Remove tag risk-based-approach
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Asset lifecycle management strategy: What’s the best approach for your business?

IBM Big Data Hub

Digital twins allow companies to run tests and predict performance based on simulations. By coupling asset information (thanks to the Internet of Things (IoT)) with powerful analytics capabilities, businesses can now perform cost-effective preventive maintenance, intervening before a critical asset fails and preventing costly downtime.

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Maximize your data dividends with active metadata

IBM Big Data Hub

It helps blur data silos, and empowers data and analytics teams to better understand the context and quality of data. However, as data volumes continue to grow, manual approaches to metadata management are sub-optimal and can result in missed opportunities. This, in turn, builds trust in data and the decision-making to follow.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

It might answer questions about local culture and geography, even personalizing them based on the passenger’s interests. It might suggest a restaurant based on preferences and current popularity. This multi-model approach uses multiple AI models together to combine their strengths and improve the overall output.

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Leveraging user-generated social media content with text-mining examples

IBM Big Data Hub

Stemming reduces words to their base form by removing prefixes or suffixes, while lemmatization maps words to their dictionary form. Part-of-speech (POS) tagging: POS tagging facilitates semantic analysis by assigning grammatical tags to words (e.g., noun, verb, adjective, etc.), positive, negative or neutral).

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. Brought to you by Logi Analytics. How much value could you add? This framework explains how application enhancements can extend your product offerings.

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The most valuable AI use cases for business

IBM Big Data Hub

Voice-based queries use natural language processing (NLP) and sentiment analysis for speech recognition so their conversations can begin immediately. Generative AI can produce high-quality text, images and other content based on the data used for training. See what’s ahead AI can assist with forecasting.

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Part 1: OMG! Not another digital transformation article! Is it about understanding the business drivers?

ARMA International

Some technology trends such as real-time data analytics are on-going, while others are more recent, such as blockchain. Part 3 will discuss how to manage the various DT risks. This part will also discuss managing CS risks such as ransomware, privacy, change management, and user adoption. Introduction.