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The global artificial intelligence market is expected to reach over $200 billion by 2027. The big data market segment is anticipated to grow up to US$103 billion by 2027 with a share of 45% from the software segment. Similarly, the projected size of the global deep learning market will reach over $40 billion by 2027 at a CAGR of 39.2%.

Indeed, the implementation of technologies like data science, artificial intelligence, and machine learning in organizations has increased exponentially. In the last two years, during the pandemic outbreak, the technologies played a crucial role in saving lives and fostering economic resilience, showing many surprising trends. 

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Many websites today use some type of traditional Content Delivery Network (CDN), which means improvements in website load times, decreases in bandwidth, and better redundancy and security. But not everything is optimized, specifically when it comes to images, and image CDNs can help with that! 

Traditional vs. Image CDNs

A traditional CDN treats images as static. If you want to tailor images to better match various mobile device types, then you need to create many variants of each image and upload them to your web server. It also means you must develop responsive code that will tell the server and CDN which image variant to deliver. This is clunky, time-consuming, and inefficient. For a large website, the amount of code needed can be astronomical. Using this static image model, there’s just no realistic way for each image to be effectively sized and compressed for every possible device model – at this point, there are thousands of them. The combination of these two unfortunate factors leads to potentially slow load times and poor UX caused by oversized images delivered to mobile devices.

So what is an image CDN? An image CDN builds on the traditional CDN model with the addition of device detection and image optimization. Instant detection of the device model and browser requesting the images is done right at the device-aware edge server (true edge computing!) Additional information, including screen resolution and dimension, pixels per inch, and support for next-gen image formats (such as WebP, JPEG 2000/JP2, and AVIF), provides even more details crucial for superior image optimization. Using this information derived from device-aware edge servers, the image CDN optimizes each image and serves the perfect version for each device and resolution, meaning users get the finest webpage experience faster.

A Bit About the Edge (Whoa, Living on the Edge?)

With a single server website, a web request would have to travel from the requestor, back to the origin server (wherever that was geographically located), be processed, and then travel back to the requestor. Depending on the physical distance between the requestor and the origin server, this could introduce a great deal of latency, which means lag time on page loads. 

A traditional content delivery network (CDN) is a global network of servers that optimizes web performance by using the node geographically closest to the user for faster delivery of assets. It takes static content like images and stores them on the edge. But usually, these edge servers are relatively simple in terms of their role in business processes. They mostly index, cache, and deliver content. And traditional CDNs like to keep edge servers simple because of concerns over CPU usage, storage, and scalability.

But what if these edge servers could also provide computing power that enhances performance and business processes? This is called edge computing. Slowly, CDNs are starting to open their edge servers to allow enterprises to deploy apps/services on the edge. Likewise, Cloud computing networks (e.g., AWS, Azure, Google Cloud) provide virtualized server capacity around the world for those who want to use geographically distributed servers. In a sense, Edge Computing is a marriage of the CDN (where edge servers synchronize/work with each other) and Cloud computing (where servers are open to applications). 

Edge computing is a fascinating concept, but what is the killer app that will enhance business processes and improve website performance? The addition of device detection to edge computing provides the ability to transform from delivery of static images to a new model where images are dynamic and tailored exactly to devices. 

Edge computing is computing that is done in a geographically distributed space, with many servers located at or near the source of the web request. This reduction in bandwidth and latency leads to fast processing times, increased site speed, and improved customer experience. And edge computing doesn’t require new infrastructure — it leverages the networks of existing providers to create Points of Presence (POP) around the globe. 

The Edge Servers are…Aware?

Device-aware edge servers, like those used by the ImageEngine image CDN, take edge computing to a new level. Device detection is actually one of the use cases where edge computing really shines. Normally, the edge server would have to send a Javascript query to the device to figure out any information about a requesting device’s model, browser, operating system. But with a device-aware edge server, the User Agent string is captured and decoded. This contains all of the information necessary for device detection without the need for any back and forth – a definite speed improvement. So you’re starting ahead of the game! 

