accreditation, AZURE AI mainly assists you to scrutinize AI services which count bots, agents, language, vision, speech, by adopting knowledge mining, cognitive services, and machine learning. AI solutions are required to satisfy scalability and performance to meet end-to-end solutions, for that we need to have advanced technologies and tools for analyzing and recording timely operation. 

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As you already know, TestNG or Test Next Generation is one of the most frequently used automation testing frameworks in Java. Inspired by JUnit and NUnit, Cedric Beust created TestNG with the idea of covering almost all types of testing models, be it functional or end-to-end. The annotations, functionalities, usability, features, and ease-of-use make TestNG a very popular choice of framework. Listed below are some of the major benefits of using TestNG-


Stack ranking is natural human behavior 

I have a buddy from high school named Murph. His real name is Ben Felt but every legit teenage crew in Pitsford, New York in the 90s needed a Murph so Ben took one for the team.

He’s a quant. Like Taylor Mason from the show Billions.

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In this time of global economic turmoil, it’s more important than it’s ever been that your financial decisions are based on accurate, up-to-date, market information.

In a world where stock price is a key confidence marker, the businesses that attract attention, secure investment, and grow, are the ones that can demonstrate their value in a wider market.

Up to now, displaying accurate market pricing has been prohibitively expensive, needing direct access to a huge dataset, and the code to mine it. So we’re delighted to introduce marketstack, a real-time market data API that’s reliable, simple to integrate with your site or app, is lightning fast, and includes a free-forever plan.

What is marketstack?

marketstack is a REST API that allows you to access stock data for public companies at 72 global exchanges including the New York Stock Exchange, the Nasdaq, the Tokyo Stock Exchange, and the London Stock Exchange.

marketstack delivers real-time market data, accurate to a single minute, ensuring that the information you base your decisions on, and the information you pass on to your customers, is always up to date.

There are more than 125,000 stock tickers, from over 50 different countries; you can query stocks, or over 75 different market indices; intraday market data is included, meaning you can monitor trades that close at the end of the day; you can even retrieve data about time-zones and international currencies.

Why Choose marketstack

marketstack uses cutting-edge technology to deliver market data in an easy-to-integrate JSON format, which is lightweight and incredibly easy to dig into.

Requests are made via a simple HTTP GET call, and all requests are run through bank-quality 256-bit HTTPS encryption. Whatever code stack you’re using, whether it’s PHP, Python, Node, or plain old JavaScript, marketstack provides comprehensive documentation to get your team up to speed in mere minutes.

The highly reliable cloud infrastructure can handle anything from a few dozen requests per year, all the way up to millions of requests per day. Regardless of the scale of your project, marketstack is robust and flexible enough to handle it.

It’s Not Just About Money

marketstack isn’t just about the bulls and bears of markets, in the tech sector specifically, stock price is an indicator of wider business trends and performance.

When Apple became the first US company to reach a $2 trillion valuation, not only was its stock price central to the story, but it indicated a trend in the tech giant’s dominance that went beyond cold hard cash.

When an eccentric billionaire makes outrageous, and ill-judged comments, and tanks his company’s valuation, the fluctuations in stock price are a big part of the story.

Beyond the spin of politicians, the market index of different exchanges is an indication of what analysts with in-depth knowledge really think during an election campaign.

With over 30 years of historical data, marketstack is a history of business, particularly the burgeoning tech sector, and makes that history available with a simple to use API.

marketstack’s Rock Solid API

marketstack’s API is built on top of apilayer technology, one of the most respected, and trusted API providers in the world, with a huge amount of experience delivering data reliably. Millions of API requests can be run through the API hourly, and it still has almost 100% uptime.

Any API is only as good as the data it supplies, and marketstack’s data is supplied by numerous high-authority providers around the globe, resulting in unprecedented accuracy.

As a result, marketstack is trusted by over 30,000 companies — including Microsoft, Amazon, Uber, and Credit Suisse — and 80+ universities.

Getting Started with marketstack

marketstack is entirely free for up to 1000 requests per month, with access to 1 year of historical data, as well as end-of-day data. No credit card is required to get started, and you’ll never be billed. This is the perfect option for simple integrations, or developers working on proof-of-concept builds. What we really like about marketstack is that the free package is genuinely usable. It’s not just a trial version that presses you into upgrading.

For anyone who needs more comprehensive data, packages that include market indices, technical support, and commercial use permissions, start at $9.99 per month, or just $7.99 per month when billed annually.

Head over the marketstack today to claim your free API key, and get started.

 

[– This is a sponsored post on behalf of marketstack –]

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Google resembles an iceberg: there’s the part above the water we can see and use everyday; there’s also the part beneath the water, that we don’t see and know little about.

While many of us are concerned about the aspects of Google we don’t see — the parts that threaten our privacy, or monopolize the web — there’s no denying that Google offers some amazing products and tools, many of them free, all from the convenience of a single login.

Today we’re going to take a look at 12 tools from Google that really do bring something positive to the table.

1. Polymer

Polymer is an open-source JavaScript library from Google for building web applications using Web Components. The platform comes with a ton of libraries and tools to help designers and developers unlock the web’s potential by taking advantage of features like HTTP/2, Web Components, and Service Workers. 

The main feature of Polymer is Web Components. With Web Components, you can share custom elements to any site, work seamlessly with any browser’s built-in elements, and effectively use frameworks of all kinds. Products like LitElement (a simple base class for creating fast, lightweight web components) and PWA Starter Kit make Polymer easy to use. If you like, you can build your app entirely out of Web Components.

