Computer trends 2019

Here are some ICT trends for year 2019 picked from various sources (linked to sources) and edited by me:

General: From AI to Moore’s Law, the entire industry is deep in the throes of massive changes. The future will be characterized by smart devices delivering increasingly insightful digital services everywhere. While CPUs continue to evolve, performance is no longer limited to a single processor type or process geometry.

Business: There seems to be a clear evidence from this research that businesses are adopting and looking to capitalise on the benefits of Big Data, the Internet Of Things and Sensor technology for their mobile workforces.

Open source: 2019 Will Be the Year of Open Source in software and even in hardware. We saw more activity in open source than ever before in 2018. And the momentum isn’t likely to slow down in 2019.

Web is mobile: According to the statistics of FICORA, Ofcom, the PC has lost its place as the first device and platform for web browsing. Almost half of the web browses the web with a smart phone, which places a requirement on all online services from shops to news sites.

Multiple devices: As the number of different IT devices continues to grow, there are more and more devices in use at the same time.
 Situations and tasks that utilize and use multiple devices together have become commonplace. We need to think how how user interfaces could better support multi-device sharing.

Artificial intelligence: It seems that AI Market Ramps Everywhere. The AI term creates hope for some, fear for others, and confusion for all. Artificial intelligence (AI) is what the Internet of Things was two years ago – overhyped and not very well understood. The obvious shift is the infusion of AI (and its subcategories, machine learning and deep learning) into different markets. It seems that you don’t need to be artificial intelligence wizard anymore to use some AI – at best, implementation can be picked up by GitHub without really understanding anything. AI Still Has Trust Issues for many. There are also views that now hot artificial intelligence is the bubble that broke out last in the 1990s because at present, artificial intelligence and man form a bad cyborg. You need to separate AI Hype From Reality because it seems to be a miraculous thing where almost nobody knows what it is.

AI chips: While GPUs are well-positioned in machine learning, data type flexibility and power efficiency are making FPGAs increasingly attractive. Today, selling custom chips for artificial intelligence is still a small business. Intel, the largest manufacturer of computer processors, has appraised the current market at $2.5 billion, one half of one percent of the estimated value of the 2018 global semiconductor market. At a press event at the 2019 Consumer Electronics Show, Intel announced the Nervana Neural Network Processor (NNP-I), an AI chip for inference-based workloads that fits into a GPU-like form factor. Google and NXP advance artificial intelligence with the Edge TPU.

AI-driven development: AI-driven development looks at tools, technologies and best practices for embedding AI into applications and using AI to create AI-powered tools for the development process.

Huge data: It seems that It’s All About The Data. Data creation, management and processing always have been a winning business formula. It takes lots of data to train AI systems and IoT systems generate a lot of data.Data scientists now have increasing amounts of data to prepare, analyze and group — and from which to draw conclusions. The entire tech industry has changed in several fundamental ways over the past year due to the massive growth in data. Many data science tasks will be automated. Hardware and software are no longer the starting points for technology design. It’s now about data processing, flow and throughput.

Digital twins: A digital twin is a digital representation that mirrors a real-life object, process or system. Digital twins can also be linked to create twins of larger systems, such as a power plant or city. The idea of a digital twin is not new but is has become hot when AI and IoT were added to the mix.

Edge computing: Edge computing is a topology where information processing and content collection and delivery are placed closer to the sources of the information, with the idea that keeping traffic local will reduce latency. Currently, much of the focus of this technology is a result of the need for IoT systems to deliver disconnected or distributed capabilities into the embedded IoT world.

Power consumption: Globally, ICT today consumes 8% of all electricity and doubles every year. I think we needs new semiconductor technologies and maybe also more optimized software that does more but consumes less power.

Memories: DRAM market growth stops in 2019. GDDR6 and HBM2 impacts system design. There is disparity between the different types of DRAM, from GDDR to HBM.

