PredictHQ, the demand intelligence company, today announced it has been recognized as a 2021 Cool Vendor in the “Data for Artificial Intelligence and Machine Learning” Gartner Cool Vendors™ report by Afraz Jaffri, Svetlana Sicular, Chirag Dekate, Anthony Mullen, and Arun Chandrasekaran.

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According to the report, “By 2025, 70% of organizations will be compelled to shift their focus from big to small and wide data, providing more context for analytics and making AI less data hungry.”

The report continues, “Data and analytics leaders want to improve the delivery of AI results with data innovations. AI teams are expanding their focus from model development to data that makes these models effective, and many of them are looking for AI-specific data offerings to improve and simplify their data-related efforts.”

PredictHQ helps businesses anticipate and prepare for fluctuations caused by real-world events impacting consumer demand by providing forecast-grade, contextual data for real-time forecasting and demand intelligence. Leading businesses across food, retail, transport, and travel use PredictHQ’s intelligent demand forecasting data to understand the impact of events.

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From supply chain managers responsible for allocation and stocking of goods and supplies, to finance leaders in charge of forecasting, as well as data scientists and analytics professionals looking to enrich their models, PredictHQ enables teams to improve demand forecasting and plan with confidence regardless of volatile conditions.

“Building strategies on last years’ data is meaningless at the moment. As we near the end of yet another year of unpredictable events –– from lockdowns, severe weather events, to attended events roaring back to life –– the ever-evolving context around how these events will impact businesses remains a huge challenge,” said Campbell Brown, CEO at PredictHQ. “We believe that this Gartner Cool Vendor recognition is an important validation of what we’re seeing in the market — the need for forecast-grade external intelligence to accurately build forecasting and planning models that drive profitability.”

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