Advanced-Data Analytics and Artificial Intelligence have played very crucial roles in the advancement of various business processes and custom software application development services towards achieving maximum growth. The future of Data Science is one that now concerns a much broader interest group that cuts across multiple industries. Data Science has provided several businesses with technologies and various solutions to automate several intricate processes that involve generating, analyzing, and presenting current data.

Technology has continued to evolve vigorously, especially in the field of Machine Learning and Artificial Intelligence. Growth like this has enabled Data Science to weave together a variety of networks and advanced-tech like Deep Learning, Internet of Things (IoT), Artificial Intelligence, etc. This advantage has made it possible for data generation processes to materialize more rapidly.

Since technology is continuously making significant advancement, Data Science quickly offers a robust, efficient, and reliable resource. A comprehensive blend of technology, algorithm computation, data inference, and analysis, enables Data Science to solve the multifaceted demands of multiple industries effectively.

 To help you keep-to-speed with the latest trends in Data Science, we have compiled a list of the top trends. These projections will push your industry and business app development towards its ideal in 2020.

The top 5 data science trends for 2020 are:

1. Access to AI and Intelligence Applications

Artificial Intelligence has come to be the diagnostic technology for large and small businesses. All facts continue to point out that the trend will see more success in the coming years. 2020 will feature AI more prominently across various fields. This development will mainly materialize because AI enables industries to execute their overall business processes more efficiently and effectively. Also, AI offers a better approach to handling both clients’ and customers’ data.

2020 will feature the integration of Machine Learning, Artificial Intelligence, and other cutting edge technologies in the development of advanced applications for business, especially for Internet of Things applications. Automated Machine Learning will also play a vital role in providing Data Science with more efficient and effective data management.

2. Massive Evolution in Edge Computing

Edge computing, which is currently driven by sensors, is projected to take over mainstream cloud systems sooner, following the enormous growth in IoT technology. With Edge Computing, businesses can store streaming data alongside their data sources. This technique makes it possible for companies and business management software to analyze data in real-time quickly. The technology also uses less network bandwidth and doesn’t necessarily require high-end storage, giving companies with a modest budget more advantage.


Edge computing

The number of devices that have the ability to collect data is increasing rapidly. This statistics makes Edge Computing a preferred solution, mainly because it offers more advantages in resolving latency, connectivity, and bandwidth issues. When Cloud Computing and Edge Computing are combined, they can provide a more harmonized structure that is effective for tackling the problems associated with data management and analysis.

3. Massive Growth of Internet of Things (IoT)

A report by IDC projects that investments in the technology of the Internet of Things would reach a trillion dollars before the end of 2020. This report also highlighted that there would be massive growth in the development of connected and smart devices. The event will be an advancement to the previous technology that allowed us to remotely control smart home appliances from our phones using intelligent apps. With the new improvements, however, we will be able to monitor and access more from IoT and Internet of Things applications.

There will be more developments of smart applications like Microsoft Cortana, Siri, Alexa, Google Assistant, etc. that enable its users to automate various processes. This trend will share a considerable part of the focus on smartphones that supports the use of IoT. Hence, investors will be encouraged to invest more IoT smartphone development, as well as other IoT technologies.

4.Rapid Growth of Big-Data Analytics

To ensure steady growth in your business, you must be able to identify the critical details behind certain events. Through data generated from predictive analysis, companies can review major concerns easily, quickly identify future possibilities, and strategize towards achieving them.

Big-Data Analytics plays a significant role in Data Science. The technology equips businesses with the needed resources to gain a viable edge over data. Such an advantage creates the opportunity for companies to achieve their business goals efficiently and more rapidly.

An excellent example of this technology is its usage in identifying customers’ interest through records of their purchases or their browsing history. Information acquired from such data enables companies to develop smarter strategies to retain their current customers while targeting new ones effortlessly.

Ultimately, 2020 will feature more advancements in the technology of Big-Data Analysis to enable more strategic inputs from companies for growth and overall customer satisfaction and better custom software application development services.

5.Increased Demand for Data Science Security Professionals

Like with the success of any other trending technology, data science will also experience its equal share of security challenges. Following the adoption of Machine Learning and Artificial Intelligence, a lot of new title-roles will emerge in the Data Science industry. One of the roles expected to be highly sorted after is that of security professionals in Data Science.

Data Science professionals will also be required to have adequate command over Computer Science as both Machine Learning and Artificial Intelligence depend solely on data. Hence, to process data more efficiently while ensuring its security, professionals will need to have expertise across relevant fields of Computer Science.

The market already has a comfortable number of experts that are well vest both in computer science and data science. However, the expected rise in security challenges will demand the integration of more security-oriented professionals across the industry. These specialists will be explicitly engaged with the responsibility of developing viable strategies to process data more securely, among other things.

Additionally, Data Science Security Professionals will be required to be well versed with the latest trends in technologies related to Big-Data analysis and Data Science. For instance, Python is one of the leading languages for Data Analysis and Data Science. Hence, a Data Science security professional who has a clear understanding of the concepts in python language can tackle security complications related to data science more effectively.

One other notable change to expect in 2020 will be more focused on customer rights. The laws associated with customer rights will encourage companies to develop more transparent Artificial Intelligence.

Following the privacy legislation at both the international and local levels, companies now have a new sense of responsibility on customer data. Similarly, users’ level of control over how their data interact with artificial intelligence will be guided by the legislation of the General Data Protection Regulation.

Customers will have the right to demand to know how the AI tools of companies make decisions where it concerns them. Just like humans can engage professional translation services like The Word Point instead of using technology like Google translate, Humans will also reserve the right to request human intervention, where they do not feel comfortable with AI services, and so on. Changes like this will make massive turnarounds in Data Science and also open the field to more roles to ensure more customer satisfaction.


Data Science has gained its prominence across a broader range of industries. The technology is still making more rapid successes daily, especially in the IT industry. Because of the various advantages that Data Science offers, several businesses have already adopted it for better service delivery and customer satisfaction. Hence, it is crucial to keep updated with the latest trends. This post has covered a comprehensive lineup of the top Data Science trends to expect in 2020. With the information provided, you can effectively evaluate where your business processes need improvements and implement strategic changes to ensure maximum growth.

What is the next big thing in computer science like data science/blockchain?

The future is artificial intelligence (AI). AI, Machine Learning (ML) and Data Science are the next big things in the world of computer science and enterprise application development.

What are proven useful data transformation technologies?

The most proven and useful digital transformation techniques for a business application are Artificial Intelligence, cloud computing, big data and IoT.

How much does it cost to develop the IoT app?

An IoT enterprise application development should cost somewhere around $10000-250,000. The cost varies as per the type of the app and the requirements.

Which has better scope, IoT or mobile app development?

Both technologies have an equal part to play. IoT and Mobile apps are enterprise application development technologies that will be shaping the world in the days to come.

What are the major benefits of developing custom mobile apps?

Developing a custom enterprise application for smartphones provides your business with various benefits. A few of them are:

  1. Improves Efficiency
  2. Offers High Scalability
  3. Secures Your App Data
  4. Integrates With Existing Software
  5. Easy to Maintain
  6. Improves Customer Relationship
  7. Facilitates New Client Data Retrieval
  8. Provides Real-time Project Access