Meetup topic – “Computer Vision – a distinct field or a broad set of disciplines?”
Speaker: Georgi Botev Time: Wednesday, Nov. 26 at 19:00 Place: FMI Sofia, Hall 02 Resume: Georgi will guide us through topics like […]
Speaker: Georgi Botev Time: Wednesday, Nov. 26 at 19:00 Place: FMI Sofia, Hall 02 Resume: Georgi will guide us through topics like […]
In his presentation, Peter revealed how important are news and their interpretation for making money from trading on the stock exchange. Traders try to buy low after any market overreaction to bad news and sell high when the price moves back to the level before the news. The amount of information released every day about the companies, the economy and the markets themselves is enormous and difficult to process and interpret by a trader.
The first meet-up of the Data Science Society is now a fact. On Wednesday (November 5, 2014) we were happy to publicly […]
Presenter: Peter Manolov Resume: His experience as quantitative analyst in hedge fund. Time: 12th of November, 19:00 Place: Technical University Sofia, building […]
Presenter: Alexander Efremov Resume: The stages of an auto-modelling methodology, designed for hypermarket chains, was presented. The methodology was implemented in software […]
After a planning meeting, a project manager has numerous new assignments, a list of decisions, a page of notes, and a few […]
AI adoption reached 88% in 2025, yet only 6% of organizations achieve significant enterprise impact. Success hinges on execution, data clarity, and combining specialized roles—like MLOps and data engineers—rather than finding a single AI developer. As AI skill demand surges 55% year-over-year, navigating talent shortages, probabilistic software development, and post-deployment model drift requires experienced, dedicated teams focused on tight data management and precise, measurable business outcomes.
TL;DR: The biggest mistake companies make with AI is treating it as a product to install rather than a change to manage. […]
Learn how custom Shopify app development helps merchants overcome the limitations of off-the-shelf apps with tailored workflows, integrations, and scalability.
Enterprises are leveraging AI and big data to transition from reactive, historical reporting to proactive, instantaneous decision-making by processing vast streams of structured and unstructured data in real time.
Through the integration of machine learning algorithms, streaming analytics, and automated workflows, organizations can detect anomalies, forecast outcomes, and prescribe optimal actions as events unfold whether optimizing supply chains, personalizing customer interactions, or detecting fraud.
This shift is underpinned by robust data pipelines, cloud-native architectures, and edge computing, enabling split-second insights that drive operational efficiency, competitive agility, and enhanced customer experiences, while also necessitating strong governance to ensure data quality, fairness, and security at scale.
There’s no place for operational friction in the business world. Reliance on manual approaches leads to deep operational bottlenecks, increases data entry errors, […]