August 27, 2018

DSMP 2018: MindCraft Presents on Time Series Decision Systems

From August 21 to 25, Lviv became a hub for International Data Science Experts as it hosted the IEEE Second International Conference on Data Stream Mining & Processing (DSMP 2018). The conference drew over 300 participants from various countries, fostering collaboration and knowledge exchange on the latest advancements in Big Data, Artificial Intelligence, and Data Mining.

DSMP 2018 featured four key conference sections, each exploring critical aspects of Data Science:

  • Big Data Analysis: Delving into the techniques and applications of processing and analyzing massive datasets.
  • Machine Vision and Image Processing: Showcasing innovations in computer vision and image analysis.
  • Dynamic Data and Data Stream Analysis: Focusing on the challenges and solutions for handling real-time, evolving data.
  • Hybrid Computational Intelligence Systems: Investigating the integration of various AI techniques for enhanced problem-solving.

The conference provided a platform for researchers and industry professionals to present their latest findings and discuss emerging trends. Notably, Andy Bosyi, Founder of MindCraft, delivered a compelling presentation on “Decision-making systems based on time series.” His insights into leveraging time series data for informed decision-making resonated with attendees, highlighting the practical applications of advanced data analysis.

photo from Conference

“DSMP 2018 was a resounding success, bringing together a diverse group of experts to address the most pressing challenges in Data Science,” said a conference organizer. “The quality of presentations and the level of engagement demonstrated the growing importance of these fields in today’s technology-driven world.”

Andy Bosyi during presentation

The conference underscored the growing significance of Big Data, AI, and Data Mining in various industries, from healthcare and finance to technology and manufacturing. Participants left with valuable knowledge and new connections, paving the way for future collaborations and advancements in Data Science.

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