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Insight is the new GOLD

OpenText Information Management

From the many customers I have worked with since the beginning of the pandemic, when digital transformation accelerated, I learned that keeping up speed, while staying relevant, hugely depends on insight. Any person will measure their experience based on whether the right service is provided to them, at the right time, for the right price.

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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. AWS, on the other hand, provides robust, scalable cloud infrastructure.

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TDC Digital leverages IBM Cloud for transparent billing and improved customer satisfaction

IBM Big Data Hub

Furthermore, TDC Digital had not used any cloud storage solution and experienced latency and downtime while hosting the application in its data center. These issues started impacting their customer experience and eventually led to customer retention challenges.

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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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The most valuable AI use cases for business

IBM Big Data Hub

There’s no need to make customers wait for the answers to frequently asked questions (FAQs) or to take the next step to purchase. And digital customer service agents can boost customer satisfaction by offering advice and guidance to customer service agents. See what’s ahead AI can assist with forecasting.