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The Industrial Cloud
Today, most IoT analytics operations occur in the cloud. This is partly driven by supplier offerings and partly because the cloud offers a centralized location for large amounts of affordable storage and computing power. There are, however, a growing number of instances in which it makes more sense to perform analytics closer to the “thing” or activity that is generating or collecting data – equipment deployed at customer sites (generators, trains, wind turbines). This is particularly true in industrial and manufacturing environments, which are familiar with the challenges of managing massive amounts of generated data (typically by parking it in a data lake or the like) and general digital product development (e.g., CAD models), but lag when it comes to the virtualization of business-critical infrastructure.Continue
Reports & Data
Industrial companies have used geometric topology optimization for several years now and are using it more because they have increased the use cases for Additive Manufacturing (AM). Topology optimization involves changing the geometric shape of a product given a set of constraints to improve its performance. Generative design takes this up a step by creating, or generating, the geometric shapes from nothing rather than changing the existing shapes.
In December 2017, ABI Research published the second iteration of the Industrial Internet Connectivity Tracker. The Industrial Internet Connectivity Tracker provides highly segmented data and forecasts through 2026 to support Industrial Internet of Things (IIoT) business initiatives and go-to-market plans. It includes three major application segments: Industrial Smart Glasses, Robotics & PLCs and Other Equipment Monitoring. Industrial Smart Glasses are augmented reality (AR) glasses used in manufacturing applications. Robotics & PLCs refers to industrial connected robots and connected programmable logic controllers, and other equipment monitoring covers connections for condition-based monitoring of stationary industrial equipment ranging from weight scales to pumps and tanks, mining equipment, batteries and elevators.
Every client is assigned a key member of our research team, based on their organization’s needs and goals. And, an unlimited number of Analyst Inquiry calls are available to answer your specific questions.
ABI Research has identified the most important Smart Manufacturing technologies, solutions and strategies for the automotive sector. In many respects, this industry leads the way in adopting innovations within the manufacturing sector. This webinar will provide a framework and strategic guidance for Smart Manufacturing vendors to increase adoption rates in the automotive industry.
Our webinar will also address the following questions:
- What technologies will most impact the automotive industry?
- How do Smart Manufacturing technologies impact competition in the automotive sector today?
- What use cases drive adoption?
- How will smart manufacturing technology transform the automotive industry during the next 5-10 years?
- Which vendors currently lead the way in this industry?
Auto Makers Lead Smart Manufacturing Advances with close to 50% Automation
Short-range Wireless Solutions Require New Approaches in Smart Manufacturing Environments or Risk Facing Limited Adoption
ABI Research’s November 13th Webinar Explores How Automotive Vendors Can Adapt to Smart Manufacturing
Full Speed Ahead for Artificial Intelligence, Robotics, and Digital Factory Markets
Balancing Edge and Cloud Computing Will Unlock the Potential of Digital Factories