Faster storage: Apacer has CFexpress card, which supports PCIe and the new NVMe 1.3 protocol, transfers data at a rate of two gigabytes per second.

Heterogeneous architectures: Need for increased computing power requires new multi-processor architectures (hybrid processors). Heterogeneous design is changing the starting point for chip design so that integration is now more the real challenge rather than the processor core. Many ARM processors already use hybrid architecture. Intel has unveiled a new Foveros architecture that addresses the challenge of Arm processors.

Immersive technologies: Users can interact with the world with immersive technologies such as augmented reality (AR), mixed reality (MR) and virtual reality (VR). AR brings new possibilities. A smart space is a physical or digital environment in which humans and technology-enabled systems interact in increasingly open, connected, coordinated and intelligent ecosystems.

Open hardware: Can RISC-V – Linux of Microprocessors – Start an Open Hardware Renaissance? RISC-V is an open source processor command set that can be used with the same principles as Linux code. RISCV is now being firmly linked to Linux as the Linux Foundation and the RISC-V Foundation have agreed to work together to promote open code development and RISC-V deployment. For the first time, Arm architecture will be a serious challenger in millions, even billions of embedded devices. Companies like Hi-Five, NVIDIA and WDplan to release product with RISC-V in them. This year RISC-V does not compete with traditional CPUs on PCs. Also MIPS hardware architecture is opening up.

Containers: Is Kubernetes the new application server? If you thought there was a lot of chatter about Kubernetes in 2018, you ain’t seen nothing yet.

Software robotics: Software robotics becomes widely available. Robot Framework will be important on this.

Intel processors: Intel Announces Faster Processors Patched for Meltdown and Spectre, New Intel Architectures and Technologies Target Expanded Market Opportunities. Intel Demonstrates 10nm-based PCs, Data Center and Networking Systems, Next-Gen ‘Sunny Cove’ Architecture with AI and Crypto Acceleration, and 3D Logic Chip Packaging Technology. 5 Observations From Intel’s Event article says that mysterious locations, codenames and process delays are on the top of the list. Intel’s Foveros Lakefield technology for making smaller chips.

AMD processors: Ryzen mobile processors would begin showing up in ultrathin and gaming laptops by the end of the first quarterAMD starts to use 7nm technology: Radeon VII GPU will be available and it is promised to be 27% to 62% faster, third-generation Ryzen desktop processor and second-generation EPYC server processor will be available starting later this year. AMD is challenging Intel in Chromebooks with A-Series CPUs and launching Ryzen Mobile 3000-Series chips with 2nd-generation Ryzen Mobile parts.

ARM processors: Taking aim at Intel, Qualcomm launches chip for business PCs. The Snapdragon 8cx series is Qualcomm’s first chip specifically designed for computersQualcomm’s pitch is that laptops using its chips will go days without needing to be plugged in, and will always be connected to the internet via cellular networks. The Snapdragon 8cx is also the world’s first 7-nanometer PC processor platform and promises superior performance for laptop. Intel’s position on laptops is very strong and Qualcomm has a big hill to get up if it really wants to challenge Intel’s PC side. Huawei Rolls 7nm ARM Server CPU Kunpeng 920 that is said to outperform ThunderX2, Ampere by 25%. Rumors are circulating that Apple will obsolete x86-based computers in favor of its own SoC-powered successors.

NVIDIA: RTX 2060 GPU was introduced. GeForce RTX™ graphics cards are powered by the Turing GPU architecture and the all-new RTX platform. This promises to give you up to 6X the performance of previous-generation graphics cards and brings the power of real-time ray tracing and AI to your favorite games. GeForce RTX 20 Series GPUs to gaming laptops.

Microsoft hardware: Microsoft reportedly working on Xbox and Windows webcams for 2019.

