Altexsoft

AUGUST 31, 2020

Collecting data and making sense of it to predict health conditions of individuals is a primary task of healthcare analytics. To learn general terms of data processing, take a look at our business intelligence article. Technologies such as machine learning are widely applied to automate medical data analysis around the globe.

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Healthcare Analytics Examples Data 72

Marv's Smart Future

SEPTEMBER 21, 2020

This is evidenced by terms like software defined radio, big data analytics, autonomous flight control, artificial intelligence/machine learning, and cloud computing to include Infrastructure as a Service (IaaS) , Platform as a Service (PaaS) , and Infrastructure as Code (IaC).

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Software Artificial Inteligence Artificial Intelligence Weak Development Team 105

Altexsoft

OCTOBER 22, 2021

In this post, we’ll explain what deep learning is, how it works, how it’s different from traditional machine learning, and what areas it can be applied within. Get ready because you’re about to go deep into deep learning. What is deep learning? Artificial intelligence vs machine learning vs deep learning.

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Artificial Inteligence Artificial Intelligence .Net Machine Learning 52

CIO

OCTOBER 18, 2023

In September 2021, Fresenius set out to use machine learning and cloud computing to develop a model that could predict IDH 15 to 75 minutes in advance, enabling personalized care of patients with proactive intervention at the point of care. CIO 100, Digital Transformation, Healthcare Industry, Predictive Analytics

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Agile Engine

OCTOBER 24, 2019

Our portfolio includes projects in bleeding-edge industries like aerospace, blockchain, IoT, AR, VR, and machine learning. This year’s 50 on Fire mentions big names like Lyft, and pioneers like Aperiomics, the healthcare startup that is bringing big data to DNA testing. About AgileEngine.

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Journal VR Blockchain IoT 14

Altexsoft

JULY 29, 2022

The biggest star of the Big Data world, Hadoop was named after a yellow stuffed elephant that belonged to the 2-year son of computer scientist Doug Cutting. Source: The Wall Street Journal. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics.

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Big Data Data Google Cloud Storage 59

The Cipher Brief

JUNE 2, 2021

Machine learning and natural language processing systems are required to do this at scale: the Chinese Knowledge Resource Database, for example, has over 71 million academic journals. Secondly, looking for more sophisticated patterns indicative of suspicious activity, leveraging approaches such as machine learning.

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Organization Journal Government Artificial Inteligence 35

Altexsoft

SEPTEMBER 23, 2020

It exists on the pages of peer-reviewed medical journals and research papers. There have been advances in developing machine learning algorithms for diagnostics. Transparent data collection and sharing. Surveys show that retail customers don’t mind sharing data in exchange for benefits like personalization.

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Healthcare Analytics Technical Review Software Review 64

d2iq

JANUARY 23, 2023

We have entered the next phase of the digital revolution in which the data center has stretched to the edge of the network and where myriad Internet of Things (IoT) devices gather and process data with the aid of artificial intelligence (AI).As Every day, huge amounts of data are generated, streamed, and moved in cloud environments.

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Artificial Inteligence Artificial Intelligence IoT Data Center 69

Confluent

SEPTEMBER 26, 2019

Kai’s main area of expertise lies within the fields of big data analytics, machine learning, integration, microservices, Internet of Things, stream processing, and blockchain.

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Analytics Serverless Blockchain Microservices 21

O'Reilly Media - Ideas

JANUARY 18, 2022

Human consciousness may be a stretch, but causation is about to cause a revolution in how we use data. In an article in MIT Technology Review , Jeannette Wing says that “Causality…is the next frontier of AI and machine learning.”. Anderson’s thesis, although dressed up in the language of “big data,” isn’t novel.

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Insurance Testing Groups Research 144

CTOvision

JULY 19, 2016

Empowering Growth Hackers with Big Data. Empowering Growth Hackers with Big DataCIOGrowth hacking brings together the ideas of hacking big data and driving business growth. Microsoft and Boeing team up to streamline aviation through big data and AI . Wall Street Journal .

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Technical Review Systems Review Software Review Artificial Inteligence 61

Confluent

JUNE 26, 2019

Kai’s main area of expertise lies within the fields of big data analytics, machine learning/deep learning, cloud/hybrid architectures, messaging, integration, microservices, streaming processing, Internet of Things, and blockchain.

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Microservices Software Review Technical Review Architecture 109

Altexsoft

JANUARY 24, 2020

Business Analytics (MS) lays right at the intersection of business, technology, and data. The ten-month program educates business data scientists by covering such fields of knowledge as data visualization, machine learning, operating big data, social network analytics, business analytics, and more.

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Education Analytics Recruiting Programming 99

Confluent

FEBRUARY 13, 2019

Scaling actors is achieved by increasing the number of actors—effectively increasing the processing capability of the application, not the data. Persistent actors will store their set of events to a journal (log). Akka Streams then changed tact as streaming became the core mechanism to drive processors in a more data-centric manner.

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Architecture Programming Microservices Serverless 90

Confluent

OCTOBER 10, 2019

Machine learning plays a huge role in many of these use cases, regardless of the industry, and you can read Using Apache Kafka to Drive Cutting-Edge Machine Learning for more insights. Digital services and subscriptions are provided to customers instead of just selling them products. Example: Severstal.

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IoT Internet Weak Development Team Scalability 20

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

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The Parallax

APRIL 17, 2019

But he found a compelling reason to dive into the fraught world of online journalism: He wanted to stop fake news. How Facebook fights fake news with machine learning and human insights. CrowdStrike CEO on political infosec lessons learned (Q&A). Sometimes, the newspapers improve,” he says; often, they do not.

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Malware Meeting Fractional CTO CTO 189

CTOvision

JANUARY 23, 2015

We humans, we of soft tissue, need all the help we can get to preside over those new and accelerating forces of technological change.

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CTOvision

JUNE 15, 2016

Need a primer on marketing terms for Machine Learning? You may want to check this out: Machine Learning for Marketing: Cheat Sheet. Machine Learning for Marketing: Cheat Sheet. US Accuses Chinese Software Developer of Stealing Source Code - Wall Street Journal. Charles Hall.

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