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Predictions about emerging enterprise technologies often include concepts that are still half-baked. That’s not this list. What you’ll find here are only technologies that most enterprises can realistically consider as 2020 starts to unfold.
Thus, don’t expect things like blockchain or augmented reality to be listed here. While both have potential, neither will make much of an impact in the coming months. The eight technologies we highlight are ones IT shops have likely had on their radars but in 2019 didn’t time to implement or faced a barrier preventing them from moving forward.
That won’t be the case this year. With that as a backdrop, let’s look at the technologies most likely to impact 
enterprises in 2020.
All the top wireless carriers in the United States are planning massive 5G rollouts that will reach near nationwide coverage by the end of 2020. Additionally, the number of 5G-capable mobile devices that are hitting the market is also on the rise.
This includes phones from Samsung, LG, and Moto. While Apple has yet to announce a phone with a 5G wireless chip, a product refresh is expected midyear that likely will have the technology While 5G will certainly speed up connectivity for smartphone users, making them even more capable for business use, 5G will also play a role in branch office connectivity.
In many people’s eyes, 5G data services are ideal for short-term, distributed, or highly mobile offices due to quick deployment and redeployment benefits of mobile broadband. Thus, look for 5G to play a major role in the corporate WAN starting this year.
Although the promise of the Internet of Things (IoT) has been discussed in enterprise IT management and architecture circles for years, its promise has yet to be fully realized. The reason for the slow IoT adoption rate
largely revolved around three major hurdles: security, management, and connectivity.
While often low-cost for what they can do, many IoT devices, sensors, and wearable devices have not been secure enough on their own for mass deployment on enterprise networks.
Additionally, early IoT deployments quickly proved that the management of hundreds or thousands of autonomous devices was far too difficult to handle when using traditional enterprise monitoring tools. Lastly, current-generation wireless connectivity options restricted where IoT could realistically be deployed.
Fortunately, each of these roadblocks to IoT has been dismantled. New laws out of California and Oregon are putting pressure on IoT device manufacturers to better secure their products. Additionally, infrastructure tools such as AIOps platforms are not only providing significantly improved device monitoring capabilities, they are also helping to monitor whether they’ve been compromised. Finally, 5G will become the go-to wireless transport for remote IoT sensors for the foreseeable future.
Collecting data is easy. Sifting through that data to provide meaningful insights is far more complicated. Fortunately, the science and practical use of data analytics made tremendous strides in 2019 — so much so that you will soon find analytics used within the network, throughout IoT deployments, and across private and public clouds. In fact, it could be said that the first transformative use of big data analysis in most enterprises will gain true momentum beginning this year.
Taking data analytics one step further in the field of artificial intelligence (AI). AI uses the analysis of big data
to form future predictions based on one or more data analysis results. Chatbots are one example of AI that became heavily relied on in 2019.
Yet, starting this year, look for AI to creep into more of our daily-use applications and services. Automated helpers, automated infrastructure monitoring and root cause analysis, and automated physical and data security services are a reality, and you can expect them very soon.
While certain forms of automation have been implemented within enterprise IT shops for years, this year the number of automated processes is set to explode. Reasons for this include the fact that new technologies are becoming increasingly complex.
At the same time, the number of IT staff people used to manage the entire corporate infrastructure is flat — if not declining. Thus, the benefits of IT automation will become crystal clear this year and beyond.
Security professionals and vendors have almost universally concluded that a proper “defense in depth” security
strategy can be dramatically improved when tools work together by sharing threat intelligence between them.
The days of independently operated firewalls, malware software and cloud security intelligence will become a thing of the past starting this year. In its place will be tools that have open APIs for the purpose of intelligence sharing. A
single, unified security management platform will then be used to provide security insights to all tools deployed across the entire infrastructure.
While infrastructure equipment, applications, and services are growing increasingly complex to manage, the deployment of said technologies is getting easier. Enterprise products are shedding proprietary deployment processes and architectures in favor of open standards.
Thus, dropping new technologies into corporate networks or public clouds is not nearly as complicated as it used to be — so much so that many enterprise-grade infrastructure components are adopting zero-touch or plug-and-play deployment models.
For businesses that are growing more geographically dispersed by the day, having the ability to rapidly deploy plug-and-play devices and services will be a noticeable time-saver in the enterprise from this point forward.
To be honest, edge computing may still be more hype than reality in 2020. Still, edge computing is a technology that IT departments must keep a close eye on given its ability to reduce application latency and data transport costs to the cloud — two drawbacks of typical cloud architectures in use today.
While vendors and carriers will spend most of this year ramping up their ability to offer edge computing services to customers, it’s the job of the enterprise to identify what the new technology can be used for in an attempt to cut costs, further business growth, or create competitive advantages. Contact Musato Technologies to learn more about our innovative and smart technologies that empower businesses.
Gideon Ebonde M. is the CEO and Chief Software Architect at Musato Technologies. He is experienced Software developer with a demonstrated history of working in the information technology and services industry. He has a strong engineering professional skilled in Mobile Application Development, Enterprise Software, AI, Robotics, IoT, Servers, Cloud and business application. He is an accomplished DevOps software engineer and a visionary computer scientist and engineer.
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