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Minimizing Supply Chain Disruptions with Advanced Analytics

Cloudera

Advanced analytics and enterprise data empower companies to not only have a completely transparent view of movement of materials and products within their line of sight, but also leverage data from their suppliers to have a holistic view 2-3 tiers deep in the supply chain. Digital Transformation is not without Risk.

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2020 Data Impact Award Winner Spotlight: United Overseas Bank

Cloudera

Despite the challenges, 2020 also provided positive opportunities for forward leaps to be made in the realm of digital transformation. At Cloudera, an example of this leap is our first virtual Data Impact Awards , which was held in November last year. . Creating a digital-focused workforce .

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How Encored Technologies built serverless event-driven data pipelines with AWS

AWS Big Data

Encored develops machine learning (ML) applications predicting and optimizing various energy-related processes, and their key initiative is to predict the amount of power generated at renewable energy power plants. In addition to these benefits, Lambda allows you to configure ephemeral storage (/tmp) between 512–10,240 MB.

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How to choose the best AI platform

IBM Big Data Hub

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

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Four Ways Telcos Can Realize Data-Driven Transformation

Cloudera

Telecommunications companies are currently executing on ambitious digital transformation, network transformation, and AI-driven automation efforts.

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How to Choose the Best Analytics Platform, and Empower Business-Driven Analytics

Grooper

ISL is also the foundation for the process of transforming data into wisdom and successful master data management. Fear of disruption and growing digital transformation initiatives have created a demand for business-driven analytics. Applied analytics Business analytics Machine learning and data science.

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How to build a successful hybrid cloud strategy

IBM Big Data Hub

Identify the current and emerging business and technology challenges that a hybrid cloud approach could address and allow you to achieve digital transformation without significant disruption or downtime. Developer productivity : Enable DevOps and other teams to collaborate with greater agility and velocity.