In this piece we highlight the digital imperative for the industry and how utilities can optimize their digital strategies, build business cases and incorporate emerging technologies.
Strategies to Monetize Energy Data - How Utilities Can Increase Their 'Earnin...Indigo Advisory Group
In this piece we highlight the utility data monetization imperative and how utilities can build the right strategies to take advantage of this opportunity
The document summarizes Indigo Advisory Group's utility strategic planning services. It outlines their UtiliSME methodology which provides strategic planning, management, and execution services to utilities. The methodology involves conducting an assessment, developing strategic goals and initiatives, defining metrics and KPIs, and creating an implementation plan. It also discusses trends impacting utilities and the importance of strategic planning given changes in areas like regulation, markets, technology, and customer behavior.
Addressing the shifting landscape across policy & regulation, revenue, business model innovation, technology innovation and changing consumer behavior, Indigo Advisory Group has created a series of tools, frameworks and strategies to help utilities manage the energy transition
The document discusses UtiliVATION, a series of innovation frameworks and market insights from Indigo Advisory Group that provides innovation analysis and market intelligence for utilities. UtiliVATION includes an innovation prioritization matrix, business case evaluation process, and commercial availability analysis. Indigo's approach using UtiliVATION aims to rapidly deploy innovative projects and identify investment opportunities through analyzing emerging technologies and their adoption across the utility value chain.
In this piece, we explore how AI has the potential to deliver the active management that will be required for the grid of the future. Powerful intelligence will be able to balance grids, manage demand, negotiate actions, enable self-healing and facilitate a host of new products and services.
UtiliAPP is a methodology developed by Indigo Advisory Group to help utilities prioritize data and analytics investments. It involves assessing over 100 potential use cases across various domains, prioritizing high value opportunities, conducting a data assessment, and developing analytics roadmaps and detailed requirements for priority use cases. The goal is to help utilities lower costs, improve operations, enhance customer satisfaction and create more effective investment strategies through targeted analytical programs.
Artificial intelligence in Energy and Utilities – Market OverviewIndigo Advisory Group
Artificial Intelligence has been around for decades, however, over the past 2-3 years the technology has been finding applications across a series of sectors, including energy and utilities. This presentation includes some of the highlights given on an Engerati Webinar on September 27th including three major application areas.
UtiliGRIDMOD - Utility Grid Modernization - Indigo Advisory Group Indigo Advisory Group
The document discusses UtiliGRIDMOD, a process by Indigo Advisory Group that helps utilities evaluate their grid modernization maturity and embark on large-scale transformation programs. UtiliGRIDMOD provides tools like business case templates, technology assessments, and roadmapping to facilitate cross-functional planning. Indigo's approach involves assessing utility maturity, aligning business cases with goals, and planning roadmaps and implementations. The outcome is helping utilities achieve operational, financial, and customer benefits through modernized grids.
Strategies to Monetize Energy Data - How Utilities Can Increase Their 'Earnin...Indigo Advisory Group
In this piece we highlight the utility data monetization imperative and how utilities can build the right strategies to take advantage of this opportunity
The document summarizes Indigo Advisory Group's utility strategic planning services. It outlines their UtiliSME methodology which provides strategic planning, management, and execution services to utilities. The methodology involves conducting an assessment, developing strategic goals and initiatives, defining metrics and KPIs, and creating an implementation plan. It also discusses trends impacting utilities and the importance of strategic planning given changes in areas like regulation, markets, technology, and customer behavior.
Addressing the shifting landscape across policy & regulation, revenue, business model innovation, technology innovation and changing consumer behavior, Indigo Advisory Group has created a series of tools, frameworks and strategies to help utilities manage the energy transition
The document discusses UtiliVATION, a series of innovation frameworks and market insights from Indigo Advisory Group that provides innovation analysis and market intelligence for utilities. UtiliVATION includes an innovation prioritization matrix, business case evaluation process, and commercial availability analysis. Indigo's approach using UtiliVATION aims to rapidly deploy innovative projects and identify investment opportunities through analyzing emerging technologies and their adoption across the utility value chain.
In this piece, we explore how AI has the potential to deliver the active management that will be required for the grid of the future. Powerful intelligence will be able to balance grids, manage demand, negotiate actions, enable self-healing and facilitate a host of new products and services.
UtiliAPP is a methodology developed by Indigo Advisory Group to help utilities prioritize data and analytics investments. It involves assessing over 100 potential use cases across various domains, prioritizing high value opportunities, conducting a data assessment, and developing analytics roadmaps and detailed requirements for priority use cases. The goal is to help utilities lower costs, improve operations, enhance customer satisfaction and create more effective investment strategies through targeted analytical programs.
Artificial intelligence in Energy and Utilities – Market OverviewIndigo Advisory Group
Artificial Intelligence has been around for decades, however, over the past 2-3 years the technology has been finding applications across a series of sectors, including energy and utilities. This presentation includes some of the highlights given on an Engerati Webinar on September 27th including three major application areas.
UtiliGRIDMOD - Utility Grid Modernization - Indigo Advisory Group Indigo Advisory Group
The document discusses UtiliGRIDMOD, a process by Indigo Advisory Group that helps utilities evaluate their grid modernization maturity and embark on large-scale transformation programs. UtiliGRIDMOD provides tools like business case templates, technology assessments, and roadmapping to facilitate cross-functional planning. Indigo's approach involves assessing utility maturity, aligning business cases with goals, and planning roadmaps and implementations. The outcome is helping utilities achieve operational, financial, and customer benefits through modernized grids.
