Business Analytics Compliance Enterprise IoT 
CIO
OCTOBER 17, 2023
The Zscaler Zero Trust Exchange provides a holistic approach to securing users, workloads, IoT/OT devices, and B2B partners. A large enterprise with a hybrid network requires modern technology to secure it. These technologies are essential for maintaining regulatory compliance when handling sensitive personal data in the cloud.
Gorilla Logic
MAY 19, 2021
. • Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Create value from the Internet of Things (IoT) and connected enterprise. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more.
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Datavail
APRIL 6, 2021
Your processes are standardized across the enterprise or can be changed to fit the application. An off-the-shelf product straight from the vendor can fit your business requirements. Oracle PaaS includes functionality for application development, content management, and business analytics, among others. Read This Next.
Trigent
AUGUST 23, 2023
In the wake of hyper-digitization, manufacturers are leveraging advanced technologies like RPA, IoT, and AI to make their processes more efficient. The requirement of each manufacturing business is different based on industry & target customers, but many of their back-end processes are similar.
Kaseya
MAY 13, 2021
Common cloud functionalities offered by AWS that can help businesses scale and grow include: Networking and content delivery Analytics Migration Database storage Compute power Developer tools Security, identity and compliance Artificial intelligence Customer engagement Internet of Things Desktop and app streaming.
Cloudera
MAY 12, 2021
Use cases could include but are not limited to: predictive maintenance, log data pipeline optimization, connected vehicles, industrial IoT, fraud detection, patient monitoring, network monitoring, and more. DATA FOR ENTERPRISE AI. PEOPLE FIRST. A new award category for 2021.
Datavail
SEPTEMBER 17, 2019
Some common use cases, or “giant ideas” which can be mobilized quickly with a MongoDB Atlas deployment include: Gaining visibility across enterprise datasets in multiple cloud environments. Turning fast-moving internet of things (IoT) data streams into insight. Unusual or strict compliance requirements.
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