Articles


Introduction

In today’s world of fast-developing technology, people want access to data instantly. Waiting for a web page to load or an image to upload is no more an option. An application not designed aptly and flexible to handle increased workload and users—everything will be simply left in the dust.

Scalability is all about handling growth. A scalable web business should be able to efficiently and seamlessly adapt to the growth, handle an increase in load and users, without disturbing the end-users. A web application and website that is designed for scale will grow with the growing needs of the company. That’s why it is important to design a web business by keeping scalability in mind.

Source de l’article sur DZONE

Hybrid cloud architectures are the new black for most companies. A cloud-first is obvious for many, but legacy infrastructure must be maintained, integrated, and (maybe) replaced over time. Event Streaming with the Apache Kafka ecosystem is a perfect technology for building hybrid replication in real-time at scale.

App Modernization and Streaming Replication With Apache Kafka at Bayer

Most enterprises require a reliable and scalable integration between legacy systems such as IBM Mainframe, Oracle, SAP ERP, and modern cloud-native applications like Snowflake, MongoDB Atlas, or AWS Lambda.

Source de l’article sur DZONE

This week Google announced further details of its plan to remove cookies from ad tracking. The strategy, which the ad giant expects to be fully implemented by 2022, has come about due to increasingly stringent privacy laws in a growing number of territories around the globe.

Google’s first step was the announcement in January of FLoC (Federated Learning of Cohorts). Google itself is still testing and fine-tuning the system, but in essence, Google will replace 3rd-party cookies in Chrome with groups of anonymized users.

Critics of the plan have questioned whether users will be genuinely anonymous or whether Google will be tracking individuals to group them properly. The answer came earlier this week in a low-key announcement of KaST.

What is KaST?

KaST (Key and Surface Tracking) is the first iteration of Google’s new tracking technology. It works entirely without cookies and is fully device-agnostic.

The technology behind KaST is surprisingly old. It was first trialed in 1987 as a simple process for auditing the input of stenographers. Although the latest version of the technology draws heavily on voice recognition software algorithms, the original version of KaST — software named TAAA (Typist Account Accuracy Audit) — predates modern voice recognition by at least two years.

KaST uses…biomechanical and cognitive patterns, identifying individual users based on their keystrokes.

Just as your voice has a unique, identifiable modulation — anyone who uses telephone banking will be familiar with speaking their password — so too does your biomechanical input.

When you type on a keyboard or a touchscreen, the force, speed, and accuracy with which you hit characters are dependent on two things: your cognitive process and the unique biomechanics of your hands (the bones, ligaments, and muscles).

For example, when I type WordPress, I almost always type it as WordPRess (with a capitalized R). That is one facet of my combined biomechanical and cognitive process.

KaST uses keyboards and touch screens to track combined biomechanical and cognitive patterns, identifying individual users based on their keystrokes.

Mobile Approaches to KaST

KaST is heavily reliant on BMaC (Bio-Mechanical and Cognitive) input. Although Google hasn’t released any data to support the accuracy of KaST, BMaC is known to be surprisingly accurate.

Reports suggest that the KaST algorithm is 89.7% effective for character strings of 12 characters or more, leaping to 97.6% for 19 characters or more on a single device. That makes it too inaccurate for high-end processes like security but well within the necessary margin of error for a non-critical process like serving ads.

Google will be able to identify you on any machine, on any device, in any context, as soon as you type 19 characters or more

When switching to a touch-screen device, the accuracy plummets to just 87.8%. This may be one reason Google has been low-key in its trumpeting of the new technology so far.

According to TechBeat, initial trials of the tri-axis position of a device (X, Y, and Z rotation) were abandoned as inaccurate. Still, even without those additional tracking signals, Google claims KaST on mobile will achieve ~94% accuracy by the 1st quarter of 2022.

What Does KaST Mean for Users?

Much like many of the algorithms that govern our daily lives, KaST will be largely invisible to most of us. Unlike cookies that can be legislated for and removed from a local machine, your BMaC is as inescapable as your DNA.

Where privacy concerns really grow is that your BMaC follows you from device to device. How you type at home is identical to how you type at work. Your personal and professional profiles are now instantly connectable; Google will be able to identify you on any machine, on any device, in any context, as soon as you type 19 characters or more.

KaST Prompts Pre-M1 MacBook Rush

Within 24 hours of KaST’s announcement, Apple stores were reporting rush orders of pre-M1 MacBook Pros. With some stores reportedly selling out late on Wednesday.

