Monthly Archive:: November 2019

By Anand NarasimhamurthyCategory ConsultingNovember 22, 2019

Steel Output Content Forecasting

Business Problem: One of the world’s largest steel producers wanted to improve the steel plant’s efficiency using data science. For them. the steel being produced must meet a set of composition tolerances (% of constituents). The metallurgical techniques currently

By Sravya BandaruCategory Data Science WannabesNovember 20, 2019

AI in Spam Checkers to BOT Detections

Global Spam has become a major problem for most companies that generate an immense amount of data every day. Social media platforms are facing issues due to spam or fake users. The data which we use is

By Priyanka LaishramCategory Data Science WannabesNovember 14, 2019

From AI-enabled Recommendation Engines to Responsive Websites

Customer satisfaction is deemed important for any company. As long as your customers are happy and satisfied, you are still on the go for a brighter future, in terms of business expansion and development! The AI-enabled recommendation

By Sravya BandaruCategory Data Science WannabesNovember 11, 2019

AI in Engaging Ad Designs to Analysing Ad Spend

Artificial Intelligence has already taken over the world! It has made everything simpler and easier. AI and ML are playing a vital role in almost all of the domains, including Marketing and Advertising. Today, advertisements have become

By Sairam ChavaliCategory Data Science WannabesNovember 6, 2019

AI for All: The Modern Prometheus

The Man a French Newspaper termed as “Merchant of Death” on Wikipedia is introduced to us as Businessman, Scientist & Philanthropist. Was Alfred Nobel a Sociopath that most of his inventions and the companies he has established

By Sravya BandaruCategory Data Science WannabesNovember 4, 2019

AI-enabled Applications to AI-enhanced Market Platforms

Artificial Intelligence and Machine Learning are one of the fastest-growing omnipresent technologies today. AI and ML have become a crucial part of daily human lives by providing assistance in almost every scenario. No matter, whether we accept