[Kevin Praet (Adm)]

Hey @Bob Keller,

Thanks for reaching out and I’m sorry you’ll be unable to attend tomorrow! We will be recording this session and I’ll be providing a link to both the recording and presentation material later this week. If you have any questions in the meantime please reach out to me at kpraet@utilityanalytics.com.

Thanks again!​

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————
——————————————-
Original Message:
Sent: 10-24-2022 14:37
From: Bob Keller
Subject: Final Reminder! Tomorrow’s (October 25) Community Conversation + Teams Link

Kevin,
Will this be recorded?  I have to be in another meeting (mandatory) and will not be able to attend.

Thank You
Bob Keller

——————————
Bob Keller
Senior Safety & HP Lead
Nebraska Public Power District
——————————

Original Message:
Sent: 10-24-2022 14:15
From: Kevin Praet
Subject: Final Reminder! Tomorrow’s (October 25) Community Conversation + Teams Link

Hello Safety Analytics Community Members,

I hope all is well! I just wanted to send one final reminder for tomorrow’s Safety Analytics Community Conversation (Tuesday, October 25 at 2:00 PM CT) where we have an exciting discussion planned around, “A Paradigm Shift in Safety” led by Tony Klutz, Senior Industrial Hygienist at Avista.

I’ve updated our existing calendar placeholder with our Microsoft Teams credentials and included below for your reference. In addition, I’ve also attached the placeholder to this message for easy download. If anyone does not have on their calendars or are having trouble downloading the placeholder please reach out to me at kpraet@utilityanalytics.com.

Microsoft Teams meeting

Join on your computer, mobile app or room device

Click here to join the meeting

Meeting ID: 233 233 726 957
Passcode: 4nzaHn

Download Teams | Join on the web

Or call in (audio only)

+1 920-393-6243,,486412138#   United States, Green Bay

Phone Conference ID: 486 412 138#

Find a local number | Reset PIN

Learn More | 19_meeting_NGQ2ZWUwMGQtYzVlYS00MGM0LTgwYmYtY2M2YjM5YTM5Y2Nj@thread.v2&messageId=0&language=en-US” target=”_blank” rel=”noopener”>Meeting options

_____________________________________________________________________________________________________________________________________________

Thanks and I look forward to connecting tomorrow!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————

[Kevin Praet (Adm)]

Hello Asset Health Analytics Community Members,

I hope all is well! We are one week away from our October (2022) Asset Health Analytics Community Conversation and want to get you excited about the session taking place. On Wednesday, October 26th at 2:00 PM CT, we’ll be joined by Aaron Arzaga, Sr. Analyst – Data Science and Business Intelligence at El Paso Electric Company who will be leading a presentation with Q&A and open discussion around, “How El Paso Electric got in GEAR.” As this discussion will be interactive, we encourage you to come prepared with questions and your insight.

Learn more about this session and our speaker below!

Session Description:

This session will be an overview of the journey El Paso Electric has taken to transform, automate and promote data and analytics legitimacy through process transformation in Power Generation.

Session Takeaways:

– Start with a ‘sample version’ of an analytics platform to establish data and analytics legitimacy

– Identify opportunities for process improvement and leverage enterprise BI tools

– Overcoming the ‘we don’t understand what you are going to do with data’ feedback.

Speaker: Aaron Arzaga, Sr. Analyst – Data Science and Business Intelligence (El Paso Electric Company)

Aaron Arzaga has been with El Paso Electric for 12.5 years. Throughout those years he has gained experience in Financial Systems support, accounting, regulatory support, and most recently supporting the advancement of Analytics throughout the EPE enterprise. Aaron is most recently completing El Paso Electric’s GEAR (Generation Event Application Recorder) project, which includes the automation and visualization of their safety data for EPE’s Power Generation Department. 
__________________________________________________________________________________________________________________________________________________

A calendar placeholder for this community conversation was sent out via my alternate email address (kpraet@sg.utilityanalytics.com). I’ve noticed these invites can sometimes be flagged as spam, so please check your junk folders if you’re not seeing right away. For your convenience I have also attached the placeholder to this message as an easy download. If you are not seeing a placeholder on your calendar for Wednesday, October 26 at 2:00 PM CT, or are having trouble downloading the placeholder from this message, please reach back out to me so I can be sure you are forwarded the invite an alternate way.

Thanks and I look forward to connecting next week!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————
——————————————-
Original Message:
Sent: 10-05-2022 10:01
From: Kevin Praet
Subject: Upcoming October (2022) Community Conversation

Hello Asset Health Analytics Community Members,

I hope all is well! With October just kicking off, I wanted to reach out and get you excited for our October (2022) Asset Health Analytics Community Conversation. On Wednesday, October 26 at 2:00 PM CT, we’ll be joined by Aaron Arzaga, Sr. Analyst – Data Science and Business Intelligence at El Paso Electric Company who will be leading a presentation with Q&A and open discussion around, “How El Paso Electric got in GEAR.” I’ll be providing more information on this session, including our Microsoft Teams credentials, one week prior to our meeting but you can always learn more about each of our upcoming Community Conversations on our Events Page HERE.

If you have any questions in the meantime please reach out to me at kpraet@utilityanalytics.com.

Thanks!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————

[Kevin Praet (Adm)]

Hello Safety Analytics Community Members,

I hope all is well! We are one week away from our October (2022) Safety Analytics Community Conversation and want to get you excited about the session taking place. On Tuesday, October 25th at 2:00 PM CT, we’ll be joined by Tony Klutz, Senior Industrial Hygienist at Avista who will be leading a discussion around, “A Paradigm Shift in Safety.” As this discussion will be interactive, we encourage you to come prepared with questions and your insight.

Learn more about this session and our speaker below!

Session Description:

During the August 2022 session, Mike Quashne at BGE (An Exelon company) presented on “Energy-Based Safety and Analytics”, which included exploration of the definitions of Energy-Based Safety leveraging the EEI Safety Classification and Learning Model (SCL). The presentation covered an actual working model from the EEI Safety Classification and Learning Model (SC&L).

During our October session, Tony Klutz at Avista will present on the “back story” on why the EEI Safety Classification and Learning (SC&L) model is being developed.

Through the combined efforts of workers, employers, safety organizations and trade groups, the rate of recordable injuries has decreased over the past 10+ years. Unfortunately, the decrease in the more serious lost time injury rate has not followed the same pattern. This difference has led to further research looking at the assumptions behind the “Heinrich’s Safety Triangle”. The theory behind the triangle is to reduce the number of “Unsafe Acts” at the base of the triangle, which will shrink the number of fatalities at the top of the triangle.

Over the past few years recent research has shown that certain types of injuries have a higher potential to cause a serious injury or fatality (SIF). This has lead to a new way of reviewing injuries with an eye toward SIF potential. The Edison Electric Institute working with Dr. Matt Hallowell of the University of Colorado has developed the Safety Classification and Learning (SCL) model as a tool to review injuries and near misses with the goal of gaining as much knowledge as possible from certain types of injuries.

Further research in this area also includes the development of Precursors, Direct Controls and Leading Indicators. All of this has led to an entirely new view of the Heinrich Safety Triangle.

