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World Conference on Data Science & Statistics (Data Science Week 2023) slated in Frankfurt from 26th to 28th June, 2023 with the theme “Understanding the Data Science: Can help now and in the Future”.
Data Science Week 2023 will provide a universally unique forum for extant work that develops computational methods, statistical, and mathematical in the field of data sciences. This Meeting aims to bring together data scientists, analysts, visualizers, statisticians, mathematicians, researchers who are building fundamentals for data science and its applications across science, engineering, technology, and society. Data Science Week 2023 is an inclusive and totally academics and industry-focused meeting and it’s the conference to engage, build, develop, and learn from the whole data science leaders and experts. It would set up a high standard for its organizing committees, keynote speakers, plenary speakers and session presenters, and a competitive rate for poster presenters.
The conference platform will provide you with many opportunities for online networking and discussion in smaller groups. You’ll be able to share your opinions directly with other attendees and with the speakers.
The conference brought together academics and practitioners in areas including data science, machine learning, artificial intelligence, computational statistics and software, as applied in the Biotech & Pharma, Communications, Cyber & Fraud, Education, Energy, Travel, and many more industry.
Our Conference agenda will offer answers and practical advice that you can take back to your workplace to build mature data practices and strategies for DevOps & CI/CD, cloud, data compliance, AI/ML, and more.
Data Science Week 2023 is an annual academic and business gathering with the Data Science peers at a single platform to discuss ways of enabling faster Innovation and deployment across the enterprise by setting up modern Data Science strategies. With renowned international speakers, presenting across three days, roundtable discussions, and plenty of other learning and networking activities, the Data Science Week 2023 is the place for all CDOs and data practitioners working with Machine learning, Artificial Intelligence, Robotics, Data Governance, Data Management, Data Quality, Enterprise Architecture, and DataOps. This global Conference is where executives and business professionals meet the best and brightest innovators in AI, ML, and Data Science.
The conference will facilitate the young researchers, industries leaders, and research agencies especially, those, who are functioning their research work in the data science domain of Computer Science, Information Technology, Healthcare, Finance, Electronics, and Communication Engineering with valuable deliberations in order to make the results more representative. The program is divided into three days, each day focusing on a specific topic, and contributions to this colloquium will also present practice-oriented research as well as research on teachers’ professional development.
Business executives:
VPs, heads, and leaders from the following industries: healthcare, education, finance, insurance, biotechnology/pharmaceuticals, manufacturing, retail, media & marketing, energy & utilities, government, transportation, and e-commerce.
Chiefs and Heads of: A chief or head of the following departments: Data, Data Science, Technology, Information, Analytics, Strategy, Innovation, Marketing, etc.
Innovators such as: Innovators include entrepreneurs, investors, VCs, apostle & Decision-makers, and Strategy Executives.
Researchers and Scientist: Professors, lectures, scientists, post-doctorate, students
University of Technology of Troyes, France
Prof. Hichem Snoussi received the diploma degree in Electrical Engineering from the Ecole Supérieure d'Electricité (Supélec), Gif-sur-Yvette, France, in 2000. He also received the DEA degree and the Ph.D. in signal processing from the University of Paris-Sud, Orsay, France, in 2000 and 2003 respectively. Between 2003 and 2004, he was postdoctoral researcher at IRCCyN, Institut de Recherches en Communications et Cybernétiques de Nantes. He has spent short periods as visiting scientist at the Brain Science Institute, RIKEN, Japan and Olin Neuropsychiatry Research Center at the Institute of Living in USA. Between 2005 and 2009, he was associate professor at the University of Technology of Troyes, France. He has obtained the HDR degree from the University of Technology of Compiègne in 2009. Since 2010, he is Full Professor at the University of Technology of Troyes. His research interests include Bayesian techniques for source separation, information geometry, differential geometry, machine learning,etc. Since 2010, he has been in charge of the CapSec Plateform (Sensors for Security). He is the principal investigator of many research projects and industrial partnerships. Between 2016 and 2020, he has been manager of LM2S Lab in Charles Delaunay Institute. Since 2021, he is deputy director of LIST3N lab and team leader of M2S group. He co-founded 2 start-up: Aquilae (IA for videosurveillance) and Damavan Imaging (Compton cameras for nuclear inspection).