Indigo Advisory Group provides strategy, technology, and innovation services to utilities and energy companies to help them manage the transformation of the energy industry. This document highlights trends impacting utilities, emerging strategies, new technologies being invested in, and Indigo's services including utility analytics, emerging technologies assessments, grid transformation support, and strategic consulting. Indigo employs tools like UtiliAPP to help utilities prioritize analytics investments and emerges as an expert advisor for utilities navigating uncertainty created by new technologies and regulations.
Transformation Tools for Utilities | Indigo Advisory GroupDavid Groarke
This pivotal moment of transformation in the utility industry is providing large scale and unprecedented opportunity for traditional power providers and those operating at the edge of the grid. In this capability primer, we highlight some of the broader industry technology trends and the resulting tools, approaches and insights that Indigo Advisory Group employs to help utilities navigate uncertainty and create the right strategies.
The document describes Indigo Advisory Group's UtiliPERFORM suite of tools and processes to help utilities improve operational performance and efficiency. UtiliPERFORM includes tools for process design, operating models, change management, and program assurance. The suite helps utilities deliver programs and transition initiatives to regular operations. It provides maturity assessments, process redesign frameworks, and program management tools to optimize utilities' performance.
Smart Grid deployments in the US - Lessons Learned and Emerging Benefits AreasDavid Groarke
David Groarke Presentation to the Saudi Arabia Smart Grid Conference & Exhibition SASG December 2014. "Smart Grid deployments in the US - Lessons Learned and Emerging Benefits Areas.
To deliver power more responsibly and more efficiently, energy and utilities organizations are working toward a smarter energy value chain: (1) Transformation of the grid, (2) Empowerment of consumers, (3) Ensuring cleaner energy supply.
Utilities are facing an explosion of data from smart meter and grid technologies that they are ill-equipped to manage and analyze. This data, if properly analyzed, could provide strategic insights but utilities currently lack capabilities to interpret usage patterns, forecast demand, and leverage data for competitive advantage. The future requires utilities to develop competencies in data management, cross-functional analysis, and demand response programs in order to unlock value from consumer data and gain competitive advantages over other utilities.
Shared Economy & Open Data in #EnergyEfficiency MarketsUmesh Bhutoria
Paper orginally written for presentation at the AEEE Conclave. It failed to make the cut for final round, we thought we would still let people review it and engage!
Paper talks about our path-breaking work on helping open up data for greater good and value creation
Big Data big deal big business for utilities vesion 01Marc Govers
This document discusses how utilities companies can leverage big data. It defines big data and outlines how technology is generating more data from smart grids and devices. Utilities want to use big data to predict energy demand, optimize asset maintenance, and retain customers. However, data quality issues and a lack of infrastructure impede use. The solution involves establishing data governance, building an integrated data architecture and infrastructure including Hadoop, and developing data expertise through new roles and knowledge sharing. This can provide insights into energy demand and usage, improve asset and customer management, and support new products and services.
SMi Group is bringing to London this December, a new masterclass training course entitled Big Data for Utilities - combining and creating value from transactional, geospatial and real-time domain information. Don't miss this must attend course in association with Alliander and SAP UK & Ireland
What are big data in the contacts of energy & utilities, and how/where can the utilities find value in the data. In this C-level presentation we discussed the three prime areas: grid operations, smart metering and asset & workforce management. A section on cognitive computing for utilities have been omitted from the presentation due to confidentiality - but I tell you - it is mind-blowing perspectives on how IBM Watson will help utilities plan and optimize their operations in the near future!
See more on http://www.ibmbigdatahub.com/industry/energy-utilities
Check out this white paper from eInfochips which showcases how energy and utility providers can unlock potential service opportunities using our predictive analytics solution across all stages of the business cycle. Major utility players are set to roll out millions of smart meters with the aim of generating actionable insights even though as per the industry’s own admission, any serious effort toward monetization is being offset by a lack of core IT capabilities, especially in big data technology. Capturing proactive intelligence on consumer behavior is the way to go. In this white paper, eInfochips demonstrates how utility players can predict demand response, generation response and create new revenue models around coincidental peak demands, smart expenditure modeling and other forms of end user data.
From grid infrastructure analytics to consumer analytics, the true power of data is starting to be realized. Greentech Media Co-Founder and President, Rick Thompson, sets the stage for the days presentations and panels.
Big Data has made it easier to gain loyal and happy customers in the utilities industry. It improves the ability of companies to quickly identify underlying issues and nip complaints in the bud.
Through big data analytics, utilities can improve customer experience, address changing demands, solve experience-related issues, manage grids more efficiently and gain full control of their resources. Read this paper to find out more.
This document discusses how utilities can leverage smart meter big data to provide customer value through various programs and analytics. It notes that many utilities have struggled to make sense of the large influx of smart meter data and recruit customers to new programs. However, it provides examples of how some utilities have successfully used behavioral demand response, home energy management systems, and other tools to gain insights into customer usage and behavior, improve customer satisfaction and engagement, and reduce peak demand. These strategies can help utilities better manage smart grid investments and deliver cost savings.
