According to Tom Clarke, the CEO of Hytiva, AI is still in its infancy but already showcases tremendous potential. It challenges our preconceived notions across all aspects of life. He emphasizes the responsibility that lies with us to establish standards for the ethical use of AI, ensuring it embodies the best qualities of humanity by serving the needs of everyone in a safe and respectful manner. Clarke advocates for collaboration in order to create a robust international framework for AI. Hytiva’s Current Utilization of AI While recent advancements in conversational and generative AI have granted users the thrilling ability to directly engage with AI systems, Hytiva’s clients and consumers have already reaped the benefits of various AI applications, including: 1. Natural Language Processing (NLP): Hytiva employs NLP to facilitate seamless communication and foster connections. When customers place orders at Hytiva client dispensaries or interact with Hytiva’s POS clients, they can receive automated text messages from the dispensary. Hytiva’s systems analyze these messages and promptly notify the dispensary about actionable information. For instance, customers can inform the dispensary of their arrival for a pickup order and specify their curbside spot, streamlining the entire pickup process. 2. Computer Vision: In the highly regulated cannabis industry, compliance with governmental requirements necessitates extensive document scanning, barcode identification, and data capture for various purposes, such as regulatory compliance and lab results. Hytiva leverages specially developed computer vision technology, powered by machine learning, to swiftly identify, scan, and extract information from these documents. This innovation saves time by eliminating the arduous manual tasks of scanning, retyping information, and matching records, offering a significant advantage to facilities that lack Hytiva’s technology. 3. Machine Learning: Hytiva’s advances in logistics planning and scheduling technology have immensely enhanced the satisfaction of both its delivery clients and consumers. By employing machine learning, Hytiva’s systems optimize staff scheduling and determine the most efficient routes by grouping orders together, thereby maximizing customer happiness. Leveraging historical data, such as distance matrices, drive times, and order probabilities, the system continually refines its plans by predicting future orders, further reducing average delivery times. This level of sophisticated optimization is unparalleled in the cannabis industry and even in other sectors where factors like regulations do not impose similar challenges on the delivery process.
Source: Artificial Intelligence on Medium