Artificial Intelligence (AI) and Machine Learning (ML) are at the forefront of technological advancements impacting corporate entrepreneurship. These technologies enable organizations to analyze vast amounts of data, derive insights, and make informed decisions at unprecedented speeds. In Strategic Planning, AI and ML are being leveraged to predict market trends, customer behaviors, and identify new business opportunities. For example, according to McKinsey, AI can potentially deliver up to $2.6 trillion in value in marketing and sales across the world's businesses, and another $2 trillion in manufacturing and supply chain planning.

Moreover, AI and ML are instrumental in enhancing Operational Excellence. They optimize operations through predictive maintenance, which can significantly reduce downtime and operational costs. A real-world example is Siemens, which uses AI to predict and prevent turbine failures, thereby enhancing energy production efficiency. This not only demonstrates the operational benefits of AI but also its role in driving innovation within traditional industries.

In the realm of Risk Management, AI and ML provide sophisticated tools for identifying, assessing, and mitigating risks. By analyzing historical data and identifying patterns, these technologies can foresee potential risks that humans might overlook. This predictive capability enables organizations to be more proactive in their risk management strategies, thus safeguarding against potential financial, operational, and reputational damages.

Blockchain technology is another emerging technology significantly influencing corporate entrepreneurship strategies. Known for its ability to ensure transparency, security, and efficiency, blockchain is revolutionizing industries by enabling secure, traceable transactions and agreements without the need for intermediaries. In sectors like finance, supply chain, and healthcare, blockchain is facilitating Innovation in processes and services. For instance, Deloitte's insights suggest that blockchain's distributed ledger technology has the potential to play a crucial role in supply chain transparency and authenticity, particularly in industries plagued by counterfeiting and fraud.

Blockchain also plays a critical role in enhancing Operational Excellence by streamlining processes, reducing fraud, and improving the efficiency of transactions. A notable example is Maersk, the world's largest shipping company, which has partnered with IBM to implement a blockchain-based shipping solution that has significantly reduced the paperwork, processing time, and costs associated with shipping operations.

Furthermore, in the context of Risk Management, blockchain technology offers enhanced security features that are particularly beneficial for financial transactions and data management. By enabling decentralized storage and encryption, blockchain minimizes the risk of data breaches, fraud, and cyber-attacks. This has led organizations to explore blockchain as a means to secure sensitive information, manage identity verification processes, and ensure the integrity of financial transactions.

The Internet of Things (IoT) is transforming corporate entrepreneurship by enabling a new level of connectivity between devices, systems, and people. IoT's impact on Strategic Planning is profound, as it offers real-time data that can inform decision-making, product development, and market entry strategies. Gartner predicts that the enterprise and automotive sectors will account for 5.8 billion IoT endpoints in 2020, highlighting the technology's expansive growth and its potential to drive innovation across various industries.

In Operational Excellence, IoT technologies optimize operations through enhanced monitoring, automation, and predictive maintenance. For example, General Electric's Predix platform utilizes IoT to monitor industrial equipment, predict failures before they occur, and schedule timely maintenance, thereby improving operational efficiency and reducing downtime.

Moreover, IoT contributes significantly to Risk Management by providing organizations with the tools to monitor their operations and environments in real time. This capability allows for immediate detection of irregularities or potential hazards, enabling quicker response times and reducing the impact of operational risks. In the energy sector, IoT sensors are used to detect and respond to system failures, environmental hazards, and security breaches, showcasing the technology's role in creating safer, more reliable operational frameworks.