Cool Vendors Are Interesting, New and Innovative
Nodin, a leading provider of AI-enabled performance management software, announced it has been named a “Cool Vendor” by Gartner in its 2019 Cool Vendors in Communications Service Provider Business Operations* report. According to Gartner, “The information boost from AI [Artificial Intelligence] and ML [Machine Learning] is pivotal for successful digital transformation. Communications service providers must improve agility and create new revenue streams by exploring vendors’ innovative AI/ML solutions, which may enhance service efficiency and create competitive differentiation.”
“We feel this is a great validation that our AI-enabled analytics platform is truly groundbreaking and does what no other business insights solution can do automate the discovery of why things are changing in a business. We believe that companies recognized as Cool Vendors by Gartner are a who’s who list of organizations that have gone on to transform their industries. I’m very proud that Nodin has been recognized by Gartner as a Cool Vendor,” said Jeff Allen, CEO of Nodin.
To us, this recognition of Nodin by Gartner comes at a time when today’s enterprise is facing a wealth of data, but a poverty of relevant insights. The sheer volume of new data created daily is forcing most business analysts to spend their time preparing and cleaning data, rather than delivering timely, actionable information to support better decision-making. In response, a new category of business intelligence augmented analytics – has been developed to apply AI and machine learning and to automate the delivery of business insight.
Nodin is on the cutting edge of this trend, using its next-generation platform to help businesses make smarter decisions and improve their performance, at a speed and scale that truly transforms the way companies operate. By creating a dynamic, self-learning model of a business and monitoring the model in real-time, we know that Nodin’s SaaS offering allows users to instantly understand what is changing, why, and what to do next, across all levels and sources of data.