Dynatrace

NOVEMBER 5, 2023

The surge of the internet of things (IoT) has led to the exponential growth of applications and data processing at the edge. Furthermore, an accelerating digital-centric economy pushes us closer to the edge—processing client data as close to the originating source as possible.

Azure 130

Azure Artificial Intelligence Innovation Strategy 130

Dynatrace

JUNE 1, 2020

Go faster, deliver consistently better results, with less team friction that you ever thought possible, as Dynatrace combines a unified data platform with advanced analytics to provide a single source of truth for your Biz, Dev and Ops teams. User Experience and Business Analytics ery user journey and maximize business KPIs.

Monitoring 133

Monitoring Performance Social Media Artificial Intelligence 133

Dynatrace

JUNE 1, 2021

According to Gartner , “Application performance monitoring is a suite of monitoring software comprising digital experience monitoring (DEM), application discovery, tracing and diagnostics, and purpose-built artificial intelligence for IT operations.” User experience and business analytics.

Monitoring 148

Monitoring Mobile Social Media Infrastructure 148

VoltDB

JUNE 26, 2024

Increased efficiency Leveraging advanced technologies like automation, IoT, AI, and edge computing , intelligent manufacturing streamlines production processes and eliminates inefficiencies, leading to a more profitable operation.

IoT 52

IoT Analytics Artificial Intelligence Energy 52

VoltDB

OCTOBER 17, 2024

But real-time data is of little to no value without real-time decisioning – ie, the ability to make complex, intelligent decisions on that data. Indeed, real-time decisioning has become a critical capability for automotive manufacturers looking to stay competitive in the age of AI and IoT.

Automotive 52

Automotive IoT Energy Artificial Intelligence 52

VoltDB

OCTOBER 30, 2024

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. Predictive maintenance uses data analytics and AI to predict when equipment will need maintenance.

Automotive 52

Automotive IoT Artificial Intelligence Energy 52

ACM Sigarch

DECEMBER 6, 2018

smart cameras & analytics) to interactive/immersive environments and autonomous driving (e.g. As a result of these different types of usages, a number of interesting research challenges have emerged in the domain of visual computing and artificial intelligence (AI). interactive AR/VR, gaming and critical decision making).

Wireless 54

Wireless IoT Analytics Architecture 54

All Things Distributed

MAY 21, 2018

We already have an idea of how digitalization, and above all new technologies like machine learning, big-data analytics or IoT, will change companies' business models — and are already changing them on a wide scale. The workplace of the future. These new offerings are organized on platforms or networks, and less so in processes.

Artificial Intelligence 69

Artificial Intelligence Technology Technology IoT 69

Testsigma

FEBRUARY 12, 2021

The usage by advanced techniques such as RPA, Artificial Intelligence, machine learning and process mining is a hyper-automated application that improves employees and automates operations in a way which is considerably more efficient than conventional automation. IoT Test Automation. Hyperautomation. billion USD by 2025.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92