It is very hard to put all the emotions in one post about Data Science Salon Miami Hybrid 2022 and Miami Machine Learning Week, which happened from September 20-23, 2022. The fact that this was our fifth Data Science Salon in Miami and the first large in-person event...
Picture this: On average, organizations lose about $12.9 million due to poor data quality. While the short-term impact is on the revenue, the long-term effect of insufficient data is poor decision-making and data ecosystems’ complexities. The solution? A robust...
Before getting into the details of an Artificial Intelligence (AI) Strategy, let’s first set the foundation to understand what a strategy is. A strategy is the roadmap of the enterprise goals or tasks that a business must achieve. But what are these goals, and how do...
Everything a computer knows or sees is in the form of either ones or zeros. This combination of ones and zeros allows computers to store data and perform mathematical operations. Ones and zeros are also referred to as bits. Computers have electrical components...
As AI and machine learning techniques are evolving quickly, data scientists need to constantly inform themselves in order to keep up with the latest breakthroughs and trends. A great way to do so is by attending conferences, which offer the opportunity to meet other...
Running into an old work buddy, chatting about the most cutting-edge technologies with like-minded people and learning from the best in data science via engaging live sessions. This is the in-person DSS event experience that we have missed so much for the past two...
Machine Learning (ML) models have shown great analytical and predictive benefits while processing vast amounts of data. These models provide significant value when deployed in a real-world production environment. DSS Founder and CEO Anna Anisin sat down with Miriam...
Data-driven, data-first–what every organization likes to be called, but only a few fit the description. Today, organizations cannot implement modern data-centric initiatives without formulating robust data engineering strategies. Data engineering is the process...
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...
The retail industry has always been at the forefront of innovation. It started with the massive pivot of the customers from the brick and mortar to online shopping. Covid has further exacerbated this shift as is evident in the change in consumer preferences and buying...