Each time a new request comes to the device-aware edge server, the image is processed by that server (meaning optimized for that specific device parameters) and stored right there in cache, primed for future use. This is done in three stages: changing image size based on device resolution, compressing the image using an image optimization tool, and selecting the most efficient file format for the device. 

If the device-aware edge server has already processed a request from a similar device model before, then it can serve the device-optimized image from its edge cache, leading to a lightning-fast server response — and ImageEngine’s device-aware edge servers can serve up cached images 98% of the time! Not only is there geographical proximity because of the distributed global POP network, but the smaller size of the optimized image compared to the full-sized original cuts up to 80% off the image payload. This can cut up to several seconds off page load times. When almost 70% of people say that page speed influences their likelihood of making a purchase, every single second counts! 

Some image CDNs detect the device information and group the devices into “buckets” of similar types and serve an image based on that type. While this is certainly an advancement over a traditional CDN, and works passably well for some common devices, it still isn’t a truly optimal solution. There are so many variants of browser, screen size,  resolution, etc., even among very similar devices, that images are still often oversized (too large payloads) and lead to poor load speed. A true image CDN, such as ImageEngine, serves the perfect image for every device, every time.

So Now You Want To Get Started (Don’t Worry, It’s Really Simple)

One of the best things about the ImageEngine image CDN is the ease of integration – and it can integrate into any platform that supports a 3rd-party CDN. All you need is to sign up for an account and receive a delivery address during your two (yes, 2!) minute signup process. This delivery address is used to redirect image traffic for optimization and superior delivery performance. Next, you’ll have to make some slight adjustments to img tags on your website, but that’s really all the work you’ll need to do. There are no DNS changes during a standard (generic delivery address) integration. You read that right, none at all. Contrast that to a traditional CDN integration, where there is just no way around some messing around in the DNS – in fact, usually some fairly extensive DNS changes. 

This low-code, virtually no code, integration saves you time. It saves you money. It saves you the hassle of putting multiple team members on a new project. And it means that you can be up and running in about 15 minutes with a standard install. You can be serving optimized images to your site visitors at blazing fast speeds before lunch! And don’t worry, ImageEngine has an experienced integration support team available to answer any questions you might have. 

There’s also no issue with adding the ImageEngine image CDN on top of an existing CDN. Traditional CDNs may have security features that you may prefer to keep for your site. It requires slightly more integration but provides the same benefits of a solo ImageEngine implementation — screaming fast image load times and perfectly optimized images from device-aware edge servers. All that is recommended is that the ImageEngine image CDN actually serve the images directly, not simply process them, to get maximum benefits.

Adopt an Image CDN and See The Benefits

We’ve learned that image CDNs bring numerous benefits to your site AND your business. Using device-aware edge servers, image CDNs provide measurably better UX to your visitors. Pages load potentially seconds faster with perfectly optimized images, meaning your customers get to the heart of your message right away, and you don’t lose potential sales. 

Image CDNs are actually 30%+ faster than most traditional CDNs, improving site speed accordingly. From an SEO perspective, that’s huge! And your SEO gets an additional boost from the improvement to your Largest Contentful Paint scores (which can help you gain valuable rank on Google’s SERPs). Implementation is simple and fast. You get all this, plus cost savings: since you have smaller payloads because of the fully optimized images, you’re delivering fewer gigabytes of data.

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PageSpeed Insights is a free performance measurement tool provided by Google. It analyzes the contents of a web page for desktop and mobile devices. It provides a single number score (from 1 to 100) that summarizes several underlying metrics that measure performance. If you have not run PageSpeed Insights on your website, then you should stop and do it now. It’s an important indicator of how Google scores and ranks your site.

If your PageSpeed Insights score is below 80, don’t panic. You are not alone. Many websites are not optimized for performance. The good news is that you can take steps that should immediately improve your score.

