The still young discipline of the management and governance of knowledge graphs (KG) is gradually beginning to consolidate on the basis of concrete project experience. I...
What if I told you that companies that don’t embrace Ethical AI are leaving significant amounts of “Money on the Table”; that they are not only missing out on poten...
If you think that the definition of Artificial Intelligence is definitive and concrete, maybe AI isn’t exactly what you know. AI is a separate entity in itself, a w...
A significant portion of social media content uses Algorithmic Filtering (AF). AF results in issues with fake news, polarizing opinions. A tweak to AF may be the solution...
Big data analytics is concerned with examining data to uncover correlations, hidden patterns, customer preferences and market trends that can enhance decision-making. Peo...
Big data is becoming a much-talked-about phenomenon across different fields, from marketing to IT. There’s an abundance of information on mining data resources, but the...
This blog is the second part in a series. The first part is The Bayesian vs frequentist approaches: implications for machine le… In part one, we summarized that: Th...
Data integration involves combining the organization’s data from different sources to create one usable consolidated stream of data. When well-executed, data integratio...
The Time-Series ecosystem Time-series analysis has been studied for more than a hundred years, however, the extraordinary growth of data available from numerous sources a...
Increased consumption of data, more powerful computing, and the strong inclination towards data-driven decisions in business have made data science a crucial part of toda...