Cloudera

SEPTEMBER 22, 2022

To me, this means that by applying more data, analytics, and machine learning to reduce manual efforts helps you work smarter. IoT examples such as telematics-based travel or car insurance enable a very personalized insurance policy (more on this in a prior post ). Step two: expand machine learning and AI.

Analytics 102

Analytics Data Insurance eBook 102

Cloudera

APRIL 13, 2021

That’s because CDP has made it possible for them to modernize their legacy data platforms and extend machine learning (ML) and real-time analytics to public cloud, all while gaining cross-functional collaboration across the enterprise. . Use case #4: An analytics provider for life sciences processes data 72x faster.

Enterprise 78

Enterprise Cloud eBook Data 78

Tenable

JULY 24, 2019

Preventing attacks against IoT and operational technology (OT) infrastructure is a top priority for 2019. Preventing attacks against IoT and OT infrastructure is a top priority for 2019. Learn more: Download the webinar Cybersecurity in the Public Sector — 5 Insights You Need to Know.

Organization 67

Organization IoT Survey eBook 67

Protera

SEPTEMBER 25, 2018

New tools support better analytics, IoT, integration, machine learning, artificial intelligence and big data. Integration has transformed this situation for the SAP public cloud, enabling customers to turn new cloud services and applications into an invaluable part of their own infrastructure. Download it Now!

Cloud 58

Cloud Off-The-Shelf Artificial Inteligence Serverless 58

Kaseya

DECEMBER 27, 2023

The definition of endpoints, in this case, extends to all devices, such as laptops, mobile phones, tablets, and even servers and IoT devices. Endpoints are the outermost perimeter of a company’s IT infrastructure, the first line of defense and the prime security targets, which is why they need constant monitoring and protection.

Disaster Recovery 52

Disaster Recovery Malware Policies Backup 52