AI Inititiaves
Landing AI
Landing AI’s AI-powered SaaS products solve pain points and automate legacy processes in complex industries like manufacturing. Landing AI’s first product, Landing Light, is an automated visual inspection tool for detecting defects on manufacturing lines
Many companies are figuring out how to use AI, but this is not easy. The technology is still complex, and few teams understand AI well enough to implement it effectively. Outside the IT industry, almost no companies have enough access to AI talent.
Further, just as using IT to transform a traditional company requires more than building a website, using AI to transform a company requires much more than training a few machine learning models. The strategy of integrating AI — everything from data acquisition, to organizational structure design, to figuring out how to prioritize AI projects — is as complex as the technology, and good AI strategists are even rarer than good AI technologists.
AI technology is well suited to addressing the challenges facing manufacturing, such as variable quality and yield, inflexible production line design, inability to manage capacity, and rising production costs. AI can help address these issues, and improve quality control (see our video demo), shorten design cycles, remove supply-chain bottlenecks, reduce materials and energy waste, and improve production yields.
Intel
OpenVino
nGraph
lines of code for the core ML algorithm are far outstripped by the lines of code for the surrounding requirements of serving infrastructure, monitoring, analysis tools, and process and machine resource management, among other needed components. This leads to a large technical gap if the organization itself needs to create custom code to satisfy these missing components.
ctual machine learning model development is a small part of the entire machine learning development cycle. Surrounding serving infrastructure, monitoring, tools and processes are needed components that are essential for a successful machine learning solution.
organizations may want to provide machine learning operations with the flexibility to deploy to both cloud and on-premise in a reproducible manner.
Training
Coursera
AI Academy
Budget
Project or Initiatives
An executive’s guide to AI