The Ultimate Mobile App Development Guide in 2022

Aditya Chakurkar | December 24, 2021 | 146 views

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Our lives will be facilitated by a myriad of adaptive applications running on different devices, with different sensors, all of them collecting tidbits about everything we do, and feeding big digital brains that can adapt applications to our needs simply because they get to know us.”

Márcio Cyrillo, Executive Director at CI&T

The world of technology has been advancing at a very fast pace, and the impact of the internet on our lives is significant. The mobile phone has become an integral part of our life, and its usage has increased manifold over the years. Mobile apps have changed the way we live.

Today,  numerous mobile apps are available that provide us with necessary information about businesses, entertainment, and more. Moreover, many people earn their livelihood by designing mobile apps for others or providing mobile app services via freelancer portals. If you are interested in learning about the mobile app development process, the best language to develop mobile apps, stages of mobile app development, and mobile app development framework,  this article can help you understand some concepts behind it.

What is mobile development?

Mobile app development is how a mobile app is created for a smartphone or tablet. It can be done by a developer, who may be employed by a company or freelance, or by a user who creates an app independently. There are different platforms that apps can be developed for, such as Android and iOS. There are several app development processes with diverse programming languages such as python mobile development, java mobile development, C++ app development, Dart app development, etc.

The first step in the mobile app development process is usually to develop an idea for an app. This may involve researching what apps are already out there and seeing if there is room for another or brainstorming ideas and then sketching out how the app would work. After the concept has been finalized, the next step is designing the mobile app development framework.

Mobile App Development Process

When designing or developing a mobile app, the first step is to determine if there is a demand for it. Many apps have been developed and launched without assessing this market aspect. A study conducted by a famous tech company revealed that over a third of downloaded applications are never used after being installed. A total waste, both of time and money!

This initial assessment does not require much input from the developer, as all that is needed is to look at how popular existing apps in the same field are. However, if certain aspects such as payment modes or form factors need to be precisely determined, those who work on designing can be asked what they think will work best for this application.

Pre-Development

This is the most fundamental stage of the mobile app development process. It encompasses the following considerations:

● Cost to expect
● Tech stack choices
● App development language
● The current mobile app market
● Basics of the mobile app to be developed
● UX/UI design
● Analysis and planning

Development

No matter what language you choose to develop a mobile app, teamwork is the ultimate driving force behind achieving the best results. Skilled developers can follow an agile methodology to develop a great mobile app while focusing on the following factors:

● Singular functionality
● Flexible planning
● Step by step development
● Early deployment
● Progressive enhancements
● Testing and reviewing

Post-Development

Once you finish the mobile app development, you must ensure it keeps running and performing. For that, you need to consider the following factors:

● Mistakes to avoid post mobile app launch
● Commercialisation of the app
● Mobile app promotions
● Costs involved
● Maintenance
● Upgrades

How to Choose the Best Language for Developing Mobile Apps?

When it comes to developing mobile apps, you have a lot of different programming languages to choose from. But which one is the best language for developing mobile apps?

Here are some factors to consider when making your decision:

The language’s popularity

The more popular a language is, the more support and resources you’ll have access to. This is important, especially if you’re new to app development.

The language’s ease of use

Not all languages are created equal – some are easier to learn than others. If you’re new to programming, choose an easy language to learn.

The language’s capabilities

Every language has its own set of features – some are better suited for mobile app development than others. Choose a language that has the features and capabilities you need.

The language’s platform support

Not all languages are supported by all mobile platforms. Make sure the language you choose is compatible with the platform you’re targeting.

Your development team’s skillset

The mobile app development process varies with languages – some are more difficult to learn than others. Make sure the language your development team is comfortable working with is on the list.

Your budget

The mobile app development process can be expensive – especially if you choose a language that requires special tools and/or support. Choose a language that is affordable for your project.

The language’s prospects

The language you choose should have a bright future, with plenty of room for growth. This is important, especially if you plan to continue developing your app over time.

When deciding the best language to develop mobile apps, it’s essential to consider all of these factors. Then,  by choosing the appropriate language, you can make the mobile app development process easier and more efficient – resulting in a better app in the end.

