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Boehringer Ingelheim: Healthy data creates a better world

Accenture and Siemens: Tackling industrial machinery challenges through Intelligent Service and Asset Lifecycle (ISAL)

📅 Date:

✍️ Authors: Till Habel, Torsten Beste, Christopher Pennington

🔖 Topics: Partnership

🏢 Organizations: Accenture, Siemens

The industrial machinery industry is being transformed by global supply chain disruptions, changes to equipment practices and a push for greater sustainability. Executives seeking to adapt to the shifting landscape need reliable partners and world-class solutions.

Accenture and Siemens can partner with industrial machinery manufacturers to help manage this period of transformation. This post discusses trends in the sector, the Intelligent Service and Asset Lifecycle (ISAL) solution and the role Accenture and Siemens play to support a new direction for industrial machinery companies.

Read more at Siemens Software Blogs

Mars, Accenture to Develop ‘Factory of the Future’

📅 Date:

✍️ Author: Scarlett Evans

🏢 Organizations: Mars, Accenture

Mars is collaborating with Accenture to digitize its operations using artificial intelligence (AI), cloud, edge technology and digital twins. The companies have been working in partnership since 2020, trialing digital twin solutions for Mars’ manufacturing operations. The tech will allow Mars to simulate and test planned changes before committing resources to them. The project seeks to target the company’s overall emissions, as well as water use and cost of operations, with digital twin tech hoped to enable predictive maintenance and pre-empt other potential problems to minimize cost (and resource) waste.

Read more at IoT World Today

Accenture to Acquire Eclipse Automation to Help Clients Build Factories of the Future

📅 Date:

🏢 Organizations: Accenture

Accenture (NYSE: ACN) has agreed to acquire Eclipse Automation, a provider of customized manufacturing automation and robotics solutions headquartered in Cambridge, Ontario, Canada. The acquisition will allow Accenture to offer automated production lines that leverage the cloud, data and artificial intelligence (AI), making factories and plants smarter and thus, more productive, sustainable and safe. Financial terms were not disclosed.

Eclipse Automation creates automated manufacturing systems to produce sophisticated products for life sciences, industrial equipment, automotive, energy and consumer goods companies. Its technologists and engineers design, build, integrate and service advanced automation solutions for producing components and devices such as electric vehicle batteries and wearable blood-glucose monitors. Eclipse Automation’s solutions include automation control systems, production machines and robots, with critical customized tooling manufactured in-house.

Read more at Accenture Newsroom

Accenture x Cosmo Tech: Demo Real-time & optimized decision making

Semiconductor growth through as-a-service models

📅 Date:

🔖 Topics: XaaS

🏭 Vertical: Semiconductor

🏢 Organizations: Accenture

This report examines As-a-Service (AaS) as an increasingly relevant competitive growth model for the semiconductor industry. Originally successful in the software realm, AaS business models are poised to help semiconductor companies fuel growth, boost revenue, innovate faster, and deepen relationships with customers. When planned and implemented correctly, AaS can substantially increase shareholder value and improve predictability of revenue. However, if executed poorly, it can negatively impact a company’s bottom line.

Read more at Accenture Reports

How the USPS Is Finding Lost Packages More Quickly Using AI Technology from Nvidia

📅 Date:

✍️ Author: Todd R. Weiss

🔖 Topics: AI, machine vision

🏢 Organizations: USPS, NVIDIA, Accenture

In one of its latest technology innovations, the USPS got AI help from Nvidia to fix a problem that has long confounded existing processes – how to better track packages that get lost within the USPS system so they can be found in hours instead of in several days. In the past, it took eight to 10 people several days to locate and recover lost packages within USPS facilities. Now it is done by one or two people in a couple hours using AI.

Read more at EnterpriseAI