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Chief AI officer: What it takes to land the C-suiteā€™s hottest new job

CIO Business Intelligence

As countless organizations race to investigate or adopt artificial intelligence technologies, many are building out an AI skilled workforce. They should be a champion for smart AI adoption, and be able to recognize and balance AI benefits with risks. What is a chief AI officer?

IT 131
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AI Adoption in the Enterprise 2021

O'Reilly on Data

During the first weeks of February, we asked recipients of our Data & AI Newsletter to participate in a survey on AI adoption in the enterprise. First, we wanted to understand how the use of AI grew in the past year. Itā€™s possible that pandemic-induced boredom led more people to respond, but we doubt it. Respondents.

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Bringing an AI Product to Market

O'Reilly on Data

The Core Responsibilities of the AI Product Manager. Product managers for AI must satisfy these same responsibilities, tuned for the AI lifecycle. If youā€™re an AI product manager (or about to become one), thatā€™s what youā€™re signing up for. Identifying the problem.

Marketing 362
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Conversational AI use cases for enterprises

IBM Big Data Hub

Conversational artificial intelligence (AI) leads the charge in breaking down barriers between businesses and their audiences. This class of AI-based tools, including chatbots and virtual assistants, enables seamless, human-like and personalized exchanges.

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4 strategic sourcing use cases to strengthen your supply chain

IBM Big Data Hub

The benefits of strategic sourcing are vast, ranging from overall supply chain process optimization to more cost-effective, long-term relationships with partners. You can read more about preparing for the FSMA here or try our FSMA 204(d) compliance module for free. 3 Building a viable and sustainable ecosystem of partners is complex.

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How to use foundation models and trusted governance to manage AI workflow risk

IBM Big Data Hub

Artificial intelligence (AI) adoption is still in its early stages. As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. ” Are foundation models trustworthy?

Risk 77
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3 Steps Toward More Ethical AI

Dataiku

The risks of the use of AI have long remained limited, as until recently, AI was confined to academics or research and development. But over the last few years, the rise of this technology and its practical applications in business as well as in the daily lives of citizens means a much more real - and much bigger - impact.

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