2017年-德勤全球_Tech_Trends_2017_and_the_power_industry_20页_1mb

Deloitte Tech Trends 2017 and the Utility Industry Summary

Core Content

Deloitte's Tech Trends 2017 report highlights the transformative potential of emerging technologies in the utility industry. The report introduces the concept of the "Kinetic Enterprise", which refers to organizations that embrace agility and innovation to thrive in a rapidly changing technological landscape. The utility sector is under pressure to adapt to these trends, as new technologies such as machine intelligence, blockchain, and inevitable architecture are reshaping how utilities operate and deliver services.

The report is structured into two main parts: Trends You Can't Ignore and Trends on the Cusp. The first part focuses on technologies that require immediate attention and action, while the second part explores emerging trends that may not yet demand full-scale transformation but should not be overlooked.

Main Trends and Key Points

1. IT Unbounded

• Definition: A shift towards multifunctional IT teams, breaking down internal silos, and leveraging external talent and partnerships.
• Impact: Enhances IT's ability to collaborate and innovate beyond traditional boundaries.
• Challenges:
  • Resistance from executives to think of IT as a strategic enabler.
  • Risk of change in highly regulated sectors.
• Opportunities:
  • Integration of IoT, sensors, and AI for improved customer service and asset management.
  • Creation of new revenue streams through customer-centric models.
• Recommendations:
  • Develop innovative solutions alongside traditional approaches.
  • Foster a co-creative environment through cross-departmental collaboration.
  • Redefine roles by integrating IT with operational technology (IT/OT).
  • Partner with external organizations and set up a digital factory for transformation.

2. Machine Intelligence

• Definition: The use of AI, machine learning, and RPA to automate and optimize operations.
• Impact:
  • Streamlines customer interactions and back-office processes.
  • Enables predictive analytics and better asset management.
• Challenges:
  • Managing large volumes of data from customers and assets.
  • Balancing automation with human oversight.
• Opportunities:
  • Enhancing customer experience through virtual assistants.
  • Reducing operational costs with predictive maintenance.
• Recommendations:
  • Start small with RPA pilots in specific areas.
  • Focus on operational efficiency before moving to differentiation.
  • Prototype differentiating projects to showcase value.

3. Inevitable Architecture

• Definition: A move towards flexible, cloud-first, and open architecture systems.
• Impact:
  • Supports rapid innovation and scalability.
  • Reduces hardware and labor costs.
• Challenges:
  • Security and safety concerns with centralized systems.
  • Cultural shift required to embrace openness and automation.
• Opportunities:
  • Cloud enables secure, transparent, and scalable data management.
  • Facilitates new business models and applications.
• Recommendations:
  • Don't believe the hype; evaluate cloud as a strategic differentiator.
  • Learn from start-ups and digital challengers.
  • Educate regulators about the benefits of cloud and new models.

4. Blockchain

• Definition: A decentralized ledger technology that enables secure and transparent transactions.
• Impact:
  • Supports trust, transparency, and new business models.
  • Enables peer-to-peer energy trading and secure customer identity management.
• Challenges:
  • Skepticism and lack of understanding among stakeholders.
  • Integration with existing systems and regulatory considerations.
• Opportunities:
  • Secure transactions, customer data, and energy trading.
  • Potential to disrupt traditional energy markets.
• Recommendations:
  • Educate colleagues about blockchain's potential.
  • Identify bottlenecks for initial blockchain implementation.
  • Plan for prosumers and new business models that leverage blockchain.

Trends on the Cusp

1. Dark Analytics

• Definition: Analyzing unstructured data from nontraditional sources like the deep web, IoT, and multimedia files.
• Impact:
  • Provides insights for customer-centric strategies and safety improvements.
  • Can enhance decision-making and operational efficiency.
• Challenges:
  • Complexity in analyzing unstructured data.
  • Need for clear objectives and out-of-the-box thinking.
• Recommendations:
  • Start with structured data before exploring the deep web.
  • Use dark analytics to support existing initiatives like customer service optimization.

2. Mixed Reality

• Definition: The use of augmented and virtual reality to enhance training, maintenance, and customer engagement.
• Impact:
  • Makes training more immersive and effective.
  • Improves field operations and maintenance through real-time visualization.
• Challenges:
  • Limited adoption and integration with existing workflows.
  • High initial investment and technical complexity.
• Recommendations:
  • Explore use cases in training and field operations.
  • Pilot mixed reality solutions in non-critical areas first.

Key Information

• Relevance & Readiness:

  • IT Unbounded: Relevance 3.0, Readiness 3.0
  • Machine Intelligence: Relevance 4.0, Readiness 2.0
  • Inevitable Architecture: Relevance and Readiness images provided but no specific scores mentioned.
  • Blockchain: Relevance and Readiness images provided but no specific scores mentioned.
  • Dark Analytics: Relevance and Readiness images provided but no specific scores mentioned.
  • Mixed Reality: Relevance and Readiness images provided but no specific scores mentioned.

• Overall Themes:

  • Agility and Innovation: Utilities must become more agile and open to external collaboration.
  • Customer-Centric Transformation: Leveraging data and technology to enhance customer experience and service.
  • Operational Efficiency: Automation and analytics are key to reducing costs and improving performance.

• Strategic Recommendations:

  • Start small and build momentum.
  • Foster a culture of co-creation and collaboration.
  • Invest in training and education for both employees and regulators.
  • Consider partnerships and innovation ecosystems.

Conclusion

Deloitte's Tech Trends 2017 report emphasizes the importance of adopting new technologies to disrupt and transform the utility industry. The report outlines actionable steps for utilities to move towards a more agile, customer-centric, and efficient operational model. While some technologies like machine intelligence and IT unbounded are more mature and relevant, others like blockchain and mixed reality are still emerging and require careful planning and experimentation. The key to success lies in understanding the potential of each trend, aligning with business goals, and fostering a culture of innovation and collaboration.