{"id":25482,"date":"2021-01-09T06:00:06","date_gmt":"2021-01-09T14:00:06","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=25482"},"modified":"2021-01-08T14:57:41","modified_gmt":"2021-01-08T22:57:41","slug":"why-2021-is-the-year-of-low-code","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2021\/01\/09\/why-2021-is-the-year-of-low-code\/","title":{"rendered":"Why 2021 is The Year of Low-Code"},"content":{"rendered":"\n

Forrester<\/a> analysts estimate 75% of all enterprise software will be built with low-code technology this year. As the pandemic\u2019s impact continues well into 2021, IT leaders will continue to rely on rapid, agile low-code software development platforms to roll out business critical solutions and expand digital channels. Platforms that integrate augmented reality, holistic multi-experiences, and easy enterprise data access will enable organizations to navigate continued economic uncertainty.<\/p>\n\n\n\n

\u201cUnder very challenging and difficult circumstances, low-code was able to showcase its value, delivering new apps for organizations within days and sometimes overnight,\u201d said Nick Ford, vice president of product and solutions marketing for Mendix. \u201cThese real-world success stories set a new benchmark for what the future technology landscape looks like.\u201d<\/p><\/blockquote>\n\n\n\n

Our friends over at Mendix<\/a> offer the following low-code observations for 2021 and beyond:<\/p>\n\n\n\n

1. Low-<\/strong>code platforms evolve beyond application development<\/strong><\/p>\n\n\n\n

Gartner concurs with Forrester that 75% of all application development will soon be built on low-code platforms. Best-of-breed offerings will be ones that provide \u201call-in-one\u201d capabilities, expanding low-code\u2019s core principles of abstraction, automation, and seamless connectivity into adjacent technologies and services. <\/p>\n\n\n\n

\u201cEvolving low-code ecosystems will underpin business innovation\u201d said Johan den Haan, Mendix CTO. \u201cThe technology stack will expand horizontally, to have an integrated developer experience with drag-and-drop simplicity for data integration, data science insights, building AI solutions, and creating multi-experiences.\u201d<\/p><\/blockquote>\n\n\n\n

2. Computing power makes a massive migration to the edge<\/strong><\/p>\n\n\n\n

Edge computing, which pushes “computational” work as close as possible to the point of data collection, will attain critical mass in 2021. Already, more than 50% of new enterprise IT infrastructure will adopt<\/a> edge computing as an alternative to massively centralized data centers, for proprietary data or in situations (such as transportation or defense) that need to make decisions in real-time and cannot afford the delays caused by round trips to the cloud. Also, 34% of global manufacturers plan<\/a> to incorporate IoT technology into their operations and embed IoT technology into their products this year. <\/p>\n\n\n\n

\u201cLow-code software development leverages this ecosystem to reduce complexity,\u201d said den Haan. \u201cIn this environment, apps that can extract actionable data and business intelligence empower industrial enterprises in particular \u2014 but also any enterprise with connected physical assets \u2014 to optimize all manner of operations and explore new opportunities for innovation.\u201d\u00a0\u00a0\u00a0<\/p><\/blockquote>\n\n\n\n

3. Multi-experience moves beyond web and mobile<\/strong><\/p>\n\n\n\n

In the next iteration of multi-experience, developers will extend the consumer\u2019s cohesive experience across devices and touchpoints with data from back-end systems for a unified experience on mobile, web app, live person, or chat bot. <\/p>\n\n\n\n

\u201cIn 2021, multi-experience evolves into a total experience, using information, integration, and efficiency to generate customer retention and loyalty,\u201d says Gordon Van Huizen, vice president of platform strategy for Mendix. \u201cThat requires the enterprise to break down silos, automating across functions, and communicating across departments on every device to optimize both the customer and employee user experience. Organizations will be forced to think holistically about the automation underpinning the employee\u2019s workflow and how that interacts with an excellent customer experience.\u201d<\/p><\/blockquote>\n\n\n\n

4. Augmented reality drives business success in the new normal<\/strong><\/strong><\/p>\n\n\n\n

From NASA simulations in the sixties to \u201cwearable tech\u201d popularized by Google Glass, Microsoft HoloLens, and Oculus Quest, augmented reality (AR) has been marked historically by the search for lightweight, user-friend devices with enough computing power to deliver a unique immersive experience. In 2021, AR\u2019s ability to visualize information, enable training and consultation, and facilitate remote work on \u201cdigital twin\u201d models will move beyond the enterprise to transform live entertainment and retail experiences stymied by the pandemic. <\/strong><\/p>\n\n\n\n

\u201cNecessity is the mother of invention,\u201d said Nick Ford. \u201cGiven last year\u2019s uptick in layoffs, empty cinemas, malls, and storefronts, we can expect forward-thinking commercial property managers, retail consortiums, and live venue managers to transform unused physical sites. Low-code software development will enable those organizations to successfully pivot to augmented reality to digitalize their physical assets, and bring these experiences safely to people wherever they are.\u201d<\/p><\/blockquote>\n\n\n\n

