Digital, Manufacturing and Innovation

Factories around the world are facing one of their most significant transitions since the Industrial Revolution. The promise of digital transformation is enormous, but the path to get there is complex. Ericsson brought us this important topic in their article, “Why going digital is still a challenge for factories?“ For many manufacturers, legacy systems remain…

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Shaping Technology To Be Trusted

Artificial intelligence (AI) is advancing rapidly and shaping industries across the globe. While its applications in healthcare, finance and communication are widely recognized, one important factor often receives less attention: the transparency of the data that trains these systems. Understanding the origins of training data, the methods used for learning and the potential for embedded…

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AI Tools and Ethics

The rise of artificial intelligence (AI) has brought new opportunities, but it has also given way to the shadow AI economy. This hidden sphere includes unauthorized use of AI tools, unregulated marketplaces and off-the-record exchanges of data and models. It often operates outside the oversight of companies, governments or research institutions, making it difficult to…

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Digital Evolution and Trust

We hear it everywhere: artificial intelligence (AI), blockchain, the Internet of Things (IoT) – the buzzwords shaping our world. These technologies are changing how we work, connect and live. But here’s the thing: as innovation accelerates, so do questions about ethics and trust. This interesting and important topic came to us from Silicon in their…

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Is Your Data Governance Plan Updated?

Artificial intelligence (AI) continues to reshape industries and transform the global economy. However, there are questions about the role of data governance in either enabling or hindering progress have become more pressing. While lots of attention has been given to advancements in machine learning algorithms and computational power, experts argue that outdated data governance frameworks…

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From Keywords to Conversations

Search began as a simple transaction between people and machines. Early search engines relied almost entirely on keywords, treating every query as a string of terms to be matched against web pages. Results were based on how often those words appeared and where they were placed. This approach worked for a time, but it assumed…

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Fostering Usability

Training machine learning models often requires substantial amounts of data, but obtaining high-quality data for certain tasks can be challenging. For scenarios involving real-world situations, data collection may be time-intensive, costly or even impractical. Simulated learning offers a practical solution by providing virtual environments where machine learning models can be trained efficiently and effectively without…

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Start with Analytics

Analytics has become central to modern decision-making, enabling organizations and individuals to extract insights from data and apply them in meaningful ways. To use analytics effectively, it is important to understand the areas of study that provide both the technical foundation and the critical thinking skills required to work with data. ARA brought this important…

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The Many Faces of Artificial Intelligence

Artificial intelligence (AI) has become one of the most influential forces shaping modern life, yet it is often spoken about as if it were a single, unified tool. In reality, AI is a broad ecosystem of technologies that serve very different purposes and operate in distinct ways. This interesting topic came to us from Towards…

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Adjusting Workflows in the Time of AI

Artificial intelligence (AI) is reshaping the way organizations approach data analytics. Where traditional analytics relied heavily on human-defined queries and manual interpretation, AI introduces the ability to identify patterns, generate insights and even predict outcomes with speed and accuracy that surpass human capacity. Solutions review brought this topic to our attention in their article, “How…

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