Data and AI: Accelerators of Banking CX

Sas

How important are data and analytics to a banker’s bottom-line objectives – growing deposits, loans and the customer base? In the latest Digital Banking Report, AI for Improved Customer Experience, almost 90 percent of respondents indicated that advanced analytics is extremely or very important to capabilities like cross-channel contextual communications, proactive advice and audience targeting.
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Spotlight

The evolution of cloud-based technology is continuing to reshape the data management landscape. As data volumes increase, users in different industries are demanding flexible, scalable processes that enable them to leverage a wider variety of sources, uncover new insights and confidently make decisions that will drive their businesses forward.

OTHER ON-DEMAND WEBINARS

Generali real-time data streaming in the Insurance Industry - under 10 seconds from source to target!

Market leaders in every industry are beginning to see the power of real-time big data integration and how connecting it can enable them to re-imagine their markets, customers, products, and business models.
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Harness Real-time Public Information to Improve Active Shooter Response

Corporate security teams hope never to respond to an active shooter situation. But given today’s realities, companies spend a great deal of time developing guidelines, holding training sessions, and carrying out drills to ensure that their staff will be prepared in case an active shooter event occurs. Protocols in place for many
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3 Ways Redis Enterprise Helps Customer Modernize Apps

Explore three common ways that customers use Redis Enterprise to build a bridge to modern real-time applications. Today’s applications are faster, more powerful, and routinely capable of doing things that were considered extraordinary just a few years ago. Your applications must evolve. But who wants to constantly migrate, replatform, or re-architect?
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SAP HANA : Future of Data Warehousing and Bigdata Analytics

SAP HANA

Webinar will discuss about: History and present of SAP Business Model. Overview of Technology underlying SAP HANA (In Memory Computing) , Bigdata, Space for Analytics. SAP HANA Modelling Environment (Architecture + Setting up Environment). Data warehousing Models (Star schema + concept of master data). Basic Graphical Views (attribute, analytical and calculation Views). Data base operation in Hana tool.
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Spotlight

The evolution of cloud-based technology is continuing to reshape the data management landscape. As data volumes increase, users in different industries are demanding flexible, scalable processes that enable them to leverage a wider variety of sources, uncover new insights and confidently make decisions that will drive their businesses forward.

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