Speaker: Tony Klutz, Senior Industrial Hygienist (Avista)

Tony Klutz is the Senior Industrial Hygienist at Avista Utilities. He has been with Avista for 9 years. Prior to Avista, Tony worked for Itron and predecessor companies. Tony has worked in a variety of occupations over the years including Research and Development, Manufacturing Engineering and Health Safety and Environment.

Tony holds a bachelor’s degree in chemistry and physics from King’s College in Wilkes-Barre, Pennsylvania, Masters of Science in Materials Engineering from Rensselaer Polytechnic Institute and a Master of Business Administration from Clemson University, Clemson, South Carolina.
______________________________________________________________________________________________________________________________________________

A calendar placeholder for this community conversation was sent out via my alternate email address (kpraet@sg.utilityanalytics.com). I’ve noticed these invites can sometimes be flagged as spam, so please check your junk folders if you’re not seeing right away. For your convenience I have also attached the placeholder to this message as an easy download. If you are not seeing a placeholder on your calendar for Tuesday, October 25 at 2:00 PM CT, or are having trouble downloading the placeholder from this message, please reach back out to me so I can be sure you are forwarded the invite an alternate way.

Thanks and I look forward to connecting next week

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————
——————————————-
Original Message:
Sent: 10-05-2022 16:10
From: Kevin Praet
Subject: Upcoming October (2022) Community Conversation

Hello Safety Analytics Community Members,

I hope all is well! With October just kicking off, I wanted to reach out and get you excited for our October (2022) Safety Analytics Community Conversation. On Tuesday, October 25 at 2:00 PM CT, we’ll be joined by Tony Klutz, Senior Industrial Hygienist at Avista who will be leading a discussion around, “A Paradigm Shift in Safety.” I’ll be providing more information on this session, including our Microsoft Teams credentials, one week prior to our meeting but you can always learn more about each of our upcoming Community Conversations on our Events Page HERE.

If you have any questions in the meantime please reach out to me at kpraet@utilityanalytics.com.

Thanks!​​

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————

[Kevin Praet (Adm)]

Hello Grid Analytics Community Members,

I hope all is well! We are one week away from our in-person October (2022) Grid Analytics Community Conversation (co located at UA Week) and want to get you excited about the session taking place. On Tuesday, October 18 at 2:15 PT, we will feature a two part session hitting on the following areas:

Part 1: “Outage Prediction Using DA Devices and Fault Sensors” – Presentation with Q&A and open discussion led by Tom Mahar, Data Scientist at ComEd.

Part 2: “Which provides more value to the business: dashboard analytics vs. machine learning/deep learning?” – Tabletop Exercise: Debate (Facilitated by UAI Staff)

Learn more about this session and our speaker below!

Session Description:

PART 1: Join the Grid Analytics Community on Tuesday, October 18, 2022 during UA Week in San Diego, CA for a presentation with Q&A and open discussion on “Outage Prediction Using DA Devices and Fault Sensors ” with Tom Mahar, Data Scientist at ComEd.

ComEd has developed an algorithm and visualization tool that finds areas of repeat fault activity for field inspection. Certain faults tend to be repetitive such as improperly tensioned spans that slap together in the wind. By identifying these fault signatures and correcting the issue future outages can be prevented.

Session Takeaways:

– How to identify frequent fault zones

– Tips when trying to identify potential problems and sift through noise

– Know the signs of damage that indicate a problem exists

PART 2: Join the Grid Analytics Community on Tuesday, October 18, 2022 at UA Week in San Diego to participate in a debate. Attendees will be split into two groups where they will work together to draft up an argument, for vs. against, to defend an important analytics topic or situation. Each group will have 20 minutes to work collaboratively to draft their argument and select a presenter(s) from within their group, and then each group will have 10 minutes to share their views (a fast paced 40 minutes).

Be prepared to exercise your innovative thinking and come with an open mind, as you may be purposefully put on the “for” team when you are actually “against” it and vice versa to help you think constructively to promote further development and advancement. Ultimately, we want to help you meet more people during this timeframe, take part in an interesting, informative, and collaborative activity, and most importantly to have some fun. The topic for the Grid Analytics Community is “Which provides more value to the business: dashboard analytics vs. machine learning/deep learning?”.

Speaker: Tom Mahar, Data Scientist (ComEd)

Tom Mahar is a Data Scientist at ComEd. Tom holds his bachelor’s degree in engineering from the University of Illinois Urbana Champaign and has 10 years’ experience in the electrical utilities space. His current work focuses on utilizing analytics to make the distribution system more reliable and he also has extensive experience in distribution system planning and design. Tom has implemented several successful use cases at ComEd; including machine learning models for prioritizing asset replacements and field verified outage prediction models. Tom believes utilities can deliver value to customers by focusing on practical applications for data and by embracing a DIY approach. 
________________________________________________________________________________________________________________________________________________

Please note this session will only be taking place live at UA Week, no virtual option will be available. If you plan on joining this session, but have not yet registered for UA Week, you can do so using the link HERE.

If you have any questions please let us know.

Thanks!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————
——————————————-
Original Message:
Sent: 10-05-2022 15:56
From: Kevin Praet
Subject: Upcoming October (2022) Community Conversation

Hello Grid Analytics Community Members,

I hope all is well! With October just kicking off, I wanted to reach out and get you excited for this month’s Community Conversation taking place LIVE and in-person, Tuesday October 18 at 2:15 PM PT at Utility Analytics Week. This in-person session will feature two exciting parts:

Part 1: “Outage Prediction Using DA Devices and Fault Sensors” – Presentation with Q&A and open discussion led by Tom Mahar, Data Scientist at ComEd.

Part 2: “Which provides more value to the business: dashboard analytics vs. machine learning/deep learning?” – Tabletop Exercise: Debate (Facilitated by UAI Staff)

*Please note this session will only be taking place live at UA Week, no virtual option will be available. If you plan on joining this session, but have not yet registered for UA Week, you can do so using the link below.

Register For Utility Analytics Week: https://www.utilityanalyticsweek.com/2022/registration

I’ll be providing more information on this session one week prior but you can always learn more about our upcoming Community Conversations on our Events Page HERE.

If you have any questions in the meantime please reach out to me at kpraet@utilityanalytics.com.

 

Thanks!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————

[Kevin Praet (Adm)]

Hello Natural Gas Analytics Community Members,

I hope all is well! We are one week away from our in-person October (2022) Natural Gas Analytics Community Conversation (co located at UA Week) and want to get you excited about the session taking place. On Tuesday, October 18 at 2:15 PT, we will feature a two part session hitting on the following areas:

Part 1: Interactive “Solve My Problem” session led by Kaleb Thompson, Data Science Supervisor at ONE Gas.

• Come prepared to discuss the following “problems” during this session:
  
  • Problem #1: Use of internal utility data vs external utility data – what will the future of customer data look like? If you could have access to any external data, what kind of use cases would it enable
  • Problem #2: What is your strategy for facilitating idea generation and innovation within your utility? Starting at the analysts level, do analysts feel heard (some of the best ideas in the company are generated by analysts)?

Part 2: “Analytics Ethics, things like measuring performance of employees through AI and tracking information on customers for profiling” – Tabletop Exercise: Debate (Facilitated by UAI Staff)

Learn more about this session and our speaker below!

