Women in Business Expo

October 16-17, 2019 | USA

Despite the efforts of some of the biggest global technology brands, there is still a huge disparity between the number of male and female workers. In the wider tech industry, just 17% of employees are women and, according to a recent study by Analytics Insight, only 30% of women are actively working in Data Science and other data-oriented jobs.

Spotlight

Unplanned downtime is one of the most significant pain points for industrial manufacturers today, costing them an estimated $50 billion each year. The risk is even greater for process manufacturing, where a critical equipment failure could result in the loss of an entire batch, environmental hazards, or safety risks. The adoption of digital technologies, such as the industrial internet of things (IIoT), promises to mitigate these threats by forecasting equipment failures and catching faults before they lead to unscheduled shutdowns. However, in practice, several challenges arise when maintenance personnel and operations leaders work to implement an IIoT solution aimed at eliminating unplanned downtime.


OTHER PAST CONFERENCES

Data Science Perspectives - Multidisciplinary PhD Conference

February 6-7, 2023 | UK

Newcastle University is delighted to organise and host the 2023 Data Science Perspectives—Multidisciplinary PhD Conference, aimed at PhD students from across the entire Turing Institute network. Our primary aim in offering this conference is to facilitate network and community building among early-career researchers in data science and AI research areas, whilst also providing an opportunity to share research, build future collaborations and benefit from professional development activities.

Introduction to Research Data Management and Data Management Plans

December 2, 2022 | Germany

CIVICA Research Open Science is one of the flagship initiatives of CIVICA – The European University of the Social Sciences. CIVICA is an alliance of eight leading European higher education institutions in the Social Sciences. Our work is on the application of Open Science principles to Social Science research. Our Open Science framework invites and encourages our students, researchers, faculty and professional services staff to engage with the principles, processes and tools which help to explore, share, disseminate and maximise research collaboration and outputs in the Social Sciences. Our programme of events includes formal training sessions and an informal webinar series on all topics relevant to the application of Open Science to the Social Sciences. Please feel free to view and join our online CIVICA Research Open Social Science community on Whaller.

7th Global Conference on Data Science and Machine Learning

December 5-6, 2022 | UAE

We are delighted to announce the "7thGlobal Conference on Data Science and Machine Learning" which will be held on December 05-06, 2022; in Dubai, UAE The theme for the conference is "Discovering Technological Advancements in Data Science and Machine Learning" This conference, Data Science 2022, has been intended to benefit students, professors, exhibitors, tech professionals, scientists, data analysts, and entrepreneurs from all around the world.

2022 Conference on Artificial Intelligence, Machine Learning, and Business Analytics

December 16-17, 2022 | USA

Over five billion people worldwide actively engage with AI, Metaverse, bots, machine-to-machine connected solutions, 5G, AR/VR, cryptocurrency, and blockchain. This conference will explore how digital, social, and mobile technologies affect business models, customer behavior, management strategies, public policy, and social changes at large. Exemplar topics include:

Spotlight

Unplanned downtime is one of the most significant pain points for industrial manufacturers today, costing them an estimated $50 billion each year. The risk is even greater for process manufacturing, where a critical equipment failure could result in the loss of an entire batch, environmental hazards, or safety risks. The adoption of digital technologies, such as the industrial internet of things (IIoT), promises to mitigate these threats by forecasting equipment failures and catching faults before they lead to unscheduled shutdowns. However, in practice, several challenges arise when maintenance personnel and operations leaders work to implement an IIoT solution aimed at eliminating unplanned downtime.

resources