Remove Digital Transformation Remove Internet of Things Remove Marketing Remove Optimization
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Digital transformation examples

IBM Big Data Hub

A digital transformation is an overhauled, digital-first approach to how a business is run. The digital world is evolving quickly with new products and digital technologies that require vigorous digital transformation initiatives. Why digital transformation?

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How to create a robust digital transformation strategy

IBM Big Data Hub

Organizations are increasingly investing in digital transformation as a way to maintain or grow a competitive advantage. A tried-and-true way to approach digital transformation is to understand the relationship customers have with the product and the brand, where that relationship currently falls short, and how it can be improved.

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Digital Transformation is a Data Journey From Edge to Insight

Cloudera

Digital transformation is a hot topic for all markets and industries as it’s delivering value with explosive growth rates. Reporting – delivering business enterprise insight (sales analysis and forecasting, market research, budgeting as examples). There will be time for direct Q&A at the end.

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Smart manufacturing technology is transforming mass production

IBM Big Data Hub

Evolving technologies and an increasingly globalized and digitalized marketplace have driven manufacturers to adopt smart manufacturing technologies to maintain competitiveness and profitability. Optimize workflows by analyzing data from multiple sources (e.g., What’s the biggest challenge manufacturers face right now?

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Achieving Trusted AI in Manufacturing

Cloudera

As we navigate the fourth and fifth industrial revolution, AI technologies are catalyzing a paradigm shift in how products are designed, produced, and optimized. Quality: Use cases like visual inspection, yield optimization, fault detection, and classification are enhanced with AI technologies. That is a very low number.

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P&G turns to AI to create digital manufacturing of the future

CIO Business Intelligence

The partners say they will create the future of digital manufacturing by leveraging the industrial internet of things (IIoT), digital twin , data, and AI to bring products to consumers faster and increase customer satisfaction, all while improving productivity and reducing costs. Smart manufacturing at scale.

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Automation for all—managing and scaling networks has never been easier

CIO Business Intelligence

At this time of dynamic business and market changes, uncertainty, and quickly evolving consumption models for IT infrastructure, every IT executive understands the benefits and necessity of network agility. Agile networks can respond quickly to changes in the market, customer demands, employee requirements, and technology advances.