Windows security: Microsoft officially announces ‘Windows Sandbox’ for running applications in isolation.Microsoft’s coming ‘Windows Sandbox’ feature is a lightweight virtual machine that allow users to run potentially suspicious software in isolation. It could debut in Windows 10 19H1,

Storage: NVMe Hits a Tipping Point. A show dedicated to NVM Express (NVMe) next month solidifies an industry-wide sentiment that the host controller interface and storage protocol hit a tipping point in the last year. It is expected that we’re going to see the majority of new products coming out with NVMe. There are already relatively young NVM Express Over Fabrics (NVMe-oF) specification and even some hard disk enclosures using NVMe.

Fibre channel: Broadcom Nudges Fibre Channel to 64G using 64G optical modules (just starting to sample) and PCIe Gen 4 connections that are not yet generally available on x86 servers.

Faster PCIe:PCIe 4.0 is ready. The PCISIG organization has completed the new 4.0 version of the PCIe bus, and now the technology is expected to be deployed on the devices. It is possible to to get the full PCIe 4.0 speed with both copper and fiber. It seems that this year PCIe 4.0 comes to wider us for x86 servers.

FPGA: FPGA Graduates To First-Tier Status because FPGAs are better for certain types of computation than CPUs or GPUs.While GPUs are well-positioned in machine learning, data type flexibility and power efficiency are making FPGAs increasingly attractive.

Enterprise software:Legacy enterprise applications and software systems have a reputation for being clunky, expensive, and almost impossible to keep up to date. Rethink your enterprise software systems and consider whether cloud-based options like SaaS may better serve your needs. Office 365 is massively successful. AWS services are running the backend of thousands of major companies now. As internet connections and speeds increase, the cloud becomes more and more viable as it is more cost effective to centralize computer hardware reducing costs for companies and employee overhead.

Windows 10: Microsoft is building a Chromium-powered web browser that will replace Edge on Windows 10. Microsoft could be preparing to ditch the EdgeHTML layout engine of its unloved Edge browser in Windows 10 in favour of Chromium. Windows Subsystem for Linux (WSL) is improved. Microsoft new Windows 10 reserves ~7GB of disk space for updates, apps, and more to ensure critical OS functions always have space.

Light Windows: Microsoft is working on Windows Lite, a super lightweight, instant on, always connected OS that runs only PWAs and UWP apps, to challenge Chrome OS. Microsoft’s ‘Centaurus’ device is yet another potential piece of its Chromebook-compete strategy.

Coding for Windows: Microsoft has released a public preview of Visual Studio 2019 for Windows and Mac. Microsoft open sources its most popular Windows UX frameworks and says the first preview of .NET Core 3.0 is now available — Microsoft is open sourcing WPF, Windows Forms and Win UI via GitHub.

Quantum computing: Quantum computing is a type of nonclassical computing that is based on the quantum state of subatomic particles that represent information as elements denoted as quantum bits or “qubits.” Quantum computers are an exponentially scalable and highly parallel computing model. They can work well on some specific tasks suitable for them, but are not suitable for most generic computing tasks we are used to.

Blockchain: Blockchain is a type of distributed ledger, an expanding chronologically ordered list of cryptographically signed, irrevocable transactional records shared by all participants in a network. It can work with untrusted parties without the need for a centralized party (i.e., a bank). Businesses should begin evaluating the technology to see if it fits their business or not. You need to separate Blockchain hype from Reality because it seems to be a potentially miraculous thing where almost nobody knows exactly what it is to what it is good for. Check this related Dilbert comic.

Related predictions and trends articles:

Gartner Top 10 Strategic Technology Trends for 2019

Virtual reality implementation: observations and predictions

5 IT job trends to watch in 2019 – because success starts with talent
Digital transformation reality check: 10 trends

These are the 15 best US tech companies to work for in 2019, according to Glassdoor

Kubernetes in 2019: 6 developments to expect

What to expect from CES 2019


  1. Tomi Engdahl says:

    Emil Protalinski / VentureBeat:
    Google expands its Flutter mobile app SDK, previously focused on Android and iOS, to the web, desktop, and embedded devices — At its I/O 2019 developer conference today, Google launched version 1.5 of Flutter, its open source mobile UI framework that helps developers build native interfaces for Android and iOS.

