Executive Interviews Explain AI Adoption in the Enterprise


The Executive Interviews in AI Trends feature members of the AI World advisory board, discussing how they are putting AI to work inside their companies, what issues they confront, what strategies they employ to deploy AI inside large organizations.

For example, JP Abello of Nielsen expressed a high degree of concern about the state of the Internet of Things in our recent interview. JP leads global engineering, research and development for the measurement of IoT as part of the thought leadership team at Nielsen.

Among his comments, “We need a common platform for the consumer IoT space and IoT in general. Unfortunately we are not anywhere close to that today.” The security of IoT devices has been an afterthought for many manufacturers. This must change. JP said, “The way this could be improved is first, when a new device is purchased by a consumer, the consumer has to be required to change the username and password at setup time,” as they do with many websites and mobile computing apps.

The model of AI adoption many large organizations adopt involves starting out with open source frameworks, then extending them with internal development and often cooperation with startup firms. At Bank of New York, vice president for product and strategy Kumar Srivastava described in an Executive Interview the importance of open source to getting started with AI.

“But things like managing the AI, managing a deep learning network, that capability will not be open sourced,” Kumar said. “So, we’ll have an environment where it’s extremely easy to get started. because there’s a lot of code available in open source. But it will be very hard to achieve massive scale because that capability will not be open sourced.”

AI Trends Weekly Brief by John Desmond. Keep following AI Trends for future Executive interviews that outline how AI is being adopted in the enterprise.