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The Future Of The Telco Industry And Impact Of 5G & IoT – Part 1

Cloudera

Technology like IoT, edge computing and 5G are changing the face of CSPs. Communication Service Providers (CSPs) are in the middle of a data-driven transformation. It is currently at 0.3% (2016-2018) down from 6% in the period from 2010 – 2012, and this is now no longer where they are seeing the future growth and potential.

IoT 92
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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly on Data

In practice this means developing a coherent strategy for integrating artificial intelligence (AI), big data, and cloud components, and specifically investing in foundational technologies needed to sustain the sensible use of data, analytics, and machine learning. Machine Learning model lifecycle management.

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How To Use Data Analytics To Launch A Sustainable Technology Business

Smart Data Collective

You probably wouldn’t think that data analytics would be the core solution. Many people believe that the fields of big data and green business have little overlap. However, big data could actually be a wonderful solution for many sustainability problems. Big Data Helps Meet UN Climate Targets.

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The Future Of The Telco Industry And Impact Of 5G & IoT – Part 1

Cloudera

Technology like IoT, edge computing and 5G are changing the face of CSPs. Communication Service Providers (CSPs) are in the middle of a data-driven transformation. It is currently at 0.3% (2016-2018) down from 6% in the period from 2010 – 2012, and this is now no longer where they are seeing the future growth and potential.

IoT 66
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Telecom Network Analytics: Transformation, Innovation, Automation

Cloudera

Advanced predictive analytics technologies were scaling up, and streaming analytics was allowing on-the-fly or data-in-motion analysis that created more options for the data architect. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.

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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

Moreover, rapid and full adoption of analytics insights can hit speed bumps due to change resistance in the ways processes are managed and decisions are made. In the long run, we see a steep increase in the proliferation of all types of data due to IoT which will pose both challenges and opportunities.

Insurance 250
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Three Trends for Modernizing Analytics and Data Warehousing in 2019

Cloudera

Data analytics priorities have shifted this year. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Natural language analytics and streaming data analytics are emerging technologies that will impact the market.