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Monitoring the dark web to identify threats to energy sector organizations

Security Affairs

Searchlight Cyber researchers warn of threat actors that are offering on the dark web access to energy sector organizations. Dark web intelligence firm Searchlight Cyber published a report that analyzes how threat actors in the dark web prepare their malicious operations against energy organizations.

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Merging top-down and bottom-up planning approaches

IBM Big Data Hub

This blog series discusses the complex tasks energy utility companies face as they shift to holistic grid asset management to manage through the energy transition. The first post of this series addressed the challenges of the energy transition with holistic grid asset management.

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How green is your application delivery software?

OpenText Information Management

Your digital carbon footprint includes emissions from the software delivery process--planning, coding, building, testing, release--in addition to energy consumed from customer use. Decrease your individual energy output with automated tests executed on the cloud. Maximize resource efficiency through what-if analysis scenario planning.

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What is vibration analysis and how can it help optimize predictive maintenance?

IBM Big Data Hub

Vibration analysis (or vibration monitoring) is a powerful diagnostic tool for identifying, monitoring and preventing mechanical failures in rotating and reciprocating machinery. At its core, vibration analysis is the study of the oscillatory motions of machines and their components around an established equilibrium point.

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Utilities Digital Journey Insights (Part 5): Utilities decentralize organizational models to meet consumer needs

CGI

Utilities Digital Journey Insights (Part 5): Utilities decentralize organizational models to meet consumer needs. To gain the true value of digital transformation, utilities are embracing more dynamic and autonomous organizational structures that enable them to make decisions closer to the customer. Wed, 03/27/2019 - 03:33.

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Examples and uses of GIS

IBM Big Data Hub

GIS perform spatial analysis of geospatial datasets—consisting of vector data (points, lines and polygons) and raster data (cells with spatial information)—to produce connected visualizations. The data from this soil and water analysis helps farmers improve yields while reducing costs and pollution runoff.

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Unleashing the potential: 7 ways to optimize Infrastructure for AI workloads 

IBM Big Data Hub

In this blog, we’ll explore seven key strategies to optimize infrastructure for AI workloads, empowering organizations to harness the full potential of AI technologies. Leveraging distributed storage and processing frameworks such as Apache Hadoop, Spark or Dask accelerates data ingestion, transformation and analysis.