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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 364
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The key to operational AI: Modern data architecture

CIO Business Intelligence

Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.

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Gartner projects major IT spending increases for 2025

CIO Business Intelligence

Forrester also recently predicted that 2025 would see a shift in AI strategies , away from experimentation and toward near-term bottom-line gains. This increased focus on AI is driven by its proven ability to accelerate decision-making, improve accuracy in forecasting, and support scalable growth initiatives.”

IT 133
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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

It is also important to have a strong test and learn culture to encourage rapid experimentation. How can advanced analytics be used to improve the accuracy of forecasting? The use of newer techniques, especially Machine Learning and Deep Learning, including RNNs and LSTMs, have high applicability in time series forecasting.

Insurance 250
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10 Technical Blogs for Data Scientists to Advance AI/ML Skills

DataRobot Blog

Other organizations are just discovering how to apply AI to accelerate experimentation time frames and find the best models to produce results. Forecast Time Series at Scale with Google BigQuery and DataRobot. Create granular forecasts across a high volume of Time Series models without so much of the manual work. Read the blog.

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Where CIOs should place their 2025 AI bets

CIO Business Intelligence

times compared to 2023 but forecasts lower increases over the next two to five years. It created fragmented practices in the interest of experimentation, rapid learning, and widespread adoption and it paid back productivity dividends in many areas. AI at Wharton reports enterprises increased their gen AI investments in 2024 by 2.3

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Hey Siri, What’s My Forecasted EBITDA Look Like?

Jedox

Even though we have so much advanced technology surrounding us, we still cannot just ask, “ Hey Siri, what’s my forecasted EBITDA look like ?” Experimental” Technology. Is AI truly experimental technology? Many of the algorithms used for budgeting, planning, and forecasting are already in use and were proven decades ago.