Session Description:

Part 1: The interactive “Solve My Problem” workshop will be facilitated by Kaleb Thompson, Data Science Supervisor at OneGas. This session will be use to brainstorm solutions on strategic problemsand has been designed with input directly from members of the Community.

The “Solve My Problem” session will be delivered in a way that will encourage partnered collaboration between members to come up with solutions and/or action plans to help members solve real-time “problems”. During conversations about the “problems”, we encourage members to showcase their successes, share experiences and lessons learned. We encourage open, interactive dialogue throughout the exercise to create a vibrant and collaborative environment, and to ensure everyone in attendance receives an opportunity to voice their opinions and ideas. The ultimate goal is that you gain valuable insights from the supportive and knowledgeable group of peers meeting during this Community Conversation.

Come prepared to discuss the following “problems” during this session:

– Problem #1: Use of internal utility data vs external utility data – what will the future of customer data look like? If you could have access to any external data, what kind of use cases would it enable

– Problem #2: What is your strategy for facilitating idea generation and innovation within your utility? Starting at the analysts level, do analysts feel heard (some of the best ideas in the company are generated by analysts)?

Part 2: Attendees will be split into two groups where they will work together to draft up an argument, for vs. against, to defend an important analytics topic or situation. Each group will have 20 minutes to work collaboratively to draft their argument and select a presenter(s) from within their group, and then each group will have 10 minutes to share their views (a fast paced 40 minutes).

Be prepared to exercise your innovative thinking and come with an open mind, as you may be purposefully put on the “for” team when you are actually “against” it and vice versa to help you think constructively to promote further development and advancement. Ultimately, we want to help you meet more people during this timeframe, take part in an interesting, informative, and collabortive activity, and most importantly to have some fun. The debate topic for the Natural Gas Analytics Community is Analytics Ethics, things like measuring performance of employees through AI and tracking information on customers for profiling (scraping social media accounts, taps into phones, etc.).
________________________________________________________________________________________________________________________________________________

Speaker: Kaleb Thompson, Data Science Supervisor (ONE Gas)

Kaleb Thompson is an analytics professional who has worked at ONE Gas for over six years in a variety of roles such as Data Engineer, Data Scientist and now supports the advanced analytics efforts at ONE Gas.
___________________________________________________________________________________________________________________________________________________

Please note this session will only be taking place live at UA Week, no virtual option will be available. If you plan on joining this session, but have not yet registered for UA Week, you can do so using the link HERE.

If you have any questions please let us know.

Thanks!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————
——————————————-
Original Message:
Sent: 10-05-2022 16:05
From: Kevin Praet
Subject: Upcoming October (2022) Community Conversation

Hello Natural Gas Analytics Community Members,

I hope all is well! With October just kicking off, I wanted to reach out and get you excited for this month’s Community Conversation taking place LIVE and in-person, Tuesday October 18 at 2:15 PM PT at Utility Analytics Week. This in-person session will feature two exciting parts:

Part 1: Interactive “Solve My Problem” session led by Kaleb Thompson, Data Science Supervisor at ONE Gas.

• Come prepared to discuss the following “problems” during this session:
  
  • Problem #1: Use of internal utility data vs external utility data – what will the future of customer data look like? If you could have access to any external data, what kind of use cases would it enable
  • Problem #2: What is your strategy for facilitating idea generation and innovation within your utility? Starting at the analysts level, do analysts feel heard (some of the best ideas in the company are generated by analysts)?

Part 2: “Analytics Ethics, things like measuring performance of employees through AI and tracking information on customers for profiling” – Tabletop Exercise: Debate (Facilitated by UAI Staff)

*Please note this session will only be taking place live at UA Week, no virtual option will be available. If you plan on joining this session, but have not yet registered for UA Week, you can do so using the link below.

Register For Utility Analytics Week: https://www.utilityanalyticsweek.com/2022/registration

I’ll be providing more information on this session one week prior but you can always learn more about our upcoming Community Conversations on our Events Page HERE.

If you have any questions in the meantime please reach out to me at kpraet@utilityanalytics.com.

 

Thanks!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————

[Kevin Praet (Adm)]

Hello Enterprise Analytics Community Members,

I hope all is well! We are one week away from our in-person October (2022) Enterprise Analytics Community Conversation (co located at UA Week) and want to get you excited about the session taking place. On Tuesday, October 18 at 2:15 PT, we will feature a two part session hitting on the following areas:

Part 1: “Successful Strategy through Data Mesh for Data Driven Utilities” – Presentation with Q&A and open discussion led by Umesh Sawnani, Enterprise Architect (Sempra Utilities) and Angela White Parker, Enterprise Information Architect (SoCal Gas).

Part 2: “Data First or Business Problem First/ Start with the data or start with business problems?”  – Tabletop Exercise: Debate (Facilitated by UAI Staff)

Learn more about this session and our speakers below!

Session Description:

PART 1: Join the Enterprise Analytics Community on Tuesday, October 18, 2022 in-person at UA Week in San Diego for a presentation with Q&A and open discussion on “Successful Strategy through Data Mesh for Data Driven Utilities” by Umesh Sawnani, Enterprise Architect, Sempra Energy and Angela White Parker, Enterprise Information Architect, SoCalGas.

Data Driven utilities will have significant impact on future of society, their environmental impact and energy security. Productization can unlock the tremendous potential of data through Data Mesh, Service Mesh and well-defined data products. We will share details on some of the key strategies that can help enterprises successfully implement them.

Key strategies for success of Data Mesh & Service Mesh adoption
– Reference Architectures
– Organization and Operating Model Options
– Success criteria

PART 2: Join the Enterprise Analytics Community on Tuesday, October 18, 2022 at UA Week in San Diego to participate in a debate. Attendees will be split into two groups where they will work together to draft up an argument, for vs. against, to defend an important analytics topic or situation. Each group will have 20 minutes to work collaboratively to draft their argument and select a presenter(s) from within their group, and then each group will have 10 minutes to share their views (a fast paced 40 minutes).

Be prepared to exercise your innovative thinking and come with an open mind, as you may be purposefully put on the “for” team when you are actually “against” it and vice versa to help you think constructively to promote further development and advancement. Ultimately, we want to help you meet more people during this timeframe, take part in an interesting, informative, and collaborative activity, and most importantly to have some fun. The topic for the Enterprise Analytics Community is “Data First or Business Problem First/ Start with the data or start with business problems?

Speaker: Umesh Sawnani, Enterprise Architect (Sempra Utilities)

Umesh Sawnani is Enterprise Architect at Sempra Energy and an accomplish leader with demonstrated success in driving data driven digital solutions. Umesh has over 22 years of experience helping organizations aligning Business and IT strategies, defining information architecture, digital strategies and leading key strategic programs at various industries including Utilities, Auto, Insurance and start-ups. 

Speaker: Angela White Parker, Enterprise Information Architect (SoCal Gas)

As an Enterprise Architect, Angela’s role is to align business needs and strategies with technology frameworks and architected solutions.  Focusing on Enterprise Information Management (EIM) disciplines, she is a key change agent assisting her company transition to a data-centric culture and building data management maturity within Southern California Gas. 
________________________________________________________________________________________________________________________________________________

Please note this session will only be taking place live at UA Week, no virtual option will be available. If you plan on joining this session, but have not yet registered for UA Week, you can do so using the link HERE.