You will notice that PageSpeed Insights highlights issues that cause slow page loading. However, you might need more guidance to resolve these issues. Below, we walk you through how to resolve four common issues related to images. We also show you how ImageEngine, an image CDN, can simplify, automate, and deliver the best image optimization solution possible.

Performance Drives Google SEO Rankings

Why does the PageSpeed Insights score and performance matter? Isn’t SEO ranking all about content relevance, backlinks, and domain authority? Yes, but now performance matters more than it did a year ago. Starting in 2021, Google added performance metrics to the factors that impact search engine rankings. In a market where websites are constantly jockeying to match their competition’s pages (for content relevance, keywords, and other SEO issues), performance is making a difference in keyword search engine rankings.

What Are Core Web Vitals Metrics?

PageSpeed Insights relies on a set of performance metrics called Core Web Vitals. These metrics are:

Largest Contentful Paint (LCP): Measures the render time (in seconds) of the largest image or text block visible within the viewport, relative to when the page first started loading. Typically, the largest image is the hero image at the top of pages.

First Input Delay (FID): Measures the time from when a user first interacts with a page (i.e. when they click a link, tap on a button, or use a custom JavaScript-powered control) to the time when the browser is actually able to begin processing event handlers in response to that interaction.

Cumulative Layout Shift (CLS): Measures the layout shift that occurs any time a visible element changes its position from one rendered frame to the next.

Images and JavaScript are the Main Culprits

PageSpeed Insights breaks down problems into categories based upon how they impact these Core Web Vitals metrics. The top two reasons why you might have a low score are driven by JavaScript and images.

JavaScript issues are usually related to code that either blocks or delays page loading. For example, lazy-loading images might involve JavaScript that blocks loading. As a rule of thumb, do not use a third-party JavaScript library to manage image loading. These libraries frequently break the browser’s built-in image loading features. Lazy-loading may make above-the-fold images load slower (longer LCP) because the browser starts the download later and because the browser first has to execute the JavaScript.

Another JavaScript issue involves code that is large or unnecessary for the page. In other words, code bloat. There are good resources for resolving these issues on the web. However, in this blog, we will focus on image problems.

Images are a major contributor to poor performance. The average website payload is 2MB in 2021, and 50% of that is images. Frequently, images are larger than they need to be and can be optimized for size with no impact on quality…if you do it right.

Four Image Issues Highlighted by PageSpeed Insights

Largest Contentful Paint is the primary metric impacted by images. PageSpeed Insights frequently recommends the following four pieces of advice:

  1. Serve images in next-gen formats.
  2. Efficiently encode images.
  3. Properly size images.
  4. Avoid enormous network payloads.

That advice seems straightforward. Google provides some great advice on how to deal with images in its dev community. It can be summarized in the following steps:

  • Select the appropriate file format.
  • Apply the appropriate image compression.
  • Apply the right display size.
  • Render the image.
  • Write responsive image code to select the right variant of the image.

We call Google’s process the “Build-Time Responsive Syntax” approach. If you have a relatively static website where you don’t generate new pages or switch out images frequently, then you can probably live with this approach. However, if you have a large and dynamic site with many images, then you will quickly feel the pain of this approach. Google itself stresses that developers should seek to automate this image process. Why? Because the process has some serious workflow drawbacks:

  • Adds storage requirements due to a large increase in image variants.
  • Increases code bloat and introduces more code complexity.
  • Requires developers’ time and effort to create variants and implement responsiveness.
  • Requires logic to account for different browser’s support for next-gen image formats.
  • Doesn’t adapt to different contexts. It relies on best-guess (breakpoints) of what device visits the web page.
  • Needs a separate CDN to further increase delivery speeds.
  • Requires ongoing maintenance to adapt to new devices, breakpoints, image formats, markets, and practices.