    Google expands Flutter mobile app SDK to the web, desktop, and embedded devices

    At its I/O 2019 developer conference today, Google launched version 1.5 of Flutter, its open source mobile UI framework that helps developers build native interfaces for Android and iOS. But that’s no longer true: The mobile framework is now a multi-platform UI framework, supporting the web, desktop, mobile, and even embedded devices. Flutter’s mission has expanded to building “the best framework for developing beautiful experiences for any screen.”

    Google today released the first technical preview of Flutter for the web, designed for building “highly interactive, graphically rich content.”

    Flutter for desktop is no longer an experimental project — it has graduated into the Flutter engine. The targets are not production-ready yet, but Google has published early instructions for developing Flutter apps for Windows, Mac, and Linux.

    At the same time, Flutter for Chrome OS use is growing, both for running Flutter apps and as a developer platform, since it supports execution of both Android and Linux apps. You can use Visual Studio Code or Android Studio to develop a Flutter app that you can test and run locally on a Chromebook without an emulator. You can also publish Flutter apps for Chrome OS to the Google Play Store.

  2. Tomi Engdahl says:

    Microsoft Build 2019 Keynote in under 14 minutes

  3. Tomi Engdahl says:

    Google I/O 2019 event summarized

    All of the important announcements from Google’s I/O event in 13 minutes.

  4. Tomi Engdahl says:

    Intel shares its chip roadmap through 2023, says the 10nm product family will be available from the middle of this year, plans first 7nm product for 2021 — At Intel’s Investor Day today, CEO Bob Swan and Murthy Renduchintala spoke to the ability of the company with respect to its manufacturing capabilities.

    Intel Details Manufacturing through 2023: 7nm, 7+, 7++, with Next Gen Packaging
    by Ian Cutress & Anton Shilov on May 8, 2019 4:35 PM EST

    the delay of its 10nm process has obviously raised multiple question marks, and has done for several years.

    Back in 2013, Intel envisoned its 10nm to succeed the 14nm by providing 2.7x density, with new technologies such as Self-Aligned Quad Patterning (SAQP), Contact over Active Gate (COAG), Cobolt Interconnects, and new packaging technologies such as EMIB and Foveros. Intel admits that this was an ambitious plan

    This ended up pushing 10nm out into a later time frame. In this case, Intel pushed 10nm out to 2019 (technically they shipped Cannon Lake in small quantities on 10nm in 2017, however that is nothing more than a curio in the timeline of semiconductors), and filled the gap with 14+ and 14++.

    Intel has stated that its 10nm product family (beyond Cannon Lake) will start to be available from the middle of this year (2019), with Ice Lake on client platforms (notebooks).

    Intel will be launching multiple 10nm products through 2019 and 2020, including server based 10nm in the first half of 2020:

    Intel states that it will have 7nm in production and launching a product in 2021. That sounds very aggressive for a company that has had issues with 10nm.

    Intel provided this slide, which shows a monolithic PC-Centric die with a multi-die Data-Centric chip built on both Foveros and EMIB. This corroborates our discussion with Intel’s chiplet and packaging team, who also stated that we would see Foveros and EMIB on a combined product – specifically the GPU.

  5. Tomi Engdahl says:

    Mary Jo Foley / ZDNet:
    Microsoft’s Kevin Gallo talks about how the company is trying to undo the divide between UWP and Win32, future of Microsoft’s app store, and more — Is Microsoft’s UWP going away? Is the Microsoft Store on its way out? Microsoft Corporate VP Kevin Gallo explains the latest twists …

    Microsoft wants to close the UWP, Win32 divide with ‘Windows Apps’

    Is Microsoft’s UWP going away? Is the Microsoft Store on its way out? Microsoft Corporate VP

    Kevin Gallo explains the latest twists in Microsoft’s long and winding Windows developer platform strategy.