If you have any questions please let us know.

Thanks!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————
——————————————-
Original Message:
Sent: 10-05-2022 15:53
From: Kevin Praet
Subject: Upcoming October (2022) Community Conversation

Hello Enterprise Analytics Community Members,

I hope all is well! With October just kicking off, I wanted to reach out and get you excited for this month’s Community Conversation taking place LIVE and in-person, Tuesday October 18 at 2:15 PM PT at Utility Analytics Week. This in-person session will feature two exciting parts:

Part 1: “Successful Strategy through Data Mesh for Data Driven Utilities” – Presentation with Q&A and open discussion led by Umesh Sawnani, Enterprise Architect (Sempra Utilities) and Angela White Parker, Enterprise Information Architect (SoCal Gas).

Part 2: “Data First or Business Problem First/ Start with the data or start with business problems?”  – Tabletop Exercise: Debate (Facilitated by UAI Staff)

*Please note this session will only be taking place live at UA Week, no virtual option will be available. If you plan on joining this session, but have not yet registered for UA Week, you can do so using the link below.

Register For Utility Analytics Week: https://www.utilityanalyticsweek.com/2022/registration

I’ll be providing more information on this session one week prior but you can always learn more about our upcoming Community Conversations on our Events Page HERE.

If you have any questions in the meantime please reach out to me at kpraet@utilityanalytics.com.

 

Thanks!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————

[Kevin Praet (Adm)]

Hello Customer Analytics Community Members,

I hope all is well! We are one week away from our in-person October (2022) Customer Analytics Community Conversation (co located at UA Week) and want to get you excited about the session taking place. On Tuesday, October 18 at 2:15 PT, we will feature a two part session hitting on the following areas:

Part 1:“Entergy Bill Projection: Predicting Customer Bills using Machine Learning” – Presentation with Q&A and open discussion led by Shraddha Sharma, Sr. Data Scientist at Entergy.

Part 2: “Should we allow customers to opt-in and opt-out to participate in data science programs?” – Tabletop Exercise: Debate facilitated by UAI Staff.

Learn more about this session and our speaker below

Session Description:

Part 1: Join the Customer Analytics Community on Tuesday, October 18, 2022 at UA Week in San Diego, CA for a presentation with Q&A and open discussion on “Entergy Bill Projection: Predicting Customer Bills using Machine Learning” by Shraddha Sharma, Sr. Data Scientist at Entergy.

Entergy utilizes temperature and customer’s past usage patterns to predict electricity and gas bills. This gives customers insights into how their usage might be impacted with increasing/decreasing temperatures and plan accordingly. In this presentation, Shraddha will also briefly talk about the risks/challenges Entergy faced during the implementation process and lessons learned while transitioning from older models to a machine learning model.

Part 2: During the Debate, attendees will be split into two groups where they will work together to draft up an argument, for vs. against, to defend an important analytics topic or situation. Each group will have 20 minutes to work collaboratively to draft their argument and select a presenter(s) from within their group, and then each group will have 10 minutes to share their views (a fast paced 40 minutes).

Be prepared to exercise your innovative thinking and come with an open mind, as you may be purposefully put on the “for” team when you are actually “against” it and vice versa to help you think constructively to promote further development and advancement. Ultimately, we want to help you meet more people during this timeframe, take part in an interesting, informative, and collaborative activity, and most importantly to have some fun. The topic for the Customer Analytics Community is “Should we allow customers to opt-in and opt-out to participate in data science programs? i.e. using their data (some customers are hesitant to opt-in) – using personal data for data science”

Speaker: Shraddha Sharma, Sr. Data Scientist (Entergy)

Shraddha Sharma works as a Sr. Data Scientist at Entergy where she has been working on customer and corporate related use cases. Prior to working t Entergy, Shraddha worked in Insurance, re-insurance, and the telecom domain. Shraddha graduated from the University of Connecticut with a Master’s in Business Analytics and Project Management. She is excited to be part of the UAI Customer Analytics Community. 
__________________________________________________________________________________________________________________________________________________

Please note this session will only be taking place live at UA Week, no virtual option will be available. If you plan on joining this session, but have not yet registered for UA Week, you can do so using the link HERE.

If you have any questions please let us know.

Thanks!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————
——————————————-
Original Message:
Sent: 10-05-2022 10:05
From: Kevin Praet
Subject: Upcoming October (2022) Community Conversation

Hello Customer Analytics Community Members,

I hope all is well! With October just kicking off, I wanted to reach out and get you excited for this month’s Community Conversation taking place LIVE and in-person, Tuesday October 18 at 2:15 PM PT at Utility Analytics Week. This in-person session will feature two exciting parts:

Part 1: Entergy Bill Projection: Predicting Customer Bills using Machine Learning (Presentation with Q&A and open discussion led by Shraddha Sharma, Sr. Data Scientist at Entergy.

Part 2: Tabletop Exercise: Debate (Facilitated by UAI Staff)

*Please note this session will only be taking place live at UA Week, no virtual option will be available. If you plan on joining this session, but have not yet registered for UA Week, you can do so using the link below.

Register For Utility Analytics Week: https://www.utilityanalyticsweek.com/2022/registration

I’ll be providing more information on this session one week prior but you can always learn more about our upcoming Community Conversations on our Events Page HERE.

If you have any questions in the meantime please reach out to me at kpraet@utilityanalytics.com.

 

Thanks!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————

[Kevin Praet (Adm)]

No problem @Kevin happy to help! I just went into your profile and make sure your email is removed from this mail list. As a reminder, email and notification settings can be updated on your profile page by selecting “My Account” and then either “Email Preferences” or “Community Notifications.” If you have any questions or continue to recieve any unwanted communications please send me a note so I can help troubleshoot.

Thanks again!​

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————
——————————————-
Original Message:
Sent: 09-22-2022 18:04
From: Kevin Engler
Subject: Final Reminder! Voting Ends Tomorrow for the Next UAI T Shirt

Kevin –  Will you kindly remove my email address, klengle@nppd.com, from this mail list. 

 

Thanks

 

Kevin Engler

 

 

Original Message:
Sent: 9/22/2022 6:00:00 PM
From: Kevin Praet
Subject: Final Reminder! Voting Ends Tomorrow for the Next UAI T Shirt

Hello UAI Members,

Thanks again for everyone who has taken time to vote on the next UAI T Shirt! We recieved a ton of great submissions and the race is TIGHT. Below I’ve listed our current rankings (1 – 5) based off of your votes on UAI Connect. For anyone who has yet to vote there’s still time! Please reply to this post, or send me a note privately, listing your one true winner no later than tomorrow (Friday, September 23) at 1:00 PM CT. To vote, please refer to our original post HERE and let me know which number you’re going with (please provide me the number in the original post, not the ranking number below)

Have any questions? Reach out to me at kpraet@utilityanalytics.com

Here’s our current ranking!

