Tag: 2018 predictions

  • The Impact of DevOps and Continuous Testing in 2018

    The Impact of DevOps and Continuous Testing in 2018

    At its core, DevOps is meant to touch an entire organization; however it’s heavily weighted in the software development life cycle (SDLC). That’s why DevOps is going mainstream in 2018. Companies are making the business benefits of DevOps a top priority—it’s all about delivering value to the customer faster through maximum automation of the release cycle/processes. And that begins with organizations realizing that to mature their DevOps processes, they need continuous testing as part of their continuous integration practice.

    Cross-platform Engagement and IoT Will Mean More Devices—and More Apps

    With organizations shifting processes and innovation to a mix of digital technologies—a concept known as digital transformation—consumers are engaging with different apps across various platforms 24 hours a day, seven days a week. Add in the rise of internet of things (IoT) devices, which allow for seamless transitions across smartphones, TVs, tablets and other devices. Now is the time for optimum user experience (UX).

    In 2018, industries such as financial services, health care, retail and automotive will fully embrace IoT. We may also see new types of applications replacing current ones, as consumers and developers embrace the constantly evolving innovative capabilities coming in 2018. However, until the C-suite implements the tools needed to keep up with the growing demand for cross-platform upkeep and testing, other industries will experience slow adoption.

    A critical step in delivering flawless UX is testing, and lots of it. Never has there been more to test, measure and develop than in this digital revolution we are seeing today.

    Frequent New Releases Will Require Even Faster Updates

    As the number of platforms consumers engage with rapidly grows, so does the pressure for developers to ensure apps are running as they should at all times. Same goes for the pace of cloud adoption: Cloud test labs will need more sophisticated capabilities, meaning more platforms and blind spots which require continuous optimization to ensure market readiness. This need for faster turnarounds on update releases and bug fixes will multiply in 2018.

    To maintain and grow customers and profitability, CIOs must recognize the importance of empowering developers with the tools and time to implement continuous testing across the SDLC. Tools, such as those powered by automation and the cloud, increase efficiencies and free up time developers previously spent on manual quality-checking, allowing them to ensure the apps they are producing are keeping up with consumer expectations. If users feel their app is not delivering on the experience they want, they will delete it and move on to the next competitor, which has a direct negative impact on the company’s bottom line.

    Outdated Technologies Will Make for Even Slower Updates

    There is a suite of new tools being introduced to the market for all stages of the SDLC in the hopes of keeping up with the heightened speed of testing. As many DevOps environments struggle to adapt their pipelines to these new tools, many are powered by emerging technologies including machine learning and automation. In 2018, developers should ditch outdated infrastructure and processes in favor of more modern architectures, including implementing microservices.

    Modernizing pipelines will allow developers to design in next-gen engagement methods such as artificial intelligence (AI), augmented reality (AR) and virtual reality (VR) without compromising velocity.

    AI Will Experience Its Shining Moment (for Some)

    In the coming year, AI will start to move from a theoretical concept to a commonly applied technology, especially within the DevOps space. However, developers first must understand what they want AI to help them accomplish—and how—within the SDLC and across the DevOps pipeline. One logical place to start is figuring out how they can best leverage it to analyze test automation strategies.

    The value of a well-oiled, or not-so-well-oiled, DevOps process can make or break an organization. As the new year begins, be sure to include the IT leadership in these conversations to ensure developers are getting what they need, when they need it, to keep business moving as usual. IoT, AI and the cloud are just a few things to keep in mind as the industry moves to implement the latest tools in 2018.

    About the Author / Eran Kinsbruner

    Eran Kinsbruner is the lead technical evangelist at Perfecto and the author of the “Digital Quality Handbook.” He is a software engineering professional with nearly 20 years of experience at companies such as Matrix, Qulicke & Soffa, Sun Microsystems, General Electric, Texas Instruments and NeuStar. He holds various industry certifications such as ISTQB, CMMI, and others. Eran is a recognized mobile testing influencer and thought leader. He is also a patent-holding inventor (test exclusion automated mechanism for mobile J2ME testing), public speaker, researcher and blogger. Follow him on Twitter, connect with him on LinkedIn and check out his professional mobile testing blog.

