Pienso builds no-code tools for training AI models

But that doesnt mean its getting easier to deploy.According to a 2023 S&P Global survey, about half of companies with at least one AI project in production are still at the pilot or proof-of-concept stages. The reasons for the slow ramp-ups vary, but the commonly cited ones are challenges around data management, security and compute resources.Of businesses responding to the S&P poll, around half said they arent ready to implement AI and wont be for five years or more.Fortunately, theres an increasing number of products from startups and Big Tech vendors alike that aim to tackle these AI deployment roadblocks. To be able to scale to AIs full potential, where it can manage business processes and interact with customers, you have to be able to train and fine-tune your model. But it can also operate without APIs or third-party services, keeping data within a secure environment.Sky, the U.K. broadcaster, is using Pienso to analyze customer service calls, Jones says, while an unnamed U.S. government agency has tested it to monitor illegal weapons tracking.Piensos flexible, no-code interface allows teams to train models directly using their own companys data, Jones said. Its fostering a future where were building smarter AI models for a specific application, by the people who are most familiar with the problems they are trying to solve.