2021's Top Data Science & Artificial Intelligence Trends

Compared with AI, data science is an enterprise discipline. Creativeness, innovation, and efficacy are unrestrained in one field; engineering, governance, and regulations are among countless constraints in the other.

Enterprise applications of AI rarely generate tangible business value unless data science is involved.

Unexpected challenges arose in 2020. Furthermore, it also provided a unique opportunity to leverage technology on a variety of fronts. The industry made numerous digital touchpoints, from applying it to retail, eCommerce, and other industries to improving employee safety and consumer experiences during work from home scenarios. New technologies such as data analytics, artificial intelligence, cybersecurity, and cloud computing saw an exponential growth that enabled the business world to change accordingly. 

Based on previous years, 2021 might be the year that tech trends expand into new areas. AI and data science will be the highlights in the new year, including intelligent machines, cloud computing, adoption of natural language processing, and hybrid cloud computing. Some other trends we may see emerge in the coming year include pragmatic AI, containerisation of analytics, augmented data management, differential  privacy, and  quantum analytics, among others.

Analytics Deployments Will Be Backed by the Cloud

Cloud-based analytics will soon be the norm. Cloud analytics have been adopted by departmental and non-critical applications, but recent investments ought to accelerate the transformation of cloud into the primary analytics process. With on-demand compute, serverless analytics, and elastic separation of compute, this will be possible. 

In the future, intelligent machines will play critical roles

Everything around us is becoming digital. Despite this, many of them are rather static, unpersonalised, and unintelligent. These products need to be architected and developed with AI and analytics embedded as an integral part of their architecture prior to their release, not just launched as an afterthought afterward.

Human-machine interactions will be boosted by NLP models

Consequently, NLP is now receiving more attention, since 2020 will bring world-class language modeling to the masses. AI will now play a more significant role in helping retail brands make better decisions and plan their marketing strategies. Using Conversation AI, they will monitor consumer behaviour to generate first-touch data to better understand what their customers need and why.”

Consumers will have access to real-time actionable data

The volume and complexity of data collected by many businesses cannot be analyzed even with recent advancements. The word of the game will be 'actionable data,' and in order to gain actionable data, Data Analysts and Scientists will be in high demand.

We'll Put Customers First

During the coming years, we predict continuous intelligence will be used by most new business systems. Monitoring and optimising scheduling decisions and improving customer service could be accomplished using continuous intelligence in industries.

Conclusion

In future, data science will increasingly integrate both statistical and knowledge-based models into the daily operations of enterprises, including the full spectrum of data and AI methods. When data scientists utilize the full array of techniques and information available to them, they'll be able to generate better features, prepare better data, and explain their work better. For more information, contact Analytics Genie - a specialized data science marketplace around the world.