On March 8, 2023, SparkCognition released its Generative AI Platform for Industrials. This will allow companies to use AI to solve problems where they couldn't before because there wasn't enough data. This is especially important for the industrial sector, where data is often limited because sensors are expensive and the machinery being monitored is hard to understand. SparkCognition's platform can help organizations get high-fidelity insights and reduce the amount of basic information they need to make good decisions by adding synthetic content to data sets on their own.
The Generative AI Platform stands out because it can make fake content in the form of text, images, audio, and other signals. This lets organizations get a fuller picture of the performance of an asset or an entire end-to-end process, turn low-resolution images into high-resolution views, and make images that can be used in simulated real-world environments. This, in turn, makes it easier for organizations to analyze complicated situations and make decisions based on data.
SparkCognition wants to make industry-specific large language models (LLMs) to improve the value of its generative AI platform. Large, unstructured datasets can be used by these deep learning algorithms to recognize, summarize, translate, predict, and make content. This technology has a wide range of effects on how companies decide which R&D investments to make first, how they manage production, how they optimize supply, how they direct distribution, and more.
Chief Data Scientist at SparkCognition, Bruce Porter, said, "Generative AI will accelerate the rate of digital transformation by disrupting the way organizations approach decision-making and data management." He also said, "With the release of the SparkCognition Generative AI Platform, industrial organizations can generate real-time, cost-effective, critical insights to solve the most pressing challenges and redefine best practices."
(Source – Cision PRNewswire)
The market for generative AI is expected to grow significantly over the next decade. Analysts predict a compounded annual growth rate of 34.6%, with a market size of $109.3B in 2030, up from $10.8B in 2022. This growth will be driven by the ability to upgrade generative models using a company's data, whether it comes from sensors or from deep learning techniques like generative adversarial networks (GANs) and variational autoencoders (VAEs). The resultant models will be trained on large datasets and then fine-tuned for industrial applications.
Overall, SparkCognition's generative AI platform has the potential to disrupt the way organizations approach decision-making and data management. It enables organizations to generate real-time, cost-effective, and critical insights to solve pressing challenges and redefine best practices.
About SparkCognition
SparkCognition is an AI solutions provider that partners with industry leaders to analyze and learn from data, optimize processes, and prevent cyberattacks. Its patented AI technologies, including machine learning and computer vision, aim to accelerate digital transformation and solve critical problems such as unexpected downtime, asset performance, and worker safety. SparkCognition's solutions also help achieve net-zero initiatives and eliminate accidents while avoiding zero-day cyberattacks.