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As extreme weather events worsen, 7Analytics meshes AI and big data to predict flooding

TechCrunch

One of these companies is 7Analytics , a Norwegian startup founded back in 2020 by a team of data scientists and geologists to reduce the risks of flooding for construction and energy infrastructure companies. ” Startups to the rescue?

Big Data 233
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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. More time for development of new models.

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Lessons learned turning machine learning models into real products and services

O'Reilly Media - Data

Today, just 15% of enterprises are using machine learning, but double that number already have it on their roadmaps for the upcoming year. However, in talking with CEOs looking to implement machine learning in their organizations, there seems to be a common problem in moving machine learning from science to production.

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All about Machine Learning

Hacker Earth Developers Blog

In our third episode of Breaking 404 , we caught up with Srivatsan Ramanujam, Director of Software Engineering: Machine Learning, Salesforce to discuss everything about Machine Learning and the best practices for ML engineers to excel in their careers. Again, focus on Data Science and Machine Learning.

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Space-Based AI Shows the Promise of Big Data

Cloudera

Although researchers can recruit “citizen scientists” to help look at images through crowdsourcing ventures such as Zooniverse , astronomy is turning to artificial intelligence (AI) to find the right data as quickly as possible. This e-learning allows lots of folks to assist with the AI. GI, AI, and ML for all.

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Real estate CIOs drive deals with data

CIO

Its data specialists use Snowflake to craft the architecture and capture a range of data types, from MLS listings to financial transactions, as well as national housing reports and “exhaust data that spits off the consumer-facing website,” Ligon says. Data Management, Digital Transformation, Machine Learning

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8 Most in Demand Programming Languages of 2021

The Crazy Programmer

It is used in developing diverse applications across various domains like Telecom, Banking, Insurance and retail. It is frequently used in developing web applications, data science, machine learning, quality assurance, cyber security and devops. It is highly scalable and easy to learn.