AI and Big Data Expo 2019, California

November 13-14, 2019 | USA

The AI & Big Data Expo North America, the leading Artificial Intelligence & Big Data Conference & Exhibition is taking place on November 13-14th 2019 at the Santa Clara Convention Center, Silicon Valley. It will showcase the next generation technologies and strategies from the world of Artificial Intelligence & Big Data, providing an opportunity to explore and discover the practical and successful implementation of AI & Big Data to drive your business forward in 2018 and beyond. Our high-level conferences will bring together forward thinking brands, market leaders, AI & Big Data evangelists and hot start-ups to explore and debate the advancements in Artificial Intelligence & Big Data, the impacts within Enterprise & Consumer sectors as well as Development platforms and Digital Transformation opportunities.

Spotlight

The self-service data analytic journey often begins with choosing a data catalog. Before businesses can make the most of their corporate data, analysts need the ability to find and use trusted data, share insights about that data, crowdsource quality attributes and have recommendations presented that relate to data sources that have been discovered.Organizations face growing challenges. The volume of data is exploding and coming from various sources structured, unstructured data, IoT, the cloud, etc. thus, driving the growth of the business analytics market. But not all data catalog solutions are the same. The four distinct data catalog types include:Data Lake Catalog works well if all your data is in a single data lake.Data Warehouse Catalog is more ideal for legacy data warehouses and data management.Cloud Catalog for vendors who offer cloud compute and storage, predisposes you have all your data in their cloud.Enterprise Data Catalog does not discriminate where your data is, what structure it is in or any other restriction, but establishes a virtual data layer to bring all your catalog data into one centralized place.


OTHER PAST CONFERENCES

The Data Science Conference

May 12-13, 2022 | USA

The Data Science Conference is a uniquely excellent conference. Advisory board, speakers, and attendees come from all fields of business analytics and academia like data science, big data, data mining, machine learning, artificial intelligence, or predictive modeling. What brings them here is their common desire to attend an event without being prospected by other attendees.

International Conference on Data Science and Computational Intelligence

December 20-22, 2021 | UK

DSCI aims to identify the challenging problems faced by the development of innovative knowledge and information systems, and to shape future research directions through the publication of high quality, theoretical and applied research outcomes. DSCI is going to highlight the advances in frontiers and applications of general areas such as big data, artificial intelligence, social computing, data mining, information retrieval, and machine learning. DSCI is uniquely placed to deliver fresh perspectives on data science.

Data Science Salon

February 16, 2022 | USA

Data Science Salon will unite the brightest leaders in finance and technology across the nation in data science fields. It is the only industry conference that brings together specialists in the finance and technology data science fields to educate each other, illuminate best practices, and innovate new solutions in a casual atmosphere. Get the most current state of current industry trends and innovations in AI and ML in the Enterprise through DSS podcasts, exclusive content, Webinars, and Live Training.

Next Generation Data Centers 2021

November 30-December 1, 2021 | USA

The data center market is currently experiencing significant growth, and is forecast to be worth 59 billion by the year 2025. But while the market is growing, it is also undergoing a structural shift. Technology such as 5G, and the increasing demand for faster connectivity, will mean that in house data centers increasingly give way a hybrid model that blends the best attributes of in-house, colocation and edge computing for enhanced processing power.

Spotlight

The self-service data analytic journey often begins with choosing a data catalog. Before businesses can make the most of their corporate data, analysts need the ability to find and use trusted data, share insights about that data, crowdsource quality attributes and have recommendations presented that relate to data sources that have been discovered.Organizations face growing challenges. The volume of data is exploding and coming from various sources structured, unstructured data, IoT, the cloud, etc. thus, driving the growth of the business analytics market. But not all data catalog solutions are the same. The four distinct data catalog types include:Data Lake Catalog works well if all your data is in a single data lake.Data Warehouse Catalog is more ideal for legacy data warehouses and data management.Cloud Catalog for vendors who offer cloud compute and storage, predisposes you have all your data in their cloud.Enterprise Data Catalog does not discriminate where your data is, what structure it is in or any other restriction, but establishes a virtual data layer to bring all your catalog data into one centralized place.

resources