    For months, many pundits, partners and customers have wondered aloud whether Microsoft’s Universal Windows Platform (UWP) has a future. Officially, the story is UWP is alive and well. But the Win32 platform lives on and seems to be back on Microsoft’s radar screen. So what’s the real story?

    When Microsoft launched UWP in 2015, officials promised that the platform would provide apps with better performance and security

    Developers would be able to use a common set of programming interfaces across Windows 10, Windows Phone, HoloLens and more, officials said, when selling the UWP vision. The downside: UWP apps would work on Windows 10-based devices only. Developers would have to do work to get their apps to be UWP/Store-ready. And Win32 apps wouldn’t get UWP features like touch and inking.

    Arguably, Gallo told me, “we shouldn’t have gone that way,”

    Over the past year or so, Microsoft has been trying to undo some of the effects of what Gallo called the “massive divide” between Win32 and UWP by adding “modern desktop” elements to Win32 apps.

    “By the time we are done, everything will just be called ‘Windows apps,’” Gallo told me. “We’re not quite there yet.” But the ultimate idea is to make “every platform feature available to every developer.”

    Last year, Microsoft introduced “XAML Islands,” which is technology aimed at helping Windows developers to use UI elements from UWP in their existing Win32 applications, including Windows Forms and Windows Presentation Foundation (WPF) technologies.

    In short, Microsoft’s new goal is to try to make all features available to all of the Windows frameworks. Saying that Microsoft is dropping or deprecating any of the Windows frameworks seems to have been declared from on-high as a big no-no. Instead, Win32, UWP, Windows Presentation Foundation are all “elevated to full status,” as Gallo told me.

  6. Tomi Engdahl says:

    How Much Will Software Developers Earn in 2020?

    Things are looking good for software developers. Projected growth is largely driven by the increasing demand for mobile, health care, and computer security software.

    A few decades ago, if you wanted to have a software application created, you simply needed to hire a developer and all of your problems would be over. However, increasing development challenges coupled with a shortage of skills have led to the spiking demand for software development skills. As the law of supply and demand would dictate, the situation has blown the salary package of software developers through the roof.

    Although the news of a high salary may excite many, it’s important to carefully look at the bigger picture. For example, which country/region pays the best salaries? A

    According to a report by the IDC, the global population of software developers in 2018 was estimated to be 22.30 million. Of this number, 11.65 million worked full-time, 6.35 million part-time, and 4.30 million non-professionally.

    Restricting these numbers to countries, the United States hosts the largest population of developers, clocking in at 651,017. The U.S. is closely followed by China with 183,805, and India comes in a close third. However, this matrix is expected to see a major overhaul, with India expected to surpass the U.S. and China by 2023.

    For instance, in 2011, software developers earned an average of $89,280. Fast-forward to today, and the average global salary of a software engineer has pole-vaulted to $101,709. With that said, it’s important to emphasize that these numbers may vary depending on the city, country, region, and continent.

    Eastern Europe emerges as one of the regions in Europe that has the cheapest workforce. The highest mean salary in a country like Ukraine is $24,652 annually.

    Software developer salary by coding experience
    Another crucial element that greatly influences the developer’s salary is their coding experience. For example, earning an annual salary of $200,000 is unusual, although not unheard of. indicates that a developer in the U.S. with five years of experience and above can earn up to $146,893. Using the same parameter, puts the number at $112,000.

    In France, the same job cadre would attract a $40,000 salary package. On the other hand, Germany and Canada allow developers with the same experience to ask for anything between $55,000 and $75,000.

    When it comes to salary by industry, machine-learning (ML) developers take the day. The average salary is $114,826

    However, 2020 looks promising for these professionals. It is projected that software engineering employment opportunities will grow at a rate of 24% by the year 2026, as compared to 11% of all other occupations combined.