Python Mobile Development with Examples

Python is one of the most popular programming languages in the world. Most programmers prefer python mobile development because it is easy to use and relatively less inexpensive than other languages. Several social media giants like Instagram and Spotify use Python for its ability to create a seamless user experience. The following are the examples of Python apps:

● Reddit
● Uber
● Dropbox
● Disqus
● Pinterest

Mobile is the enabling centerpiece of digital convergence. Mobile is the glue for all other digital industries to use when approaching convergence, but mobile is also the digital gateway for the real world to join in this global metamorphosis of human behavior.”

Tomi Ahonen, consultant and speaker

Frequently Asked Questions


What is required for developing a mobile app?

The mobile app development process is about creating software apps that run on mobile devices and tablets. Some apps use the network connection to work with other resources. Generally, you have to consider the following things to develop a mobile app:

  • Developing installable assets like code or binaries
  • Executing backend services
  • Application testing on target devices


What is the future of mobile app development?

According to the data from Statista, around 28 billion apps were downloaded from Google Play Store and 7.9 million apps were downloaded from App Store in 2021. By the end of 2022, it is estimated that the US will spend more than $34 billion on mobile apps via app stores.

What types of mobile apps are in demand in 2021?

We love mobile apps as they bring the world to our palms. The following are the most popular and demanded types of mobile apps in 2021:

  • Gaming apps like PubG, Call of Duty, PokemonGo
  • Healthcare apps like Better Help, Teladoc, MDacne
  • Transportation apps like Uber, Rapido, Porter, BlackBuck
  • Food delivery apps like Zomato, Swiggy, UberEats
  • Social Media apps like Instagram, Facebook, Snapchat

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8 Epic App Innovations that Help Your Business Stand Out

