Spiros Potamitis is a Senior Data Scientist and a Global Product Marketing Manager of Forecasting and Optimization at SAS. He has extensive experience in the development and implementation of advanced analytics solutions across different industries and provides subject matter expertise in the areas of Forecasting, Machine Learning and AI. Prior of joining SAS, Spiros has worked and led advanced analytics teams in various sectors such as Credit Risk, Customer Insights and CRM.”
In a global economy marked by fragile supply chains, scarce resources and rising energy costs, the spotlight is on forecasting to address these issues. In 2022, McKinsey & Company uncovered a staggering $600 billion annual food waste, equating to 33% – 40% of global food production, spotlighting the devastating consequences
Cloud computing has become the backbone of countless industries, helping organizations use the power of analytics, machine learning and AI for insights and innovation. However, the rapid expansion of cloud computing made the cloud develop a significant carbon footprint. To put this into context, cloud computing has been calculated to be
I had the privilege of attending the Open Data Science Conference (ODSC) in London and it was an incredibly enriching experience. Immersed in a gathering of like-minded professionals and experts, ODSC provided a captivating platform to delve into the latest advancements in the field of data science. From exploring the
The shift to cloud computing has dramatically transformed how organizations and businesses store, manage and analyze their data. The benefits of this shift are well-known: Moving to the cloud increases the potential to gain more value their data through faster access, greater scalability and cost-efficiency. All plain sailing, right? Not
Data science teams are no longer comprised of tiny groups of Ph.D. holders exploring cutting-edge projects. Organizations that wish to stay competitive in their marketplaces today need effective data science teams. A strategy to effectively apply advanced analytics and data science to drive better products, services and decisions has many
This year we had the pleasure to attend the 42nd International Symposium on Forecasting in Oxford, UK. SAS participants traveled from across the globe. They presented their research, discussed their ideas, and learnt from some of the most reputable names in the forecasting space. The presentations were captivating and the
SAS Visual Forecasting is a powerful and flexible tool that can cover all the forecasting needs of an organisation. Users can automatically produce large-scale time series analyses and hierarchical forecasts – without human involvement. Having both a friendly user interface and a programmatic interface allows everyone to take part in
When the automatic time-series techniques can't produce adequately forecasts, a tool should be equipped with multiple machine learning techniques.
