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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. This is the first in a six-part blog series that outlines the data journey from edge to AI and the business value data produces along the journey. Fig 1: The Enterprise Data Lifecycle.

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Digital Transformation Focused on Sustainability

Cloudera

My inspiration for writing this blog was a recent trip to a warehouse and distribution center of a well-known U.S. Cloudera’s customers and partners are among the corporations that are successfully implementing digital transformation initiatives with sustainability in mind. Maximizing efficiencies in aquaponics.

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The impact of AI on edge computing

CIO Business Intelligence

Bandwidth optimization. This optimization improves efficiency and reduces costs. Read more about the impacts AI at the edge is predicted to have on the manufacturing industry in this recent blog. Dell Technologies is leading the way with the technology needed to build a future-ready, optimized edge. Security and privacy.

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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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Using Artificial Intelligence to Make Sense of IoT Data

BizAcuity

IoT is basically an exchange of data or information in a connected or interconnected environment. As IoT devices generate large volumes of data, AI is functionally necessary to make sense of this data. IoT and AI together make this context, i.e. ‘connected intelligence’ from connected devices. Bringing the power of AI to IoT.

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Google Cloud data engineering, analytics systems target manufacturers

CIO Business Intelligence

Nearly two-thirds of manufacturers globally already use cloud solutions, according to consulting firm McKinsey, and marketing intelligence company ReportLinker reports that the global smart factory market — consisting of companies using technology such as IoT — is expected to reach $214.2 billion by 2026.