Article | July 14, 2022

Increased use of the internet and smartphones demands better mobile applications be developed. Innovation is the key driving force that can make or break the market regarding mobile app development. A fantastic team of mobile app developers and smart innovation employing the latest technology produce a huge hit app. Let us learn more about how the mobile app development market grows. The Market for Mobile Application Development The mobile application development market is projected to grow at a 13.4% CAGR from 2023 to 2030, with a value of $187.58 billion recorded in 2021. This is due to the increased use of the internet and smartphone platforms, as well as artificial intelligence and machine learning. The app's algorithms learn and understand user interests to deliver refined results that generate better user engagement. As Ericsson and the Radicati Group forecasted, 6.64 billion people own a smartphone today, which is around 83.32% of the world population, and by 2025, 7.33 billion people will own a smartphone. As a result, there is a substantial rise in demand for better smartphone apps, for which creative and innovative mobile application development is the need of the hour. Innovation will give your business a competitive edge it's never had before. It will also open up new ways to grow your business. Discover the top innovations in mobile app development. Innovations in Mobile Application Development Some of the technological breakthroughs in mobile app development will greatly improve the user experience in the future. These focus mainly on the implementation of the latest technological innovations to realize functionality that has never been seen or done before. Let us now delve into their specifics. In-App Paid Features: Android and iOS Development While Android has a market share of 70%, iOS has grabbed a market share of around 28% in the mobile operating systems market as of 2022. In-app advertising and in-app purchases generate the major ROI from mobile applications on both mobile operating platforms. A great UI and UX go a long way toward boosting your app and business, and they also help you rank highly in the respective app markets, i.e., the Google Play Store and the App Store. Rolling out constant updates and adhering to the security standards of the marketplace keeps your business app ranking at the top. Augmented and virtual reality With the AR kit, you can design and make 3D mobile apps for your customers that use virtual reality. AR and VR are constantly changing the business of making mobile apps. You can use these trends to give mobile users really great experiences. A few of the sectors making successful use of these technologies include gaming, e-commerce, retail, interior design, real estate, tourism and travel, education, training, healthcare, manufacturing and construction, advertising and marketing, and entertainment. Your AR and VR mobile apps are more valuable if you can meet your expectations for maximum ROI with a minimum budget. You can do this by making constant improvements to your minimum viable product. Beacon Technology The beacon technology uses a smartphone's Bluetooth to identify any store, museum, or other business in the vicinity. As mobile devices get more powerful, IoT and edge sensors will be used more and more. Because of that, beacon technology will change the way we interact with the world. This technology sends notifications to your customer’s phone about your product when the customer passes by, sends content and descriptions about an ongoing event at your location to your customers, and more. Proximity marketing and indoor navigation notifications are the few ways retail is using this technology. With the help of beacon technology, your business can track assets, keep track of contacts, offer access to loyalty programs, gather advanced data, and send mobile tickets. Al and ML The versatility and power of innovations in Al and ML keep them relevant. For example, they let you turn pictures into animations that look real. These animations provide real-time analytics and other valuable insights. As an AI learns from its own experience, providing a better customer experience based on the data you feed it helps create intelligent chatbots. Personalized shopping assistance, fraud prevention, task automation, smart content, voice assistants, and autonomous vehicles are a few of the examples where you will see AI implemented. An AI trains itself through machine learning, or ML. ML forecasts future data trends using available historical data. This invaluable addition to your existing apps transforms the way they interact with customers. We are one step closer to a super-personalized experience. Wearables Wearables let you make calls, find your way to your destination, measure and analyze your vital signs in real time, and look at your own personal insights. So, app developers and businesspeople should focus on making apps that give people who use wearables a great digital experience. Getting better apps for wearable devices can greatly enhance their functionality and the user experience. From listening to your favorite music to tracking your fitness goals, taking notes, finding a parking spot, and adhering to your health and fitness regimen, a wearable device does it all. If developing your company’s wearable app delivers more value, this technology is not just a game changer but a lifesaver for many. Predictive analytics Predictive analytics is essential to e-commerce. When it comes to making mobile apps, predictive analysis can help improve both the process and the user experience. By putting together information from many developers, it can help predict problems and suggest solutions. Your predictive analytics will be better if you use artificial intelligence (AI), data mining, machine learning, modeling, and statistics. The data that your small and medium-scale businesses have gathered over a period of time becomes one of the most valuable sources of information that helps predict and forecast future market trends. Unexplained market rises and falls will now have an explanation, as will mobile apps that can precisely tell what, when, and where needs to be changed, replaced, or repaired. Using constants and variables that are already known, predictive analytics and data modeling can help make accurate predictions about the future. Blockchain Technology The world of blockchain has innumerable possibilities. Applications backed by blockchain technology benefit from end-to-end encryption. This means no one but you can retain data ownership rights. Blockchain technology is used for a lot of important communication and financial transactions because it is safe and private. Blockchain holds promise for better efficiency, productivity, and performance, as well as for elevating the user experience. Blockchain is more secure and reliable, offers better transparency in financial transactions, makes you go password-free using an SSL certificate (Secure Sockets Layer), promotes simplicity, protects your identity, safeguards access to your digital data and information, and helps transmit and receive accurate data with the help of balanced data transfer using several nodes at once. On-Demand Applications As lockdowns and quarantines went on for a long time, many delivery apps started to appear. There were apps for taxis, grocery stores, and even medicine delivery. The on-demand model is likely to grow as more service-based companies shift their focus towards on-demand apps. Technology is always changing, and every year, new versions of technology hit the market. That's why we need to keep up with the latest updates and use them to make applications that are both new and full of features. That's a must for a successful launch of a mobile app. Making the development process easy for the developers reduces the time it takes to develop applications using the software. There are options like rapid application development software, no code, and low-code application development software. These can include mobile app development, SaaS (software as a service), cloud apps, on-premise standalone apps, desktop apps, and web-based apps for many devices, including IoT devices. Using AI to power the application development process speeds up development, testing, and deployment, which helps a lot with scaling from small to medium to large and beyond. Some quick and effective mobile app development platforms include Quixey, Zoho Creator, AppyPie, AppSheet, Bizness Apps, Appery.io, iBuldApp, Shoutem, Rollbar, JIRA, AppInstitute, GoodBarber, Caspio, and more. Long-Term Benefits of Mobile App Development Innovations for Your Small Business: Creating a winning product doesn’t have to be a long process. Improvements on the product offered by competitors and finding competitor product shortcomings, along with using innovative technologies, help add value to your mobile app as a product. Mobile app development innovations help in many ways, such as: Improve your brand's relationship with your customers. Offer 24/7 access to your business, Get excellent customer insights, Efficiently market your product online, Save on additional marketing costs, Boost employee efficiency by increasing engagement. Improve communication, shreds down the busy work and Streamline the data. Generate a new revenue stream from ads targeted at in-app purchases. As a result, you meet customer expectations efficiently, allowing you to expand your business and attract potential customers. Your customers and potential customers are always looking for something new and exciting to experience and adopt. Sooner or later, they make habits of seeing something, and then they start thinking of that mobile app as a standard benchmark to look up to. Talking about the scalability of a mobile application, there is a lot of scope to improve using innovative technologies, and all minor to major updates take you from where you are to where you want to be. Finding the right mix of technologies will help your business grow and expand. Tying everything together Business growth for small-scale businesses starts with new inputs and strategic technological investments in mobile app development. Although they sound promising, striking the right balance to implement innovative technologies relies heavily on rigorous predictive analysis. Tools and technologies help meet customer expectations at scale and grow the business beyond imagination with the power of innovation.

