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How companies around the world apply machine learning

O'Reilly Media - Data

Strata Data London will introduce technologies and techniques; showcase use cases; and highlight the importance of ethics, privacy, and security. The growing role of data and machine learning cuts across domains and industries. Data Science and Machine Learning sessions will cover tools, techniques, and case studies.

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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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What is a data analyst? A key role for data-driven business decisions

CIO

They create reports, dashboards, and other visualizations on data associated with customers, business processes, market economics, and more to provide insights to senior management and business leaders in support of decision-making efforts. The right big data certifications and business intelligence certifications can help.

Data 148
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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 218
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Core technologies and tools for AI, big data, and cloud computing

O'Reilly Media - Ideas

There are many articles that point to the explosion of data, but in order for that data that be useful for analytics and ML, it has to be collected, transported, cleaned, stored, and combined with other data sources. Transportation and Logistics. Retail and e-commerce. Health and Medicine. Financial services.

Big Data 108
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What is Streaming Analytics: Data Streaming, Stream Processing, and Real-time Analytics

Altexsoft

Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview. A complete guide to business intelligence and analytics. The role of business intelligence developer.

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ETL vs ELT: Key Differences Everyone Must Know

Altexsoft

From the late 1980s, when data warehouses came into view, and up to the mid-2000s, ETL was the main method used in creating data warehouses to support business intelligence (BI). As data keeps growing in volumes and types, the use of ETL becomes quite ineffective, costly, and time-consuming. What is ELT?