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Data Science Trends to Look Forward to in 2020

Popular Data Science and AI Trends in 2020

The value of data science and AI wasn’t fully understood in the past. However, that has changed in recent years. In fact, data science and AI has moved beyond being a novelty and has become a valuable tool that can be used companywide. Check out the information below regarding popular data science and AI trends that are anticipated in 2020.

Understanding the Value of Artificial Intelligence

While there are some organizations that are technology-savvy and understand the value of artificial intelligence, that’s not usually the case. The awareness of this technology developed slowly and is now growing with the support of internal training on how it can be used to address operational issues and other business challenges to advance key initiatives.

Specialization in Data Science and AI

Professionals working in the area of data science and AI are moving towards specialization. For instance, a specialist in this area can gather the business intelligence required to support the needs of an organization. They can serve in the capacity of decision support directly as opposed to a more distant participation in projects. Having specialization can lead to improved outcomes and better decision-making.

Automated Decisions

The benefits associated with the ability of data science and AI to make automated decisions will continue to be of great value in 2020. However, continued development is required and a greater understanding must be obtained regarding any potential bias that's built into algorithms. The need to ensure fairness is why human involvement must remain a priority.

There are also issues surrounding privacy that must continually be explored in the coming years. It’s the reason why the General Data Protection Regulation (GDPR) went into effect in 2018. As is usually the case, innovation in technology advances much faster than regulations. The GDPR is designed to hold data scientists responsible for consequences that are detrimental to the public.

The bottom line is that data science and AI will continue in an upward trajectory as engineers and data scientists help users understand how to integrate the technology in ways that are practical and useful. Simply put, the ability to make data-driven decisions is beneficial at all levels and the implementation of this technology is a wise business decision now and in the future.