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Empowering Industry 4.0 with Artificial Intelligence

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The next step in industrial technology is about robotics, computers and equipment becoming connected to the Internet of Things (IoT) and enhanced by machine learning algorithms. Industry 4.0 has the potential to be a powerful driver of economic growth, predicted to add between $500 billion- $1.5 trillion in value to the global economy between 2018 and 2022, according to a report by Capgemini.

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How Artificial Intelligence Is Transforming Businesses

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Whilst there are many people that associate AI with sci-fi novels and films, its reputation as an antagonist to fictional dystopic worlds is now becoming a thing of the past, as the technology becomes more and more integrated into our everyday lives. AI technologies have become increasingly more present in our daily lives, not just with Alexa’s in the home, but also throughout businesses everywhere, disrupting a variety of different industries with often tremendous results. The technology has helped to streamline even the most mundane of tasks whilst having a breath-taking impact on a company’s efficiency and productivity

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The advances of AI in healthcare

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With the Government investing £250 million into the project, the Lab will consider how to use AI for the benefit of patients – whether this be the deployment of existing AI methods, the development of new technologies or the testing of their safety. Amongst other things, the initiative will aim to deliver earlier diagnoses of cancer. It is estimated that in excess of 50,000 extra patients could see their cancer being detected at an early stage, thus boosting survival rates. More specifically, a study has shown that AI is quicker in identifying brain tumour tissue than a pathologist.This would have a positive knock-on effect in other areas, such as enabling money to be saved (that otherwise would have been spent on further treatment) and reducing the workload of staff (at a time when there is a crisis in NHS workforce numbers).

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GetResponse Introduces AI Product Recommendations to Help Businesses Boost Their Sales

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GetResponse, email marketing, and marketing automation software, announces the launch of AI Product Recommendations. The solution employs artificial intelligence to revolutionize the customer journey and experience. The feature allows shop owners to maximize their conversions by showing products to visitors with the highest probability to convert, based on their past behavior and transactional history, to increase upsells and cross-sells. Shop owners can also improve their store UX because the recommendations block serves as a navigation tool, increasing the time customers spend on the website, thus also growing conversions. Businesses can analyze store traffic and users' behavior with AI to make better business decisions. "Our goal at GetResponse has always been to deliver cutting-edge tools focused on driving conversions without the extra hassle of increased budgets or lengthy implementation cycles. "After months of work, businesses can now benefit by personalizing the omnichannel experience for their customers, both on their websites and mailing." Mac Ossowski, Board Member and Director of GetResponse MAX The AI Product Recommendations launch comes just in time for businesses to benefit from the lucrative holiday season. "The important point is that it verifies each product against the stock availability, so there are no missed clicks for the customers. Shop owners can significantly increase their ROI and AOV," Ossowski said. AI Product Recommendations powers ecommerce businesses at scale, providing the following types of product recommendations: Recommended for you: a self-learning model that displays recommendations with the highest probability of conversion for a specific customer. Most viewed in category: the algorithm recommends products with the most views within a specific category. Most similar in category: the algorithm displays products based on their similarities in names and descriptions. Recently visited in-store: visitors see product recommendations based on their previous visits to the store. Others also viewed/purchased in-store: AI suggests products other customers have checked or purchased in-store. Rule-driven recommendations: the store owner defines the products they want to promote to their customers. About GetResponse Founded in 1997, GetResponse, a powerful email marketing, and marketing automation software, has more than 20 years of experience empowering businesses to run online marketing effectively. Along with 24/7 customer support available in eight languages, GetResponse features more than 30 tools – email marketing, website builder, conversion funnel, marketing automation, and more.

