This is just a brief glimpse of how IBM AI OpenScale can transform the day-to-day management of machine learning models and make it easier to run AI-infused applications safely and at scale. Read our blog to learn more about IBM AI OpenScale.
AI is helping elevator manufacturers better anticipate problems, improve repair services and handle traffic more efficiently. One such elevator firm, KONE, recently joined forces with IBM’s Watson IoT, to provide predictive maintenance services and offer more personalized experiences.
Companies spend on average $4,000 or more to hire a call center service agent, with an additional average of $4,800 or more to train them. The high costs coupled with a 30% average employee turnover at U.S. call centers has put the pinch on the bottom line.
The average consumer is likely now to own a smartphone with an AI-based, voice-activated personal digital assistant. In 2019, it should come as no surprise that we’ll see AI pop up in more places and become increasingly useful for a range of tasks.
While AI’s promise is nowhere near fulfilled in 2019, many companies are using it to improve customer service, make better decisions and to squeeze efficiency out of their operations. Take a closer look at how businesses are applying AI to their real-world operations.
Extract important data from governing documents with Watson Compare & Comply, now generally available
We’re excited to announce general availability of Watson Compare & Comply – the popular offering, once baked into Watson Discovery, is striking out as a single product with a load of valuable new features to help you get the most out of your business and governing documents.
AI platforms and solutions like Watson require a partnership between human and machine to be valuable. AI is there to augment the work we do in countless industries–helping companies reimagine their business workflows, redefine how they uncover deep insights from data, and augment human creativity and productivity.
By 2020, according to Gartner, the amount of enterprise data created will increase by 800%. As companies accumulate larger amounts of data in different formats and locations, the complexity of understanding the totality, while still being able to derive useful timely insights from it, demands a robust AI solution.
Join IBM & WIRED for the AI and the Future of Work Virtual Summit to learn how businesses are using AI to make better decisions faster, understand complex documents to mitigate risk, deploy virtual agents to enhance customer service, and foster innovation with AI Centers of Excellence.