Generating Insight from Big Data in Energy and the EnvironmentDavid Wallom
The document discusses using big data in energy and the environment to generate insights. It provides examples of using data to cluster electricity load profiles, analyze commercial energy consumption under different pricing strategies, and model high impact weather events. Specifically, it analyzed UK winter 2014 floods through over 39,000 weather simulations to determine how climate change has increased risks of very wet winters.
The document discusses trends in the U.S. energy industry, including growth in renewable energy sources and the transition to a smarter electric grid. Key points include:
- Renewable energy such as solar and wind are gaining market share in the U.S. and investments in renewables are expected to reach $700 billion over the next two decades.
- The smart grid subsector is modernizing distribution and transmission systems through technologies like smart meters and is projected to provide $130 billion in annual benefits to the U.S. economy by 2019.
- Digital technologies are both enabling intelligent grids but also introducing new cybersecurity threats that must be addressed.
Thinking out of the toolbox exec report - IBMSusanna Harper
This document discusses how digital technologies are powering an "operations revolution" by allowing companies to operate in new ways and transform industries. It highlights how the Internet of Things, mobility, cloud computing, and analytics are driving both operational innovation and new technology-enabled business models and products. While many companies have outlined digital operations strategies, most have far to go in execution. The document focuses on the technologies, security challenges, and talent needs for digital operations. It also provides examples of how predictive analytics is helping companies improve operations, products, and customer experiences.
Fast-Tracking Digital: A Blueprint for Communications Services ProvidersCognizant
For communications services providers (CSPs), becoming a digital business is essential to remaining relevant and competitive, and meeting customers’ demands for best-in-class, omnichannel experiences that simplify and personalize communications and transactions. Building this capability requires integrating existing capabilities within the context of a larger digital ecosystem and industry-specific platforms. When it comes to digital transformation, the question isn’t if to start, but how – and where.
Indigo Advisory Group provides strategy, technology, and innovation services to utilities and energy companies to help them manage the transformation of the energy industry. This document highlights trends impacting utilities, emerging strategies, new technologies being invested in, and Indigo's services including utility analytics, emerging technologies assessments, grid transformation support, and strategic consulting. Indigo employs tools like UtiliAPP to help utilities prioritize analytics investments and emerges as an expert advisor for utilities navigating uncertainty created by new technologies and regulations.
Transformation Tools for Utilities | Indigo Advisory GroupDavid Groarke
This pivotal moment of transformation in the utility industry is providing large scale and unprecedented opportunity for traditional power providers and those operating at the edge of the grid. In this capability primer, we highlight some of the broader industry technology trends and the resulting tools, approaches and insights that Indigo Advisory Group employs to help utilities navigate uncertainty and create the right strategies.
The document describes Indigo Advisory Group's UtiliPERFORM suite of tools and processes to help utilities improve operational performance and efficiency. UtiliPERFORM includes tools for process design, operating models, change management, and program assurance. The suite helps utilities deliver programs and transition initiatives to regular operations. It provides maturity assessments, process redesign frameworks, and program management tools to optimize utilities' performance.
Smart Grid deployments in the US - Lessons Learned and Emerging Benefits AreasDavid Groarke
David Groarke Presentation to the Saudi Arabia Smart Grid Conference & Exhibition SASG December 2014. "Smart Grid deployments in the US - Lessons Learned and Emerging Benefits Areas.
To deliver power more responsibly and more efficiently, energy and utilities organizations are working toward a smarter energy value chain: (1) Transformation of the grid, (2) Empowerment of consumers, (3) Ensuring cleaner energy supply.
Utilities are facing an explosion of data from smart meter and grid technologies that they are ill-equipped to manage and analyze. This data, if properly analyzed, could provide strategic insights but utilities currently lack capabilities to interpret usage patterns, forecast demand, and leverage data for competitive advantage. The future requires utilities to develop competencies in data management, cross-functional analysis, and demand response programs in order to unlock value from consumer data and gain competitive advantages over other utilities.
Shared Economy & Open Data in #EnergyEfficiency MarketsUmesh Bhutoria
Paper orginally written for presentation at the AEEE Conclave. It failed to make the cut for final round, we thought we would still let people review it and engage!
Paper talks about our path-breaking work on helping open up data for greater good and value creation
Big Data big deal big business for utilities vesion 01Marc Govers
This document discusses how utilities companies can leverage big data. It defines big data and outlines how technology is generating more data from smart grids and devices. Utilities want to use big data to predict energy demand, optimize asset maintenance, and retain customers. However, data quality issues and a lack of infrastructure impede use. The solution involves establishing data governance, building an integrated data architecture and infrastructure including Hadoop, and developing data expertise through new roles and knowledge sharing. This can provide insights into energy demand and usage, improve asset and customer management, and support new products and services.
SMi Group is bringing to London this December, a new masterclass training course entitled Big Data for Utilities - combining and creating value from transactional, geospatial and real-time domain information. Don't miss this must attend course in association with Alliander and SAP UK & Ireland
What are big data in the contacts of energy & utilities, and how/where can the utilities find value in the data. In this C-level presentation we discussed the three prime areas: grid operations, smart metering and asset & workforce management. A section on cognitive computing for utilities have been omitted from the presentation due to confidentiality - but I tell you - it is mind-blowing perspectives on how IBM Watson will help utilities plan and optimize their operations in the near future!