  • Strap in, CIOs: Analysts Predict Wild Ride for 2018-2020

    Strap in, CIOs: Analysts Predict Wild Ride for 2018-2020

    Digital transformation is the underlying theme of many of the 2018 and beyond IT predictions made recently by analyst firms Forrester, Gartner and IDC. Technologies such as cloud, AI, data analytics, big data, blockchain, IoT, conversational interfaces, DevOps and cybersecurity will also force CIOs to perform a juggling act. The rapid evolution of these technologies combined with the business opportunities they unlock will create a pressure cooker for CIOs, become an everyday topic of discussion for C-suites and possibly even a preoccupation of boards of directors.

    We’ve analyzed the predictions by the three research firms and have gathered the key themes as the seven most pressing issues for the C-suite next year and beyond:

    1. CIOs are at a Crossroads, Representing Both Challenge and Opportunity

    Forrester believes that CEOs will make digital business a top priority in 2018 and CIOs will lead the digital transformation at most companies. In a November report, “CIOs Make the Chief Digital Officer Obsolete,” Forrester summed up: “In 2018, boardroom discussions will focus on digital. Key questions will revolve around platform-based business models, new partnership ecosystems, and new ways to organize for success. CIOs will build new skills and competencies to help drive this change.”

    The challenges for CIOs during this period will demand that they step up, expanding their digital skill sets and employing technologies with both eyes focused on business value. Forrester predicts that CIOs will need to orchestrate the underlying technologies and supplier relationships for companies to manage their platform-based business approach. CIOs would also be smart to leverage cloud computing and open source software, and build on containers, APIs and microservices.

    CIOs also may need to develop new leadership skills to direct their company’s digital transformation. That includes displaying a laser-like customer focus, attracting the necessary talent, restructuring their organizations and developing the culture required to deliver tangible business results. Doing so, Forrester said, “will present CIOs with the opportunity of a lifetime, allowing them to demonstrate the level of trust and performance that their senior peers and boards require, and positioning them as leaders of the digital transformation — even the enterprise.”

    IDC’s November “Worldwide CIO Agenda 2018 Predictions” offers predictions that dovetail with Forrester’s view:

    • By 2020, 60 percent of CIOs will implement an IT business model and culture that shifts focus from IT projects to digitally oriented products.
    • By 2020, 60 percent of the CIOs who have crossed the digital divide will prevail in C-suite turmoil in competition to become digital business leaders for their enterprises.

    Advice to CIOs: Find a leadership coach. Choose one or two lieutenants you trust to delegate important roles to. Find a senior product manager-type person in your company to help you become more knowledgeable about generating business value. Make a point to talk to your CEO about the advantages of digital transformation. Develop a plan for adopting a new digital governance model. What should your digital platform look like?

    2. Digital Transformation Becomes Real for Most Companies in 2019-2020

    We’ve been hearing for a couple of years that companies are digitally transforming their businesses. The truth is that those companies represent the leading edge and they are a small minority. Most CIOs are still stuck doing more with less, the hangover from the last recession. CEOs: Your CIO needs more budget to position your company for digital success over the next few years. IDC predicted that “through 2019, 75 percent of CEOs and their enterprises will fail to meet all their digital objectives, dragged down by conflicting digital transformation imperatives, ineffective technology innovation, cloud infrastructure transition and underfunded end-of-life core systems.”

    That’s a lot of failure. CEOs and CIOs are going to need to work together to make digital transformation a reality. It’s not just about updating your technology, it’s about business innovation.

    Key points on digital transformation from IDC’s CIO 2018 predictions:

    • By 2019, 60 percent of CIOs will complete infrastructure and application replatforming using cloud, mobile and DevOps, clearing the deck for accelerated enterprise digital transformation.
    • By 2019, 60 percent of IT organizations will have deployed digital transformation platforms supporting new customer- and ecosystem-facing business models.
    • By the end of 2019, digital transformation spending is expected to reach $1.7 trillion worldwide.

    3. AI is No Panacea

    Forrester named one of its 2018 prediction reports “The Honeymoon for AI Is Over.” Conventional analytics are undergoing full disruption, largely because AI is perceived to be the solution to both programming analytics and solving the big data riddle. And while it’s likely that AI/machine learning will be able to help with both problems, you can’t just snap your fingers and make it so. Harnessing AI successfully requires specialized engineering talent, quality data, objective planning and some trial and error. According to a Forrester survey, 70 percent of respondents say their firms will have implemented AI in the next 12 months. They chose decision management as their most important use. One of the key points to remember is that the decision-making abilities of it machine learning tool can’t over calm a lack of quality data. Forrester warns: “Don’t be fooled by vendor claims that more intuitive human-to-machine interfaces are [a magic potion] that reduces the need for data and metadata management and curation.”

