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Core technologies and tools for AI, big data, and cloud computing

O'Reilly Media - Ideas

This concurs with survey results we plan to release over the next few months. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Data Integration and Data Pipelines. Automation in data science and big data.

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Coalesce lands fresh capital to transform data at ‘enterprise scale’

TechCrunch

(In computing, a “data warehouse” refers to systems used for reporting and data analysis — analysis usually germane to business intelligence.) Their clients often encountered challenges in transforming data, Petrossian says, as well as documenting these transformations in a way that made intuitive sense.

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Data Architect: Role Description, Skills, Certifications and When to Hire

Altexsoft

Data is now one of the most valuable assets for any kind of business. The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. Feel free to enjoy it.

Data 87
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Doing Business in a Big Data World

Strategy Driven

The Internet and cloud computing have revolutionized the nature of data capture and storage, tempting many companies to adopt a new 'Big Data' philosophy: collect all the data you can; all the time. Big Data is Not Just More Data : That’s because the nature of the data we can now collect has changed.

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The role of self-service BI for business agility

Capgemini

Let’s look at how to best deliver the potential of self-service BI, demonstrating how an innovative business-centric catalog puts data at the fingertips of decision makers. Data has to be easy to find, understand, access, and use for everyone in the chain: data engineers, analysts, data scientists, and business users.

Agile 52
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Supply Chain Control Tower: Enhancing Visibility and Resilience

Altexsoft

Leading executives focus on building resilient and intelligent supply chains that can withstand the turmoil due to data-based proactive decisions. Let’s look at what they say in recent surveys. However, the big drawback of such an approach is obviously its price and duration as it can last for years and cost a fortune.

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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.), Optimization opportunities offered by analytics.