See more on http://www.ibmbigdatahub.com/industry/energy-utilities
Check out this white paper from eInfochips which showcases how energy and utility providers can unlock potential service opportunities using our predictive analytics solution across all stages of the business cycle. Major utility players are set to roll out millions of smart meters with the aim of generating actionable insights even though as per the industry’s own admission, any serious effort toward monetization is being offset by a lack of core IT capabilities, especially in big data technology. Capturing proactive intelligence on consumer behavior is the way to go. In this white paper, eInfochips demonstrates how utility players can predict demand response, generation response and create new revenue models around coincidental peak demands, smart expenditure modeling and other forms of end user data.
From grid infrastructure analytics to consumer analytics, the true power of data is starting to be realized. Greentech Media Co-Founder and President, Rick Thompson, sets the stage for the days presentations and panels.
Big Data has made it easier to gain loyal and happy customers in the utilities industry. It improves the ability of companies to quickly identify underlying issues and nip complaints in the bud.
Through big data analytics, utilities can improve customer experience, address changing demands, solve experience-related issues, manage grids more efficiently and gain full control of their resources. Read this paper to find out more.
This document discusses how utilities can leverage smart meter big data to provide customer value through various programs and analytics. It notes that many utilities have struggled to make sense of the large influx of smart meter data and recruit customers to new programs. However, it provides examples of how some utilities have successfully used behavioral demand response, home energy management systems, and other tools to gain insights into customer usage and behavior, improve customer satisfaction and engagement, and reduce peak demand. These strategies can help utilities better manage smart grid investments and deliver cost savings.
Generating Insight from Big Data in Energy and the EnvironmentDavid Wallom
The document discusses using big data in energy and the environment to generate insights. It provides examples of using data to cluster electricity load profiles, analyze commercial energy consumption under different pricing strategies, and model high impact weather events. Specifically, it analyzed UK winter 2014 floods through over 39,000 weather simulations to determine how climate change has increased risks of very wet winters.
The document discusses trends in the U.S. energy industry, including growth in renewable energy sources and the transition to a smarter electric grid. Key points include:
- Renewable energy such as solar and wind are gaining market share in the U.S. and investments in renewables are expected to reach $700 billion over the next two decades.
- The smart grid subsector is modernizing distribution and transmission systems through technologies like smart meters and is projected to provide $130 billion in annual benefits to the U.S. economy by 2019.
- Digital technologies are both enabling intelligent grids but also introducing new cybersecurity threats that must be addressed.
Thinking out of the toolbox exec report - IBMSusanna Harper
This document discusses how digital technologies are powering an "operations revolution" by allowing companies to operate in new ways and transform industries. It highlights how the Internet of Things, mobility, cloud computing, and analytics are driving both operational innovation and new technology-enabled business models and products. While many companies have outlined digital operations strategies, most have far to go in execution. The document focuses on the technologies, security challenges, and talent needs for digital operations. It also provides examples of how predictive analytics is helping companies improve operations, products, and customer experiences.
Fast-Tracking Digital: A Blueprint for Communications Services ProvidersCognizant
For communications services providers (CSPs), becoming a digital business is essential to remaining relevant and competitive, and meeting customers’ demands for best-in-class, omnichannel experiences that simplify and personalize communications and transactions. Building this capability requires integrating existing capabilities within the context of a larger digital ecosystem and industry-specific platforms. When it comes to digital transformation, the question isn’t if to start, but how – and where.
Smart revenue mgt. makes utilities smarter interview feb 2015Iraklis Pilatos
The utilities industry is one of the fastest growing M2M/IOT verticals, bearing high expectations for optimized services, reduced costs, and customer satisfaction. This article outlines how smart pricing and advanced customer management - empowered by the predictions and trends brought by purpose-built analytics - can effectively address the utility market challenges ahead.
Mobilizing the utility workforce: How mobile technology and analytics will tr...Josefina Almorza Hidalgo
Mobile technologies have become imperative for
utilities. In conjunction with analytics, mobile
technologies help promote operational efficiency,
increased productivity, enhanced safety and expanded
service delivery alternatives. To fully realize these
benefits, utilities will need to embrace the technology.
By redesigning work processes and activities from a
“mobile first” perspective, the industry will be positioned
to aggressively innovate and evolve with rapidly
changing energy markets.
Why Telcos need to embrace Digital Transformation nowEricsson
Check out this informative IDC Executive Brief for CSPs looking to become digitalized.
Read about the changing ICT market, gain some insights on how to manage and implement your digital transformation vision, and learn how Ericsson can help through its advisory services, OSS/BSS portfolio and proven experience in large scale transformation projects.
Utilities are looking to leverage smart grid data through business intelligence analytics to improve various business operations and processes. While most utilities currently only use descriptive analytics through traditional BI tools, more advanced predictive analytics could optimize planning, forecasting, and asset management. Realizing this potential faces challenges including data integration, quality, skills, and cultural change. Vendors are developing solutions that integrate different data sources and move beyond traditional meter data management to more sophisticated big data analytics.
Reincarnating traditional infrastructure outsourcingNIIT Technologies
The document summarizes the decline of traditional infrastructure outsourcing models and the rise of next generation outsourcing providers. Specifically:
- Traditional outsourcing is declining due to dissatisfaction with rigid contracts and finger-pointing between vendors. New customers expect more flexibility and agility from providers.
