Apiumhub

APRIL 1, 2021

Learning data science through books will help you get a holistic view of Data Science as data science is not just about computing, it also includes mathematics, probability, statistics, programming, machine learning, and much more. Top Data science books you should definitely read.

Artificial Inteligence 52

Artificial Inteligence Data Handbook Machine Learning 52

Kentik

JANUARY 19, 2018

Oil company Shell talked about the success of its predictive analytics. Oil company Shell is seeing big benefits from advanced analytics (ZDNet) “Shell’s upstream operations team uses predictive analytics capabilities to optimize the ordering, storage, and utilization of pieces of spare part inventory for onshore and offshore oil rigs.

Analytics 40

Analytics Network Company VOIP 40

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

Capgemini

NOVEMBER 14, 2022

And they also need to trust that the data is current, relevant, and available. Moving a business forward requires fast access to good data for more applications. But that turns IT and analytics teams into the bottleneck. Those serving themselves need not only access to data, but also to the data about the data (metadata).

Agile 52

Agile Technical Review Systems Review Artificial Intelligence 52

Altexsoft

SEPTEMBER 23, 2020

You don’t see it screaming at you from headlines, startups are not using it on the landing pages, and it’s slowly climbing up Garner’s Hype Cycle for Healthcare Providers , overpassed by medical IoT, Blockchain, and analytics. It exists on the pages of peer-reviewed medical journals and research papers. Data analytics infrastructure.

Healthcare 64

Healthcare Analytics Technical Review Software Review 64

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.

Organization 35

Organization Journal Government Artificial Inteligence 35

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

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

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

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

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 144

Insurance Testing Groups Research 144

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

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

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. In the early 2000s, I worked at an intelligence agency trying to fight a war against global terror networks when most analysts weren’t allowed to use the World Wide Web at work.

VR 122

VR 3D Government Virtualization 122