Data Science Conferences 2023

To add a free short entry here for an event related to AI, Big Data, Data Science, or Machine Learning, email the following 4 items to listings at kdnuggets.com: Event name, Location (or online), URL & Date(s).

November

• Nov 1 • ODSC Free In-person Meetup: Machine Learning for the 99% • San Francisco, CA, USA
• Nov 1 • StreamSets Roadshow: SF Bay Area • San Mateo, CA, USA
• Nov 1-3 • ODSC West 2022 • San Francisco, CA, USA
• Nov 2 • Modern Data Stack Roadshow • Denver, CO, USA
• Nov 2 • AiX Summit 2022 • San Francisco, CA, USA + Virtual
• Nov 2-3 • The AI Summit Austin • Austin, TX, USA
• Nov 2-3 • IoT World • Austin, TX, USA
• Nov 2-3 • Quantum Computing Summit • Austin, TX, USA
• Nov 3 • StreamSets Roadshow: New York • New York, NY, USA
• Nov 6-11 • TDWI Orlando conference and Executive Summit, Data Management • Save 25% with code KD25 • Orlando, FL, USA
• Nov 8 • The Data Science Symposium 2022, Presented by the UC Center for Business Analytics • Cincinnati, OH, USA
• Nov 8 • iMerit ML DataOps Summit 2022 • Virtual
• Nov 9 • StreamSets Roadshow: Sydney • Sydney, Australia
• Nov 9-10 • RE•WORK MLOps Summit • London, UK • Use code KD30 to save 30% off your pass
• Nov 9-10 • Reuters Events: Energy Transition North America 2022 • Houston, TX, USA
• Nov 9-10 • Deep Learning Summit • Toronto, ON, Canada
• Nov 10 • Unleashing Hybrid and Multi-Cloud Data Science at Scale • Virtual
• Nov 14-16 • Marketing Analytics & Data Science (MADS) Conference • San Antonio, TX, USA • Register with VIP Code MADS22KDN and Save 15%
• Nov 14-16 • TDWI Visualization, Dashboards & Analytics Adoption • Save 25% with code KD25 • Virtual
• Nov 15 • StreamSets Roadshow: Minneapolis • Minneapolis, MN, USA
• Nov 15-16 • Snowflake Build ‘22 • Virtual
• Nov 16-17 • 3rd Edition of Future Data Centres and Cloud Infrastructures • Dubai, UAE
• Nov 16-17 • Smart Data Summit Plus 2022 • Dubai, UAE
• Nov 16 - 17 • NODES 2022 • Virtual
• Nov 17 • StreamSets Roadshow: Dallas • Dallas, TX, USA
• Nov 17-19 • AAAI Fall Symposium on Artificial Intelligence for Predictive Maintenance • Arlington, Virginia, USA
• Nov 17-18 • Data Science Summit 2022 • Warsaw, Poland + Virtual
• Nov 22 • trade/off: The Decision Intelligence Summit • Berlin, Germany
• Nov 22-23 • Nordic Data Science and Machine Learning Summit • Stockholm, Sweden + Virtual

December

• Dec 5-7 • TDWI Data Modeling Essentials • Save 25% with code KD25 • Virtual
• Dec 6-9 • Incorta Data App Week • Virtual
• Dec 7 • Data Science Salon NYC | AI and ML in Finance & Technology • New York, NY, USA
• Dec 12-16 • The 20th Australasian Data Mining Conference 2022 (AUSDM’22) • Sydney, Australia + Virtual

2023

• Jan 16-20 • DeepLearn 2023 Winter: 8th International School on Deep Learning • Bournemouth, UK
• Feb 7 • AAAI-23 Constraint Programming and Machine Learning Bridge • Washington, DC, USA
• Feb 21-22 • Data Science Salon Austin | AI and ML in the Enterprise • Austin, TX, USA
• Feb 24 • Data Careers Summit • Virtual
• Mar 1-2 • Subsurface LIVE 2023 • Virtual
• Mar 8-9 • Data2030 Summit MEA 2023 • Dubai, UAE
• Mar 15-16 • The European Chatbot & Conversational AI Summit – 3rd exhibition • Edinburgh, Scotland + Virtual
• May 10-12 • J On The Beach • Málaga, Spain
• May 11-12 • Data Innovation Summit 2023 • Stockholm, Sweden + Virtual
• Jun 7 • Data Science Salon New York | AI and ML in Finance & Technology • New York, NY, USA
• Jun 8 • Data Science Salon New York | AI and ML in Media & Advertising • New York, NY, USA
• Jun 26-28 • Data Science Week 2023, World Conference on Data Science & Statistics • Frankfurt, Germany
• Jul 8-11 • MDA AI&PR 2023: 18th International Conference on Mass Data Analysis of Images and Signals • New York, NY, USA
• Jul 12-16 • ICDM 2023: 23th Industrial Conference on Data Mining • New York, NY, USA
• Jul 15-10 • MLDM 2023: 18th International Conference on Machine Learning and Data Mining • New York, NY, USA
• Jul 20-21 • DataConnect Conference • Columbus, OH, USA + Virtual
• Aug 7-9 • Ai4 2023 • Las Vegas, NV, USA
• Sep 20-21 • Big Data LDN 2023 • London, UK

