Building a successful machine learning model is no mean feat. It involves an arduous model-building phase and what comes next requires another rigor of maintaining the model output quality. A machine learning model once trained cannot live up to the changing data...
Nearly one-third of enterprises admit they don't use AI-based solutions. Tackling the data, tech and deployment-related challenges in a large company can be overwhelming, but not impossible. Filipa Castro, Data Scientist at Continental shared some good practices with...
AI is everywhere and its rate of adoption has significantly increased since the digital acceleration seen through the usher of the covid period. But the aesthetics get worn out soon as the aspiring AI/ML projects do not live up to the potential and end up...
If you are planning to choose machine learning for your business problem assuming its predictions are always correct, then there is something you should know. Machine learning algorithms are probabilistic by nature and are not perfectly accurate. Then what should we...
The role of customer experience is vital and known for a long time. According to the data gathered by CGS, 30% of customers are willing to pay more for excellent service. This can be delivered by listening to the voice of customers and constantly monitoring their...
Virtual communities make a difference, especially during a pandemic where people are unable to meet and interact in person. Slack is a real gold mine when it comes to finding inspiring peers who share similar data science joys and challenges. That’s why we have put...
Netflix’s success with its series “House of Cards” and AI-powered ways to reduce energy consumption at Google server farms by 40% have a shared origin. Both cases are perfect examples of companies monetizing their data. According to IDC data, there were 64.2...
Cloud computing is essentially the backbone of data science. But what exactly makes this technology so critical for data scientists and the AI solutions they build? Businesses are moving to the cloud According to the Flexera (formerly RightScale) State of Cloud...
Although digitalization resulted in generating more data than our previous generations, Covid has highlighted the need to understand data at a rapid pace. Whether it is hospitals trying to staff based on local virus outbreak or companies trying to sustain business due...
Machine Learning (ML) is being applied successfully across many industries and by all kinds of organizations, from start-ups to large corporations. However, many encounter unexpected problems when trying to apply ML to their use case. In this post, we are going to see...