The rush came in the wake of a Reddit post — that has since been removed — that claimed that the notoriously bad butterfly keyboard on pre-M1 MacBook Pros circumvented KaST because the inaccuracy of the keystrokes, and the tendency of the keys to stick introduced a random element that disguised the end-user from the KaST algorithm.

Although the Reddit post is unsubstantiated, it transpires that M1 Mac owners may not be the lucky ones after all.

Should You Worry About KaST?

Advocates maintain that KaST — and Google’s wider FLoC strategy — are beneficial to users and the web as a whole. They claim that identifying users without 3rd party cookies does more to protect privacy than hinder it.

Opponents argue that in a digital world rife with user tracking, privacy compromises of this magnitude cannot be contemplated simply to enable more sophisticated ad-serving.

Despite KaST’s early stages of development, privacy concerns are mounting, and a campaign has been launched to regulate Google’s use of the technology.

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A domain name is an essential element of every project, product, and company. It’s central to a brand and has a disproportionately large impact on user experience. Not only that, but it also impacts SEO and ultimately revenue.

Domain names are also one of the most commonly retailed elements in web technology, with most designers hoarding a small empire’s worth of domain names “just in case” the right side-project comes along.

Because so much of the information and advice on domain names is provided by companies selling domain names and is therefore not impartial, we wanted to bust some of the myths you’ll encounter.

Myth 1: Anyone Can Own a Domain Name

In fact, almost no one can own a domain name. As demonstrated by the (probably) annual renewal notices you receive, you are merely renting a domain name.

You pay a registrar, who registers the domain with ICANN (The Internet Corporation for Assigned Names and Numbers) — or an entity to whom ICANN has delegated the responsibility for a particular TLD.

Even when renting a domain, you do not have the right to use it; thousands of UK-based businesses have had .eu domains stripped from them as a result of being removed from the EU.

Myth 2: There’s a Perfect Domain For Every Project

Domains do not have inherent value; they acquire value over time.

25 years ago, if you were building a search engine, the ‘perfect’ domain might have been search.com, find.com, or perhaps look.com — the particularly cynical might have opted for webads.com. You almost certainly wouldn’t have registered google.com because it says nothing about search.

Any domain name can acquire value through longevity, SEO, and branding

google.com acquired its value through a simple, relentless branding strategy and a generous dollop of luck.

Any domain name can acquire value through longevity, SEO, and branding.

Myth 3: Your Domain Name Should Contain Keywords

If you’re at the point of registering a domain name, either your business is new, or your digital strategy is. In either case, you have hopefully carried out keyword research, but without a live site, your keyword research hasn’t been validated. In other words, you don’t know what your keywords are.

Even if you’re confident that you know exactly what your keywords should be at this time, your keywords may change. The pandemic has required most businesses to pivot to some degree. eatoutny.com isn’t much use if legal restrictions have forced you to switch to a delivery business — unless you’ve also registered eatinny.com.

Furthermore, in the area of ecommerce, customers tend to view keyword-heavy domain names as budget options because they are like generic-brand goods. It may be that your business will only ever be a budget option, but it’s not a wise business decision to restrict your options.

There is an SEO benefit to keywords in a domain, but it is minimal and will almost certainly vanish in the next few years — even for EMD (Exact Match Domains) — because it is too close to gaming the system.

Myth 4: You Don’t Need a .com

As frustrating as it may be to seek out a .com you’re happy with, nothing says “late to the party” like a .biz domain.

A .co extension is slightly better in some regions because the .co.** format is commonly used; .co.jp for example. However, .co tends to be typed as .com by users accustomed to the more common format.

nothing says “late to the party” like a .biz domain

It’s possible to opt for pun-based names using regionally specific TLDs like buy.it, or join.in. This kind of strategy will play havoc with your local search strategy because computers don’t understand puns; you’ll potentially do quite well in Italy or India, though.

If you’re registering a domain for a non-profit, then .org is perfectly acceptable. However, carefully consider whether a domain is worth the lost traffic if you can’t also register the .com (because people will type .com).

The one exception is industry-specific TLDs that communicate something about the domain’s contents to a target demographic. For example, .design is a great extension for designers, and .io is fine for an app if it targets developers (i.e., people who understand the joke). You should also register the .com if you can, and if you can’t, carefully consider whom you’re likely to be competing with for SERPs.

