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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). Fig 1: The Enterprise Data Lifecycle.

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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 10: COVID-19 | Evolving Trends of Digital Transformation

bridgei2i

PODCAST: COVID 19 | Redefining Digital Enterprises. Episode 10: COVID-19 | Evolving Trends of Digital Transformation. COVID-19 | Evolving Trends of Digital Transformation. My name is Vignesh, and I help companies succeed in their AI-enabled digital transformation. Listening time: 12 minutes.

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Minimizing Supply Chain Disruptions with Advanced Analytics

Cloudera

Consider that e-commerce’s acceleration due to the pandemic saw retailers’ digital sales penetration realize 10 years of growth in just the first three months of 2020 alone. . In summary, predicting future supply chain demands using last year’s data, just doesn’t work. Digital Transformation is not without Risk.

Analytics 108
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Digital Twin Use Races Ahead at McLaren Group

CIO Business Intelligence

Meanwhile, the digital twin market is set to grow at a 50% compound annual growth rate, reaching $184.5 For businesses like the McLaren Group, these two trends are at the core of the conglomerate’s digital transformation and competitive strategy, on and off the track. . billion by 2030. A Competitive Differentiator.

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Real-time Data, Machine Learning, and Results: The Evidence Mounts

CIO Business Intelligence

In the new report, titled “Digital Transformation, Data Architecture, and Legacy Systems,” researchers defined a range of measures of what they summed up as “data architecture coherence.” But the urgency and the upside of modernizing and optimizing the data architecture keeps coming into sharper focus.

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Straumann Group is transforming dentistry with data, AI

CIO Business Intelligence

Now, the team’s information architects, in conjunction with business analysts, are working on the semantic layer, which feeds data from data warehouses and data lakes into data marts, including a finance mart, sales mart, supply chain mart, and market mart. Analytics, Artificial Intelligence, Data Management, Predictive Analytics

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AI in commerce: Essential use cases for B2B and B2C

IBM Big Data Hub

As the future of commerce unfolds, each use case interacts holistically to transform the customer journey from end-to-end–for customers, for employees, and for their partners. By using machine learning algorithms and big data analytics, AI can uncover patterns, correlations and trends that might escape human analysts.

B2B 58