VoltDB

OCTOBER 30, 2024

Industries like automotive manufacturing now rely on preventative maintenance to meet productivity SLAs. Predictive maintenance: While closely related, predictive maintenance is more advanced, relying on data analytics to predict when a component might fail. It is proactive but doesn’t use advanced data analytics.

Automotive 52

Automotive IoT Artificial Intelligence Energy 52

VoltDB

NOVEMBER 20, 2024

The Need for Real-Time Analytics and Automation With increasing complexity in manufacturing operations, real-time decision-making is essential. With predictive analytics at the edge, machines can be monitored continuously for early signs of wear, allowing for timely maintenance without interrupting production.

IoT 52

IoT Energy Latency Automotive 52

All Things Distributed

MARCH 13, 2017

Job openings for machine learning scientists, data analytics experts, IT security experts or developers are already difficult to fill, and the demand for this knowledge will increase significantly in the next few years as customers show their demand for digital engagements. The market for digital skills is "hot", in the U.S.

Social Media 71

Social Media Retail Automotive Innovation 71

Abhishek Tiwari

NOVEMBER 3, 2018

Most of the CMS vendors dodge questions of evolution by talking about incremental innovation primarily focused on customer experience (CX) such as analytics and personalisation. Any organisation pursuing microservices strategy will find hard to fit a traditional CMS in their ecosystem. At the core, a traditional CMS is a monolith.

Systems 63

Systems Cache Website Network 63

VoltDB

OCTOBER 17, 2024

The automotive industry is more reliant than ever on real-time data – and not just the manufacturers but also the dealers. Some industry experts are even seeing the automotive industry’s use of real-time data as a pioneering chapter for real-time data in general that will soon spread to other industries.

Automotive 52

Automotive IoT Energy Artificial Intelligence 52

Adrian Cockcroft

NOVEMBER 18, 2024

SUS205 | Integrating generative AI effectively into sustainability strategies Generative AI can materially support sustainability programs by simplifying the process of analyzing environmental data to simulating new designs to evaluating product lifecycles in a fraction of the time.

AWS 98

AWS Energy Lambda Government 98