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.

Journal 14

Journal VR Blockchain IoT 14

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.

Healthcare 64

Healthcare Analytics Technical Review Software Review 64

Confluent

FEBRUARY 6, 2019

And you can use it in any environment: in the cloud, in on-prem datacenters or at the edges, where IoT devices are. Say you wanted to build one integration pipeline from MQTT to Kafka with KSQL for data preprocessing, and use Kafka Connect for data ingestion into HDFS, AWS S3 or Google Cloud Storage, where you do the model training.

Machine Learning 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

Confluent

SEPTEMBER 26, 2019

Prior to Rockset, Shruti led product management for Oracle Cloud, with a focus on AI, IoT, and blockchain. 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.

Analytics 20

Analytics Serverless Blockchain Microservices 20

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 .

Technical Review 61

Technical Review Systems Review Software Review Artificial Inteligence 61

Confluent

OCTOBER 10, 2019

The Internet of Things (IoT) is getting more and more traction as valuable use cases come to light. A key challenge, however, is integrating devices and machines to process the data in real time and at scale. Confluent MQTT Proxy , which ingests data from IoT devices without needing a MQTT broker.

IoT 20

IoT Internet Weak Development Team Scalability 20