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Security AI and automation are key in protecting against costly data breaches for retailers and consumer goods businesses

IBM Big Data Hub

The rise of online commerce over the last two decades has completely transformed the retail and consumer goods industries—and with smartphone adoption accelerating globally, the share of shopping done via the internet will only continue to expand. For retail, the average data breach studied cost $2.96

Retail 88
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News alert: Harter Secrest & Emery announces designation as NetDiligence-authorized Breach Coac

The Last Watchdog

Harter Secrest & Emery’s privacy and data security clients range from Fortune 100 corporations to closely-held businesses in a wide range of industries, including healthcare, financial services, data analytics/big data, retail, education, manufacturers, defense contractors, and employers of all sizes.

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The customer experience evolution: Today’s data-driven, real-time discipline

IBM Big Data Hub

How we arrived at this CX environment Early days of retail Before mass media, it was harder to know what other products were available outside of the ones offered by the local store. They were much less likely to have any meaningful relationship with the product manufacturer unless those products were made and sold locally.

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The most valuable AI use cases for business

IBM Big Data Hub

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.

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Achieve Data Center Excellence with IBM and VMware

IBM Big Data Hub

Healthcare: Support telemedicine and patient data analytics, requiring stringent compliance regulations. Retail: Manage e-commerce platforms, customer data analytics and supply chain logistics, where data analysis often must occur at the edge.

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Building a sustainable automotive supply chain

IBM Big Data Hub

For example, the chip shortage has been a call to action for both original equipment manufacturers (OEMs) and suppliers. Supply shortages can lead to line outages, manufacturing delays, out of stock issues and lost revenue.

B2B 67
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Streamlining supply chain management: Strategies for the future

IBM Big Data Hub

Big data and predictive analytics are increasingly being used to improve forecasting accuracy, allowing businesses to respond more effectively to changes in customer needs. Advanced software tools can automate some parts of forecasting, providing real-time updates and alerts when inventory levels are too high or low.