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Contentsquare Releases Breakthrough AI Innovation to Help Brands Accurately Detect Frustrations and Optimize User Journeys

Contentsquare | December 01, 2022

Contentsquare, the global leader in digital experience analytics, today announced it has enhanced its CS Insights product with new AI-powered capabilities that will improve the way businesses fix user frustration at scale. This new, industry-first capability will add a layer of precision to CS Insights, allowing teams to contextualize behaviors and unlock a deeper understanding of how and why customers are interacting with the content on their site. For example, teams will be able to use AI to differentiate between a user searching for a product by clicking multiple times on a product carousel vs. a user rage clicking, demonstrating rising frustration. By leveraging AI to smarten up its insights, Contentsquare is helping businesses better detect frustration along the customer journey and prioritize the right optimizations. For example, a high number of clicks on a home page slider typically signifies positive engagement whereas frequent interaction with the search box and form fields typically signifies users are struggling to accomplish their goals. Moreover, with the newly-enhanced CS Insights, customers can easily visualize these events as each zone analyzed clearly identifies the nature of the frustration — whether it’s a preview of the zone affected by a rage click, multiple interactions with the same field, and more. As the pioneer of in-page, content-zone based experience analytics, Contentsquare is already providing teams with an in-depth understanding of how customers interact with each element of a page (or “zone”). With today’s release, Contentsquare is going one step further and adding a contextual layer to this analysis that takes into account what each element was designed to help customers achieve. “Contentsquare goes the extra mile, by increasing the precision of its AI insights and taking context into consideration — something no other provider in our category has done. Not only does this give our customers a three-dimensional view of user behavior, it also helps them take smarter action, faster, for continuous optimization of the customer journey,” said Vincent Colombet, Head of Product at Contentsquare. “I could not imagine using Contentsquare without CS Insights. It guides us on where to start on our site, focusing on pages with the most conversion loss,” said Allix Berkman, UX/UI Specialist atCanon Inc. “We continuously refine our AI algorithm to make it more powerful, relevant, and context-aware. Recent AI improvements are all focused on surfacing more actionable and contextual insights. “We are excited about this new capability and are confident that it will help our customers drive value for their users and help them prioritize what their businesses need most.” Lucie Buisson, Chief Product Officer at Contentsquare With economic uncertainty forcing businesses to achieve more with less, businesses are putting in extra effort to ensure their digital channels are free of undiscovered blockers and frustrations that stand in the way of customer happiness and retention. No business today can afford to lose transactions unnecessarily, let alone to waste the goodwill of customers to a needlessly frustrating online experience. However, efficiently harnessing insights from billions of data points without spending hours and hours remains the biggest challenge. That's why hundreds of Contentsquare's customers have been using its CS Insights product to automatically surface the areas of frustration that most impact revenue, resulting in much faster time to issue identification and resolution. About Contentsquare Contentsquare delivers the power to make the digital world more human. Its AI-powered platform provides rich and contextual insight into customer behaviors, feelings and intent — at every touchpoint in their journey — enabling businesses to build empathy and create lasting impact. The global leader in digital experience analytics, Contentsquare helps brands everywhere transform the way they do business, allowing them to take action at enterprise scale and build customer trust with security, privacy and accessibility. More than 1000 leading brands use Contentsquare to grow their business, deliver more customer happiness and move with greater agility in a constantly changing world. Its insights power the customer experience on over 1 million websites worldwide. Founded in Paris and with offices around the world, Contentsquare has raised $1.4B in investment funding from leading investors, including funds and accounts managed by BlackRock, Bpifrance, Canaan, Eurazeo, Highland Europe, KKR, LionTree, Sixth Street and SoftBank Vision Fund 2.

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Cerebras Systems and Jasper Partner on Pioneering Generative AI Work

