InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
-
Creating Customer-Centric Products Using Big Data
Kriti Sharma talks about how Barclays is solving some of the toughest big data challenges in financial services using scalable, open source technology.
/presentations/barclays-big-data/en/mediumimage/Kribig.JPG)
-
Solving Business Problems with Data Science
The panelists discuss some of the unique problems that only data science can solve, the pitfalls and the success rate of data science projects.
/presentations/panel-business-data-science/en/mediumimage/Panelbig.jpg)
-
Hybrid Artificial Intelligence
Manuel Ebert explores how hybrid AI works, its impact on businesses, using it in existing businesses, and what we can expect from hybrid artificial intelligence in the years to come.
/presentations/hybrid-artificial-intelligence/en/mediumimage/Manbig.JPG)
-
Server-Less Design Patterns for the Enterprise with AWS Lambda
Tim Wagner defines server-less computing, examines the key trends and innovative ideas behind the technology, and looks at design patterns for big data, event processing, and mobile using AWS Lambda.
/presentations/serverless-computing/en/mediumimage/Timbig.JPG)
-
Vowpal Wabbit, A Machine Learning System
John Langford discusses how to use Vowpal Wabbit in and as a machine learning system including architecture, unique capabilities, and applications, applied to personalized news recommendation.
/presentations/vowpal-wabbit/en/mediumimage/Johnbig.JPG)
-
Large-Scale Stream Processing with Apache Kafka
Neha Narkhede explains how Apache Kafka was designed to support capturing and processing distributed data streams by building up the basic primitives needed for a stream processing system.
/presentations/apache-kafka-streams/en/mediumimage/Nebig.JPG)
-
Online Data Mining and Machine Learning
Edo Liberty presents some basic concepts and an introduction to the subfields of machine learning and data mining.
/presentations/data-mining-machine-learning/en/mediumimage/Edobig.JPG)
-
Introducing Apache Ignite
Christos Erotocritou introduces Apache Ignite, discussing how it is used to solve some of the most demanding scalability and performance challenges. He covers typical use cases and examples.
/presentations/apache-ignite/en/mediumimage/Chbig.JPG)
-
Building a Predictive Intelligence Engine
Viral Bajaria explains a formula for reaching the B2B buyer early in the sales cycle by tying together billions of rows of customer data and overlaying predictive intelligence technology.
/presentations/predictive-intelligence-engine/en/mediumimage/Vibig.JPG)
-
The Future of Data Science
The panelists discuss some of the trends in data science today, the job of a data scientist, the tools and other related issues.
/presentations/panel-data-science/en/mediumimage/Panelbig.jpg)
-
APIs, Spreadsheets & Drinking Fountains: Using Open Data in Real Life
Shelby Switzer discusses success stories and failures of using the public data provided by governments, along with techniques for making such data usable.
/presentations/government-open-data-api/en/mediumimage/Shebig.JPG)
-
Detecting Anomalies in Streaming Data, Evaluating Algorithms for Real-World Use
Alexander Lavin introduces the Numenta Anomaly Benchmark (NAB), a framework for evaluating anomaly detection algorithms on streaming data.
/presentations/numenta-anomaly-benchmark/en/mediumimage/Albig.JPG)