This is not to say that anything other than a .com is worthless, just worth less than the .com.

Myth 5: A Trademark Entitles You to Register a Domain

Trademark registration and domain registration are two entirely different processes, and one does not entitle you to the other. This has been legally challenged a few times and fails far more often than it succeeds.

Trademarks are rarely blanket registrations, which means the trademark owner needs to declare the industry in which it will operate; there was no enmity between Apple Inc. and Apple Corp Ltd. until the former moved into music publishing and no one could download the White Album onto their iPod.

There is, however, a limited value in registering a domain that has been trademarked elsewhere. Not least because you will be competing against their SEO, and if they’re big enough to trademark a name, they’ve probably grabbed the .com.

Myth 6: Premium Domains Are a Good Investment

Premium domains are domains that have been speculatively registered in the hope of attracting a huge resale fee. The process is commonly referred to as ‘domain squatting.’

Domain squatters bulk-register domains in the hope that one of them will be valuable to someone. As a result, they are forced to charge exorbitant fees to cover their losses; a premium domain will cost anything from 1000–100,000% of the actual registration cost.

Setting aside the cost — which would be better spent on marketing — premium domains often come with legacy issues, such as a troubled search engine history, that you do not want to inherit.

Myth 7: A Matching Handle Must be Available on Social Media

The business value of a social media account varies from company to company and from platform to platform. Even if it is valuable to you, numerous marketing strategies will accommodate a domain name: prepending with ‘use,’ or ‘get,’ or appending with ‘hq,’ for example.

More importantly, it’s unwise to allow a third-party to define your long-term brand identity; sure, Facebook is huge now, but then so was the T-Rex.

Myth 8: You Need a Domain Name

A domain name is an alias, nothing more. You don’t actually need a domain name — what you need is an IP address, which a domain name makes human-friendly.

Think of domain names as an accessibility issue; humans are less able to read IP addresses than computers, and domains bridge the gap. (See how helpful accessibility is?)

While a domain name is beneficial, question whether a sub-domain or even an IP address would do. Registering a domain is an exciting stage of a project that many people never get past, leaving themselves with a huge collection of domains that they pay an annual fee for, and never actually develop.

What Makes a Good Domain Name

Now we’ve dispelled some of the myths surrounding domain names, let’s look at the key characteristics shared by good domain names:

A Good Domain Name is Brandable

A brandable domain is non-generic. It’s the difference between a sticky-plaster and a band-aid. Unique is good, rare is acceptable, generic is a waste of money.

A Good Domain Name is Flexible

Keep it flexible. Don’t tie yourself to one market or one demographic. Your domain name needs to work now and fifty years in the future.

A Good Domain Name is Musical

Six to 12 characters and two to three syllables is the sweet spot. Names in that range have a musical rhythm our brains find it easier to retain and recall.

A Good Domain Name is Phonetic

There are 44 word sounds in the English language. Other languages have similar totals. If you use a domain name that is pronounced phonetically, it will be easy to communicate.

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The post 8 Domain Name Myths Every Web Designer Should Know first appeared on Webdesigner Depot.


Source de l’article sur Webdesignerdepot

Advertising knows you better than your friends, better than your family, perhaps even better than your partner.

Look up pizza recipes, and advertising will show you promotions for pizza ovens. Download a marathon training plan, and advertising will show you the latest running shoes. Buy a car, and advertising will show you adverts for other cars because no system’s perfect.

Advertising does this with a simple trick: it watches you constantly. It’s watching you right now. The web is one giant machine for making money, and you’re the fuel.

On the one hand, advertising’s insidious invasion of our privacy is enough to make you paranoid; on the other hand, I really love my pizza oven.

The largest facilitator of advertising on the web is Google Ads — reportedly worth $134.8 billion per annum; it’s Alphabet Inc’s primary source of revenue.

Last year, Google Ads announced that it would be ending its reliance on third-party cookies for delivering targeted advertising as part of a wider industry trend towards greater privacy protection for individuals. This week, we received more details confirming that Google Ads will not replace third-party cookies with comparable tracking technology.

Google Ads intends to maintain relevant advertising, without user tracking, by anonymizing your identity within a crowd. The technical term is a Federated Learning of Cohorts (FLoC), essentially Asimov’s Psychohistory, in capitalist form, some 45,000 years before Hari Seldon is due to be born.

