6 top trends that will impact data management in 2020

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.

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.

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.

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.