Key Steps to Achieving High-Performance Images

Instead of using the Build-Time Responsive Syntax approach, an automated image CDN solution can address all of the image issues raised by PageSpeed Insights. The key steps of an image CDN that you should look for are:

  1. Detect Mobile Devices: Detection of a website visitor’s device model and its technical capabilities. These include: OS version, browser version, screen pixel density, screen resolution width and height, support for next-gen image and video formats. This is where ImageEngine is unique in the market. ImageEngine uses true mobile device detection to further improve image optimization. It has a huge impact on the effectiveness of the image optimization process.
  2. Optimize Images: An image CDN will leverage the device’s parameters to automatically resize, compress and convert large original images into optimized images with next-generation file formats, like WebP and AVIF. Frequently, an image CDN like ImageEngine will reduce the image payload by up to 80%.
  3. Deliver by CDN: Image CDNs like ImageEngine have edge servers strategically positioned around the globe. By pushing optimized images closer to requesting customers and delivering them immediately from the cache, it often provides a 50% faster web page download time than traditional CDNs.

Easy Integration Process for Image CDN

After signing up for an ImageEngine account and free trial, you will receive a Delivery Address. After adjusting your <img /> elements to include the Delivery Address, ImageEngine will start to pull the original images from your website (no need to move or upload them), automatically optimize them, and deliver them.

You can automate the addition of the Delivery Address to the img src tag by using plug-ins for WordPress and Magento. Developers can also use ImageEngine’s React, Vue, or Angular JavaScript frameworks to simplify the process.

Additionally, there are many ways to simplify implementation via adjustments to templates for many CMS and eCommerce platforms.

Results: Improved Performance, Better SEO

Most ImageEngine users see a huge improvement in LCP metrics, and consequently, a big improvement in the overall PageSpeed Insights score. ImageEngine provides a free demo analysis of your images before and after image optimization. In many cases, developers see improvements of many seconds on their LCP and Speed Index.

In summary, performance drives higher search rankings, and better UX, and increases website conversions for eCommerce. The steps you take to improve your image performance will pay for themselves in more sales and conversions, streamlined workflow, and lower CDN delivery costs.

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In my experience, the biggest challenge that freelancers face — more than winning clients or setting prices — is project management; take on too much work, and you’ll start missing deadlines, take on too little, and you’ll start missing your rent.

Some people are naturally organized; they rock up at their desk at 08:59, fully confident in what they will spend the next 8–12 hours working on. Let’s be kind and say that I am not one of them, and leave it at that. The only way I have managed to survive the industry is by self-consciously micro-managing my schedule on a daily basis.

When I worked in an agency, I knew what I would be working on days in advance. Now, I know 90% of what I’ll be working on, weeks in advance.

That level of organization requires very, very, very careful planning. I hold team meetings at the end of the day, yes, “team” meetings of one person. To do that I use a number of tools that suit me.

How to Choose a Project Management App

The most important aspect of any project is the end. That’s when the client will assess your work, and that’s when you get paid. So when you choose a project management solution, make sure it gives you a clear path to the project conclusion.

I know one freelancer who sets himself a hard stop at 7 pm every day. At 7 pm, he downs tools switches off, and walks away. I once heard him end a client call at 7 pm because he’d reached his cut-off point. It made me wince — I would have stayed on until the call concluded — but it hasn’t affected his business.

I know another successful freelancer who works on a budget. When she has earned the money she needs for that day, she stops. She bills by the hour to make this work, so when she sits down in the morning, she knows exactly what time she’ll finish.

Personally, I prefer a task-based approach. I know what I have to get done; if I can get ahead, then great, but my main focus is ensuring I don’t fall behind. I believe that if you hit your deadlines, everything else will take care of itself. Admittedly, there have been a few late-nights (and all-nights) over the years, but thankfully they’re less common these days.

No one style of project management suits everyone. And it doesn’t matter what approach you take, provided you take an approach.

