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3 Times in a Row! TIBCO Software Named a Leader in 2021 Gartner Magic Quadrant for Data Science and Machine Learning Platforms

TIBCO - Connected Intelligence

This makes the 2021 Gartner Magic Quadrant for Data Science and Machine Learning Platforms an important resource for today’s data science-driven organizations that must invest in this critical technology. Encourages Collaboration: Today, analytics + data science is a team sport spanning business and IT.

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Dynamic Pricing Explained: Use in Revenue Management and Pricing Optimization

Altexsoft

We talked with experts from Perfect Price, Prisync, and a data science specialist from The Tesseract Academy to understand how various businesses can use machine learning for dynamic pricing to achieve their revenue goals. Approaches to dynamic pricing: Rule-based vs machine learning. Functionality of IBM Dynamic Pricing.

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The NBA’s digital transformation is a game-changer

CIO

The NBA’s full-court press on digital technologies has revolutionized the fan, player, and team experience, thanks to accelerated deployment of cloud, analytics, AI, and computer vision technologies since the association launched its digital transformation in 2020.

Games 130
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Here are all 20 companies from Alchemist Accelerator’s latest Demo Day

TechCrunch

” Wilab: Data analytics for 5G networks, meant to help predict energy/bandwidth needs and shorten outages. Grandeur Technologies: Pitching itself as “Firebase for IoT,” they’re building a suite of tools that lets developers focus more on the hardware and less on things like data storage or user authentication.

Company 219
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Organize Your Data Lake

Datavail

Data stored in these databases fit neatly into this organization, such as information from financial records, sports scores, IoT device readings, etc. A Data Warehouse is an orchestrated system of databases optimized to facilitate analytics (as opposed to being used as operational resources). The Data Warehouse.

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Omnichannel Strategy: How to Create an Integrated Customer Experience

Altexsoft

Because of lack of integration, cross-channel customer interactions aren’t captured, so data collected for analytics is often fragmented and incomplete. You can gather data from various sources, including website analytics, social media insights, and customer surveys. Map customer journeys.

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Artificial Intelligence and Data Science Advances in 2018 and Trends for 2019

Altexsoft

Machine learning and data science advisor Oleksandr Khryplyvenko notes that 2018 wasn’t as full of memorable breakthroughs for the industry, unlike previous years. So, it’s not the state-of-the-art that motivates businesses to use data science more but the standardized approach to machine learning model building. ”.