Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Impedance mismatch between data scientists, data engineers and production engineers.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

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

Trigent

APRIL 16, 2021

The role of technology in the education industry has witnessed some monumental trendsetters, right from 2019, which saw the advent of Big Data , Internet of Things (IoT), and Machine Learning. Students are classified based on their learning ability and content designed to suit each learning style.

Artificial Inteligence 98

Artificial Inteligence Artificial Intelligence VR Technical Review 98

CTOvision

AUGUST 11, 2015

The Wall Street Journal examined this trend in their piece titled: Spy Software Gets a Second Life on Wall Street. Conceived as a company specializing in “machine learning,” a branch of computer science dealing with programs that can learn from data and make better predictions, Digital Reasoning struggled during its first couple of years.

Fractional CTO 133

Fractional CTO Journal Software Machine Learning 133

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). “Bot-like behavior can be exhibited by a program and by a human.

Malware 189

Malware Meeting Fractional CTO CTO 189

Marv's Smart Future

SEPTEMBER 21, 2020

The software component of complex SoS capabilities have now grown to become the dominant and controlling element of most DoD programs. More recently government led complex software LSI efforts have also failed to deliver needed capability on an acceptable cost, performance, and schedule, program plan.

Software 105

Software Artificial Inteligence Artificial Intelligence Weak Development Team 105

Confluent

FEBRUARY 13, 2019

Data evolution. The future of programming. Programming models have evolved over the years. Distributed object (RPC sync), service-oriented architecture (SOA), enterprise service bus (ESB), event-driven architecture (EDA), reactive programming to microservices and now FaaS have each built on the learnings of the previous.

Architecture 90

Architecture Programming Microservices Serverless 90