13 July 2020
According to the KMWorld website, “To help shine a light on innovative knowledge management vendors that are incorporating AI and cognitive computing technologies into their offerings, in this issue, KMWorld presents the KMWorld AI 50: The Companies Empowering Intelligent Knowledge Management, a list of organizations that are enhancing solutions and services with intelligence and automation.”
"As the drive for digital transformation becomes an imperative for companies seeking to compete and succeed in all industry sectors, intelligent tools and services are being leveraged to enable speed, insight, and accuracy," said Tom Hogan, Group Publisher at KMWorld. "To showcase organizations that are incorporating AI and an assortment of related technologies—including natural language processing, machine learning, and computer vision—into their offerings, KMWorld created the "AI 50: The Companies Empowering Intelligent Knowledge Management."
“The havoc wrecked by the classic ‘garbage in, garbage out’ problem is compounded in an Artificial Intelligence environment, especially with Machine Learning and Deep Learning,” cautions Jay Ven Eman, CEO at Access Innovations. “At Access Innovations we use targeted, strategically placed AI and IQ (human intelligence) at critical stages of the content life cycle; cleansing, normalizing, harmonizing, and enriching it enabling AI to produce meaningful results. Knowledge Management is only as good as the knowledge you're managing.”
“Artificial Intelligence has been around for years and its meaning varies among constituencies. For us, it is to augment and assist the human brain in tagging and semantically enriching content quickly and accurately so the material can be discovered: building for the user exactly what they need, and only what they need, to support their research,” emphasized Marjorie Hlava, President of Access Innovations, Inc. “We use more than 20 automated language processing algorithms to ensure that the tagging we produce is consistent and replicable for accurate semantic enrichment. This builds the foundation for extensions such as knowledge graphs and ontologies.”