2. Lighthouse

Google Lighthouse is an open-source, automated tool for improving the quality of web pages. The software allows you to audit web pages for performance, SEO, accessibility, and more. You can run Lighthouse using ChromeDevTools, directly from the command line, or as a Node module. 

To use Lighthouse in Google Chrome, just go to the URL you want to audit (you can audit any URL on the web), open ChromeDevTools, and click the Audits tab. After you have run the audit, Lighthouse will give you an in-depth report on the web page. 

With these reports, you will see which parts of your web page you need to optimize. Each report has a reference doc that explains why that audit is important and also shows you the steps you can take to fix it. 

You can also use Lighthouse CL to prevent regression on your sites. Using Lighthouse Viewer, you can view and share reports online. You can also share reports as JSON or GitHub Gists. 

Lighthouse also comes with a feature called Stack Packs that allows Lighthouse to detect what platform a site is built on. It also displays specific stack-based recommendations.

3. Google Analytics

Google Analytics is the gold standard of analytics services. Google analytics can be installed on your site for free with a small amount of JavaScript and allows you to see all kinds of details about your site visitors, like what browser they’re using, and where they’re from.

By using Google Analytics you can make decisions about your site based on science, and therefore be somewhat confident that the decisions you make will result in the outcome you are expecting.

4. Flutter

Flutter is Google’s UI toolkit for building natively compiled applications for mobile, web, and desktop from a single codebase. The toolkit is open source and free to use. The best part of Flutter is that it works with existing code. 

The toolkit has a layered architecture that allows for full customization, which results in fast rendering and flexible designs. It also comes with fully-customizable widgets that allow you to build native interfaces in minutes. With these widgets, you will be able to add platform features such as scrolling, navigation, icons, and fonts to provide a full native performance on both iOS and Android.

Flutter also has a feature called hot reload that allows you to easily build UIs, add new features, and fix bugs faster. You can also compile Flutter code to native ARM machine code using Dart native compilers. 

5. Google API Explorer

Google has a huge library of APIs that are available to developers but finding these APIs can be difficult. Google API Explorer makes it easy for developers to locate any API. On the Google API Explorer web page, you will see a complete list of the entire API library. You can easily scroll through the list or use the search box to filter through the API list. 

The best part of Google API Explorer is that each link to a reference page comes with more details on how to use the API. API Explorer is an excellent way to try out methods in the Monitoring API without having to write any code.

6. Puppeteer

Puppeteer is a project from the Google Chrome team. The platform enables web developers to control a Chrome (or any other Chrome DevTools Protocol based browser) and execute common actions, much like in a real browser. Puppeteer is also a Node library and it provides a high-level API for working with headless Chrome. It is also a useful tool for scraping, testing, and automating web pages. 

Here are some things you can do with Puppeteer: generate screenshots and PDFs of pages, UI testing, test Chrome Extensions, automate form submission, generate pre-rendered content, and crawl Single-Page Applications. 

7. Codelabs

Google Developer Codelabs is a handy tool for beginner developers and even advanced developers who want to improve their knowledge. Codelabs provide a guided, tutorial, hands-on coding experience. Codelabs’ site is broken down into several tutorial sessions on different topics. 

With the tutorials on Codelabs, you can learn how to build applications from scratch. Some of the tutorial categories include Augmented reality, TensorFlow, Analytics, Virtual Analytics, G Suite, Search, Google Compute Engine, and Google APIs on iOS. 

8. Color Tool

Color Tool makes it easy for web designers to create, share, and apply colors to their UI. It also measures the accessibility level for any color combination before exporting to the palette. The tool comes with 6 user interfaces and offers over 250 colors to choose from. 

The tool is also very easy to use. All you need to do is pick a color and apply it to the primary color scheme; switch to the secondary color scheme, and pick another color. You can also switch to Custom to pick your own colors. After you have selected all your colors, use the Accessibility feature to check if all is good before exporting it to your palette. 

9. Workbox

Workbox is a set of JavaScript libraries and Node modules. The JavaScript libraries make it easy to add offline support to web apps. The Node modules make it easy to cache assets and offer other features to help users build Progressive Web Apps. Some of these features include pre-caching, runtime caching, request routing, background sync, debugging, and greater flexibility than sw-precache and sw-toolbox. 

With Workbox, you can add a quick rule that enables you to cache Google fonts, images, JavaScript, and CSS files. Caching these files will make your web page to run faster and also consume less storage. You can also pre-cache your files in your web app using their CLI, Node module, or webpack plugin. 

10. PageSpeed Insights

PageSpeed Insights is a handy tool from Google Developers that analyzes the content of a web page, then generates suggestions on how to make the page faster. It gives reports on the performance of a web page on both desktop and mobile devices. At the top of the report, PageSpeed Insights provides a score that summarizes the page’s performance. 

11. AMP on Google

AMP pages load faster and also look better than standard HTML pages on mobile devices. AMP on Google allows you to enhance your AMP pages across Google. It is a web component framework that allows you to create user-first websites, ads, emails, and stories. One benefit of AMP is that it allows your web pages to load almost instantly across all devices and platforms hence improving the user’s experience. 

12. Window Resizer

When creating websites, it is important that developers test them for responsive design – this is where Window Resizer comes in. Window Resizer is a Chrome extension that resizes the browser window so that you can test your responsive design on different screen resolutions. The common screen sizes offered are desktop, laptop, and mobile, but you can also add custom screen sizes. 

 

Featured image via Unsplash.

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