New technical trends in data science



New technical trends in data science



Transparency and Traceability

Consumers who are increasingly aware that their personal information is valuable, are demanding control. Many are recognizing the increasing risk of securing and managing personal data. Beyond that, governments are implementing strict legislation to ensure they do. Transparency and traceability are critical elements to support these digital ethics and privacy needs.

Democratization of Technology

Democratization of technology refers to the process by which access to technology rapidly continues to become more accessible to more people.

Human Augmentation

Human augmentation explores how technology can be used to deliver cognitive and physical improvements as an integral part of the human experience. This augmentation is leveraging technology to increase human capabilities both physically and cognitively. Companies like Boston Dynamics have already developed a wide variety of human augmenting devices that can be used in factories or on the battlefield.

The Distributed Cloud

Distributed cloud is how the cloud is shifting. Most have thought of the cloud as being location independent — it’s just out there; it’s up there somewhere. But now with distributed cloud, physical location of where those data centers are located becomes increasingly important. Addressing regulation issues and latency issues and those kinds of things is becoming much more important.

Automated Data Science

Even in today’s digital age, Data Science still requires a lot of manual work. Storing data, cleaning data, visualizing and exploring data, and finally, modeling data to get some actual results. That manual work is just begging for automation and thus has been the rise of automated Data Science and Machine Learning.Cleaning big data often takes up most of a Data Scientist’s expensive time. Both startups and large companies such as IBM offer automation and tooling for data cleaning.

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