1st Place:

2nd Place:

3rd Place:

          “I’ve Got Algo Rhythm”
4th Place: (Tied!)

 

Thanks again everyone and we look forward to seeing your final votes!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————

[Kevin Praet (Adm)]

Hello Asset Health Analytics Community Members,

I hope all is well! We are one week away from our September (2022) Asset Health Analytics Community Conversation and want to get you excited about the session taking place. On Wednesday, September 28 at 2:00 PM CT, we’ll be joined by the following speakers from Southern Company who will be leading a discussion around, “Remote Asset Monitoring & Analytics”

– Randy Mullinax, General Manager, Performance & Reliability
– Nathan Ivey,Engineer, Fleet Strategy, Maintenance, Reliability
– Seth Courington, PE, Supervisor, Principal Engineer, Fleet Strategy, Maintenance, & Reliability
– Randy Jones, Manager of Condition Based Maintenance, Machinery Diagnostics, Data Analytics, and the Operations M&D Center

As this discussion will be interactive, we encourage you to come prepared with questions and your insight.

Learn more about this session and our speakers below!

Session Description:

The use of Remote Monitoring via a Monitoring and Diagnostics Center to improve asset health and reliability. During this session, Southern Company will discuss some of the methods and techniques used to assess generation and power delivery/Transmission Equipment. These Include Advanced Pattern Recognition, Data Historian Algorithms, Dashboarding, Event Frames and others.

Speaker: Randy Mullinax, General Manager, Performance & Reliability (Southern Company)

Randy Mullinax is responsible for the Southern Company retail M&D Center, remote operating center, equipment performance testing and maintenance strategy development for the fossil fleet. He is currently leading the Performance and Reliability group‘s effort focused on a digital maintenance program. 

Speaker: Nathan Ivey,Engineer, Fleet Strategy, Maintenance, Reliability (Southern Company)

Nathan Ivey supports Power Delivery in the Operations Monitoring & Diagnostics Center with key roles in data visualization, analytics, and reporting for Power Delivery’s CBM program. He began his career with Southern Company in 2015 as a performance testing engineer. In 2018, he transitioned within Fleet Performance & Reliability to the Data Analytics group supporting the Operations M&D Center, specifically contributing to the monitoring of all major transformers across Generation and implementation of the PI data historian. 

Speaker: Seth Courington, PE, Supervisor, Principal Engineer, Fleet Strategy, Maintenance, & Reliability (Southern Company)

Seth Courington joined Southern Company in 2009 as a co-op in the SCS Generating Plant Performance Testing Group. He began full time at Georgia Power Plant Hammond and held the roles of heat rate and performance engineer, fuel burning and boiler system owner, project engineer, Standards of Excellence coordinator, and Root Cause Analysis coordinator

Speaker: Randy Jones, Manager of Condition Based Maintenance, Machinery Diagnostics, Data Analytics, and the Operations M&D Center (Southern Company)

Randy is the Manager of Condition Based Maintenance, Machinery Diagnostics, Data Analytics, and the Operations M&D Center for Southern Company Generation and Power Delivery. He is a registered Professional Engineer, and a Certified Maintenance & Reliability Professional.
__________________________________________________________________________________________________________________________________________

A calendar placeholder for this community conversation was sent out via my alternate email address (kpraet@sg.utilityanalytics.com). I’ve noticed these invites can sometimes be flagged as spam, so please check your junk folders if you’re not seeing right away. For your convenience I have also attached the placeholder to this message as an easy download. If you are not seeing a placeholder on your calendar for Wednesday, September 28 at 2:00 PM CT, or are having trouble downloading the placeholder from this message, please reach back out to me so I can be sure you are forwarded the invite an alternate way.

Thanks and I look forward to connecting next week!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————
——————————————-
Original Message:
Sent: 09-01-2022 10:02
From: Kevin Praet
Subject: Upcoming September (2022) Community Conversation

Hello Asset Health Analytics Community Members,

I hope all is well! With September just kicking off, I wanted to reach out and get you excited for our September (2022) Asset Health Analytics Community Conversation. On Wednesday, September 28 at 2:00 PM CT, we’ll be joined by the following speakers from Southern Company who will be leading a discussion around, “Remote Asset Monitoring & Analytics:”

– Randy Mullinax, General Manager, Performance & Reliability
– Nathan Ivey,Engineer, Fleet Strategy, Maintenance, Reliability
– Seth Courington, PE, Supervisor, Principal Engineer, Fleet Strategy, Maintenance, & Reliability
– Randy Jones, Manager of Condition Based Maintenance, Machinery Diagnostics, Data Analytics, and the Operations M&D Center

I’ll be providing more information on this session, including our Microsoft Teams credentials, one week prior to our meeting but you can always learn more about each of our upcoming Community Conversations on our Events Page HERE.

If you have any questions in the meantime please reach out to me at kpraet@utilityanalytics.com.

Thanks!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————

[Kevin Praet (Adm)]

Hello Safety Analytics Community Members,

I hope all is well! We are one week away from our September (2022) Safety Analytics Community Conversation and want to get you excited about the session taking place. On Tuesday, September 27 at 2:00 PM CT, we’ll be joined by Chris Stock, Electric Ops Safety Manager at Eversource and Jon Boggiano, Chief Innovation Officer at Everblue and Innovation Process Expert at Eversource who will be leading a discussion around, “Reimagining Safety: From Rote Paper Forms to Dynamic Digital Experiences.” As this discussion will be interactive, we encourage you to come prepared with questions and your insight.

Learn more about this session and our speakers below!

Session Description:

During this session, learn how Eversource is transforming a basic safety tool, the Job Briefing, from a rote paper exercise into a dynamic digital experience. Come learn how following an Innovation/Design Thinking process has led to reimagining the field safety experience for Job Briefings. We aim to bring humanity to the basic form and in doing so promote engagement, improve safety, improve efficiency, and improve reporting. Learn how Eversource benefited from a cross-functional learning group to understand all of the stakeholders involved in job safety and the job briefing. Learn how Eversource evaluated 20+ technologies while prototyping on 3 different platforms before deciding on the most impactful solution. Learn how they plan to utilize the data that this new digital experience unlocks. Eversource started with a “How Might We…” exercise to see how we could make job briefings as serious as a pilot conducting pre-flight checks. We ended with transforming the job briefing from a rote, paper-based process to a dynamic, digitally interactive experience. We made disparate but relevant critical information quicker to access – all in an effort to make the field crew Job Briefing experience simpler, more human, and more engaging.

Session Takeaways:
– Learn dynamic forms can drive engagement and improve safety
– Learn how innovation thinking can help yield better engagement and better technological implementations
– Learn how digitizing the safety experience can facilitate better reporting
– Learn how we can enhance safety by making critical information easier to access
– Learn how Eversource plans to analyze the new streams of data generated by the digital job form experience

Speaker: Chris Stock, Electric Ops Safety Manager (Eversource)

Chris Stock leads the safety programs for multiple Electric Operations & Systems departments at Eversource Energy. He is passionate about innovating safety and improving processes. Prior to Eversource Chris was an Environmental Health & Safety Specialist at Tyco Fire & Security and he served in the US Army, where he managed Multiple Launch Rocket Systems in South Korea. Chris has his Bachelor of Science from Keene State College and his MBA from the University of Phoenix.

