One key lesson that all of us have learned in the last two years is that we need to rapidly adapt in order to survive any unprecedented situation. 2020 was all about COVID, its effects, and how enterprises struggled to ensure uninterrupted operations. To stay relevant and competitive, enterprises had to accelerate their digital initiatives during 2021.
By now, organizations have understood the significance of digital, and this is likely to reflect in their increased technology investments. Here is a list of key trends that will shape the technological landscape in 2022 and beyond.
1. Data technologies to see increased usage
It is believed that roughly 2.5 quintillion bytes of data are generated daily. To manage this humongous amount of data, you will need technologies like Hadoop, Spark, Kafka, MongoDB, and more.
These data technologies will help you optimize content search for videos and images by giving recommendations, highlighting and redacting critical information on documents, and more. Further, data analytics will be critical for businesses to develop more sensible applications and products based on the data input. Also, there will be a need for data fabrication so that the data can be consumed easily and faster.
2. Predictive customer experience and hyper-personalization to boom
Enterprises today have access to customers’ data from both internal and as well as external sources. We will see enterprises leveraging this data to deliver a predictive customer experience (CX).
Using predictive analytics, backed by machine learning algorithms, you can understand and track what is influencing your customers and business performance. These algorithms will generate predictive customer scores based on the customer journey, which will help you predict individual customer satisfaction and customers’ value outcomes. Further, with a unified view of customer data, we will see businesses delivering personalized experiences across channels such as web, mobile, call center, etc.
3. Low code with hyperautomation to be the next big thing
As organizations are rapidly adopting low code, they will now look for ways to leverage hyperautomation along with it.
Low code development technologies, particularly those targeting citizen automation and development use cases, will play an important role in supporting hyperautomation. The duo will allow business users to create and execute ideas to drive orchestrated automation across business applications.
4. Artificial intelligence (AI) to see increased adoption
AI use cases span across industries, from banking to agriculture. As we advance, we will see AI-based virtual banks and robot-enabled farming, enabled with AI and the internet of things. AI will also be the driving force for last-mile automation through contactless drone deliveries. Thus AI will be leveraged to transform various scenarios.
Furthermore, you can leverage AI to streamline workflows, reduce costs, enhance customer experience, facilitate efficient communications through chatbots, and more.
5. Content services platform to gain traction
Due to the pandemic, remote working became the new normal. As a result, video content increased, given the number of calls with employees/partners/customers.
You will now need content services platforms that go beyond storing and managing video content and enable video streaming. Further, the systems should allow for adding bookmarks/notes to videos, identification of entities, understanding the context and semantics, editing of videos, and more.
6. Edge computing to see increased demand
Last year, we saw increased adoption of the cloud model. However, while dealing with an enormous amount of data, organizations have realized the shortcomings of cloud computing. Edge computing helps solve some of the challenges.
Using edge computing, you can process time-sensitive data in remote locations with limited or no connectivity to a centralized location.
7. Cybersecurity to become pivotal
With employees working remotely and the cloud becoming the norm, you must lookout for new approaches to enhance network security.
Cybersecurity mesh enables you to create security measures based on the device identity rather than proximity to secure connections. It follows a distributed approach rather than defining a perimeter based on network reach.
Well, that is our list of trends. As the year unfolds, many new trends will emerge, and many will fall through. One thing is sure that digital transformation will remain a top priority. We will see businesses opting for complete transformation, wherein they will adopt a digital-first strategy to streamline their customer, employee, and user experience enterprise-wide.
About the Author
Alessandro De Capitani heads Newgen’s US Enterprise Operations. He is responsible for all commercial operations in this segment/geography. He has 25 years of experience in technology and advisory services and account management experience. Previously he has worked with organizations such as Gartner, Appian, Unqork, and RiskMetrics.
Sign up for the free insideBIGDATA newsletter.
Join us on Twitter: @InsideBigData1 – https://twitter.com/InsideBigData1