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Conversational AI use cases for enterprises

IBM Big Data Hub

Enterprises can use NLU to offer personalized experiences for their users at scale and meet customer needs without human intervention. Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends.

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Smarten Announces SnapShot Anomaly Monitoring Alerts: Powerful Tools for Business Users!

Smarten

SnapShot Monitoring provides powerful data analytical features that reveal trends and anomalies and allow the enterprise to map targets and adapt to changing markets with clear, prescribed actions for continuous improvement. Original Post : Smarten Announces SnapShot Anomaly Monitoring Alerts: Powerful Tools for Business Users!

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What is Integrated Business Planning (IBP)?

IBM Big Data Hub

Data integration and analytics IBP relies on the integration of data from different sources and systems. This may involve consolidating data from enterprise resource planning (ERP) systems, customer relationship management (CRM) systems, supply chain management systems, and other relevant sources.

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Businesses Across Various Industry Verticals Use Data Analytics

Smart Data Collective

. ‘Although companies in healthcare, IT and finance are some of the biggest investors in analytics technology, plenty of other sectors are investing in analytics as well. Analytics Becomes Major Asset to Companies Across All Sectors. Analytics Tools that are at the top of their game.

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Make Your Investment in Analytic Technology Pay Off With Decision Requirements Modeling

Decision Management Solutions

Like many enterprises, you’ve likely made a hefty investment in analytic technology—from interactive dashboards and advanced visualization tools to data mining, predictive analytics, machine learning (ML), and artificial intelligence (AI). Focusing on decision-making changes everything.

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Do I Need Both BI Tools and Augmented Analytics?

Smarten

Recent studies have focused on the trends in business intelligence and augmented analytics, predicting that businesses will grow analytics within the enterprise with: Augmented Analytics to enable non-technical business users to create sophisticated data models. Key Performance Indicators (KPIs).

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Business process reengineering (BPR) examples

IBM Big Data Hub

Technologies such as supply chain management software (SCM), enterprise resource planning (ERP) systems, and advanced analytics tools can be used to automate and optimize processes. BPR initiatives generally boost key performance indicators (KPIs).