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Real-time artificial intelligence and event processing  

IBM Big Data Hub

Non-symbolic AI can be useful for transforming unstructured data into organized, meaningful information. This helps to simplify data analysis and enable informed decision-making. Stream analytics can be used to help improve the speed and accuracy of models’ predictions.

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Driving new revenue streams through artificial intelligence and advanced analytics

CGI

Driving new revenue streams through artificial intelligence and advanced analytics. For more than 50 years, banks have relied on computers and software to manage and secure their data, as well as protect their customers’ interests. Foundational steps in adopting AI and advanced analytics. ravi.kumarv@cgi.com.

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How IBM and AWS are partnering to deliver the promise of AI for business

IBM Big Data Hub

IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data. The platform provides an intelligent, self-service data ecosystem that enhances data governance, quality and usability.

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The 7 most common data quality issues

Collibra

The impact of data quality is directly seen in lower revenue and higher operational costs, both resulting in financial loss. Data quality significantly influences the organizational efforts in governance and compliance, leading to additional rework and delay. Duplicate data increases the probability of skewed analytical results.

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The 7 most common data quality issues

Collibra

Duplication of contact details, for example, affects customer experience significantly. Duplicate data increases the probability of skewed analytical results. As training data, it can also produce skewed ML models. Rule-based data quality management can help you keep a check on duplicate and overlapping records.

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Part 2: OMG! Not another digital transformation article! Is it about the evolution from RIM to Content Services?

ARMA International

Part 1 discussed the key DT business drivers, concepts, and technology trends, how they are transforming organizations and society, and how they are affecting business users and customers. Some technology trends such as real-time data analytics are on-going, while others are more recent, such as blockchain.

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Elevate human potential with Cloud Editions (CE) 24.2

OpenText Information Management

Let's explore these world-class innovations further: Innovations in OpenText Aviator OpenText™ Analytics & AI Aviator: The metamorphic impact of AI and analytics cannot be overstated. This scalable solution not only powers analytics at lower costs but it also has a positive environmental impact with 50% fewer servers needed.

Cloud 94