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 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

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. Evidence of PM success.

Healthcare 64

Healthcare Analytics Technical Review Software Review 64

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

JUNE 26, 2019

Kai’s main area of expertise lies within the fields of big data analytics, machine learning/deep learning, cloud/hybrid architectures, messaging, integration, microservices, streaming processing, Internet of Things, and blockchain.

Microservices 109

Microservices Software Review Technical Review Architecture 109

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. Digital services and subscriptions are provided to customers instead of just selling them products. Example: Severstal.

IoT 20

IoT Internet Weak Development Team Scalability 20