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10 most in-demand generative AI skills

CIO

The recent AI boom has sparked plenty of conversations around its potential to eliminate jobs, but a survey of 1,400 US business leaders by the Upwork Research Institute found that 49% of hiring managers plan to hire more independent and full-time employees in response to the demand for AI skills.

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5 key areas for tech leaders to watch in 2020

O'Reilly Media - Ideas

Kubernetes’ parent topic, container orchestrators, also posted strong usage growth: 151% in 2018, 36% this year—almost all due to interest in Kubernetes itself. Infrastructure and ops usage was the fastest growing sub-topic under the generic systems administration topic. In aggregate, data engineering usage declined 8% in 2019.

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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. A well-designed SCCT must allow you to view all operations, plan, and execute – all in the same system.

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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.), Supply chain management process.

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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. Unfortunately, for many organizations, this change is slowed by internal issues, fiefdoms, and siloed data and systems. A data catalog for trust.

Agile 52
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The Good and the Bad of Python Programming Language

Altexsoft

In this article, you will learn about its history, pros & cons, where it is applied, how it is faring against other popular languages, and how you can start learning it. web development, data analysis. machine learning , DevOps and system administration, automated-testing, software prototyping, and. What is Python?

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Managing risk in machine learning

O'Reilly Media - Ideas

In this post, I share slides and notes from a keynote I gave at the Strata Data Conference in New York last September. As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. Let’s begin by looking at the state of adoption.