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Data Innovation Summit with Gema Parreño – lead data scientist at Apiumhub

Apiumhub

The programme is refreshed with great new speakers and case studies from some of the most innovative companies around the world. Data Innovation Summit topics. The programme consists of seven stages including the Data Octagon programme, Data After Dark show, TIP session blocks, networking activities, and much more.

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Register With 20% Discount Code for San Jose Strata Hadoop World

CTOvision

This is the place to dive deep into the latest on Big Data, Analytics, Artificial Intelligence, IoT, and the massive cybersecurity issues in all those topics. You'll dissect case studies, develop new skills through in-depth tutorials, share emerging best practices in data science, and imagine the future.

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Five Trends for 2019

Hu's Place - HitachiVantara

” Deployments of large data hubs have only resulted in more data silos that are not easily understood, related, or shared. In order to utilize the wealth of data that they already have, companies will be looking for solutions that will give comprehensive access to data from many sources.

Trends 86
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MLOps: Methods and Tools of DevOps for Machine Learning

Altexsoft

When speaking of machine learning, we typically discuss data preparation or model building. Living in the shadow, this stage, according to the recent study , eats up 25 percent of data scientists time. MLOps lies at the confluence of ML, data engineering, and DevOps. Data validation. Data preparation.

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Supply Chain Control Tower: Enhancing Visibility and Resilience

Altexsoft

“Control towers are the artificial intelligence (AI) of supply chain. The readings from IoT sensors and other connected devices (e.g., External data sources To deliver comprehensive visibility and make accurate forecasts, your SCCT must collect data from external sources. Data siloes.

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Predictive analytics helps Fresenius anticipate dialysis complications

CIO

German healthcare company Fresenius Medical Care, which specializes in providing kidney dialysis services, is using a combination of near real-time IoT data and clinical data to predict one of the most common complications of the procedure.

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Apiumhub becomes Data Innovation Summit Partner

Apiumhub

With over 1000 practical case studies presented on the past 6 editions and with new geo events in the MEA and the APAC region, the event is a worldwide movement, ushering the community of data, analytics and AI practitioners across functions, companies, industries, sectors, countries and regions to collaborate, benchmark, share and innovate.