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. It requires investigative techniques, combined with advanced analytical tooling, to identify the systems which pose risk. SPONSORSHIP.

Organization 35

Organization Journal Government Artificial Inteligence 35

Confluent

SEPTEMBER 26, 2019

Leveraging Rockset , a scalable SQL search and analytics engine based on RocksDB , and in conjunction with BI and analytics tools, we’ll examine a solution that performs interactive, real-time analytics on top of Apache Kafka and also show a live monitoring dashboard example with Redash. Overview of Rockset technology.

Analytics 21

Analytics Serverless Blockchain Microservices 21

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.

Big Data 59

Big Data Data Google Cloud Storage 59

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.

Artificial Inteligence 69

Artificial Inteligence Artificial Intelligence IoT Data Center 69

Altexsoft

JANUARY 24, 2020

For now, it offers over 20 Majors and Degree programs, such as: Analytics ; Business Administration – Management of Technology (MBA) ; Computational Media (BS ; Computational Science and Engineering (MS) ; Computer Engineering (BS) ; Computer Science (BS) ; Cybersecurity (MS) ; and many more.

Education 99

Education Analytics Recruiting Programming 99

Confluent

JUNE 26, 2019

Consumers can process data at their own speed (batch or real time). Consumers can reprocess data again and again (e.g., to train different analytic models or to recover from errors or data corruption). New consumers can be added at any time, even if they need to start consuming events from an earlier timestamp.

Microservices 109

Microservices Software Review Technical Review Architecture 109

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.

Insurance 145

Insurance Testing Groups Research 145

Confluent

FEBRUARY 13, 2019

Core function: Building the event streaming model for item bid activity and analytics. Data evolution. 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).

Architecture 90

Architecture Programming Microservices Serverless 90

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.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8

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. MQTT Proxy for data ingestion without an MQTT broker. Example: Severstal.

IoT 20

IoT Internet Weak Development Team Scalability 20

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.

Malware 189

Malware Meeting Fractional CTO CTO 189

CTOvision

JANUARY 23, 2015

I worked at the Pentagon in the summer of 1985, having left my own state-of-the-art PC at home in Stanford, but my assigned “analytical tool” was a typewriter. That miss was understandable in the developing world and yet indefensible in the United States, particularly at the federal level.

VR 122

VR 3D Government Virtualization 122