The Data-to-Decisions Lifecycle: Business Opportunities and Technology Trends
Optimizing the Data-to-Decisions Lifecycle
Featured Article: Author: Abhishek Sengupta, Walmart Global Tech India Introduction: A necessary but often tedious task data scientists must perform as part of any project is quality assurance (QA) of their modules so as to prevent any unforeseen incidents during deployment. While Quality Assurance and Excellence is quite prevalent in Data Engineering, QE in Data […]
Featured Article: Author: Sai Nikhilesh Kasturi, Data Science & Analytics, Customer Insights & Analysis, American Airlines One of the foremost interesting and challenging things about data science hackathons in Kaggle is struggling to maintain the same ranks on both public and private leader boards. I also have been a victim in struggling to keep the […]
In the age of Big Data, algorithms give companies a competitive advantage. Today’s most important technology companies all have algorithmic intelligence built into the core of their product: Google Search, Facebook News Feed, Amazon’s and Netflix’s recommendation engines. “Data is inherently dumb,” Peter Sondergaard, senior vice president at Gartner and global head of Research, said […]
Featured Article: Author: Kiranjit Pattnaik, MiQ What are biometric recognition systems Biometric recognition systems are computer-based systems that use an individual’s physical characteristics, such as their fingerprint, voice, face or any other part of the body, to authenticate their identity and grant access to secure areas, systems, or services. They are used increasingly as an […]