Technische Universitaet Berlin, Germany
Dr. Alexander Borusan is Deputy Operations of the Database Systems and Information Management group at the Technische Universität Berlin. His research interests include data streams management. Prior to his work in Berlin, he worked at the Kiev Polytechnical Institute and as a visiting professor in the department of computer science at the University of Hamburg. Alexander worked in various national and international research projects and in projects on behalf of industry in the Ukraine, USA, France, and Germany. He is currently the member of the Management Team of BIFOLD, the Berlin Institute for the Foundations of Learning and Data.
University of Tartu, Estonia
Chinmaya Kumar Dehury is an Assistant Professor of Distributed Systems at Mobile & Cloud Lab, Institute of Computer Science, University of Tartu, Estonia. He completed his Ph.D. in Computer Science and Information Engineering from Chang Gung University, Taiwan. He has attended many international meetings and was invited to talk at workshops and conferences. His research interest varies from Artificial Intelligence Technologies and Applications. He has been a Technical Committee Member in 2021 and is currently a PC member in ACS/IEEE,2022.
Micron Technology, Inc., United States
Dr. Chong Leong, Gan received the B.S. degree in Chemical Engineering from National University of Malaysia in 2000, M.S. degree in Chemical Instrumentation in 2003 from University Science Malaysia, and Ph.D. in Nanoelectronic Engineering from University Malaysia Perlis in 2015. Since 2006, he has been a Quality and Reliability Member of Technical Staff with Altera Corporation, Senior R&D Engineering Manager with Western Digital Inc, and recently as Package Characterization Director with Micron Technology Inc.
NTT Data, Italy
Giancarlo Cobino is Head of Data Science and Global MLOps at NTT DATA. He has a background in quantitative asset management, leading teams that developed mid and high-frequency strategies. He has recently worked on many projects, from Predictive maintenance to automatically generated content. He's leading the global MLOps value proposition and the development of ML and AI platforms, enabling enterprises to collaborate on AI projects, quickly deploy models, and monitor their performance over time.
He completed his study at the University of Pisa.
NTT Data, Italy
Danilo Bruno is Head of AWS Data & Analytics & Global DataOps at NTT DATA Italia. He completed his graduation with a Master of Computer Engineering, from the Sapienza University of Rome. He has a background of working in an IT company where he was a Designer and developer of architectures of Big Data Analytics, with the development of different DBRMS & data sources, ETL Development, system support, and development in SAS. Development and configuration of various Hadoop components: Pig, Sqoop, Flume, Hive, Impala, Kafka, Oozie, Spark.
Poststrasse 8
60329 Frankfurt/Main
Germany
Name: Ms. Santona
Phone: +44 1442 781 082
Email: datascience@thepeopleevents.com
Reception manned 24 hours a day
Reception manned at weekends
Check-In : 15:00
Check-Out : 12:00
The location literally opposite the main train station is very good; the airport train (S8 or S9) goes from this station also. The Messe Frankfurt Exhibition Centre is just 4 minutes away by S-Bahn train. Public parking is available near Fleming’s Express Hotel Frankfurt.
Getting Around
⇒ Frankfurt Airport (FRA) – 18 min drive
⇒ Mainz (QFZ-Mainz Finthen) – 35 min drive
⇒ Frankfurt Central Station (tief) – 3 min walk
⇒ Frankfurt (ZRB-Frankfurt Central Train Station) – 4 min walk
⇒ Frankfurt (Main) Central Station – 5 min walk
⇒ Central U-Bahn – 3 min walk
⇒ Central Station South Side Tram Stop – 5 min walk
⇒ Münchener Straß/ Frankfurt Central Tram Stop – 5 min walk
Conference starts will some guest talk followed by Keynote speeches by several renowned personalities.
The topics for this session, will be: Data Science & Technology and AI & Machine Learning
Here, discussion would be on Public Policy and Big Data & Analytics
Presentation topics: Advanced Analytics and Databases & Data Security
Day 2 starts with Keynote presentation from eminent people in the field of Climate Change and other related fields.
Technologies in Data Visualization and Computational Science & Numerical Analysis
Neuromorphic Computing
Cloud Computing
Day 3 Starts with 5-7 Keynote Talks from multinational speakers.
Mathematical Aspects of Data Science and Deep Learning
Statistical Learning and The Best of Predictive Analytics
Business Intelligence and Digital Transformation
499
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399
Reserve your seat while they last. We have a limited number available.
