Remove Experimentation Remove Marketing Remove Risk Remove Testing
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Bringing an AI Product to Market

O'Reilly on Data

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. In this article, we turn our attention to the process itself: how do you bring a product to market? The Core Responsibilities of the AI Product Manager.

Marketing 363
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Mastering budget control in the age of AI: Leveraging on-premises and cloud XaaS for success 

IBM Big Data Hub

This access to specialized expertise enables businesses to accelerate time-to-market and achieve better outcomes while controlling costs. Facilitating rapid experimentation and innovation In the age of AI, rapid experimentation and innovation are essential for staying ahead of the competition.

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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

3) How do we get started, when, who will be involved, and what are the targeted benefits, results, outcomes, and consequences (including risks)? encouraging and rewarding) a culture of experimentation across the organization. Test early and often. Conduct market research. Test and refine the chatbot.

Strategy 290
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AI poised to replace entry-level positions at large financial institutions

CIO Business Intelligence

Large banking firms are quietly testing AI tools under code names such as as Socrates that could one day make the need to hire thousands of college graduates at these firms obsolete, according to the report. But that’s just the tip of the iceberg for a future of AI organizational disruptions that remain to be seen, according to the firm.

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How Svevia connects roads, risk, and refuse through the cloud

CIO Business Intelligence

Nearly 15 years ago, the then Vägverket Produktion was incorporated so road maintenance on Sweden’s national road network could be put on the competitive open market. But today, Svevia is driving cross-sector digitization projects where new technology for increased safety for road workers and users is tested.

Risk 77
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Accelerating Cost Reduction: AI Making an Impact on Financial Services

Cloudera

In the ever-evolving landscape of the financial services Industry, change is a constant and transformation is a requirement — to stay at pace with new regulations, risk mitigation, and the technological developments that support transformation.

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6 best practices to develop a corporate use policy for generative AI

CIO Business Intelligence

But just like other emerging technologies, it doesn’t come without significant risks and challenges. According to a recent Salesforce survey of senior IT leaders , 79% of respondents believe the technology has the potential to be a security risk, 73% are concerned it could be biased, and 59% believe its outputs are inaccurate.

Risk 115