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7 data trends on our radar

O'Reilly Media - Ideas

In a recent O’Reilly survey , we found that the skills gap remains one of the key challenges holding back the adoption of machine learning. For most companies, the road toward machine learning (ML) involves simpler analytic applications. Increasing focus on building data culture, organization, and training.

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Redefining Manufacturing RPA: Navigate Challenges, Embrace Innovations, and Explore High-Impact Use Cases

Trigent

In the wake of hyper-digitization, manufacturers are leveraging advanced technologies like RPA, IoT, and AI to make their processes more efficient. Companies encountered technological and operational constraints when using standard off-the-shelf RPA solutions that need customization. from 2023 to 2030. Release.

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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 four Es of AI: Keeping up with the trend that never sleeps

CIO

And direct your colleagues to self-service channels so that they may access materials and learn at their own pace. AI never sleeps. With every new claim that AI will be the biggest technological breakthrough since the internet, CIOs feel the pressure mount. For every new headline, they face a dozen new questions.

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Supply Chain Control Tower: Enhancing Visibility and Resilience

Altexsoft

“Control towers are the artificial intelligence (AI) of supply chain. 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. Christian Titze, vice president analyst at Gartner.

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A Way Forward with Communal Computing

O'Reilly Media - Ideas

In previous articles, we discussed the history of communal computing and the origin of the single user model. This article focuses on modeling the communal device you want to build and understanding how it fits into the larger context. These messages can be human-to-human, human-to-machine, and machine-to-machine.

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Data Quality Management: Roles, Processes, Tools

Altexsoft

Low-quality data can also impede and slow down the integration of business intelligence and ML-powered predictive analytics. US company executives that participated in the Data trust pulse survey by PricewaterhouseCoopers noted that unreliable data is one of the obstacles to monetizing data. Source: Skyscanner Facebook.

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