Enterprise Roadmap

Enterprise 3.0 builds on previous phases by integrating AI, real-time data, and automation, driving hyper-connected, adaptive, and sustainable business environments through quantum computing, edge computing, and resilient supply chains.​

Ashwin Gaidhani

The Enterprise Evolution Roadmap

Enterprise 1.0 (2005 - 2012)

Focused on integrating IT infrastructure and streamlining processes, Enterprise 1.0 emphasized the consolidation of data centers, cloud adoption, business platforms and the standardization of enterprise applications to increase operational efficiency and reduce costs, paving the way for digital business models.

Core Focus:

  • IT Infrastructure Integration

Technological Advances:

  • Data Center Consolidation
  • Initial Cloud Adoption
  • Standardization of Enterprise Applications

Business Impact:

  • Increased Operational Efficiency
  • Cost Reduction

Enterprise 2.0 (2013 - 2021):

Marked by the rise of mobile, advanced analytics, and social media integration, Enterprise 2.0 expanded digital ecosystems, enhancing collaboration and data-driven decision-making. This era proliferated of IoT and AI technologies, significantly transforming customer experience & engagement and digital business operations.

Core Focus:

  • Expansion of Digital Ecosystems

Technological Advances:

  • Rise of Mobile Computing
  • Advanced Analytics and Big Data
  • Integration of Social Media
  • Proliferation of IoT and AI Technologies

Business Impact:

  • Enhanced Collaboration
  • Data-driven Decision Making
  • Transformed Customer Engagement

Enterprise 3.0 (2022 - Present)

Enterprise 3.0 is characterized by pervasive AI integration, Generative AI, advanced real-time data insights, decentralized systems and intelligent automation. It focuses on sustainability and resilient supply chains, quantum computing and edge computing to create hyper-connected, intelligent, and adaptive business environments.

Core Focus:

  • AI Integration and Automation

Technological Advances:

  • Pervasive Use of AI and Machine Learning
  • Advanced Data Analytics
  • Quantum Computing Initiatives
  • Edge Computing

Business Impact:

  • Sustainability Initiatives
  • Resilient Supply Chains
  • Creation of Adaptive Business Environments
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