In simplistic terms, someone who buys a pair of running shoes can reasonably be expected to be interested in GPS watches. The complexity arises when grouping becomes more complex: people who watch Netflix on a Tuesday evening purchase a particular soup brand and read the Washington Post, for example. The system requires billions of groupings that are too complex to express in English. And yet Google claims to already be making some progress.

As with any fledgling technology, the implications of its widespread adoption are unclear. FLoC is Chrome-based, so there’s the looming specter of a monopoly. Then there’s the issue of how groups are built; does Google need individual tracking to generate crowds of individuals? It’s unclear, but what is clear is that if Google succeeds — and it’s likely that it will — other networks will have no choice but to follow suit. It seems inevitable that there will be a wide-ranging impact across not just advertising but analytics and marketing as a whole.

The back door that’s being held open is one-to-one relationships. If you visit a site, that site can attempt to entice you back with targeted advertising. This means the next few years will see a growth in the number of companies developing ongoing relationships in the form of newsletters and memberships.

How ever it plays out, a fundamental change to the system that funds most of the web is certain to have a long-term impact on day-to-day user experience.

 

Featured image via Pexels.

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The post Google’s FLoC Promises a Radically Different Web first appeared on Webdesigner Depot.


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Today, most companies are using Python for AI and Machine Learning. With predictive analytics and pattern recognition becoming more popular than ever, Python development services are a priority for high-scale enterprises and startups. Python developers are in high-demand — mostly because of what can be achieved with the language. AI programming languages need to be powerful, scalable, and readable. Python code delivers on all three.

While there are other technology stacks available for AI-based projects, Python has turned out to be the best programming language for this purpose. It offers great libraries and frameworks for AI and Machine Learning (ML), as well as computational capabilities, statistical calculations, scientific computing, and much more. 

Source de l’article sur DZONE

Everyday design fans submit incredible industry stories to our sister-site, Webdesigner News. Our colleagues sift through it, selecting the very best stories from the design, UX, tech, and development worlds and posting them live on the site.

The best way to keep up with the most important stories for web professionals is to subscribe to Webdesigner News or check out the site regularly. However, in case you missed a day this week, here’s a handy compilation of the top curated stories from the last seven days. Enjoy!

The Application of Augmented Reality in Web Design

15 Funny Web Design Memes Only Web Designers Will Get

Tauri: Build Desktop Applications with a Web Frontend

20 Best New Websites, February 2021

Spotify is Testing a Redesigned (and Much-Improved) Library UI

Boardly – A Minimalistic Planning Board for Your Projects

A Big List of Must-Bookmark Sites for Digital Designers

10+ HTML CSS Marquee Examples

7 JavaScript ES2020 Features You Should Try

16 Office Pranks For When Life Goes Back To Normal

What Is the Best Ecommerce Platform?

Choosing New Tools and Technology for Your Web Projects

Getting Deep into Shadows

Bablab – Portfolio Websites for Photographers and Artists

7 Essential WordPress Plugins for a New Client’s Website

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The post Popular Design News of the Week: February 22, 2021 – February 28, 2021 first appeared on Webdesigner Depot.


Source de l’article sur Webdesignerdepot

If you like to build websites with WordPress, then you’re in for a treat.

Now, for the first time, you don’t need to know how to code to use Google’s popular Material Design system on your WordPress website; the web giant has released a WordPress plugin and theme to import its colors, icons, UI elements, and typography straight into your CMS.

Google already provided a set of tools for generating Material Design themes, but until now you needed to know how to copy that code across to your site files. With this latest plugin and theme, all you need to do is click and go.

 

You need to install both the plugin and theme to take advantage of Material Design for WordPress. Using the add-ons, you can tweak your typography via Google Fonts, add-in MD color, and even choose your own icons. If even that’s too much, pick one of the pre-built themes. One of the best features is that the plugin warns you if your customizations break accessibility guidelines, saving you a do-over when you discover it later on.

Google calls it “an experimental plugin and theme,” which means it’s subject to change. And Google has been quick to emphasize that the plugin is very much a work in progress, asking for feedback to help them direct future development efforts.

It’s a really great option for anyone who’s starting on the web, building their first site, or who really wants a nice reliable design system that they can build on in the future.

It’s yet another automation tool that has driven WordPress to the top of the technology pile and made it the CMS of choice for 40% of the web. As tech hots up and AI continues to develop, it’s hard to dismiss the idea that one day soon, our only contribution to websites will be paying the hosting bill!

