IBM, one of the best-known tech companies in the world, recently achieved a leadership position in the Gartner Magic Quadrant for Data Science, Machine Learning Platforms, and Cloud AI developer services. Cloud developer solutions and AI automation are quickly gaining attention in the CX world as companies search for ways to streamline customer service and empower teams.
IBM achieved its leadership position in 2021 thanks to a wide portfolio of AI, machine learning, and automation solutions, intended to foster better results through smart technology. A diverse portfolio of Automation AI, language and vision products makes IBM a strong contender in the growing marketplace, with products like IBM Watson Assistant, NLU, Studio, and Discovery.
Infusing Intelligence into Workflows
One of the aspects that sets IBM apart from other AI competitors right now, is the fact that the company can offer an end-to-end AI lifecycle management experience. Through IBM Cloud Pak for Data, and IBM Watson Studio, developers, data scientists, and more, can build powerful AI models they can trust.
Throughout the evolving business landscape, companies are infusing intelligence into their workflows to get a better idea of things like customer sentiment and behaviour. IBM’s tools simplify the process of training, deploying, and managing computer vision models. With services like IBM Maximo Visual Inspection, subject matter experts can build applications without deep learning or coding expertise, making AI opportunities more accessible.
Through cloud-based AI solutions for developers and automated systems, business leaders finally have the opportunity to build and leverage the tools that can drive the most meaningful outcomes for customers. IBM’s service offloads most of the complex tasks of creating AI solutions, so new models can be deployed quickly. Plus, IBM frequently implements new innovations into Watson to enhance trust, natural language processing, and automation.
How Businesses Can Future Proof with AI Automation
The opportunities available with the right AI technology are essentially limitless. With an automated system, companies can collect information about customers and their journeys in real-time while protecting clients from privacy and security breaches. The information collected by an automated system can then drive important decisions about how to improve and enhance customer service.
With automated apps that developers can build and adjust in the cloud, team leaders can design systems that automatically record valuable details in a secure cloud environment or transcribe conversations for eDiscovery at a later date. Automated systems can even collect information about a customer in real-time and deliver it to an agent so that they can offer more personalized experiences to their clients. For companies that need to follow up on customer success, an automated system can even remind agents when to call a client back.
Through easily-accessible tools for automation, organizations speed up the processes involved in solving customer problems and delivering sensational service, while opening the door to better innovation in the future, based on data analysis. IBM is just one of the companies leading the way to a future enhanced by AI and automation.
