Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
    big data and remote work
    Data Helps Speech-Language Pathologists Deliver Better Results
    6 Min Read
    data driven insights
    How Data-Driven Insights Are Addressing Gaps in Patient Communication and Equity
    8 Min Read
    pexels pavel danilyuk 8112119
    Data Analytics Is Revolutionizing Medical Credentialing
    8 Min Read
    data and seo
    Maximize SEO Success with Powerful Data Analytics Insights
    8 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Smart Grid: Overcoming Data Exchange to Increase Efficiency
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > IT > Hardware > Smart Grid: Overcoming Data Exchange to Increase Efficiency
Data ManagementHardwareIT

Smart Grid: Overcoming Data Exchange to Increase Efficiency

ScottAllen
ScottAllen
4 Min Read
Smart Grid
SHARE

Recent research estimates that the Smart Grid will be a $120 Billion industry by 2020. As Industrial IoT (IIoT) drives digital transformation for utilities, there are a fair share of challenges and opportunities facing the Smart Grid industry today.

Contents
The Convergence ChallengeGoing DigitalSmart Sensor Boom

To keep up with rapid growth and new technology that is shaping the utility markets, in particular, Smart Grid decision makers must continue to improve efficiency. This allows the organization to leverage better data and make smart business decisions that align with an increasingly connected infrastructure.

The Convergence Challenge

In utilities markets, the IT/OT divide is rapidly shrinking, revealing significant challenges between the two groups. OT and IT each come to the convergence line with functional and operational differences, yet the changing technology landscape makes it impossible to avoid the inevitable meshing of the two formerly disparate organizations.

As Smart Grid decision makers adjust to this shift, strong communication between teams will be essential –  as well as careful selection of technology. For example, if utilities can work to integrate their legacy systems on the OT side with the more modern IT systems through a carefully selected communication solution, the Smart Grid will become more efficient, leading to better business decisions, as well as improved system operations and overall visibility.

More Read

Image
The Economic Impact of Cloud Goes Beyond Business Cost Savings
7 Habits of Highly Successful Big Data Pioneers
Alteryx Advances the Process of Customer Analytics
What is Data Governance?
How to Deliver a Data Science Project Successfully

Going Digital

IT/OT convergence, coupled with the new digital landscape has also driven Smart Grid organizations to reorganize under IT and address new technology challenges from a jobs perspective. Utilities are facing an aging, traditional workforce on the OT side coming head-to-head with a new digital-centric workforce on the IT side. For Smart Grid organizations, it is essential to find the balance between hiring new technology savvy talent and nurturing existing staff.

IoT will continue to drive automation, as Smart Grid decision makers either upgrade their legacy systems or figure out how to connect existing ones. We may see an increase in privately funded secondary education programs designed to create a more skilled workforce. If decision-makers embrace the inevitable shift to digital, they will not only see the impact on efficiency, but they will stay competitive in an IoT-driven market.

Smart Sensor Boom

IoT sparked a digital technology shift that resulted in the proliferation of Smart Sensors. Now utilities are able to monitor and transfer critical data from any asset – from the network Edge back to the central office. The demand for sensors hasn’t slowed – research is pointing towards continued and substantial growth in the Smart Sensor market between now and 2021.

As sensors bring connectivity to more endpoints than ever before, utility decision makers are able to obtain detailed data for Advanced Metering Infrastructure (AMI) and Distribution Automation (DA) networks. With rugged wireless solutions, the sensor data is readily available in real-time for IT decision makers. The unrestricted access to data from all network endpoints forces decision makers to shift their focus from Big Data to Smart Data – the data that matters most to the business. It also drives the need for real-time analytics in order to streamline operations. This not only simplifies the convergence issue, but it drives Smart Grid efficiency.

There are many factors contributing to the efficiency of the Smart Grid. While some initially present themselves as challenges, increasing connectivity and digital transformation gives decision makers better data, connect more field assets and enable more opportunities to benefit the business.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

image fx (2)
Monitoring Data Without Turning into Big Brother
Big Data Exclusive
image fx (71)
The Power of AI for Personalization in Email
Artificial Intelligence Exclusive Marketing
image fx (67)
Improving LinkedIn Ad Strategies with Data Analytics
Analytics Big Data Exclusive Software
big data and remote work
Data Helps Speech-Language Pathologists Deliver Better Results
Analytics Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Business (NOT) as Usual: 3 Big Business Intelligence Predictions for 2015

6 Min Read

CTO Security Report

7 Min Read

Recent Hacks Raise Questions Over Big Data Safety

3 Min Read
types of data masking
Big DataExclusiveSecurity

Your Guide To Understanding Various Types of Data Masking

4 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?