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4 ways generative AI addresses manufacturing challenges

IBM Big Data Hub

The manufacturing industry is in an unenviable position. Manufacturers are being called to reduce their carbon footprint, adopt circular economy practices and become more eco-friendly in general. And manufacturers face pressure to constantly innovate while ensuring stability and safety.

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Reshoring manufacturing to the US: The role of AI, automation and digital labor

IBM Big Data Hub

Reshoring manufacturing to the US ­ has been a significant trend in recent years, driven by geopolitical tensions, supply chain disruptions, proximity to customers and markets, eco-system synergies and the need for positive impact on the domestic economy.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language. However, these systems lack genuine understanding and can’t adapt to situations outside their training. Regardless, these are examples of narrow AI.

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Business process reengineering (BPR) examples

IBM Big Data Hub

BPR examples are not one-time projects, but rather examples of a continuous journey of innovation and change focused on optimizing end-to-end processes and eliminating redundancies. This blog outlines some BPR examples that benefit from a BPM methodology.

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10 manufacturing trends that are changing the industry

IBM Big Data Hub

Manufacturing has undergone a major digital transformation in the last few years, with technological advancements, evolving consumer demands and the COVID-19 pandemic serving as major catalysts for change. Here, we’ll discuss the major manufacturing trends that will change the industry in the coming year. Industry 4.0

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Best Fraud Management Systems & Detection Tools in 2022

eSecurity Planet

Since the beginning of the COVID-19 pandemic, businesses have responded to fraud by adopting new tools and strategies to combat the ever-evolving threat. For example, Experian’s 2021 Global Identity and Fraud Report stated that 82% of surveyed businesses had adopted customer recognition strategies. of attacks IBM handled, respectively.

Analytics 111
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Bigger isn’t always better: How hybrid AI pattern enables smaller language models

IBM Big Data Hub

Modern AI tools can generate, create, summarize, translate, classify and even converse. Tools in the generative AI domain allow us to generate responses to prompts after learning from existing artifacts. To train LLMs, developers use massive amounts of data from various sources, including the internet. How small can you go?

Cloud 85