  7. Tomi Engdahl says:

    Intel’s Xe Graphics Architecture to Support Hardware-Accelerated Ray Tracing,39224.html

  8. Tomi Engdahl says:

    For Better Computing, Liberate CPUs From Garbage Collection

    Without you noticing (much), your computer is working hard in the background to organize its memory system. On top of its many tasks, a CPU must do something called “garbage collection,” whereby it identifies and deletes redundant or irrelevant data from applications to free up additional memory space.

    Garbage collection is meant to spare programmers from having to manually address this unnecessary data, but the automated process that CPUs are tasked with consumes a lot of computational power—up to 10 percent or more of the total time a CPU spends on an application.

  9. Tomi Engdahl says:

    The Path to a Modern, Efficient, Scalable and Fault Tolerant Infrastructure

  10. Tomi Engdahl says:

    Keeping an open source project alive when people leave

    How to find out what’s done, what’s not, and what’s missing.

  11. Tomi Engdahl says:

    Paul Ford / Wired:
    Why I (Still) Love Tech: In Defense of a Difficult Industry — We have graduated, along with oil, real estate, insurance, and finance, to the big T. Trillions of dollars. Trillions! Get to that number any way you like: Sum up the market cap of the major tech companies, or just take Apple’s valuation on a good day.

  12. Tomi Engdahl says:

    Tangled in .NET: Will 5.0 really unify Microsoft’s development stack?
    .NET Framework? Mono? Xamarin? .NET Core? Blazor? Java interop?

  13. Tomi Engdahl says:

    Amazon’s Away Teams laid bare: How AWS’s hivemind of engineers develop and maintain their internal tech
    Cloud giant’s structure, staff practices revealed

  14. Tomi Engdahl says:

    RIP Hyper-Threading? ChromeOS axes key Intel CPU feature over data-leak flaws – Microsoft, Apple suggest snub
    Plug pulled on SMT tech as software makers put security ahead of performance

    n conjunction with Intel’s coordinated disclosure today about a family of security vulnerabilities discovered in millions of its processors, Google has turned off Hyper-Threading in Chrome OS to fully protect its users.

    Meanwhile, Apple, Microsoft, IBM’s Red Hat, QubesOS, and Xen advised customers that they may wish to take similar steps.

    The family of flaws are dubbed microarchitecture data sampling (MDS), and Chipzilla’s official advisory is here, along with the necessary microcode updates to mitigate the data-leaking vulnerabilities and list of affected products. Installing these fixes and disabling Intel’s Hyper-Threading feature is a sure fire way to kill off the bugs, though there may be a performance hit as a result.

  15. Tomi Engdahl says:

    So Long Dual-Booting Windows on a Chromebook: Project Campfire is deprecated

    Project Campfire turned up in the Chromium world this past August. The intent was to let a Chromebook boot not just into Chrome OS but directly into another operating system such as Linux or Windows.

    Unfortunately, the project is shutting down.

    So long dual-booting Windows on a Chromebook: Project Campfire is deprecated

  16. Tomi Engdahl says:

    Rivals in gaming, Microsoft and Sony team up on cloud services

    The two companies will explore joint development of future cloud solutions in Microsoft Azure to support their respective game and content-streaming services. In addition, the two companies will explore the use of current Microsoft Azure datacenter-based solutions for Sony’s game and content-streaming services.

  17. Tomi Engdahl says:

    100 ways to learn Python and R for data science

    Want to learn data science? Find recommended courses in the Data Science Repo, a community-sourced directory of Python and R learning resources.

  18. Tomi Engdahl says:

    Don’t test in production? Test in production!

    Yes, testing in production is risky, but we should still do it, and not in rare or exceptional cases.

  19. Tomi Engdahl says:

    How to wrangle log data with Python and Apache Spark

    Case study with NASA logs to show how Spark can be leveraged for analyzing data at scale.

  20. Tomi Engdahl says:

    How to convert Excel files to HTML or JSON

    Open source libraries make it simple to display Excel data on websites, apps, or third-party tools.


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