8 Best Project Management Apps for Freelancers

As a freelancer, the most important thing characteristic you can have is reliability. Cultivate a reputation for delivering on your promises, and you’ll become invaluable to your clients. The best project management app is the one that helps you keep your promises.

There are some excellent tools on the market that facilitate project management, but most are aimed at SMEs, or project managers running a team of freelancers.

The tools here are listed from least, to most useful for the average freelancer. I’ve avoided too many time-tracking apps because I find these tend to encourage billing by the hour, which is potentially damaging to your business long term. If you do need pure time-tracking, check out Harvest. I’ve also avoided solutions that are too large-scale to benefit freelancers. If you’re looking for a project management tool for teams, then Basecamp, Jira, Project.co, and Redbooth are all worth considering.

Sadly none of these apps are perfect, and there’s a good chance you’ll need to use two or three to manage your projects.

8. Todoist

Todoist is hands down the best to-do app on the market. The downside is that its feature set is minimal.

Todoist really excels at lists. You can break down tasks into sub-tasks, and sub-sub-tasks. The downside is there’s no real scheduling or comparison of multiple projects in a single view.

The mobile apps are great, and Todoist recently introduced boards, a form of kanban board that gives you a good overview of everything. If it introduces a gantt chart, I can see myself relying on it more.

Todoist has a free forever plan that is fine for most freelancers, and the paid plans start at just $3 per month.

7. Bonsai

Bonsai is an excellent service for freelancers that grew from a simple invoicing app to include proposals, contracts, time-tracking, and more.

I used Bonsai for invoicing for a couple of years, and it does everything it claims to do. However, there are a couple of significant areas where it falls down. Firstly, its invoicing is super-aggressive and cannot be customized — make sure you’re on friendly terms with any client you send a Bonsai invoice to. Secondly, while it does a good job of tracking what you have done, it doesn’t help you plan what needs to be done beyond a formal proposal.

If you’re running a few simple projects, then it’s possible Bonsai is right for you. Pricing starts at $19 per month.

6. Monday

Monday is one of the biggest players in the project management market. It offers a dizzying array of options, and if this list were aimed at project management for agencies, Monday would be further along our countdown. Monday may suit freelancers, particularly those who have migrated from agency work, but for most, it’s more than we need.

There is a free-forever plan that covers almost everything you could want. However, if you need to view your projects as a gantt chart — and I strongly suggest you do — then you’ll need to update to the standard plan, which starts at $8 per user per month, with a minimum of three seats, meaning at least $24 per month when billed annually.

5. AND.CO

AND.CO stands out as a slick, easy-to-use option for managing a freelance business. Like Bonsai, it allows you to manage proposals, invoicing, time-tracking, expenses, and more.

AND.CO also has extremely well-liked customer support. An underestimated consideration when you don’t have your own accounts team to resolve problems.

As with other solutions of this type, the task-management is lacking. It does include a simple to-do list, but in my opinion, it’s not sufficient, and you’ll need to supplement it with something that supports gantt charts.

There’s a free forever plan, but it’s barely more than a free trial. Pricing for full-featured access starts at $18 per month when billed annually.

4. ClickUp

ClickUp is a SaaS that aims to replace just about everything else you could need. Unlike some options on this list, it includes a CRM, which is a bonus because there’s nothing worse than relying on the search function in your email to track down someone’s contact details.

ClickUp also offers a genuinely free-forever account with enough features to make it usable. If you choose to upgrade to a paid plan, it’s just $5 per user per month, which is excellent value.

If anything, there’s just too much in here. If you’re someone who considers themselves a power-user who enjoys digging into every nuance of a UI, then ClickUp could be for you. But, if, like me, you favor a simple tool that does what it’s told and gets out of the way, then there are better options.

3. Asana

Asana is probably the best-known project management tool on the market. It offers a tremendous number of options and is flexible enough for any style of project management.