ICDMAI 2023: 7th International Conference on Data Management, Analytics & Innovation DIAT Pune, India, January 20-22, 2023

Welcome to the official website of the Seventh International Conference on Data Management, Analytics and Innovation - ICDMAI 2023, being held during 27-29 January, 2023 in Pune-India. The Conference aims at bringing eminent academicians, corporate executives, researchers, technocrats and experts from the field of Computer Science, Information Technology, Computational Engineering, Electronics and Telecommunication, Electrical, Computer Application and all the relevant discipline to a common forum for exploring and discussing the technology advances and innovations that play a key role in data management and analytics.

The ICDMAI envisions its role towards data management as well as analytics and its enhancement through collaboration, innovative methodologies and connections throughout the globe. In this direction, the mission is to deliver and co-ordinate, enact and disseminate research and resources that enhance the impact and growth of education pertaining to the theme of the conference. The primary goal of the conference is to promote research and developmental activities in field of Data Science. Another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in India and abroad. The conference is held every year to make it an ideal platform for people to share views and experiences in multidisciplinary areas of Data Science.

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. 

Contributors are requested to follow the guidelines given below:

• The title page should include an informative title, name(s), address(es), email id(s), contact no(s) of all authors and affiliations in Times New Roman 14 (only author’s name should be bold).
• Abstract should be of 100-300 Words written in italics followed by a list of keywords which are to be written in alphabetical order from the second page onwards. Easy Chair will accept only 300 Words.
• The full paper should have atleast 10-14 A4 pages including introduction, survey of literature, proposed work and result section. It excludes bibliography and appendices.
• Use past tense while referring to your results and put everything in a logical order.
• Typescript should be MS Word compatible. The script should be typed on one side with single column, single line spacing 12 font, Times New Roman and 1” margin on all sides of the page.
• All charts, graphs, pictures should be drawn and labeled legibly as “figure 1”, “figure 2”, etc. Refer them appropriately in the text of respective section.
• Captions of the charts, graphs, pictures should be complete enough to allow appreciation of the illustration without referring to the text.
• The conclusion should end the paper.
• Literature cited should be in chronological order, by first author name, title of the paper, journal name, volume, year and page number.
• Contributor should certify on a separate sheet that the manuscript is his/her original contribution. It should be mentioned that the paper has not been submitted or accepted for publication anywhere else.

Note: Papers less than 10 Pages will be considers as Short Papers

List of Topics

• Tracks & Topics :

  Seventh International Conference on Data Management, Analytics and Innovation (ICDMAI – 2023) solicit papers in the areas of Computer Science, Information Technology, Computational Engineering, Electronics and Telecommunication, Electrical, Computer Application and all the relevant disciplines to a common forum. Original, unpublished research papers highlighting specific research domains from all viewpoints are invited from delegates all over the globe. Following are the topics of interest but not limited to:-

Track I: MACHINE LEARNING

1. Algorithms and Models

2. Feature Engineering

3. Supervised Learning - Classification, Regression

4. Unsupervised Learning

5. Semi-supervised Learning

6. Association rule Mining

7. Recommendation System

Track II: AI & DEEP LEARNING

1. Heuristic Search, nature inspired search

2. Fuzzy and Rough Set

3. Reinforcement Learning

4. ANN and Deep Neural Networks

5. RNN, CNN, RBM, Transformer

6. Auto Encoder, GAN, Transfer Learning

7. Application in Computer Vision, Natural Language Processing, Time Series Data

8. Other research Issues and Interdisciplinary applications in Science, Social Science and Humanities

Track III: DATA STORAGE, MANAGEMENT AND INNOVATION

1. Data Storage

2. Data warehouse and Data Lakes

3. Retrieval

4. Advance Database Management (Graph database ,Column based databases ,NO SQL)

5. Other contemporary issues and Techniques

6. Security and Privacy

Track IV: ENABLING TECHNOLOGIES

1. Big Data

2. Cloud Computing

3. IoT

4. Robotics

5. Block Chain

6. 5G

7. Quantum Computing

Track V: DATA SCIENCE TECHNIQUES FOR HANDLING EPIDEMIC, PANDEMIC

1. Forecasting models for Tracking Number of affected, Deaths

2. Image Processing Techniques for detection of disease

3. Applying Text Analysis to understand research articles to get a better understanding of the Research Literature

4. Drug Discovery and Genomic Sequencing

5. Assessing the business and Economic Impact of an Epidemic and Pandemic

6. Social Media Analytics to understand the Sentiments , Specific issues of Concern

7. Building Conversation Agents to communicate genuine information

8. SCM Analytics

Contact

All questions about submissions should be emailed to  -