Cerebras Systems | November 30, 2022

Jasper, the category-leading AI content platform, and Cerebras Systems, the pioneer in accelerating artificial intelligence (AI) compute, today announced a partnership to accelerate adoption and improve the accuracy of generative AI across enterprise and consumer applications. Using Cerebras’ newly announced Andromeda AI supercomputer, Jasper can train its profoundly computationally intensive models in a fraction of the time and extend the reach of generative AI models to the masses. The rise of generative AI is one of the most important technological waves in recent history, enabling the ability to write documents, create images, and code software all from ordinary text inputs. Based on sophisticated generative AI models, Jasper’s products are used by nearly 100,000 customers around the world to write copy for marketing, ads, books, and more. With the power of the Cerebras Andromeda supercomputer, Jasper expects to dramatically advance AI work, including training GPT networks to fit AI outputs to all levels of end-user complexity and granularity. This improves the contextual accuracy of generative models and will enable Jasper to personalize content across multiple classes of customers quickly and easily. “At Jasper we eliminate the tyranny of the blank page. Our platform provides an AI co-pilot for creators and businesses to focus on the key elements of their story, not the mundane. The most important thing to us is the quality of outputs our users receive. We are hyper-focused on continuously adapting our AI models to meet our customers’ needs,” said Dave Rogenmoser, CEO of Jasper. “Partnering with Cerebras enables us to invent the future of generative AI, by doing things that are impractical or simply impossible with traditional infrastructure. Our collaboration with Cerebras accelerates the potential of generative AI, bringing its benefits to our rapidly growing customer base around the globe.” “Our mission is to build the fastest AI hardware for the most complicated AI problems. Our recent introduction of Andromeda, the industry’s largest supercomputer, advanced this vision by enabling our partners to train large language models more quickly, to higher accuracy, with better results in less time and with less energy. “Jasper is a category-defining company and the exact type of customer we build for – customers that are trying to transform economies with AI, who are unafraid to venture beyond the status quo and who are interested in doing pioneering work by inventing new approaches to deliver extraordinary results.” Andrew Feldman, founder and CEO of Cerebras Announced at SC22, the 13.5 million AI core Andromeda supercomputer delivers industry-leading performance and near perfect linear scaling without traditional distributed computing and parallel programming pains, enabling Jasper to efficiently design and optimize their next set of models. In initial work, on small workloads Andromeda was faster than 800 GPUs and on large complex workloads, it completed work that thousands of GPUs were incapable of doing. In a recent publication on Gordon Bell award-winning work, the authors wrote, “We note that for the larger model sizes (2.5B and 25B), training on the 10,240 sequence length data was infeasible on GPU-clusters due to out-of-memory errors during attention computation…. To enable training of the larger models on the full sequence length (10,240 tokens), we leveraged AI-hardware accelerators such as Cerebras CS-2, both in a stand-alone mode and as an inter-connected cluster.” It is these very GPU impossible workloads that Jasper has begun exploring, in the quest for more accurate and relevant models, trained in less time with less energy. Andromeda is now available for commercial customers, as well as for academics and graduate students. Andromeda is deployed in Santa Clara, California, in 16 racks at Colovore, a leading high performance data center. The 16 CS-2 systems, with a combined 13.5 million AI optimized cores are fed by 284 64-core AMD Epyc Gen 3 x86 processors. The SwarmX fabric, which links the MemoryX parameter storage solution to the 16 CS-2s, provides more than 96.8 terabits of bandwidth. Through gradient accumulation Andromeda can support all batch sizes, a characteristic profoundly different from GPU clusters. About Cerebras Systems Cerebras Systems is a team of pioneering computer architects, computer scientists, deep learning researchers, and engineers of all types who have come together to build a new class of computer system. That system is designed for the singular purpose of accelerating AI and changing the future of AI work forever, enabling customers to accelerate their deep learning work by orders of magnitude. 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GetResponse Introduces AI Product Recommendations to Help Businesses Boost Their Sales

GetResponse | November 29, 2022

GetResponse, email marketing, and marketing automation software, announces the launch of AI Product Recommendations. The solution employs artificial intelligence to revolutionize the customer journey and experience. The feature allows shop owners to maximize their conversions by showing products to visitors with the highest probability to convert, based on their past behavior and transactional history, to increase upsells and cross-sells. Shop owners can also improve their store UX because the recommendations block serves as a navigation tool, increasing the time customers spend on the website, thus also growing conversions. Businesses can analyze store traffic and users' behavior with AI to make better business decisions. "Our goal at GetResponse has always been to deliver cutting-edge tools focused on driving conversions without the extra hassle of increased budgets or lengthy implementation cycles. "After months of work, businesses can now benefit by personalizing the omnichannel experience for their customers, both on their websites and mailing." Mac Ossowski, Board Member and Director of GetResponse MAX The AI Product Recommendations launch comes just in time for businesses to benefit from the lucrative holiday season. "The important point is that it verifies each product against the stock availability, so there are no missed clicks for the customers. Shop owners can significantly increase their ROI and AOV," Ossowski said. AI Product Recommendations powers ecommerce businesses at scale, providing the following types of product recommendations: Recommended for you: a self-learning model that displays recommendations with the highest probability of conversion for a specific customer. Most viewed in category: the algorithm recommends products with the most views within a specific category. Most similar in category: the algorithm displays products based on their similarities in names and descriptions. Recently visited in-store: visitors see product recommendations based on their previous visits to the store. Others also viewed/purchased in-store: AI suggests products other customers have checked or purchased in-store. Rule-driven recommendations: the store owner defines the products they want to promote to their customers. About GetResponse Founded in 1997, GetResponse, a powerful email marketing, and marketing automation software, has more than 20 years of experience empowering businesses to run online marketing effectively. Along with 24/7 customer support available in eight languages, GetResponse features more than 30 tools – email marketing, website builder, conversion funnel, marketing automation, and more.