Speaker: Jon Boggiano, Chief Innovation Officer (Everblue) and Innovation Process Expert (Eversource)

Jon is Chief Innovation Officer at Everblue where he helps organizations drive efficiency, modernize, and create cultures of innovation. Jon is a serial entrepreneur, leader, and investor who focuses on forging organizations that positively impact the greater good. His twin passions are building things (products, experiences, and companies) and mentoring professionals. Jon serves as a board member and advisor to a number of companies and non-profits.  He holds a BS from the US Military Academy at West Point and an MS from Stanford University. In 2011, the White House recognized Jon as a Champion of Change for his work at Everblue. 

 ________________________________________________________________________________________________________________________________________________

A calendar placeholder for this community conversation was sent out via my alternate email address (kpraet@sg.utilityanalytics.com). I’ve noticed these invites can sometimes be flagged as spam, so please check your junk folders if you’re not seeing right away. For your convenience I have also attached the placeholder to this message as an easy download. If you are not seeing a placeholder on your calendar for Tuesday, September 27 at 2:00 PM CT, or are having trouble downloading the placeholder from this message, please reach back out to me so I can be sure you are forwarded the invite an alternate way.

Thanks and I look forward to connecting next week!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————
——————————————-
Original Message:
Sent: 08-30-2022 17:49
From: Kevin Praet
Subject: Upcoming September (2022) Community Conversation

Hello Safety Analytics Community Members,

I hope all is well! With September just kicking off, I wanted to reach out and get you excited for our September (2022) Safety Analytics Community Conversation. On Tuesday, September 27th at 2:00 AM CT, we’ll be joined by Chris Stock, Electric Ops Safety Manager and Jon Boggiano, Innovation Process Expert at Eversource who will be leading a discussion around, “Reimagining Safety: From Rote Paper Forms to Dynamic Digital Experiences.”  I’ll be providing more information on this session, including our Microsoft Teams credentials, one week prior to our meeting but you can always learn more about each of our upcoming Community Conversations on our Events Page HERE.

If you have any questions in the meantime please reach out to me at kpraet@utilityanalytics.com.

Thanks!​​

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————

[Kevin Praet (Adm)]

Hello Grid Analytics Community Members,

I hope all is well! We are one week away from our September (2022) Grid Analytics Community Conversation and want to get you excited about the session taking place. On Wednesday, September 21 at 1:00 PM CT, we’ll be joined by Cara Gilad, Sr. Data Scientist (Exelon Analytics) and Jeffrey Swiatek, Principal Quant Engineer (PECO T&S Analytics) who will be leading a discussion around, “Substation Transformer Preventative Maintenance Optimization using Machine Learning.” As this discussion will be interactive, we encourage you to come prepared with questions and your insight. 

Learn more about this session and our speakers below!

Session Description:

Utilities have been heavily reliant on subject matter knowledge in the last century to drive PM program and schedule PM for a variety of assets. Our engineers are experts in the industry and have leveraged their and industry knowledge of asset measurements and inspection results to manage these programs, however, as human beings, we are limited in terms of considering a variety of factors and assessing the distribution of each factor. This is where data driven approaches shine and enables SMEs with checking million to billion combinations to come up with the best model to predict future. These models can then be used to supplement engineer knowledge, and support industry-wide acceptance of a systematic approach to transition to condition-based maintenance programs.

Latest model was validated against business-as-usual to provide 85% accuracy using success criteria developed for this project. PECO team is quantifying and confirming the benefits of model output to extract technical and data science success, including that model can be used in the real world “what would be do differently”

Session Takeaways
– Learn how Exelon and PECO T&S and Analytics teams have developed a novel machine learning model to recommend preventative maintenance (PM) for transformers at the right time to replace time-based preventative maintenance.
– Learn about underlying on-premise and cloud analytics platform required to support this work, Exelon’s strong data-driven culture, focus on cross-collaboration and supporting diverse roles to work together to identify, ideate and solve problems.

Speaker: Cara Gilad, Sr. Data Scientist (Exelon Analytics)

Based in Chicago, Cara Gilad is a Sr Data Scientist on the Grid Analytics team at Exelon Utilities. Her current work is focused around safety analytics and modeling. 

Speaker: Jeffrey Swiatek, Principal Quant Engineer (PECO T&S Analytics)

Jeff Swiatek is a Transmission & Substations Principle Quantitative Engineer at PECO – An Exelon Company and has been with PECO for 8 years. His main responsibilities are to develop algorithms and analyses to improve trending and forecasting of equipment health, improve equipment reliability, and optimize maintenance costs.  Previously he served as an Area Maintenance Engineer for the Philadelphia region substations.  Prior to joining PECO Jeff also worked in the Space Systems industry for 8 years and the Semiconductor industry for 5 years.  Jeff holds a B.S. in Mechanical Engineering from Penn State University.
___________________________________________________________________________________________________________________

A calendar placeholder for this community conversation was sent out via my alternate email address (kpraet@sg.utilityanalytics.com). I’ve noticed these invites can sometimes be flagged as spam, so please check your junk folders if you’re not seeing right away. For your convenience I have also attached the placeholder to this message as an easy download. If you are not seeing a placeholder on your calendar for Wednesday, September 21 at 1:00 PM CT, or are having trouble downloading the placeholder from this message, please reach back out to me so I can be sure you are forwarded the invite an alternate way.

Thanks and I look forward to connecting next week!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————
——————————————-
Original Message:
Sent: 09-01-2022 10:32
From: Kevin Praet
Subject: Upcoming September (2022) Community Conversation

Hello Grid Analytics Community Members,

I hope all is well! With September just kicking off, I wanted to reach out and get you excited for our September (2022) Grid Analytics Community Conversation. On Wednesday, September 21st at 1:00 PM CT, we’ll be joined by Cara Gilad, Sr. Data Scientist (Exelon Analytics) and Jeffrey Swiatek, Principal Quant Engineer (PECO T&S Analytics) who will be leading a discussion around, “Outage Prediction Using DA Devices and Fault Sensors.” I’ll be providing more information on this session, including our Microsoft Teams credentials, one week prior to our meeting but you can always learn more about each of our upcoming Community Conversations on our Events Page HERE.

If you have any questions in the meantime please reach out to me at kpraet@utilityanalytics.com.

 

Thanks!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————

[Kevin Praet (Adm)]

Hello Enterprise Analytics Community Members,

I hope all is well! We are one week away from our September (2022) Enterprise Analytics Community Conversation and want to get you excited about the session taking place. On Thursday, September 22nd at 1:00 PM CT, we’ll be joined by Eric Anderson, Polk Bros. Chair in Retailing, Professor of Marketing, and Director Kellogg-McCormick MBAi of Northwestern University, Kellogg School of Management who will be leading a discussion around, “A Framework for AI and Analytics.”  As this discussion will be interactive, we encourage you to come prepared with questions and your insight.

Learn more about this session and our speaker below!

Session Description:

What is AI? What is Analytics? How are AI and Analytics related?  In this session, we will answer these questions and introduce a framework for tackling AI and analytics business initiatives.