5.  <\/strong>AI without the training wheels<\/strong><\/p>\n\n\n\n

Expect a breakthrough this year in applied AI use cases as San Francisco\u2019s OpenAI<\/a> consortium makes its new API, GTP-3<\/a>, \u201cGenerative Pre-trained Transformer 3,\u201d widely available. The powerful general-purpose language model removes the need to train AI algorithms on massive training datasets and expensive computational hardware. In doing so, the nonprofit consortium mimics a core principle of low-code platforms, using abstraction and automation to speed AI neural network training.<\/p>\n\n\n\n

\u201cWe can expect R&D teams and software engineers this year to explore new uses for AI that can be customized with much smaller amounts of data,” said den Haan. “It will certainly remove barriers to entry, lower costs, and spur innovation.\u201d<\/p><\/blockquote>\n\n\n\n

Already, AI technology is widely adopted<\/a> across economic sectors, including finance, healthcare, defense, transportation, criminal justice, smart cities, and urban planning use cases. <\/p>\n\n\n\n

\u201cWe\u2019re going to see an exponential growth in embedded AI tooling for productivity gains, for analysis and recommendations. The public may not realize that AI-enabled decision-making is taking place in physical settings, whether it\u2019s applying for a loan, getting a speeding ticket, or being rerouted on city streets to make way for emergency vehicles,\u201d said den Haan.<\/p><\/blockquote>\n\n\n\n

6<\/strong>. Composable enterprise <\/strong>enables industries to scale innovation<\/strong><\/p>\n\n\n\n

Last year, Gartner predicted<\/a> the growth of prepackaged digitalized business capabilities. This year, new marketplaces<\/a> for best-of-breed digital components that leverage industry-specific data and insights will spur widespread adoption by enterprises seeking to reuse, recompose or recombine digital functionality. <\/p>\n\n\n\n

\u201cThe economic imperative fueling every organization\u2019s digital transformation project is too large and time-sensitive for IT leaders to build solutions from scratch,\u201d said Van Huizen. \u201cThe potential of the composable enterprise lies in the enterprise\u2019s ability to reuse automated, vetted functionality to dramatically lower costs and scale-up time to value.\u201d<\/p><\/blockquote>\n\n\n\n

7. <\/strong>Integration and development are increasing synonymous<\/strong><\/strong><\/p>\n\n\n\n

The growth of democratized, cognitive services and digital hubs that enable the full spectrum of developer talent to discover and use data in purpose-built applications will result in the merging of aPaaS<\/a> (application platforms as a service) and iPaaS<\/a> (integration platform as a service) software categories. <\/p>\n\n\n\n

\u201cThe ability to discover and leverage enterprise data underpins every successful software initiative,\u201d said Van Huizen. \u201cMaking enterprise data assets available to nontechnical business experts enables these citizen developers to rapidly assemble intelligent improvements in the domains they know best. Combining these tools into one collaborative developer environment enables the enterprise to scale that rare quality\u2014next-gen innovation.\u201d<\/p><\/blockquote>\n\n\n\n

8. Low-code fulfills elusive promise of <\/strong>workflow automation<\/strong><\/p>\n\n\n\n

Business process experts will assume an active role in developing process solutions by leveraging workflow editors and drag-and-drop integration to drive automation and operational efficiency. <\/p>\n\n\n\n

\u201cThe need to automate a series of tasks in a certain order by employees across the enterprise has always been driven by departmental needs,\u201d said Nick Ford. \u201cThis functionality should not sit outside the portfolio of enterprise software. This year, we\u2019ll increasingly see workflow enablement embedded in the fabric of every tailored application built by low-code developers.\u201d<\/p><\/blockquote>\n\n\n\n

Bonus: Return of the human connection<\/strong><\/p>\n\n\n\n

After 2020\u2019s annus horribilis,<\/em> 2021 will be an annus mirabilis.<\/em> <\/p>\n\n\n\n

\u201cWe predict that 2021 will be the calm after<\/em> the storm,\u201d concludes den Haan. \u201cTechnology helped us endure these long months of pandemic-related separation. This year, we look forward to the closeness of friends, a firm handshake, and sharing a pint or a coffee with colleagues.\u201d<\/p><\/blockquote>\n\n\n\n

Sign up for the free insideBIGDATA newsletter<\/a>.<\/em><\/p>\n\n\n\n

Join us on Twitter: @InsideBigData1 \u2013 https:\/\/twitter.com\/InsideBigData1<\/a><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

Forrester analysts estimate 75% of all enterprise software will be built with low-code technology this year. As the pandemic\u2019s impact continues well into 2021, IT leaders will continue to rely on rapid, agile low-code software development platforms to roll out business critical solutions and expand digital channels. Platforms that integrate augmented reality, holistic multi-experiences, and easy enterprise data access will enable organizations to navigate continued economic uncertainty.<\/p>\n","protected":false},"author":10513,"featured_media":22835,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[115,180,268,56,97,1],"tags":[968,922,96],"acf":[],"yoast_head":"\nWhy 2021 is The Year of Low-Code - insideBIGDATA<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/insidebigdata.com\/2021\/01\/09\/why-2021-is-the-year-of-low-code\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Why 2021 is The Year of Low-Code - insideBIGDATA\" \/>\n<meta property=\"og:description\" content=\"Forrester analysts estimate 75% of all enterprise software will be built with low-code technology this year. 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