Vision application development is a demanding discipline requiring not only knowledge of image processing techniques, but also programming skill and extensive knowledge in using software development tools. Developing on an embedded system further challenges this skillset not only due to platforms’ focus on efficiency (computes/Watt), but also learning how a particular edge device interfaces with other systems in a solution. As Artificial Intelligence and machine learning innovate the approach to vision-based solutions, so too must manufacturers of embedded vision systems innovate on their development toolset they provide to users.
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Dbmaestro
In the next installation of the DBmaestro Academy, Brady Byrd and Chris Lucca dived deep into the four tenets of database DevOps:Defining and enforcing the process for making changes,Environment configuration management,Version everything in source control,Establish DB development policies for everyone.
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The past year saw both public and private sectors embracing digital transformation. The power of AI and the change it can bring about has indeed been a boon in these unprecedented times. Leading enterprises across industries quickly understood the need for change and adopted AI-enabled solutions to drive better and faster decision-making. This trend continued across sectors, from manufacturing to retail.
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The faster a company can identify and meet the needs of its customers, the more successful it will be at retaining and growing its customer base. Most big service-oriented companies have an interactive voice response (IVR) system like NICE, Genesys or Twilio, but increased demand for omnichannel self-service and faster fulfillment have driven companies to add Conversational AI to their customer support technology stack.
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