- Next generation providers are adapting to new technologies and customer expectations by offering flexible, pay-per-use models focused on business value over strict service level agreements.
- A case study example shows how one IT provider delivered a mobile solution that improved a manufacturing client's productivity and customer satisfaction through real-time invoice processing.
Digital Business Models I Best Practices I NuggetHubRichardNowack
What new business models are made possible by digitization? Digital business models are based on connected service and digital platforms. In this business best practice slide deck you learn how to develop, prototype and implement digital business models based on platforms and connected services.
We provide you with the following best practices:
- Introduction
- Digital Platforms, Strategies and Services
- Operating Models
- MVPs and Prototyping
- Platform Design
Lessons from Long Tail: Delivering on the Semiconductor Digital Engagement Ma...Infosys
Traditional customer engagement methods and information infrastructures are no longer sufficient. Success in the semiconductor marketplace will belong to those who are prepared for comprehensive digital and social interactions and commerce across the sales and support cycle with traditional and new prospects and customers who are “engineers” by day and “digital consumers” after hours. The industry is realizing the power of Web 2.0 technologies to reach untapped emerging markets of product developers and engineers across the globe, while increasing customer satisfaction, productivity, and profitability.
The document discusses the need for semiconductor firms to embrace digital engagement strategies to reach new markets. As the ecosystem changes with more smaller companies and diversified locations, traditional sales and support methods are no longer sufficient. Semiconductor companies must evaluate their digital capabilities and define a digital engagement strategy using tools like Infosys' Stages of Excellence model. This model assesses a company's maturity in using digital interactions across the customer lifecycle to improve sales, support and collaboration. While some companies are leveraging digital engagement well, the document finds most customer journeys still lack defined information architecture and personalization.
Digital Telcos leverage a Cloud ,Software infrastructure and excellent customer service, aimed at disseminating premium services and digital content within a customisable platform, accessible anywhere and on any device.
This document provides an executive summary on the transformation of utility asset management due to new technologies like smart meters, sensors, cloud computing, predictive analytics, and the internet of things. It discusses how these technologies have created new sources of data that utilities must now integrate and analyze in real-time to improve asset management. The future of asset management will rely more on data-driven decision making using descriptive, predictive, prescriptive and adaptive analytics. This will allow utilities to move from reactive to proactive maintenance to improve reliability and reduce costs.
Three market trends drive collaborative value networks to the next levelARC Advisory Group
Three trends will drive changes in industrial companies over the next decade: 1) the shift in global economic power to emerging markets, 2) increased accessibility and capabilities of information technology, and 3) the rising influence of Millennials in the workforce. These trends will pressure companies to collaborate more extensively with partners throughout their value networks. Advanced IT can enable new forms of collaboration in design, production, and delivery. Leading companies will adapt by increasing information sharing and collaboration with customers and other partners across dynamic value networks.
Are manufacturing companies ready to go digital capgemini consulting - digi...Rick Bouter
Digital technologies are impacting manufacturing companies across their value chains. The document analyzes how different digital tools can optimize various parts of the manufacturing value chain, including product design, manufacturing, and supply chain management. It provides examples of companies like GE, Boeing, and Bombardier that have used digital tools like crowdsourcing, virtual prototyping, and digital factory models to drive innovation, increase productivity, and reduce costs and time to market. The document also presents a "Digital Innovation Radar" mapping various digital technologies to bottom-line and top-line opportunities for manufacturers.
Industry 4.0 is the name of the next industrial revolution which is fueled by the advancement of digital technologies. It
is dramatically changing how companies engage in business activities. As a result, the disruptive nature of Industry 4.0
demands a reassessment of the requirements for IT. On the one hand, there is the possibility that the responsibilities of Chief Information Officers (CIOs) could be taken over by other executives such as the Chief Digital Officer (CDO) or the Chief Technology Officer (CTO). On the other hand, this
recent development creates entirely new perspectives for positioning themselves and their IT departments
within the business.
The impact of digital technologies is reaching a magnitude at which IT is considered a substantial
business driver, potentially placing CIOs in the driver’s seat.
Industry 4.0 is causing disruptive changes in how companies do business through new digital technologies. This is challenging traditional IT departments and roles.
1. The adoption of new technologies is happening faster than ever, impacting what companies produce and how they operate.
2. IT departments often cannot meet new demands for speed and quality from business units, leading to the rise of "shadow IT" controlled by business units.
3. CIOs risk losing budgets and control as IT is bypassed, threatening their relevance unless they can successfully manage the new "bimodality" of traditional and product/service IT.
2017 Top Issues Core Transformation - January 2017PwC
The document discusses trends in property and casualty insurance core system transformations. It notes that insurers are looking to extend core platforms to develop foundations for digital transformation and analytics to drive growth strategies. Insurers are also exploring greenfield and cloud-based approaches. Additionally, the next wave of transformations is expected to impact specialty insurers like E&S carriers as they seek to automate processes while empowering underwriters.
Streamline your digital transformation for a future ready venture.LCDF
Streamline your digital transformation for a future ready venture. How the Pandemic How the pandemic impacted DACH Industries the unexpected catalyst for digital Transformation ?