Speaker: Eric Anderson, Polk Bros. Chair in Retailing, Professor of Marketing, and Director Kellogg-McCormick MBAi (Northwestern University, Kellogg School of Management)

Eric T. Anderson is the Polk Bros. Chair in Retailing, Professor of Marketing and former Chair of the Marketing Department at Northwestern University, Kellogg School of Management and Director of the Kellogg-McCormick MBAi Program.  He holds a Ph.D. in Management Science from MIT Sloan School of Management and previously held appointments at the University of Chicago Booth School of Business and the W.E. Simon Graduate School of Business at the University of Rochester. 

Professor Anderson’s research interests include analytics, retailing, pricing strategy, innovation, new products and channel management.  His recent research has been conducted with various companies around the world and has impacted both management practice and academic theory.  His articles have appeared in scholarly journals such as Journal of Marketing Research, Marketing Science, Management Science, Journal of Economic Theory, and Quarterly Journal of Economics.  He has also published three articles in Harvard Business Review and an article in Sloan Management Review.  His 2004 paper on the long-run impact of pricing and promotions was recently recognized for its enduring impact on the field of marketing.  His 2014 paper on deceptive product reviews won the Paul E. Green award for the best paper in Journal of Marketing Research.

Professor Anderson is currently marketing department editor of Management Science. 

At Kellogg, Professor Anderson teaches Pricing and Retail Analytics in the MBA program and Marketing Analytics in the EMBA program. He is a four-time winner of the Sydney Levy Award for best elective at Kellogg.  Professor Anderson also serves on the Board of Directors for Canadian Tire and is an advisor for LiftLab. 
_________________________________________________________________________________________________________________________________________________

A calendar placeholder for this community conversation was sent out via my alternate email address (kpraet@sg.utilityanalytics.com). I’ve noticed these invites can sometimes be flagged as spam, so please check your junk folders if you’re not seeing right away. For your convenience I have also attached the placeholder to this message as an easy download. If you are not seeing a placeholder on your calendar for Thursday, September 22nd at 1:00 PM CT, or are having trouble downloading the placeholder from this message, please reach back out to me so I can be sure you are forwarded the invite an alternate way.

Thanks and I look forward to connecting next week!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————
——————————————-
Original Message:
Sent: 09-01-2022 10:31
From: Kevin Praet
Subject: Upcoming September (2022) Community Conversation

Hello Enterprise Analytics Community Members,

I hope all is well! With September just kicking off, I wanted to reach out and get you excited for our September (2022) Enterprise Analytics Community Conversation. On Thursday, September 22nd at 1:00 PM CT, we’ll be joined by Eric Anderson, Polk Bros. Chair in Retailing, Professor of Marketing, and Director Kellogg-McCormick MBAi of Northwestern University, Kellogg School of Management who will be leading a discussion around, “A Framework for AI and Analytics.”  I’ll be providing more information on this session, including our Microsoft Teams credentials, one week prior to our meeting but you can always learn more about each of our upcoming Community Conversations on our Events Page HERE.

If you have any questions in the meantime please reach out to me at kpraet@utilityanalytics.com.

 

Thanks!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————

[Kevin Praet (Adm)]

Hello Natural Gas Analytics Community Members,

I hope all is well! We are one week away from our September (2022) Natural Gas Analytics Community Conversation and want to get you excited about the session taking place. On Wednesday, September 21st at 11:00 AM CT, we’ll be joined by David Bucholtz, Data Analytics Manager – Gas Asst Mgmt & Perf at PECO who will be leading a discussion around, “DEI in Action – Evaluating Incidence of Gas Events and Response in Vulnerable Communities.” As this discussion will be interactive, we encourage you to come prepared with questions and your insight. 

Learn more about this session and our speaker below!

Session Description:

Living the values of Diversity, Equity, and Inclusion means taking a hard look at your own organization’s implicit and structural biases. This session will explore how PECO is taking the first steps in using analytics to understand their response to gas events in socioeconomically vulnerable areas.

Speaker: David Bucholtz, Data Analytics Manager – Gas Asst Mgmt & Perf (PECO)

David Bucholtz, Manager of Data Analytics at PECO, is passionate about using data to find meaningful and actionable insights. His experience in the utility industry includes applying analytics techniques to find insights using AMI, customer, and asset data.  David holds a BA in Mathematics and Economics from Lafayette College and an MBA with a concentration in Business Analytics from Temple University. 
__________________________________________________________________________________________________________________________________________________

A calendar placeholder for this community conversation was sent out via my alternate email address (kpraet@sg.utilityanalytics.com). I’ve noticed these invites can sometimes be flagged as spam, so please check your junk folders if you’re not seeing right away. For your convenience I have also attached the placeholder to this message as an easy download. If you are not seeing a placeholder on your calendar for Wednesday, September 21 at 11:00 AM CT, or are having trouble downloading the placeholder from this message, please reach back out to me so I can be sure you are forwarded the invite an alternate way.

Thanks and I look forward to connecting next week!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————
——————————————-
Original Message:
Sent: 09-01-2022 10:37
From: Kevin Praet
Subject: Upcoming September (2022) Community Conversation

Hello Natural Gas Analytics Community Members,

I hope all is well! With September just kicking off, I wanted to reach out and get you excited for our September (2022) Natural Gas Analytics Community Conversation. On Wednesday, September 21st at 11:00 AM CT, we’ll be joined by David Bucholtz, Data Analytics Manager – Gas Asst Mgmt & Perf at PECO who will be leading a discussion around, “DEI in Action – Evaluating Incidence of Gas Events and Response in Vulnerable Communities.” I’ll be providing more information on this session, including our Microsoft Teams credentials, one week prior to our meeting but you can always learn more about each of our upcoming Community Conversations on our Events Page HERE.

If you have any questions in the meantime please reach out to me at kpraet@utilityanalytics.com.

Thanks!​​

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————

[Kevin Praet (Adm)]

Hello Data Science Community Members,

I hope all is well! We are one week away from our September (2022) Data Science Community Conversation and want to get you excited about the session taking place. On Tuesday, September 20th at 1:00 PM CT, we’ll be joined by the following speakers who will be leading a roundtable themed discussion around,“Org Structure for Data Science Departments: Should Data Science Roll Up Under IT or the Business?”

– Natalie Weed, Enterprise Analytics Manager (Black Hills Energy)

– Norv Clontz, Director of Data Science Innovation (Duke Energy)

– Robert (Bob) Dainauski, Sr. Analyst + Data Science Manager (PPL)

– Ben Spanswick, Data Science Manager (PPL)

Learn more about this session and our speakers below!

Session Description:

Data Scientist is an IT enabled job. Like most IT jobs focus on helping their organization use a particular technology, data scientists focus on helping their organization use data. Data scientists are experts in handling large amounts of data and are responsible for deriving business value. Some organizations establish a formal data science center of excellence to house a centralized team. The data science team is managed centrally but members are assigned to work with specific business operations and are accountable for helping those units reach their objectives to make data-driven decisions. Data science could be part of technology, but they also must work very closely with business; product and analytics.

