WATCH: Building 'AI-Ready' Enterprises in the Business 4.0 Era
AI LIVE EMEA On-DEMAND VIDEO SESSION
Add bookmarkFour AI Behaviors
Watch this AI LIVE EMEA session where Antony Arul, Head - Artificial Intelligence Practice at Tata Consultancy Services Limited uncovers TCS's Business 4.0 thought leadership framework that outlines four AI behaviors characterizing success in the age of digital transformation:
- Mass personalization
- Leveraging ecosystems
- Embracing risk
- Creating exponential value
AI use cases
In discovering the behavior of mass personalization Arul discusses diverse use cases for the marketing and operations disciplines as well as the retail and life sciences industries. He discusses the affect on multiple stakeholders, from a customer perspective and from an internal organizational perspective.
9 select key takeaways
- AI techniques are allowing us to be able to consume all this information in a useful manner through our operations and run our operations more effectively.
- AI technology not only helps us personalize the experience for customers, it also helps us to personalize the experience of every stakeholder within the organization, whether it is CXO level stakeholders or management stakeholders or even the operation staff.”
- To successfully solve business problems, we should be able to connect the outcomes of AI with other technologies within the enterprise, and then connect them with core business processes.
- Utilizing AI, enterprises can collaborate with other industries, other enterprises within the same industry, or even other industries to be able to create business value for end consumers.
- Shift from a product view to a purpose view for the customer.
- AI applications is about using AI technologies to be able to bring a machine first philosophy to application development and management.
- The AI domain is about using AI related to the core business processes and how each of these processes can be transformed using AI, whether it is to improve customer experience, or improve compliance, or to introduce new products and services that are connected with customer priorities.
- Connect that with the abundance in data within and outside the enterprises. Then connect that data with improvements in computing capacity. We have abundance of technology available to take on advancements in AI.
- A fundamental shift in mindset is required in order to be able to harness this abundance in technology capabilities, skillsets available and abundance in data that is available. We discussed about AI led transformation in the era of business 4.0.