Water po v transforming to operate in a digital world_finalRobert Cade
The document discusses how the Open Water Programme in the UK will transform water company operations and create a new competitive retail market. It states that companies who embrace digital technologies and operate as "Digital Masters" will have a competitive advantage. It identifies four key themes for companies to adapt to - business and technical alignment, customer centricity, leveraging data, and operating with pace and agility. Water companies will need to invest in digital capabilities and change their operating models to compete in the new retail market environment before 2017.
Similar to Managing the Energy Information Grid - Digital Strategies for Utilities (20)
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
CAKE: Sharing Slices of Confidential Data on BlockchainClaudio Di Ciccio
Presented at the CAiSE 2024 Forum, Intelligent Information Systems, June 6th, Limassol, Cyprus.
Synopsis: Cooperative information systems typically involve various entities in a collaborative process within a distributed environment. Blockchain technology offers a mechanism for automating such processes, even when only partial trust exists among participants. The data stored on the blockchain is replicated across all nodes in the network, ensuring accessibility to all participants. While this aspect facilitates traceability, integrity, and persistence, it poses challenges for adopting public blockchains in enterprise settings due to confidentiality issues. In this paper, we present a software tool named Control Access via Key Encryption (CAKE), designed to ensure data confidentiality in scenarios involving public blockchains. After outlining its core components and functionalities, we showcase the application of CAKE in the context of a real-world cyber-security project within the logistics domain.
Paper: https://doi.org/10.1007/978-3-031-61000-4_16
AI-Powered Food Delivery Transforming App Development in Saudi Arabia.pdfTechgropse Pvt.Ltd.
In this blog post, we'll delve into the intersection of AI and app development in Saudi Arabia, focusing on the food delivery sector. We'll explore how AI is revolutionizing the way Saudi consumers order food, how restaurants manage their operations, and how delivery partners navigate the bustling streets of cities like Riyadh, Jeddah, and Dammam. Through real-world case studies, we'll showcase how leading Saudi food delivery apps are leveraging AI to redefine convenience, personalization, and efficiency.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
2. Over the past ten years utilities globally have been using new technologies across the value chain to
extract value, defer investments and improve customer satisfaction. In this piece we highlight the
digital imperative for the industry and how utilities can optimize their digital strategies. Indeed,
digitization is at an inflection point in the sector, where a trend of technological convergence is taking
hold. Over the next decade developments in artificial intelligence (AI), distributed ledgers
(blockchain) and advanced control algorithms will impact a variety of sectors. For utilities, these
trends combined with the dramatic changes in the energy transition such as distributed energy
resources, increased proliferation of sensors on infrastructure and behind the meter devices and
demand management advances will unleash a variety of transformative use cases in the sector.
In terms of opportunity and shifting digital energy landscapes, three data points help illuminate the
size of the prize. Firstly, digitization can have a significant impact on utility profits. For McKinsey,
conservative estimates suggest that digital optimization can boost utility profitability by 20% to 30%.
Secondly, the digital business case for reduced power system costs is significant, with the IEA
predicting that overall savings from digitization could be in the order of USD 80 billion per year over
2016-40, or about 5% of total annual power generation. Finally, in terms of overall market
opportunity, BNEF forecasts the market for digitization in energy is sector set to grow to $64 billion
by 2025.
THE 5 D’S IMPACTING ENERGY AND UTILITIES
There are many factors that are driving a digital revolution in the industry. In the diagram below, we
advance Indigo's “5 D” framework that highlights the broad set of transformational areas that are
impacting traditional utility business models. It is true that these factors are largely interrelated,
however, in many ways digitization holds the keys to unlocking the potential across decarbonization,
disintermediation, decentralization and decreasing consumption. Digitization is both a significant
backbone and enabler of the energy transition allowing for new business models, revenue streams
and ultimately value for both customers and utilities. Naturally, these “D’s” vary depending on
geography, jurisdiction and unique utility characteristics, however, having a thorough understanding
of the impact of various regulatory, technological and financial trends is a first step to building a
robust digital utility strategy.
3. The 5 D’s Impacting Energy and Utilities - Indigo 2020
THE DIGITAL UTILITY – CAPABILITIES, APPLICATIONS AND
CORE COMPONENTS
Given this context and the impact of the digitization trend, it is important to take a deeper look at
what this means for a utility in practical terms. To achieve this we highlight three example
assessment areas for utilities to begin their digital planning and execution efforts. These areas
include:
1.Digital capability and oversight functions
2.Digital and grid modernization applications
3.Core systems and infrastructure
4. By taking this approach utilities can examine their capabilities, new technology requirements and
core systems that currently serve the market. In the diagram below, we expand on the analysis of the
DOE’s Modern Grid work beyond distribution and customer facing components by examining an
illustrative value chain that includes for example, enterprise and headquarter activities. A framework
like this can serve as starting point to explore core components of the digital value chain and
therefore the need for technical and capability market scans. This exhibit is of course illustrative and
it is well noted that each utility has its own unique characteristics, operating models and regulatory
regimes. The important point here however is to identify the components that will inform a
digitization strategy as a starting point, both from a functional and technical perspective.
The Digital Utility Taxonomy - Indigo / DOE
Once a utility has mapped their unique components, looking across each area and asking common
digital questions that are contrasted to market developments, organizational investment
opportunities will become apparent. The reason why a holistic digital assessment at this stage is key,
is due to the fact that over the past decade successes relating to the deployment of smart grid and
digital infrastructure has been mixed across the industry. While some utilities have seen a rise in
customer engagement, lower operational costs and the launch of new products and services, others
have struggled to prove out original business cases and functional requirements. One of the leading
reasons for this is an under-investment in the development of customer and business led use cases.
When a market becomes technology led, and predominantly driven by stakeholders other than the
5. end user (in the case of the digital grid, end users are both customers and utilities) it loses sight of
design thinking and primarily focuses on technical builds. For utilities, lessons learned in this space
range from leveraging vendor business cases too heavily in their analysis, failing to quantify unique
utility and customer characteristics and inadequate post-implementation strategies.
In a similar vein and from a technology perspective, tackling the foundational items first is critical. For
example on the data front, while it is true that up to 80% of data is unstructured in an organization
and work is always needed on clean-up, data acquisition itself may be a bigger problem. In this regard
and for example, critical sensor deployment considerations should include -- what assets should and
can be monitored first, do we have the right level of data quality to implement a solution and should
a solution be hosted or provided as a service by a vendor etc. In a similar vein, many utilities have
several point applications that could be rationalized and maintain current systems with functionality
that can be turned on to satisfy digital business requirements without investment in larger platforms.
With this in mind, while the minimum requirement for digital partners in this space are those who
understand the technology stack, vendors which are market leading in the energy sector also
understand how to engage functional teams of engineers, operators and customer facing staff.
UTILITY DIGITIZATION TECHNOLOGY ADOPTION MATURITY
Once a utility has mapped out the digital layers and identified its underlying digital architecture, next
it is important to identify what digital capability and applications are ready for deployment, what’s
for R&D and where utilities should partner. In order to achieve this, market scans from a technical
and functional perspective are crucial. In the diagram below, we aggregate the findings of the DOE
Grid Modernization report on distribution grid technologies to show the relative maturity of some of
the emerging technologies. The technology adoption cycle X-axis, “Current Adoption,” identifies the
stage of adoption for a specific technology. The horizontal dashed line represents the crossover point
from stages that are Preoperational (i.e., under test and/or evaluation) to those designated as
Operational (i.e., proven and in production use). Phases of maturity differ by specific technology, but
all technology undergo the same five phases.
6. Digital Utility Technology Adoption Cycle - Indigo / DOE
In the DOE’s analysis for example, there are maturity gaps across five key technologies that
are critical to utilities distribution digitization plans, these technologies include;
1. Multi-DER simulation for planning and hosting capacity analysis
2. Integrated resource, transmission and distribution modeling tools
3. Distributed energy resource management systems
4. Integrated Volt-var management w/smart inverters
5. Interoperability standards
Moving beyond these areas, we see that many new business models backed by distributed ledger
technology (blockchain), artificial intelligence (AI), and new advanced control algorithms are certainly
still at the R&D stage, and as such utilities are and should remain in exploration mode on this front.
One way to achieve digital prowess in the innovation market however is to further partner with
startups, indeed, we are seeing a host of activity in terms of acquisitions by utilities at the grid edge
over the past number of years. Also in this domain, for regulated foundational digitization activities,
coordinating efforts across jurisdictional entities will serve power providers and customers well by
ensuring consistency and standardization across the sector, an example of this can be seen in the
joint technology investment plans of New York’s utilities.
7. Outside of technological maturity, the IEA for example, believes there are few barriers to the
deployment of digital technologies in the electricity sector compared with most other energy sectors.
The primary reason for this is that companies that own and operate power plants have direct
financial incentives to invest, as they benefit directly from fuel cost savings, reduced O&M spending
and the competitive advantage of lower overall operating costs in the wholesale market. However,
they do note that misaligned financial incentives can present a significant barrier for fully exploiting
the potential of data and analytics in electricity networks. This is especially true in regulated markets
where total investment in physical assets is the basis of revenues, while investments in digital
technologies are not incentivized. Encouragingly however, over the past number of years we have
seen a move to clear the path for capitalization of certain digital infrastructure components such as
cloud investments, which will gradually permeate through the industry and help with adoption rates.
8. In the diagram above the IEA highlight where digitization’s potential impact in oil and gas, coal, and
power resides. The table highlights the magnitude of impacts on productivity and efficiency differ
across applications in supply sectors where “Barriers to digitization” include technological, financial,
regulatory and public perception components.
DIGITIZATION AND THE UTILITY FINANCIAL OPPORTUNITY
The creation of digital utility business cases with detailed sensitivity and NPV analysis including the
assessment of alternatives is a crucial step to define recovery options and align the business to a
benefits realization approach. We learned a great deal from the last wave of smart grid investments
and how to build effective business cases with real results. Critical in this step is to examine unique
utility characteristics and use many of the learnings, available resources and market expertise to
build a robust customer centric model. Each component of the capability and application model
outlined in this piece should be assessed individually and holistically as very often in a utility business
case for various projects, benefits are double counted. For example, when looking at building a digital
monitoring and diagnostic center any business case should mirror the use cases deployed and include
-- extended asset life, improved productivity of assets, reduced impact of catastrophic events for
electrical assets and a host of type 2 benefits such as increased customer satisfaction from reduced
outages, faster recovery from security events/outages, higher quality analysis of incident data etc.
