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Server Utilization Forecasting enables enterprises to optimize server allocation and utilization by generating 30 days of forward forecast of server usage. This helps enterprises to plan their server allocation strategy across the cloud and on premise scenarios using historical data. It uses...

Model Package - Fulfilled on Amazon SageMaker

Price $4,500 | 1 month subscription available.

Stone Paper Market is forecast to reach $14.26 billion by 2025, after growing at a CAGR of 3.5% during the forecast period from 2020-2025. Stone paper, also known as limestone paper, bio-plastic paper, mineral paper or rich mineral paper, is a type of strong and durable paper-like material. It is...

Price $4,000 | 12 month subscription available.

Purchase intent and consumer sentiment data derived from social media data. Coverage of 19 publicly-traded Apparel & Textile Manufacturers companies. Full point-in-time historical file, with full history as of each knowledge date through yesterday. Updates daily.

Price $14,950 | 12 month subscription available.

The Business to Business Payments Report Singapore 2020, is a comprehensive review of the business expense payment and acceptance preferences of over 700 businesses in Singapore. Looking at key drivers, barriers to payment types and opportunities for financial service providers, this report...

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This model out-of-the-box detects faces accurately, is deep learning based, and in particular, utilizes the Single Shot Detector (SSD) framework with ResNet as the base network.

Model Package - Fulfilled on Amazon SageMaker

Price $1,300 | 12 month subscription available.

US consumer survey data modeled to Zip Code level. Data file lists the percentage answers for the question “On a scale from 1-5, (with "1" being "Strongly Disagree" and "5" being "Strongly Agree"), please indicate to what extent you agree or disagree with the following statements: The government...

Price $40,000 | 12 month subscription available.

Epsilon’s Consumer Data Insights file, plus 22 retail propensity models and a suite of retail data attributes. Data is aggregated at the neighborhood ZIP+4 level to allow for detailed analysis at the most discreet level of geography. Use this data for smarter market segmentation, target audience...