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Contentsquare Releases Breakthrough AI Innovation to Help Brands Accurately Detect Frustrations and Optimize User Journeys

Contentsquare | December 01, 2022

Contentsquare, the global leader in digital experience analytics, today announced it has enhanced its CS Insights product with new AI-powered capabilities that will improve the way businesses fix user frustration at scale. This new, industry-first capability will add a layer of precision to CS Insights, allowing teams to contextualize behaviors and unlock a deeper understanding of how and why customers are interacting with the content on their site. For example, teams will be able to use AI to differentiate between a user searching for a product by clicking multiple times on a product carousel vs. a user rage clicking, demonstrating rising frustration. By leveraging AI to smarten up its insights, Contentsquare is helping businesses better detect frustration along the customer journey and prioritize the right optimizations. For example, a high number of clicks on a home page slider typically signifies positive engagement whereas frequent interaction with the search box and form fields typically signifies users are struggling to accomplish their goals. Moreover, with the newly-enhanced CS Insights, customers can easily visualize these events as each zone analyzed clearly identifies the nature of the frustration — whether it’s a preview of the zone affected by a rage click, multiple interactions with the same field, and more. As the pioneer of in-page, content-zone based experience analytics, Contentsquare is already providing teams with an in-depth understanding of how customers interact with each element of a page (or “zone”). With today’s release, Contentsquare is going one step further and adding a contextual layer to this analysis that takes into account what each element was designed to help customers achieve. “Contentsquare goes the extra mile, by increasing the precision of its AI insights and taking context into consideration — something no other provider in our category has done. Not only does this give our customers a three-dimensional view of user behavior, it also helps them take smarter action, faster, for continuous optimization of the customer journey,” said Vincent Colombet, Head of Product at Contentsquare. “I could not imagine using Contentsquare without CS Insights. It guides us on where to start on our site, focusing on pages with the most conversion loss,” said Allix Berkman, UX/UI Specialist atCanon Inc. “We continuously refine our AI algorithm to make it more powerful, relevant, and context-aware. Recent AI improvements are all focused on surfacing more actionable and contextual insights. “We are excited about this new capability and are confident that it will help our customers drive value for their users and help them prioritize what their businesses need most.” Lucie Buisson, Chief Product Officer at Contentsquare With economic uncertainty forcing businesses to achieve more with less, businesses are putting in extra effort to ensure their digital channels are free of undiscovered blockers and frustrations that stand in the way of customer happiness and retention. No business today can afford to lose transactions unnecessarily, let alone to waste the goodwill of customers to a needlessly frustrating online experience. However, efficiently harnessing insights from billions of data points without spending hours and hours remains the biggest challenge. That's why hundreds of Contentsquare's customers have been using its CS Insights product to automatically surface the areas of frustration that most impact revenue, resulting in much faster time to issue identification and resolution. About Contentsquare Contentsquare delivers the power to make the digital world more human. Its AI-powered platform provides rich and contextual insight into customer behaviors, feelings and intent — at every touchpoint in their journey — enabling businesses to build empathy and create lasting impact. The global leader in digital experience analytics, Contentsquare helps brands everywhere transform the way they do business, allowing them to take action at enterprise scale and build customer trust with security, privacy and accessibility. More than 1000 leading brands use Contentsquare to grow their business, deliver more customer happiness and move with greater agility in a constantly changing world. Its insights power the customer experience on over 1 million websites worldwide. Founded in Paris and with offices around the world, Contentsquare has raised $1.4B in investment funding from leading investors, including funds and accounts managed by BlackRock, Bpifrance, Canaan, Eurazeo, Highland Europe, KKR, LionTree, Sixth Street and SoftBank Vision Fund 2.

