The 15th International Conference on Data Science

July 29-August 1, 2019 | USA

ICDATA, the International Conference on Data Science, is the renamed former International Conference on Data Mining, DMIN, which was held for thirteen years until 2017. In 2018, we renamed the 14th conference on this topic into ICDATA. The new name (and acronym) is more attractive and reflects a more modern perspective – although the content itself has not changed dramatically in the sense, that we still aim at organizing an interesting and modern conference related to all aspects of data science, e.g., data mining, machine learning, big data. We are the same organization team as in the past for DMIN, and we have the same processes (review feedback etc.). The Big Data Conference, ABDA, is merged with ICDATA.

Spotlight

User Entity and Behavior Analytics (UEBA) is a cybersecurity technology and approach that focuses on analyzing the behavior of users and entities (such as devices, applications, and systems) within an organization's IT environment. By using advanced data analytics, machine learning algorithms, and artificial intelligence, UEBA aims to detect and prevent cyber threats by identifying anomalies, deviations, or patterns in user and entity activities that might indicate potential security risks.


OTHER PAST CONFERENCES

Intensive Data and Analytics Workshop IV

June 5-8, 2023 | USA

Be prepared to thrive! Intensive IV promises new innovations, proven fast-track learning, and something relevant at each session time for every ability. Whether you are at the forefront or just beginning, there's something for you! The conference hours are Monday, June 5 – Wednesday, June 7 from 8:00 am to 9:00 pm and Thursday, June 8 from 8:00 am to 6:00 pm, with breaks for recharging. (Note: Consider adding a day before and/or after to your hotel reservation due to the start and end times of the workshop.)

Data & Analytics Predict, SG

July 26-28, 2023 | Singapore

The avalanche of data generated by companies and their customers should be a competitive advantage, but most companies are struggling to manage it all. Data accessibility, quality, governance and security are all critical for operationalizing machine learning applications, so the stakes are high. Emerging frameworks are helping us come to grips with these issues but the answers go beyond just technology.

BI Innovation & Tech Fest

September 18-19, 2023 | South Africa

The world is changing at an unprecedented rate, and the business intelligence, analytics and data space has never been more exciting! The annual BI Innovation & Tech Fest focuses on inspiring and empowering those who are passionate about driving innovation in the business intelligence function, from a people, process and technical perspective. The event offers attendees a world-class experience, with an unprecedented agenda, access to leading partners and vendors in the space, and invaluable networking opportunities.

TDWI Virtual Summit Modern Cloud Data Platforms

April 12-13, 2023 | USA

TDWI’s complimentary Virtual Summit this April positions data leaders to maximize the business value of their cloud data platforms. At the April Virtual Summit, our speakers will bring you up to speed on maximizing the business value of your cloud data management investments. TDWI research will expose trends and opportunities based on our latest quantitative research, with expert analysis and recommended best practices. Expert speakers will show you how to translate these trends into valuable initiatives in your own business, and our case study speakers will share the details of their own journeys.

Spotlight

User Entity and Behavior Analytics (UEBA) is a cybersecurity technology and approach that focuses on analyzing the behavior of users and entities (such as devices, applications, and systems) within an organization's IT environment. By using advanced data analytics, machine learning algorithms, and artificial intelligence, UEBA aims to detect and prevent cyber threats by identifying anomalies, deviations, or patterns in user and entity activities that might indicate potential security risks.

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