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Bringing an AI Product to Market

O'Reilly on Data

Without clarity in metrics, it’s impossible to do meaningful experimentation. AI PMs must ensure that experimentation occurs during three phases of the product lifecycle: Phase 1: Concept During the concept phase, it’s important to determine if it’s even possible for an AI product “ intervention ” to move an upstream business metric.

Marketing 362
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The top 15 big data and data analytics certifications

CIO Business Intelligence

Organization: CompTIA Price: US$246 How to prepare: CompTIA offers elearning, interactive labs, and exam prep through CertMaster, study guides, and instructor-led training. They can visualize and present data findings in dashboards, presentations, and commonly used visualization platforms.

Big Data 125
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How to get powerful and actionable insights from any and all of your data, without delay

Cloudera

By enabling their event analysts to monitor and analyze events in real time, as well as directly in their data visualization tool, and also rate and give feedback to the system interactively, they increased their data to insight productivity by a factor of 10. . This led them to fall behind. Our solution: Cloudera Data Visualization.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

While leaders have some reservations about the benefits of current AI, organizations are actively investing in gen AI deployment, significantly increasing budgets, expanding use cases, and transitioning projects from experimentation to production. AGI wouldn’t just perceive its surroundings; it would understand them.

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Humans and AI: Should We Describe AI as Autonomous?

DataRobot

In this blog post, I will focus on the use of the word autonomous , the dangers of using it with stakeholders, and, in the context of customer experience, the inaccurate perception that all things can be automated, eliminating the need for interactions between employees and customers. Set the goal to be achieved or optimized.

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CIOs press ahead for gen AI edge — despite misgivings

CIO Business Intelligence

in concert with Microsoft’s AI-optimized Azure platform. Additionally, Flint Hill Resources is deploying the LLM-based platform for commodity trading optimization, while the US Missile Defense Agency is employing it to improve safety during steel manufacturing, according to C3. John Spottiswood, COO of Jerry, a Palo Alto, Calif.-based

Risk 133
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Multi-Channel Attribution Modeling: The Good, Bad and Ugly Models

Occam's Razor

Last Interaction/Last Click Attribution model. First Interaction/First Click Attribution Model. The outcome in either scenario is a restructuring of the organization that is exquisitely geared towards taking advantage of portfolio optimization. Last Interaction/Last Click Attribution model. Linear Attribution Model.

Modeling 161