When data capture tools are equipped with computer vision technologies and machine learning capabilities they can adapt – and excel – in any scenario, be it low-light conditions or damaged barcodes ...
It can be tough to manage data manually, and doing so can sometimes lead to errors or inefficiencies. Spreadsheets can get overly complex, and data quality can suffer. This has become a large enough ...
Zurich, July 28, 2022 – Scandit, the leader in smart data capture, today announced that its Barcode Scanner SDK including MatrixScan is now available in Pega Marketplace, where Pega clients can ...
Learn what change data capture is, why it exists and how to use it to maintain a historical record of changes to your database. Image: garrykillian/Adobe Stock Change data capture is a data management ...
Marathon runners and telecom carriers know the last mile of the journey is the hardest—and the same is true for postal and logistics operators, particularly in 2022. The pandemic transformed the home ...
Introduction Many neonatal deaths are avoidable using existing low-cost evidence-based interventions. This study evaluated ...
70% of logistics operations experience barcode readability issues weekly due to poor label quality, inconsistent labeling or outdated scanning systems 43% of companies seek increased transparency in ...
Artificial intelligence (AI) and machine learning are powering the next chapter in content capture. Based on compelling algorithms, AI-enabled content capture tools automate the extraction and ...
Visual data captured on construction sites is only valuable if it’s timely and provides meaningful and accurate insight into what’s happening on the project. Receiving hundreds of images several days ...
In a non-deterministic, AI-driven architecture, if your security strategy is trying to “catch up,” you’ve already lost.
The logistics industry is known for its complex and data-intensive nature. Tracking the exact whereabouts of a product from the warehouse to a customer’s doorstep, for example, entails frequent data ...
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