2019 IEEE International Conference on Big Data and Smart Computing (BigComp)

The goal is to provide an annual forum for exchanging ideas, challenges, and research results on big data and smart computing which have recently drawn much attention from computer science and information technology as well as from social sciences and other disciplines. The topics of interest for this conference include the following: techniques, models and algorithms for big data; tools and systems for big data; machine learning and artificial intelligence for big data; data mining and data science; web search and information retrieval; infrastructure and platform for smart computing; big data analytics and social media; cloud and grid computing for big data; hardware/software infrastructure for big data; security and privacy for big data; mobile communication and networks; smart devices and hardware; smart location-based services; and big data applications, bioinformatics, multimedia, smartphones, etc.

Spotlight

Ce guide Forrester donne des indications aux décideurs IT et à leur équipe sur les fonctionnalités à rechercher et les questions à se poser pour évaluer les besoins en données propres à leur entreprise, et notamment :la protection complète ;l’automatisation et l’orchestration ;la réutilisation des données, la fiabilité et la res


OTHER PAST CONFERENCES

ACI’s Practical Guide to FCPA Data Analytics

November 28, 2023 | USA

ACI is excited to announce that the 4th edition of the distinctly interactive Forum on FCPA Data Analytics will be taking place in Washington DC. The U.S. Department of Justice, Criminal Division, updated its Evaluation of Corporate Compliance Program in March 2023, with renewed expectations for companies to use data analytics and testing. However, the government expectations remain unclear. With Foreign Corrupt Practices Act (FCPA) enforcement risk intensifying across industries, companies are uncertain whether their compliance programs will meet government scrutiny, or whether they will face costly penalties.

Big Data & AI Toronto

October 18-19, 2023 | Canada

BIG DATA & AI TORONTO is coming back next October bigger and better than ever before. For its 9th edition, the Canadian #1 Tech Event will bring together the entire Big Data & AI industry in North America for a deep dive into what comes next! With hundreds of exceptional talks, breakthrough technology showcases, hyper-concrete masterclasses, and intimate networking happenings, Big Data & AI Toronto is an unrivaled catalyst for real-world solutions that move the industry forward and keep it on the path to success. Be where the action takes place.

Data Architecture Online

July 12, 2023 | USA

The annual Data Architecture Online event will cover key strategies and technologies you need to know in order to build and manage a modern Data Architecture. Tap into the combined expertise of several industry-leading professionals and connect with hundreds of data peers during this day of live, webinar-style sessions. Registration is free and gives you access to the sessions presented throughout the day, the live Q&A with the speakers, and all recorded presentations and materials.

9th Annual Big Data and Analytics Summit Canada

June 13-14, 2023 | Canada

The 9th Annual Big Data and Analytics Summit Canada returns to Toronto in 2023 with leading data experts from a wide variety of industry sectors. Secure your spot today and: Cultivate an innovative data culture and drive data accessibility throughout your company. Harness the latest data governance strategies and keep your information secure. Transform your organization’s approach to acquiring and retaining data Optimize your business insights and deliver improved decision-making. Monetize your data to maximize your ROI. Leave with best practices from 50+ big data executives.

Spotlight

Ce guide Forrester donne des indications aux décideurs IT et à leur équipe sur les fonctionnalités à rechercher et les questions à se poser pour évaluer les besoins en données propres à leur entreprise, et notamment :la protection complète ;l’automatisation et l’orchestration ;la réutilisation des données, la fiabilité et la res

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