There’s a free forever plan that is ideal for getting started and offers you most — you may be sensing a theme here — of the features you’ll need. But Asana’s best feature is its excellent timeline implementation of the gantt chart, for which you’ll need to upgrade to a premium plan costing $10.99 per user per month, with a minimum number of 2 seats that translates to a rather expensive $21.98 per month.

2. Trello

Trello is famous for its kanban boards, and many people prefer them to gantt charts, which has helped the app grow rapidly in the last few years.

If you’re prepared to pay $10 per user per month, Trello actually offers gantt charts as well, in the form of its timeline feature.

Trello is mainly designed for teams, not freelancers. However, if you do have the budget for a premium plan, Trello gives you an enviable ability to switch project management styles on a whim.

1. Toggl

Toggl is perhaps the perfect balance of time-tracking and gantt chart that is ideal for freelance projects.

As with most tools, Toggl is designed for teams, with billing starting at $8 per user per month. However, it offers a solo plan, designed for freelancers, that is free forever.

The main thing you miss out on with Toggl’s Solo plan is team timelines, which you won’t need unless you’re outsourcing work. One other obvious omission is unlimited planning boards, which you may find yourself paying for sooner or later.

But for a mixture of simplicity and powerful features available for $0, Toggl is hard to beat.

 

Featured image via Pexels

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Project Lambda is an effort to bring Java into the world of functional programming. 

Lambda is a function without a name. It is an implementation of functional interfaces. A functional interface is an interface that has only a single custom abstract method that isn’t inherited from the object class. In Java, interfaces such as Runnable, Comparable, and many others are the example of Functional Interfaces. It defines an anonymous implementation for one-time use and significantly streamlines your code.

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As businesses become AI-ready, efficient data management has acquired an unprecedented role in ensuring their success. Bottlenecks in the data pipeline can cause massive revenue loss while having a negative impact on reputation and brand value. Consequently, there’s a growing need for agility and resilience in data preparation, analysis, and implementation.

On the one hand, data-analytics teams extract value from incoming data, preparing and organizing it for the production cycle. On the other, they facilitate feedback loops that enable continuous integration and deployment (CI/CD) of new ideas.

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Bridge Design Pattern is a Structural Design Pattern used to decouple a class into two parts — abstraction and it’s implementation — so that both can be developed independently. This promotes the loose coupling between class abstraction and its implementation. You get this decoupling by adding one more level of indirection i.e. an interface that acts as a bridge between your original class and functionality. Insulation is another name of the Bridge Design Pattern in the C++ world.

"All problems in computer science can be solved by another level of indirection." — David Wheeler

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Voice is one aspect of technology that is getting bigger and bigger, and showing little sign of relenting. In fact, 2019 data revealed that 22% of UK households owned a voice-controlled digital home assistant device such as an Amazon Echo or Google home. This is double the figure recorded in 2017 and it is predicted that over the next five years nearly 50% of all homes will have one. Smart home adoption rates are increasing, and it shows how voice control is something we are all becoming more accustomed to.

With these high figures, does it follow that voice should be something web designers build into sites? Or is it merely a gimmick that will die out and render sites with hardware and complex design issues? You only have to look at the failed introduction of Google glass to see that certain technological advancements don’t always have the outcome that might be expected.

Multiple Voices

One of the first issues with voice is establishing whether you want sites to recognise everyone’s voices, or just those who have registered. If you’re using the site in a crowded room will it pick up on snippets of conversation from others and think these are instructions? Google Home has a feature whereby you have to register your voice with its app to use more personalised features such as the shopping list. Is this the sort of thing websites would need?

Accents

The implementation of voice is complex, not only does it need to understand certain languages (such as English), but all the accents and variations too. With 160 English dialects alone, that is a lot that the technology needs to understand – not including mispronunciations, slang, and colloquialisms. Also, if a site is used all over the world (which many are) how many languages will it need to know?

