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Plastic upcycling startup Novoloop raises $10M Series A extension to accelerate commercialization

TechCrunch

The startup says the investors of Series A are in the decarbonizing energy, textiles, construction and other industries across Europe, Asia and the U.S. Its first product Oistre is a thermoplastic polyurethane (TPU), a technical material for use in durable products like shoes, apparel, sporting goods, electronics and cars.

Chemicals 249
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Fintech Roundup: Will financial technology startups dodge the venture slowdown?

TechCrunch

But they do at least provide some metrics. Handle.com raises $10M Series A for construction payment compliance. Morgan Payments will become the primary processor for its Play+ transactions spanning online casino, mobile sports betting, cashless payments at casinos “and more.” In other news.

Fintech 241
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The great divide: Separating operations and innovation

CIO

By innovation we mean transformational work, the construction of new processes and products, often of the sort that generate revenue, improve experiences, or pivot the enterprise. Road-mapping and transformations also become easier as each group can undertake the work that will most affect its assigned success metrics. Disadvantages.

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How Canadian Tire CIO & CTO balances lessons learned and leading with purpose

CIO

No small feat considering he’s responsible for a bursting portfolio that covers a family of companies including Canadian Tire retail, Sport Check, Mark’s, Party City, Pro Hockey Life, and several others. “I The idea being that technology, whether it’s internal or customer facing, has certain constructs that can be applied more broadly.

Retail 264
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Recommender Systems: Content-based, Social recommendations and Collaborative filtering

Federico Cargnelutti

In item-item systems metrics are computed between items (e.g. Similarity or distance function: Memory-based systems and some others need to define a distance metric between pairs of items or users. This allows the ranking metric approach to, for instance, penalise a mistake at rank 1 more severely than a mistake further down the list.

Social 40
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Occupancy Rate Prediction: Building an ML Module to Analyze One of the Main Hospitality KPIs

Altexsoft

Stakeholders — from property owners to managers to housekeeping staff — use this metric to make informed decisions and increase revenue per room or property. Along with other hospitality metrics like RevPAR , the occupancy rate is an important KPI that allows better and more accurate revenue management aimed at maximizing income.

Hotels 52
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Hotel Price Prediction: Hands-On Experience of ADR Forecasting

Altexsoft

In terms of price prediction tasks, a logical metric to use as a target variable for machine learning algorithms is the average daily rate (ADR). External factors include pricing strategies of competitors, economic changes, events such as sports competitions or festivals, exchange rates, and political situations, etc. Hotel software.

Hotels 52