In an era dominated by burgeoning data reservoirs, the art of data ingestion stands paramount. As we’ve transitioned from traditional data warehousing to more dynamic big data ecosystems, the... Read more »
Artificial Intelligence (AI) is a transformative technology that has revolutionized various industries. At the core of AI’s capabilities lies a crucial element – data. The role of data in... Read more »
Data science projects can be complex, and the complexity only increases when it comes to operationalizing the results. It is no easy task to maintain and manage a large... Read more »
The below is a summary of my recent article on Homomorphic Encryption. In an era where every digital interaction imprints a trail, Homomorphic Encryption emerges as a herald of... Read more »
Machine learning is about creating algorithms and systems that can learn from the data they process and analyse. The more data is processed, the better the algorithm will become.... Read more »
Decision tree learners are powerful classifiers that utilize a tree structure to model the relationships among the features and the potential outcomes. This structure earned its name due to... Read more »
External data is leading innovation on many fronts: business, medicine, transportation – and on the most pressing issue our generation is facing. The climate crisis is growing ever more... Read more »
Research reveals that businesses waste around 80% of the data they generate. This equates to wasted insights, knowledge, and potential. However, this is not surprising given that some companies... Read more »
The healthcare supply chain is rife with inefficiencies – from high costs and poor visibility to warehousing and shipping failures. This results in inflated spending and compromised patient care.... Read more »
Cloud adoption is a must for big data applications. As data volumes grow and workloads increase, on-premise solutions quickly become too expensive, slow and unscalable to justify. Even so,... Read more »
