OnLogic Partners With AI Development Specialists for Industrial AI Adoption

Aiming to provide businesses with the tools necessary to turn AI into real business value, edge computing company OnLogic has partnered with AI specialists Big Vision , Data Monsters and Mosaic Data Science to lend their experience to the company’s holistic industrial AI consulting and implementation services.

OnLogic AI experts work closely with customers to assess their business requirements and determine how to best leverage AI technologies. By partnering with other AI implementation specialists, OnLogic can provide customers with resources and solutions specifically tailored to their needs.

“Implementing effective industrial AI requires assessing all aspects of the deployment scenario, having clearly defined goals and then choosing the hardware, software, data architecture and AI model that will be most effective for a particular business,” says Michael Kleiner, VP of Edge AI Solutions at OnLogic. “It’s crucial to have the right partners onboard with the experience to overcome the inevitable challenges that present themselves during development and deployment.”

OnLogic AI advisors can assist users with leveraging machine learning, computer vision and conversational AI to improve the quality, efficiency, velocity and safety of their operations. Regardless of where a particular business is on their AI journey, OnLogic says it works to identify and implement the best application of AI for their desired outcomes, specifically tailored to their operations. Together with its partners, the OnLogic AI team can help customers with a full suite of AI deployment elements, including:

• Identification of value-added AI use cases
• Assessment and prioritization of AI implementations
• Data architecture
• Data collection, preparation and annotation
• AI model selection and training
• Edge computing architecture and hardware
• Solution customization
• Monitoring and maintenance.

According to OnLogic, its hardware can be used for everything from light AI inferencing to full-scale model building and training, due to a variety of available CPU options, internal GPU capabilities, discrete GPU offerings and specialized AI accelerators. By encouraging users to implement AI acceleration on their range of edge hardware, OnLogic intends to help unlock the potential to deploy AI computing power in remote locations and challenging environmental conditions. AI computing at the edge, or in concert with cloud resources, can help reduce latency and improve data security over fully cloud-based AI architectures. 

“We’ve heard from customers that they see real business value in implementing AI solutions, but they’re often not sure where to start. Insights from a trusted advisor can help them pull the pieces together,” says Sara Mellinger, Edge AI strategist at OnLogic. “Talking directly with customers about their technology challenges has always been core to the way we approach industrial computing, so providing an AI-specific consulting service is a natural next step. We prioritized partnering with AI leaders who share our commitment to collaborating with customers to create impactful solutions.”