Artificial Intelligence Data Engineering IoT Study 
Apiumhub
JUNE 22, 2021
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.
ParkMyCloud
MAY 29, 2019
You may find of interest, cloud computing careers relatable to Cloud Consultants include Cloud Security Engineers, Cloud Operations Engineers, and Cloud Infrastructure Engineers. Business Intelligence Analyst. BI Analyst can also be described as BI Developers, BI Managers, and Big Data Engineer or Data Scientist.
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Apiumhub
APRIL 5, 2022
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.
CTOvision
FEBRUARY 23, 2017
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.
Altexsoft
DECEMBER 9, 2020
Some studies show that about half of Americans make decisions based on their “gut-feeling”. Moreover, the MicroStrategy Global Analytics Study reports that access to data is extremely limited, taking 60 percent of employees hours or even days to get the information they need. “War is 90 percent information.”. Napoleon Bonaparte.
Hu's Place - HitachiVantara
JANUARY 3, 2019
” 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.
Altexsoft
JULY 23, 2020
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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