MicroStrategy Presents Industry Expert Analysis Results
Artificial intelligence, machine learning, deep learning, and digital transformation were cited.

It has been predicted that the technologies leading the enterprise sector in 2020 will be artificial intelligence, machine learning, deep learning, and digital transformation.
On the 9th, mobile software company MicroStrategy Korea (MSTR) announced the top 10 enterprise analytics trends to watch in 2020.

Experts identified deep learning, AutoML, semantic graphs, increased data volume, next-generation embedded analytics, data source integration, data-driven upskilling, artificial intelligence, mobile intelligence, and AI-based experience management as enterprise trends for 2020.


Creating a Competitive Advantage Using Deep Learning
Deep learning is expected to create a nexus between knowing and doing. With the practical emergence of deep learning that predicts and understands human behavior, companies have become able to utilize powerful innovative technologies based on intelligence to stay ahead of competitors.


Improving Corporate ROI with Machine Learning
Machine learning is one of the fastest-evolving technologies in recent years, and the demand for machine learning development is also increasing exponentially.

With the rapid growth of machine learning solutions, the demand for machine learning models that are ready to use without expert knowledge continues to increase.


Semantic graphs that deliver business value
Semantic graphs are expected to play a pivotal role in supporting data and analytics in a constantly changing data environment. Organizations that do not use semantic graphs face the risk of lower analytics ROI due to increased costs and complexity.


The growing importance of human insight
As knowledge workers become increasingly familiar with data-driven work, the need to grasp data ethnography, data-related research, and the context of collected data, while simultaneously becoming familiar with materials that cannot provide a complete picture on their own, is expected to grow.

Ethnography refers to the study of various social and cultural phenomena through field research using quantitative and standard investigation techniques.


Accelerating Decision Making with Next-Generation Embedded Analytics
Concise analysis provided in the context of specific applications and interfaces contributes to improving the speed of decision-making. Although curation of concise in-context analysis of embedding types requires a lot of time, next-generation embeddings are expected to gradually grow, eventually driven by technological advancements including no-code and low-code development methods.


Increased integration of data sources
The focus on data diversity will continue. The number of companies with a single platform for data analysis will gradually decrease, and the use of multiple tools for data access will become more common.

Accordingly, the need to integrate data sources is also expected to continue increasing.


Data-driven upkilling
The reality is that enterprise organizations have a high need for data-driven decision-making, but lack human resources.

To solve this problem, efforts to recruit top talent must be made, along with increased investment in training and reskilling for existing employees.


AI Becoming a Reality
CDAOs and CIOs are expected to realize that they can spend 80–90% of their actual time modeling AI use cases in a situation where they have what they want in terms of data.


The Evolution of Mobile Intelligence
Half of organizations will re-evaluate their use of mobile devices and conclude that the technology does not adequately meet employee needs. As a result, executives are expected to review next-generation mobile applications that enable a better work experience and more effective connectivity.


AI-based future experience management
As applications are broken down into headless microservices by business processes, automation and intelligence play a major role in creating mass personalization and efficiency.

The Intelligent Enterprise will leverage context and data to execute the best actions for the next step.


Vijay Anand, Vice President of Product Marketing at MicroStrategy, stated, “Through this report, decision-makers will be able to identify and leverage the latest trends in enterprise analytics, AI, ML, and deep learning. As the report contains insights from the world’s top experts in the analytics industry, organizational leaders will be able to make informed decisions as well as drive conversations within the organization.”