In simpler terms, it means utilizing the powers that be of machine learning and artificial intelligence for performance improvement. The aim is to activate and increase the scope of automation in hitherto redundant data management systems. AI will be asked to step in as an aid to humans rather than displacing their overlords. Many companies have already started leveraging AI in its information systems. For instance, JobGet, in order to make the job seeking process time-friendly through its application took Appinventiv's assistance in implementing the AI technology. With the use of this innovative technology, our team integrated the functionality of finding employers and employees on the app on the basis of location. This way, employees could connect with employers who are near their vicinity, thus eliminating the excess travel time.

But no matter how different we are, we all have one thing in common. We believe our differences are our strength. So we push for inclusion, challenge convention and bring in new perspectives, to inspire new ideas. Because when we connect by understanding what makes people different, we can create unforgettable experiences that enrich lives.

Artsy's mission is to expand the art market to support more artists and art in the world. Artsy has created the world's largest two-sided art marketplace, with more than 1,000,000 works by 100,000 artists from 4,000 of the world's leading galleries, auction houses, art fairs, and institutions across 190 countries. Artsy is looking for an experienced Senior Data Analyst to help drive improvements to our product, operations, and strategy using data and analytical insights. Our Data Science and Analytics team provides support across all of our products and operations by developing insights and enabling analytical and automated decision making. We build strong partnerships with key stakeholders and work on challenges such as defining, implementing, and tracking company wide metrics, and leading initiatives to improve them.

In recent years the phrase "data science" has become a buzzword in the tech industry. The demand for data scientists has surged since the late 1990s, presenting new job opportunities and research areas for computer scientists. Before we delve into the computer science aspect of data science, it's useful to know exactly what data science is and to explore the skills required to become a successful data scientist. Data science is a field of study that involves the processing of large sets of data with statistical methods to extract trends, patterns, or other relevant information. In short, data science encapsulates anything related to obtaining insights, trends, or any other valuable information from data.