C3 AI "…could become the de facto AI platform standard for the world's most complex industries" "Ahead of its time, C3 AI's strategy is to make AI application-centric by building a growing library of industry solutions, forging deep industry partnerships, running in every cloud, and facilitating extreme reuse through common data models," the report states. "We are pleased to be recognized as a leader in AI and ML platforms," said Thomas Siebel, C3 AI CEO. "I'm delighted to see C3 AI's significant investments in enterprise AI software be acknowledged. I believe that Forrester Research has made an important contribution, having published the first professional comprehensive analysis of enterprise AI and Machine Learning platforms," Siebel continued, "changing the dialogue from a focus on disjointed tools to the importance of cohesive enterprise AI platforms. This is certain to accelerate the market adoption of enterprise AI and simplify often protracted decision processes."

C3 AI, the Enterprise AI application software company, announced that Forrester Research has named it a Leader in AI and Machine Learning Platforms in its July 2022 report, The Forrester Wave: AI/ML Platforms, Q3 2022. "We are pleased to be recognized as a leader in AI and ML platforms" "Ahead of its time, C3 AI's strategy is to make AI application-centric by building a growing library of industry solutions, forging deep industry partnerships, running in every cloud, and facilitating extreme reuse through common data models," the report states. "We are pleased to be recognized as a leader in AI and ML platforms," said Thomas Siebel, C3 AI CEO. "I'm delighted to see C3 AI's significant investments in enterprise AI software be acknowledged. I believe that Forrester Research has made an important contribution, having published the first professional comprehensive analysis of enterprise AI and Machine Learning platforms," Siebel continued, "changing the dialogue from a focus on disjointed tools to the importance of cohesive enterprise AI platforms. This is certain to accelerate the market adoption of enterprise AI and simplify often protracted decision processes."

When I reviewed the Google Cloud AI and Machine Learning Platform last November, I noted a few gaps despite Google having one of the largest machine learning stacks in the industry, and mentioned that too many of the services offered were still in beta test. I went on to say that nobody ever gets fired for choosing Google AI. This May, Google shook up its AI/ML platform by introducing Vertex AI, which it says unifies and streamlines its AI and ML offerings. Specifically, Vertex AI is supposed to simplify the process of building and deploying machine learning models at scale and require fewer lines of code to train a model than other systems. Google's summary is that Vertex AI brings Google Cloud AutoML and Google Cloud AI and Machine Learning Platform together into a unified API, client library, and user interface.

Further, we are happy to see the National Institute of Standards and Technology (NIST) involved in all three White House documents. Creating the NIST cybersecurity framework, the great scientists at NIST clearly have their eye on the power and future of AI and Machine Learning platforms. Indeed, and in the nick of time, the NIST published Statement 800-160 entitled "Systems Security Engineering: Considerations for a Multidisciplinary Approach in the Engineering of Trustworthy Secure Systems," which will require manufacturers of IoT devices to consider building them to be "cyber secure by design" first before rushing them to market. We feel that by and between the NIST and the Big 5 mentioned above, considerate, ethical, and secure AI and Machine Learning platforms will be reasonably assured.