Privacy Issues

if there are clips of your voice out there on the web…it can easily be imitated

If a website involves a feature such as online shopping or other functions which require sensitive details to be input, this could put people off using voice. Users need to know where this saved data is being stored, how it will be used and if it is secure. In 2018, HMRC had signed up about 6.7 million people to its voice ID service and HSBC said over 10,000 were registering each week. This shows many trust the service, but experts say that if there are clips of your voice out there on the web (such as in a podcast) it can easily be imitated. Bringing with it security and privacy issues.

According to futurologist Dr Ian Pearson, who invented the text message back in 1991, it won’t be long until we can complete a financial transaction with just a few words and a gesture. This can be a time-saver for things such as online shopping, but we need to ensure there are the correct security steps in place.

Users Don’t Talk The Way They Type

When speaking we tend to use shortened and more colloquial language as opposed to when we type. The voice function on a website will need to be able to adapt for this. One example is if you are filling in a form or comment box by voice for a website, you will need to tell it what to punctuate, letting it know where to add a comma, exclamation mark etc.

Website Processes Need to be Simpler

With the web as we use it now, we often browse through pages, reading other snippets of information before clicking through to the page we want. With voice recognition it will cut out these middle steps. For example, if you are looking for a recipe of something specific, you will just say the command “Show me the … recipe” and it will take you straight there. This direct access to what we are looking for could lead to a simplification of websites.

Regular Updates

With websites as they are now, they need updates semi-regularly, depending on how they are built, how complex they are, and what features we have built into them. A voice-based site will need updating regularly, whether to add new words or processes or to keep up with the fast-adapting technology. It might end up being quite a complex process.

Mistrust

While there are more of us now than ever using voice control via tech such as Alexa, Google, and Siri, there is still a level of mistrust over it. It’s still not quite clear where data is being stored, if it is being stored, and how easy it could be to abuse.

Larger Storage and Bandwidth

If a site is built for voice, will it utilise a ready-built plugin or will it have its own software built by developers? Will this feature require a greater amount of storage and bandwidth to cope with it? These are further factors to consider when thinking of the future of implementing voice to websites.

We Still Don’t Know Where It Will Go

Voice technology while working in some respects, is still a bit of a grey area when it comes to future use. Will it be the next big thing as many have predicted, or will it simply die down?

Look at Google Glass – highlighted as the big new technology, they soon died down and were eventually discontinued. Smart watches were another thing. You can see their initial downfall by reading an article published in 2017 about smartwatches – how major smartwatch makers such as Apple and Samsung rushed into the market before the technology was ready and they subsequently failed. Motorola exited the smartwatch market, Pebble and Jawbone shut down and Fitbit sold 2.3 million fewer devices than in their previous quarter. It was perceived as being a fad. However, fast forward to 2020 and more people than ever are wearing and using smartwatches. The smartwatch market was valued at shipment volumes of 47.34 million in 2019 and is expected to reach 117.51 by 2025, reaching a growth of 15.4 over the next five years.

Will voice follow a similar trend?

No More Impulse Buying

People enjoy browsing websites and many businesses rely on user’s impulse buying and ask their websites to be designed to reflect this. With voice taking you directly to the page’s users want to find, will they bypass these potential selling traps and just buy what they want – rather than added extras? Will it end up being a negative for businesses and see users not as satisfied for the experience?

Voiceless Still Matters

You will also have to remember that not all devices might work with voice, or people might be browsing somewhere where voice cannot be used. This means in the design process it needs to work both for voice instruction and manual use. It needs to work just as well for both to ensure the customer journey isn’t affected.

There are many ways voice can affect how we design websites in the upcoming future. It’s important to take note of market trends and usage – seeing how people use voice and thinking of the customer journey. It’s vital we don’t forget the end goals of websites – whether it’s to inform or to sell, the implementation of voice needs to assist this process not make it harder.

 

Featured image via Unsplash.

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