    Quick AI predictions from IDC:

    • By 2019, 40 percent of digital transformation initiatives will be supported by cognitive/AI capabilities, providing timely critical insights for new operating and monetization models.
    • By 2020, 85 percent of new operation-based technical hires will be screened for analytical and artificial intelligence skills, enabling the development of data-centric digital transformation projects without hiring new data-centric talent.

    4. One-Third of Enterprises will Abandon Big Data Repositories in 2018

    Has your company built a large data lake that hasn’t delivered any significant business value? Well, 2018 may be the year when you rethink that decision, according to Forrester.

    On the other hand, Forrester believes that AI will be able to resolve the longstanding issue of the boundary between structured and unstructured data because of vendors including Digital Reasoning, Expert Systems and Stratifyd.

    As you make your move to digital transformation, having more actionable data based on your pool of big data, especially unstructured text data, could deliver book valuable business insights. This might not be the best time to give up on big data. Especially if you’re actively engaged with AI.

    5. Blockchain: Confusing, Skills Gap, Steeped in Hype—but Full of Potential

    Blockchain will begin to show next year just how difficult it will be to employ but, at the same time, that it’s worth exploring.

    “By the year 2020, the banking industry will derive $1 billion of business value from the use of blockchain-based crypto-currencies,” states Gartner’s October “Top Strategic Predictions for 2018 and Beyond.” “When compared to the estimated $7.6 trillion that is the industry gross output of the world’s banking industry, $1 billion may not seem like much. However, the value is more about the tacit endorsement of crypto-currency as a legitimate option by the banking industry.” Cryptocurrency is just one application of blockchain.

    Advice: Build your blockchain ecosystem early, Forrester recommends in its 2018 prediction report, “Be Ready to Face the Realities Behind the Blockchain Hype.” “The blockchain terminology will remain confusing,” Forrester noted. “The term ‘blockchain-inspired’ is already a common descriptor for software that has some of the characteristics of blockchain or reflects some of the principles of the blockchain network, but isn’t a blockchain in the true sense.” There is a growing skills gap pertaining to software engineers and security professionals who have experience with blockchain. It’s a nascent technology; make sure your team sets realistic goals.

    6. IoT Hits Prime Time, but it Might Not Be Ready

    By 2020, IoT technology will be in 95 percent of new product electronics designs, Gartner said. IoT’s growth is very rapid, even for the computer industry. But that growth comes at a cost. The technology has not overcome what many believe to be rampant security vulnerabilities. “Through 2022, half of all IoT security budgets will be spent on fault remediation, recalls and safety failures rather than protection,” Gartner predicted.

    Forrester is far more positive about the business advantages of IoT in its report, “IoT Moves from Experimentation to Business Scale.” Its predictions are also more detailed in the several areas where IoT might gain traction in 2018. But the security issues are not lost on Forrester, either. The research firm predicted: “IoT will be at the center of broader and more damaging cyberattacks. The Mirai botnet was a harbinger of future IoT security-related attacks and breaches. … Most firms still haven’t shown a consistent commitment to mitigating IoT-specific threat vectors.”

    Advice: IoT is an accident waiting to happen. For B2C companies, the consumer backlash could be fierce if there is a major incident. Make 2018 be the year that you start plugging up those IoT security vulnerabilities and protection gaps.

    7. Most Companies Won’t Comply with GDPR in 2018

    The European Union’s General Data Protection Regulation (GDPR) takes effect May 25, 2018. Forrester predicted in its November report, “A Year of Reckoning,” that 80 percent of companies will fail to comply with the GDPR. Perhaps more to the point, Forrester additionally predicts that 50 percent of those non-compliant firms will do so intentionally, “meaning they have weighed the cost and risk, and are taking the path that presents the best position for their companies.” The other half of the 80 percent will try to comply but will fail.

    Advice: It seems likely that some large company will be made an example of. You don’t want that to be your company.

    Takeaways

    Those are the standout IT-related issues for the C-suite in 2018 and beyond. If you weren’t tuned in to some of them, knowing is half the battle right? Well, probably not. These are tough challenges. Each organization has its own strengths and weaknesses. But generally speaking, if you parse this list by investing time and budget on the first four while minimizing the potential downsides of last three, you’ll be doing very well.

    — Scot Finnie