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De nombreuses études (1) estiment que les organisations financières dédient plus de 50% de leur charge de travail à la collecte et l’analyse de données. C’est pourquoi l’automatisation est un outil à fort potentiel.

Avec la plateforme SAP S/4HANA, l’ERP nouvelle génération, SAP introduit un ensemble de techniques  permettant à la machine d’imiter une forme d’intelligence réelle, l’Intelligence Artificielle.

Les domaines d’application sont nombreux et peuvent être mis au service de la transformation de la fonction finance.

Le Machine Learning  pour optimiser la réconciliation bancaire

La réconciliation bancaire est un exemple de processus qui implique de nombreuses actions manuelles, notamment pour les flux d’encaissements :

  • des volumes importants de paiements à réconcilier manuellement malgré des règles prédéfinis,
  • des paiements sans références factures, des données de base incomplètes, des paiements avec écarts qui complexifient les actions de réconciliation,
  • des règles spécifiques à mettre en place en fonction des pays, des formats, des modes de paiements.

SAP introduit dans la suite SAP S/4HANA, une solution innovante basée sur du Machine Learning et permettant d’atteindre des taux d’automatisation proche de 97%.

La solution apprend des données et actions historiques, c’est-à-dire des répétitions (patterns) dans un ou plusieurs flux de données (extraits de comptes électroniques, avis de paiements, banques partenaires/sociétés,…) et en tire des prédictions de réconciliation en se basant sur des statistiques.

Les critères de réconciliation sont ainsi continuellement affinés et  les nouveaux cas, les exceptions, traités en autonomie. Les taux d’automatisation considérablement améliorés contribuent à réduire les coûts de déploiements et coûts opérationnels.

L’analyse prédictive pour améliorer la prise de décision

L’évolution constante des modèles économiques  impose aux directions financières de gagner en efficacité et en agilité. Elles doivent anticiper les impacts sur les revenus, la profitabilité, l’affectation des ressources afin d’orienter la stratégie de l’entreprise.

La plateforme SAP S/4HANA embarque des scénarios d’analyses prédictives permettant d’établir des prévisions de chiffre d’affaires très fiables via des algorithmes se basant sur des données actuelles et historiques, internes et externes à l’organisation tel que le pipeline des ventes, les tendances du marché, l’évolution du PIB d’un pays, etc.

Ces prédictions effectuées en temps réel alimentent le processus de planification budgétaire et sont déclinées à tous les niveaux de l’organisation où des ajustements peuvent être effectués.

A cela s’ajoutent des outils de simulation permettant de visualiser l’impact des choix stratégiques tel que les changements d’organisation, le développement de nouveaux produits, etc.

Lutter contre la fraude et la cybercriminalité

La crise sanitaire et économique inédite que nous vivons ouvre aux fraudeurs de nouvelles failles pour parvenir à leurs fins. De nombreuses attaques n’étant jamais identifiées, il est impossible de déterminer avec précision les pertes pour les entreprises. En 2020, d’après l’ACFE Report to the Nations (2), la fraude et la cybercriminalité ont causées des pertes estimées à plus de 3 Milliards € dans 125 pays  (~5% du chiffre d’affaires des entreprises concernées, avec une moyenne de 415 K€ par attaque en Europe).

Avec SAP S/4HANA, SAP propose des solutions pour contrôler des volumes importants de transactions, identifier en temps réel les menaces et transactions frauduleuses et ainsi limiter les risques de pertes financières.

L’Intelligence Artificielle émet des recommandations permettant d’affiner continuellement les règles de contrôle et l’identification de nouveaux schémas de fraude sur la base de données historiques internes comme externes. Les taux d’efficacité dans la détection des anomalies et des fraudes se trouvent considérablement améliorés.

Au-delà des multiples scénarios disponibles en standard, SAP complète son offre SAP S/4HANA par une plateforme d’innovations dans le cloud (Business Technology Platform) qui permet de développer des applications et extensions autour du cœur SAP S/4HANA.

À travers la Business Technology Platform, les départements financiers ont accès aux technologies innovantes tel que le Machine Learning, l’analyse prédictive, les chatbots ou encore la Blockchain, à partir desquelles ils peuvent imaginer de nouveaux cas d’usages.


(1) A future that works: Automation, employment and productivity, Mckinsey&Company

(2) Report to the Nations, ACFE

The post L’Intelligence Artificielle pour accélérer vos processus financiers appeared first on SAP France News.

Source de l’article sur sap.com