Technology Archives - Page 3 of 11 - Utility Analytics Institute

Grid Technology

What Deep Learning Can Teach Utilities

How Duke Energy is gaining insight from self-organizing maps, a form of deep learning. Duke Energy has a reputation for deploying analytics to solve business problems. The Data Science role at Duke was defined in 2014, with the…

Jill FeblowitzNovember 8, 2019

Customer Grid Strategy Technology

Top Analytics Trends and Use Cases Showcased at Utility Analytics Week 2019

Overall utility industry analytics maturity has increased substantially when compared to the first Utility Analytics Week nine years ago. This year’s presentations covered the use of machine learning (ML), artificial intelligence (AI), natural language processing (NLP), deep learning…

Kim GaddyNovember 1, 2019

Technology

Energy IoT Platforms Cut Complexity, Speed Up Deployments

Defining an energy IoT platform may be tricky, but the need for these bundles is unmistakable. “Complexity” may be an arguable concept, but anyone who’s been through an energy IoT implementation probably has a deeper understanding of the…

Rich CastagnaOctober 15, 2019

Customer Technology

The Answer to CIS Shortcomings: CRM or Analytics?

Is CRM investment worth it? Traditional customer information systems (CISs) are billing engines that were built to process meter data and send the appropriate information to the billing department for processing. These systems also grew to include the…

Vanessa EdmondsSeptember 19, 2019

Strategy Technology

Don’t let Smart Contracts Outsmart You: A Legal Perspective

Leonard Tillman is a partner in Balch & Bingham LLP’s energy practice In the future, Smart Contracts utilizing blockchain are expected to autonomously enable billions of transactions among power producers and transporters, consumers, vendors, service providers and even…

Leonard TillmanSeptember 11, 2019

Technology

AI’s Action and Impact on the Energy Sector

How do we manage the largest machine ever built? The first time I walked into an electric T&D control center was about a decade ago. With a smartphone in my pocket and a laptop in my bag, I…

Jim BullockSeptember 5, 2019

Technology

Community a major caveat to successful open-source model adoption

Open-source analytical models abound, but having a dedicated community is essential. In More to open-source than you think, the ABCs of open source were described in the utility context. While “open-source” is being used to describe developer tools,…

Jill FeblowitzAugust 27, 2019

Asset & Workforce Technology Webinars

On-Demand: Combining AI and Analytics to Address the High Costs and Inefficiencies of Vegetation Management

Vegetation Management has always been a critical function for utilities. It is, however, increasingly top of mind with company executives looking to mitigate the escalating costs and risks posed by vegetation. Due to economic and logistical challenges, utilities…

Lauren CallawayAugust 21, 2019

Grid Strategy Technology

CapX2020 utilities to study transmission grid’s ability to support ambitious carbon reduction goals

Upper Midwest regional utilities are embarking on a cross-state effort to establish a transmission investment approach. Midwest consortium CapX2020 utilities announced yesterday that they will study the Upper Midwest transmission network to identify system improvements and infrastructure upgrades…

Lauren CallawayAugust 20, 2019

Technology

It’s been a good year for Blockchain in energy

After a few years of hype, a lot of questioning and a handful of disappointments, Blockchain is starting to make some inroads into energy and utilities. Once upon a time, Hervé Touati worked as an executive at Shell…

Gordon FellerAugust 15, 2019

Technology

5G and power grid singularity—not if, but when

5G is not just a fatter pipe. It is a much smarter, more capable one that will transform how data is managed in the field. But utilities need to start preparing now. I’ve written previously about how 5G…

Richelle ElbergAugust 13, 2019

Strategy Technology

Tom Siebel’s data-driven approach to digital transformation: part 1

Tom Siebel, CEO of C3.ai, weighs in on a data-driven, strategy-first approach. “Putting the cart before the horse”, a cliché’ we inherited from the Greeks, means that the action that should come second is prioritized first. This approach…

Vanessa EdmondsAugust 8, 2019

Technology

What Deep Learning Can Teach Utilities

Top Analytics Trends and Use Cases Showcased at Utility Analytics Week 2019

Energy IoT Platforms Cut Complexity, Speed Up Deployments

The Answer to CIS Shortcomings: CRM or Analytics?

Don’t let Smart Contracts Outsmart You: A Legal Perspective

AI’s Action and Impact on the Energy Sector

Community a major caveat to successful open-source model adoption

On-Demand: Combining AI and Analytics to Address the High Costs and Inefficiencies of Vegetation Management

CapX2020 utilities to study transmission grid’s ability to support ambitious carbon reduction goals

It’s been a good year for Blockchain in energy

5G and power grid singularity—not if, but when

Tom Siebel’s data-driven approach to digital transformation: part 1

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