6 top trends that will impact data management in 2020

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Across industries, 2019 saw rapid evolution and implementation of artificial intelligence-driven technologies, automation of processes and widespread migration of data and assets to the cloud. This year will mark the beginning of a complex new era for technology as innovation and disruption flourish.

As we stand at the start of a new decade, let’s look at what to expect from the tech industry in 2020 and how it will affect your organization.

Tech spending as a business decision

Organizations are eager to ride the tech innovation wave to efficiency and digitization. As more companies aim to integrate and centralize software use within their operations, failure to keep pace with competitors will result in technological crisis for some enterprises.

We can expect to see an increase in funding for tech programs that increase company revenue. The quality and business value of these initiatives will be more integral to companies than ever before as they invest in DevOps to overcome the dysfunction of siloed teams.

Faster computing power

As researchers learn more about the power of AI and how to configure neural networks, algorithmic advancements will arrive faster and more frequently. In the coming months, established corporations such as Intel and startups like Hailo will help improve AI computing power along the edge as they continue to build custom hardware chips that can provide faster neural network processing.

The industry has invested widely in the development of machine learning (ML) and as they require stronger and faster computing power to run algorithms in real time, more organizations will look to custom hardware solutions to accelerate data processing at the edge.

Continued adoption of machine learning

Already on a path of rapid growth in 2019, we can expect machine learning (ML) to become widely available to medium-sized companies in 2020. In fact, machines are now better than humans at various natural language processing (NLP) tasks, such as responding to inquiries based on inferred information from a story.

Small and medium enterprises will benefit greatly from NLP as it can increase customer satisfaction while saving back office costs, in turn improving business profitability.

Additionally, ML will become a staple in day-to-day business management, appearing as an element of almost every software product category, from ERP to CRM and HR. Python will remain the primary ML language, enabling more people to test new Open Source AI algorithms due to Python’s ease of use and the plethora of coding examples available online.

Appropriate use of blockchain

Blockchain, which is only suited for a narrow range of problems where a distributed ledger is the best technical solution to a business challenge, has suffered from overuse in inappropriate use cases. It will finally take off as the preferred mechanism for domains that will benefit from such a ledger, such as supply chain management. However, because of the hype that has surrounded blockchain in the past, there is a risk that it may be unnecessarily applied even where a centralized ledger would be a better fit.


One major trend that is already transforming businesses and will continue to affect them in 2020 is the automation of existing processes and technologies. Companies will make automated quality testing the norm, because it is faster and more accurate.

Additionally, more organizations will launch robotic process automation (RPA) initiatives to identify repetitive manual tasks that can be automated at the user interface level with no programming or database work required. These projects have low cost and fast ROI, so they will continue to proliferate.


While all this technological advancement holds great promise for businesses, it also comes with high risks. In the coming months, IoT systems and devices will be the target of hacks.

Embedded computers are becoming ubiquitous in devices such as cars, pacemakers and wearables, but the security in these systems is primitive compared to modern operating systems. Given their high value as targets, we can expect some highly publicized hacks and even more disturbing incidents that will not be publicized.

Furthermore, quantum computing will begin to affect the mainstream, even though it is not yet accessible to the mainstream. For example, digital signatures today are based on how difficult it is for computer architectures to factor the product of two large prime numbers, but quantum computers, available to hackers via cloud, can solve these problems in a matter of minutes. To tackle this, enterprises will need new ways to secure data and communications.

As you look ahead at what this year has in store, assess the technological gaps your company faced over the past 12 months and how you may incorporate these upcoming trends into your IT solutions. Tech innovations will offer a lot of opportunity and some risks for businesses this year, so it is important to be mindful and update your systems accordingly for maximum utilization and security.

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