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How to take machine learning from exploration to implementation

O'Reilly Media - Data

Interest in machine learning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. Machine Learning in the enterprise". Scalable Machine Learning for Data Cleaning.

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5 hot IT budget investments — and 2 going cold

CIO

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). Besides surgery, the hospital is also investing in robotics for the transportation and delivery of medications.

Budget 363
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Supply Chain Analytics: Opportunities in Data Analysis and Business Intelligence

Altexsoft

Supply chain practitioners and CEOs surveyed by 6river share that the main challenges of the industry are: keeping up with the rapidly changing customer demand, dealing with delays and disruptions, inefficient planning, lack of automation, rising costs (of transportation, labor, etc.), Analytics in logistics and transportation.

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Supply Chain Control Tower: Enhancing Visibility and Resilience

Altexsoft

If we speak about end-to-end visibility, we mean that we should be able to have a granular view of all the main components of a supply chain: transportation – which entails control over the actual delivery process, tracking shipments , predicting ETA , etc.; increase customer satisfaction by giving real-time status updates; and so on.

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Data Collection for Machine Learning: Steps, Methods, and Best Practices

Altexsoft

We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. It’s the first and essential stage of data-related activities and projects, including business intelligence , machine learning , and big data analytics. What is data collection?

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Making Sense of IoT Platforms: AWS vs Azure vs Google vs IBM vs Cisco

Altexsoft

IoT infrastructure contains several key layers, with an IoT platform acting as a bridge between physical world and business processes. Transport layer: networks and gateways. The transport layer is responsible for smooth and secure data transmission from a perception to processing layer. How an IoT system works.

IoT 141
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What is Streaming Analytics: Data Streaming, Stream Processing, and Real-time Analytics

Altexsoft

A complete guide to business intelligence and analytics. The role of business intelligence developer. Given those characteristics, stream analytics are typically used in the following industries: Heavy machinery/transportation/fleet operations : sourcing data streams from sensors and IoT devices. Batch processing.