What are the early trends looking to be for 2019? We’ll review this and how-to amp up your business processes going forward in this blog.
With the new year upon us, the latest tech trends that will transform business practices and beyond is top of mind. Which technologies will propel my business forward? Where should I allocate my IT spending? How can I fulfill my new year’s resolution by having my most profitable year so far? If these are the questions that keep you up at night, keep reading for some insight and guidance on the top tech trends of 2019.
Personalization at Scale
Smart businesses are investing in automation software to maximize the advantages of one-to-one personalization at scale. Personalized experiences can be guided by listening to your consumers based on what they are and are not telling you. Using VOC (Voice of the Customer) strategies and technologies, brands will stay on top of consumer needs and better align their marketing strategies next year.
Chatbots will also increase the personalization that consumers crave, and organizations are able to deliver this through the waves made in natural language processing and sentiment analysis in recent years.
Speaking of which – we are making our own waves in sentiment analysis and helping organizations process their data in a meaningful way to speed up the decision-making process and better serve their customers. Read about it here.
Smarter Everything with Artificial Intelligence
OKAY, Siri – what is artificial intelligence?
Intelligent applications, such as voice recognition software, incorporate machine and deep learning algorithms into their everyday functionality to better automate tasks for the user.
Artificial intelligence evolved throughout this year and will flourish even more in 2019, analysts predict.
Companies such as Mercedes and BMW are even launching AI assistants in their vehicles in the next few years. Along with transforming leading enterprises, AI will also be responsible for transforming industries such as banking (detecting and minimizing financial fraud), talent acquisition (automating the recruitment process with resume scanning) and finance.
What’s the solution to staying ahead of the AI wave? Adding more data scientists to your organization is a start. In fact, according to IBM, demand for data scientists will increase to 2.7 million by 2020.
Data Quality and Protection will be a Priority
This year, the European Union passed a regulation called GDPR that emphasizes personal data as a fundamental right. The impacts are still being felt as companies worldwide struggle to understand the implications and requirements. Large fines are making headlines prompting concerns with executives on their readiness.
In 2019, the focus on data protection will be further examined as the public becomes more conscious about their data. This will give organizations the opportunity to examine their data practices and put in place master data management solutions that take into account sensitivity and protection. The successful companies will be those that use the opportunity to integrate an approach into their existing processes and applications to reduce the effort to maintain compliance.
As companies focus on the personal sensitivity of data, we expect a continued trend into improving the management of data quality. The 80/20 dilemma (where analysts spend 80% of their time finding, cleaning and reorganizing data and only 20% of their time on actual analysis) is still an ongoing obstacle in the industry.
“In 2018, and we expect to continue in 2019, there will be new features in existing business intelligence software that focusses on data discovery, data wrangling, and data cleanup,” says Vice President of Data Services and Operations at Indellient, Christopher Venantius.
Examples can be seen with Tableau Prep Conductor and Ask Data (both in beta), IBM Cognos 11.1 release (October 2018) with user-centric data prep and modeling, and Microsoft Power BI self-service data prep with data flows (November 2018).
More Companies will Adopt DevOps Best Practices
In 2019, we will see more IT teams being further aligned and streamlined thanks to DevOps best practices.
Configuration management tools have also been a staple of the DevOps technology stack for much of the last decade. Many configuration management tools have been used to assist with application automation, sometimes resulting in mountains of configuration management code to help manage the complex lifecycle and orchestration of applications, especially those that are clustered.
“In the coming year, we’ll see configuration management tools take a step back from application automation and be focused on their originally intended purpose as the popularity and utilization of application automation platforms and frameworks grow in adoption,” says Indellient’s Vice President of DevOps, Damith Karunaratne.
More companies will also be moving to open source software – which is 1.75 times more likely to be extensively used by the highest performers, who are also 1.5 times more likely to expand open source usage in the future. Forbes reports that 83 percent of enterprise workloads will be in the cloud by 2020.
It’s no surprise that estimates from IDC suggest that the DevOps software market will grow from its 2017 results of $2.9 billion to $6.6 billion in 2022.
Indellient has been singing the DevOps tune for a while – but we’re going all in this coming year. We had many great sessions on DevOps practices and helping organizations thrive in 2018 and will have even more discussions and DevOps projects lined up to share our expertise (stay tuned!).
2019 will see a new paradigm shift in how organizations sell to their customers, how their customers interact with brands and emerging tools and technologies that will empower businesses to thrive. We can’t wait to see if our predictions come true!
How is your organization preparing for the new year? Share them with us!