With that said, Where should data scientists or data science departments report? Is it under IT or is it under the business? During this lively roundtable discussion, we will have a mix of participants from both IT and the business from Black Hills Energy, Duke Energy, and PPL sharing their opinions on this engaging topic. Join us to share your opinions and org structure examples to enhance the conversation during this roundtable.

Speaker: Natalie Weed, Enterprise Analytics Manager (Black Hills Energy)

Natalie Weed is the Enterprise Analytics Manager over the data science team at Black Hills Energy. She has 12+ years in various IT roles and industries and loves being part of advancing analytics across the company and creating a data driven culture. 

Speaker: Norv Clontz, Director of Data Science Innovation (Duke Energy)

Norv Clontz is the Director of Data Science Innovation at Duke Energy, where he is responsible for leading advanced analytics initiatives and developing internal competency in emerging areas such as deep learning for video & image analytics and natural language processing. His previous experience at the utility includes roles in Grid Solutions, Customer Insights, Telecoms, Customer PMO, and Natural Gas. Prior to joining Duke Energy, Norv led the business analytics practice at a management and IT consulting firm. He has led consulting engagements for Fortune 500 clients around the world in industries such as utilities, oil & gas, automotive, retail, and financial services. Norv brings over two decades of strategy and implementation experience in data science, system implementation, and channel analysis. Norv earned a B.A. from the Johns Hopkins University and an M.B.A. from the University of South Carolina. He also holds a PMP certification. 

Speaker: Robert (Bob) Dainauski, Sr. Analyst + Data Science Manager (PPL)

Bob Dainauski has a background in computer science with an MBA. He has spent 32 years in the Utility field, most of it spent in computer programming and analytics. Bob’s most recent 13 years focused on system reliability, including optimizing asset investments, optimizing use and placement of protective devices, circuit optimization, and weather-based damage prediction. He is interested in machine learning with experience primarily in R but also some Python. He has built and implemented a fully automated weather damage prediction dashboard using an ensemble of 9 individual R and Python machine learning models. Bob’s current role is Business Operations Analyst at PPL.

Speaker: Ben Spanswick, Data Science Manager (PPL)

Ben Spanswick is the Manager of Data Science and Machine Learning at PPL Corp and specializes in growing impactful Data Science Teams. Ben grew the team from about three analysts to a team of 12+ data scientists supporting multiple business lines across three OpCo’s. Prior to his time at PPL, Ben was the Lead Data Scientist responsible for establishing the Data Science Center of Excellence at the FBI. In total, Mr. Spanswick has spent 12 years in various data-centric roles. He holds B.S. in Risk Analytics from The Pennsylvania State University, and a M.S. in Data Science from Southern Methodist University.  

_____________________________________________________________________________________________________________________________________________

A calendar placeholder for this community conversation was sent out via my alternate email address (kpraet@sg.utilityanalytics.com). I’ve noticed these invites can sometimes be flagged as spam, so please check your junk folders if you’re not seeing right away. For your convenience I have also attached the placeholder to this message as an easy download. If you are not seeing a placeholder on your calendar for Tuesday, September 20 at 1:00 PM CT, or are having trouble downloading the placeholder from this message, please reach back out to me so I can be sure you are forwarded the invite an alternate way.

Thanks and I look forward to connecting next week!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————
——————————————-
Original Message:
Sent: 09-01-2022 10:06
From: Kevin Praet
Subject: Upcoming September (2022) Community Conversation

Hello Data Science Community Members,

I hope all is well! With September just kicking off, I wanted to reach out and get you excited for our September (2022) Data Science Community Conversation. On Tuesday, September 20th at 1:00 PM CT, we’ll be joined by the following speakers who will be leading a roundtable themed discussion around,“Org Structure for Data Science Departments: Should Data Science Roll Up Under IT or the Business?”

– Natalie Weed, Enterprise Analytics Manager (Black Hills Energy)

– Norv Clontz, Director of Data Science Innovation (Duke Energy)

– Robert (Bob) Dainauski, Sr. Analyst + Data Science Manager (PPL)

– Ben Spanswick, Data Science Manager (PPL)

I’ll be providing more information on this session, including our Microsoft Teams credentials, one week prior to our meeting but you can always learn more about each of our upcoming Community Conversations on our Events Page HERE.

If you have any questions in the meantime please reach out to me at kpraet@utilityanalytics.com.

 

Thanks!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————

[Kevin Praet (Adm)]

Hello Enterprise Analytics Community Members,

I hope all is well! We are one week away from our August (2022) Enterprise Analytics Community Conversation and want to get you excited about the session taking place. On Thursday, August 25th at 1:00 PM CT, we’ll be joined by @Vitha, Lead, Business Intelligence at Enbridge Gas Inc. who will be leading a discussion around, “Improving Analytics through Data Standardization, Data Transformation and Data Dictionaries.” As this discussion will be interactive, we encourage you to come prepared with questions and your insight.

Learn more about this session and our speaker below!

Session Description:

Data inconsistencies is a major risk in analytics and can have huge impacts on the reliability of analytics results. Data inconsistencies happen throughout the data lifecycle – during data capture, data integration, data feeds into analytics environments and in the analytics process itself, with inconsistent assumptions among analysts. Three mechanisms/tools are very useful in addressing this risk namely Data standardization, Data transformation and Data Dictionaries. In this session, we will explore these three concepts with some examples.

Speaker: Vitha Krishnamurthy, Lead, Business Intelligence (Enbridge Gas Inc.)

Vitha Krishnamurthy is the Lead of Business Intelligence in Enbridge Gas Inc. based in Ontario, Canada. Enbridge Gas serves over 3.25 million customers in Ontario. Vitha holds a MBA from Ryerson University, Toronto and is a Certified Public Accountant (Illinois Board). 
_______________________________________________________________________________________________________________________________________________

A calendar placeholder for this community conversation was sent out via my alternate email address (kpraet@sg.utilityanalytics.com). I’ve noticed these invites can sometimes be flagged as spam, so please check your junk folders if you’re not seeing right away. For your convenience I have also attached the placeholder to this message as an easy download. If you are not seeing a placeholder on your calendar for Thursday, August 25th at 1:00 PM CT, or are having trouble downloading the placeholder from this message, please reach back out to me so I can be sure you are forwarded the invite an alternate way.

Thanks and I look forward to connecting next week!

——————————
Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
——————————
——————————————-
Original Message:
Sent: 08-01-2022 10:30
From: Kevin Praet
Subject: Upcoming August (2022) Community Conversation

Hello Enterprise Analytics Community Members,

I hope all is well! With August just kicking off, I wanted to reach out and get you excited for our August (2022) Enterprise Analytics Community Conversation. On Thursday, August 25th at 1:00 PM CT, we’ll be joined by @Vitha, Lead, Business Intelligence at Enbridge Gas Inc. who will be leading a discussion around, “Improving Analytics through Data Standardization, Data Transformation and Data Dictionaries.” I’ll be providing more information on this session, including our Microsoft Teams credentials, one week prior to our meeting but you can always learn more about each of our upcoming Community Conversations on our Events Page HERE.

If you have any questions in the meantime please reach out to me at kpraet@utilityanalytics.com.

 

Thanks!

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Kevin Praet
Membership Coordinator
Utility Analytics Institute (UAI)
Boulder CO
315-440-3033
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