However, these benefits are often counted in other digital component areas such as further
sensorization, communications networks and other point applications, as such aggregating benefits
across a digital program is critical.
As we mentioned earlier in terms of opportunity, three interrelated data points help illuminate the
size of the prize.
1.Impact on a utilities profits
2.Deferred investments and lower O&M costs
3.Overall market for energy digitization products and services
9. Impact on Utility Profits
Looking holistically at the impact of digitization across a utility, including process at the enterprise
level, McKinsey point out that digital opportunities to improve operations and increase flexibility are
available throughout the value chain. Conservative estimates supported by analysis of real-life cases
suggest that digital optimization can boost profitability by 20% to 30%. They observe that utilities can
realize most of this potential by three means: smart meters and the smart grid, digital productivity
tools for employees, and automation of back-office processes. In terms of digitization of back office
processes they suggest that significant variation among retail providers in cost per customer, the cost
of resolving errors, and billing inquiries exist. Indeed in one case, a company digitized a single core
process and cut process costs by 20% in the first year while also improving customer satisfaction. The
key drivers were higher-quality data and effective process automation. The diagram below highlights
where these potential benefits reside across the value chain.
Deferred Investments and Lower O&M Costs
As we pointed out in our “5 Ds” model earlier, decentralization and customer participation in energy
markets is a significant driver for change across the sector and enables flexibility across power
markets. Indeed the business case for flexibility supported by digitization could save USD 270 billion
of investment in new electricity infrastructure that would otherwise have been needed to ensure
security of supply according to the IEA. By 2040, 1 billion households and 11 billion smart appliances
10. could actively participate in interconnected electricity systems, allowing them to alter when they
draw electricity from the grid. This smart demand response could provide 185 GW of system
flexibility – comparable to the currently installed electricity supply capacity of Italy and Australia
combined.
Significant also in this category are the benefits to be accrued from digital data and analytics where
the reduction in O&M costs, improvement in power plant and network efficiency, the reduction in
unplanned outages and downtime and the extension in the operational lifetime of assets presents a
large opportunity for utilities. As highlighted in the diagram below, the IEA estimates that the overall
savings from these digitally enabled measures could be in the order of USD 80 billion per year over
2016-40, or about 5% of total annual power generation costs based on the enhanced global
deployment of available digital technologies to all power plants and network infrastructure.
Overall Market for Energy Digitization Products and Services
A critical component of digitization for utilities is the availability of products and services from both
mature and innovative vendors. In this domain we expect to see further ramp up in market provision
and sophistication of supply. To this end, BNEF predicts significant shifts in the intelligence of digital
technologies used in energy from today to 2025, and a big change in the sectors of the energy
system that most benefit from these technologies, with a market for digitization in energy sector to
grow to $6 billion by 2025. The shifting landscape of technology provision will be evidenced by both
supply and demand of digital technologies where home energy management technologies will see
the most significant change in digital revenues, rising from $1 billion in 2017 to $11 billion in 2025.
11. As highlighted in the table below, the largest driver for digital technology revenues in 2025 will be
smart meters, growing 44% between now and 2025, to $26bn. This revenue increase matches the
fall in digital revenues from fossil fuel O&M – 46% over that time period.
THE JOURNEY TO DIGITAL CONVERGENCE – FUTURE END STATE
SCENARIOS FOR THE ELECTRIC GRID
As digitization is both a journey and a destination for utilities, it also critical to examine technologies
and investment in line with market changes and potential shifting grid end-states. To that end, in
addition to a thorough value chain analysis and business case development process, utilities should
consistently evolve their views on where their particular organization is heading from a strategic
standpoint. This approach will inform no-regrets investments and new business models that could be
pursued. A useful way to examine potential scenarios for utility strategic planning is to explore future
“end states”. In the diagram below, we borrowed from the DOE’s work to highlight four distinct
futures. Consistently monitoring what’s happening in jurisdictions at the ‘cutting edge’ and by
forming closer relationships with customers, utilities can discern what end state is becoming more
likely and as such refine their digital strategies. Across each of these potential end states the value of
the grid increases and the need for investment by a utility in digitization becomes increasingly more
significant and intricate.
12. Building on the above end states framework, in the diagram below, we highlight illustrative strategic
themes that utilities could pursue towards the idea of digital innovation and a convergence strategy.
Core in this journey is to pursue level 1 and 2 and monitor 3 as a direction setting objective. Creating
a digital blueprint for a utility is critical as very often various component parts are developing at
different speeds, albeit to an aligned vision. A digital blueprint should complement a detailed
application and capability assessment and business case development process as highlighted in this
piece. Indeed, while digital technologies offer an array of opportunities to improve performance for
the benefit of individual companies, the system as a whole, energy consumers and the environment,
it is the connectivity component of digitization that has the potential to reshape the power sector. In
a journey towards digital innovation and convergence and moving beyond a purely platform model,
utilities can enable huge transformation by connecting new products and services with key demand
sectors such as transport, buildings and industry. While the pace of change is accelerating across the
sector, this is a multi-decade digital transformation journey and the intersection of energy across all
sectors needs to be consistently examined for innovative opportunities. In addition, it will also be
critical to manage domains such as cybersecurity, privacy and economic disruption in the most
equitable and robust way possible.