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AI TECH,GENERAL AI,AI APPLICATIONS

Cerebras Systems and Jasper Partner on Pioneering Generative AI Work

Cerebras Systems | November 30, 2022

Jasper, the category-leading AI content platform, and Cerebras Systems, the pioneer in accelerating artificial intelligence (AI) compute, today announced a partnership to accelerate adoption and improve the accuracy of generative AI across enterprise and consumer applications. Using Cerebras’ newly announced Andromeda AI supercomputer, Jasper can train its profoundly computationally intensive models in a fraction of the time and extend the reach of generative AI models to the masses. The rise of generative AI is one of the most important technological waves in recent history, enabling the ability to write documents, create images, and code software all from ordinary text inputs. Based on sophisticated generative AI models, Jasper’s products are used by nearly 100,000 customers around the world to write copy for marketing, ads, books, and more. With the power of the Cerebras Andromeda supercomputer, Jasper expects to dramatically advance AI work, including training GPT networks to fit AI outputs to all levels of end-user complexity and granularity. This improves the contextual accuracy of generative models and will enable Jasper to personalize content across multiple classes of customers quickly and easily. “At Jasper we eliminate the tyranny of the blank page. Our platform provides an AI co-pilot for creators and businesses to focus on the key elements of their story, not the mundane. The most important thing to us is the quality of outputs our users receive. We are hyper-focused on continuously adapting our AI models to meet our customers’ needs,” said Dave Rogenmoser, CEO of Jasper. “Partnering with Cerebras enables us to invent the future of generative AI, by doing things that are impractical or simply impossible with traditional infrastructure. Our collaboration with Cerebras accelerates the potential of generative AI, bringing its benefits to our rapidly growing customer base around the globe.” “Our mission is to build the fastest AI hardware for the most complicated AI problems. Our recent introduction of Andromeda, the industry’s largest supercomputer, advanced this vision by enabling our partners to train large language models more quickly, to higher accuracy, with better results in less time and with less energy. “Jasper is a category-defining company and the exact type of customer we build for – customers that are trying to transform economies with AI, who are unafraid to venture beyond the status quo and who are interested in doing pioneering work by inventing new approaches to deliver extraordinary results.” Andrew Feldman, founder and CEO of Cerebras Announced at SC22, the 13.5 million AI core Andromeda supercomputer delivers industry-leading performance and near perfect linear scaling without traditional distributed computing and parallel programming pains, enabling Jasper to efficiently design and optimize their next set of models. In initial work, on small workloads Andromeda was faster than 800 GPUs and on large complex workloads, it completed work that thousands of GPUs were incapable of doing. In a recent publication on Gordon Bell award-winning work, the authors wrote, “We note that for the larger model sizes (2.5B and 25B), training on the 10,240 sequence length data was infeasible on GPU-clusters due to out-of-memory errors during attention computation…. To enable training of the larger models on the full sequence length (10,240 tokens), we leveraged AI-hardware accelerators such as Cerebras CS-2, both in a stand-alone mode and as an inter-connected cluster.” It is these very GPU impossible workloads that Jasper has begun exploring, in the quest for more accurate and relevant models, trained in less time with less energy. Andromeda is now available for commercial customers, as well as for academics and graduate students. Andromeda is deployed in Santa Clara, California, in 16 racks at Colovore, a leading high performance data center. The 16 CS-2 systems, with a combined 13.5 million AI optimized cores are fed by 284 64-core AMD Epyc Gen 3 x86 processors. The SwarmX fabric, which links the MemoryX parameter storage solution to the 16 CS-2s, provides more than 96.8 terabits of bandwidth. Through gradient accumulation Andromeda can support all batch sizes, a characteristic profoundly different from GPU clusters. About Cerebras Systems Cerebras Systems is a team of pioneering computer architects, computer scientists, deep learning researchers, and engineers of all types who have come together to build a new class of computer system. That system is designed for the singular purpose of accelerating AI and changing the future of AI work forever, enabling customers to accelerate their deep learning work by orders of magnitude. About Jasper Founded in 2021, Jasper is an AI Content Platform that enables individuals and teams to leverage AI to scale their content strategies. With Jasper, anyone from individual freelancers to creators at enterprise companies can break through writer's block, repackage what they've written, create original images, and adapt their content to different formats and languages. Jasper, has been recognized as "one of America's fastest-growing private companies" by Inc. 5000.

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