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This session will discuss how the private and public sector can - and must - work together to enable an end-to-end “Intelligent” ecosystem in Singapore.
The presentation will focus on the partnerships that are facilitating Singapore becoming the world’s AI powerhouse, as well as discussions on bridging the skills shortage through attraction of data workers, creating a regulated data culture, and the ethical concerns associated with an artificially intelligent society.
A lot of businesses are adopting a “bolt-on” approach to AI.This, whilst being capable of producing ROI in the short term, could end up resulting in a disparate, siloed AI architecture that will prevent businesses from ever “breaking the glass ceiling” when it comes to engineering an end-to-end, AI powered business.
This session will explore:
This panel brings together strategic and technical leaders to discuss how businesses who are at the start of the AI journey should approach their strategy - whilst helping the audience form an opinion on the decisions they will be required to make before, during, and after AI implementation.
Topics discussed to include:
The range of niche business challenges that AI can help solve is huge. Reflecting this is the exponential increase in the number of “narrow AI” vendors on the market, with tailored and highly specialised solutions to several business process issues.
This has, naturally, resulted in a lot of businesses adopting a “bolt-on” approach to AI. This, whilst being capable of producing ROI in the short term, could end up resulting in a disparate, siloed AI architecture that will prevent businesses from ever “breaking the glass ceiling” when it comes to engineering an end-to-end, AI powered business.
This session will explore how to:
By making sense of their data, businesses are empowered with the ability to manage and process large volumes of complex data to make better decisions, increase efficiency and establish a viable starting point for future AI and machine learning initiatives.
This session will explore
Everyone talks about AI and Machine Learning having a significant impact on businesses but transforming enterprise architecture to leverage and effectively use these technologies is not that easy. This talk will cover how to develop strategies for building out successful cognitive capabilities and share some of the best practices for successful adoption of cognitive enterprise architecture.
Cognitive elements such as machine learning, natural language processing, or chat can add power and adaptability to automation solutions, extending their capability well beyond what is achievable with traditional rules-based processing. This session will explore the potential of cognitive process automation, with examples of implementations and the benefits they have created.
Whether it consists of building internal data science capability, integrating AI specialists into lines of business, opening an innovation lab, purchasing new tools, or collaborating with external partners - the range of choices can often be a road-block to getting AI projects off the ground in the first place.
This panel will explore:
This session will explore: