[SPONSORED POST] The essential first step for manufacturers is to consider how much data the enterprise has at its disposal. Most manufacturers collect vast troves of process data but typically use it only for tracking purposes, not as a basis for improving operations. The challenge is for these players to invest in the systems and skillsets that will allow them to enhance their use of existing process statistics. This Guide, “insideAI News Guide to Computer Aided Engineering,” sponsored by Dell Technologies, will walk through some of the ways to expand the scope of analytics to further increase business value.
How AI/ML Can Improve Manufacturing Operations
In this special guest feature, Stuart Gillen, Senior Manager at Kalypso, offers a few ways manufacturing organizations can leverage predictive maintenance to identify potential issues, reduce the occurrence and length of unplanned downtime, and get the most value from assets and budgets.
Incident prevention with Big Data in Manufacturing
In this special guest feature, Edwin Elmendorp, Information Architect, Kinsmen Group, points out that many opportunities exist for using BIG data technologies in manufacturing, while some are still in a research phase, others are usable products that offer cost beneficial approached available for small and large organizations by using modern platforms.
Procurement Turns to AI to Navigate Supply Chain Upheaval
In this special guest feature, Ophelia Otto, scoutbee Industry Relations Lead, discusses AI technology can bring a business operation like procurement from the stone age to the modern age by allowing teams to rely on automation rather than placing all bets on little black books and outdated spreadsheets.
Embracing and Leveraging the Data-Driven Pressure in Industry 4.0
In this special guest feature, John Joseph, CEO & Co-founder of Datanomix, explores why real-time actionable manufacturing data is needed for the entire organization to determine the true quote to cost value, how leveraging data analytics that can be learned, consumed, and responded to in seconds, not minutes or hours will set factories ahead – especially post COVID-19, and how to leverage data to make smarter business decisions and better quote to cash estimates.
Challenges to Consider While Implementing Big Data Strategy in Manufacturing
In this special guest feature, Piyush Jain, Founder and CEO of Simpalm, discusses the many ways in which Big Data has positively influenced the manufacturing industry, along with the major challenges faced in implementation.
Circonus Launches Machine Data Intelligence Platform Built to Harness the Exploding Volume of Data in a World with a Trillion Connected Computers
Circonus, the machine data intelligence expert, announced the launch and availability of its Circonus Platform, the machine data intelligence platform built to provide enterprises with the ability to handle the rapidly increasing data volume and frequency seen in today’s global IT infrastructure and IoT deployments. With the Circonus Platform, enterprises can collect, store and analyze all of their machine data – without limits – ushering in a new era of extraordinary business insight and intelligence.
Manufacturing Industry Predicted to Benefit Most from Artificial Intelligence Technology
It’s widely agreed that the implementation of artificial intelligence is vital for future growth, but just how much impact can AI have across industries? RS Components has analyzed data from Mckinsey’s Global Institute to see how much revenue growth AI innovative companies can expect to see when compared to businesses who fail to invest in the technology. The full findings are found in a report, “AI Industry Boost – Which Industries will Benefit the Most?”
Machine Learning has Significant Potential for the Manufacturing Sector
In this contributed article, Gregory Miller, a writer with DO Supply, explores the ways in which machine learning is being applied in the modern industrial world, focusing on manufacturing. To date, manufacturers have been able to introduce AI into three aspects of their business: operational procedures, production, and post-production.
An Enterprise AI Platform Created to Make Industry 4.0 a Reality
A new complete, full stack solution was introduced to help manufacturing businesses transform their operations to reduce waste, material defects and the overall energy required to create their products. The platform accelerates manufacturing and supply chain digital transformation projects and makes Industry 4.0 a reality. Dell Ventures accelerated the production of this multi-tier, industrial-grade edge-to-cloud-to-edge solution by leading Noodle.ai’s $35 million Series B round last year, joined by previous investor TPG Growth.