To effectively harness the power of AI in the aviation sector, the industry should start to develop and adopt an AI ethical framework. In this event, our speakers will share their perspectives on the responsible application and the social values of AI in aviation for the future.
Industry: Aerospace / Space
We have entered a new era where Artificial Intelligence (AI) enhances human decisions. Every industry is going through a significant transformation - the food industry is no different. Food innovation, mainly in flavour and ingredient innovation, which previously required significant manual research, can be accelerated much more efficiently with the help and proper use of Artificial Intelligence.
Recent times has shown rapid accelerations in companies adopting various technology-driven transformation strategies and tools. This move is widely agreed to be an urgent necessity to prevent disruption and obsoleteness to the company’s strategies and business models. The implementation and adaptation of these AI and Data systems and workflows to existing infrastructure is often a challenge, but many companies have risen up to the test and are succeeding. How do these companies adapt to the ever-changing landscape and ensure their workforce is able to stay relevant amidst the disruptions?
Artificial Intelligence (AI) promises to revolutionise our daily lives - from AI-powered advisors that help us make decisions when investing in the financial markets to AI-powered machines that serve our health or other needs. AI will also drive more efficient industrial processes, delivering smarter networks and better products and services at reduced costs. While these developments claim to improve our daily lives, they also present new challenges over privacy, data protection and ethics. Despite the discussion of these challenges being cross-sectoral, a sectoral-specific dialogue is also needed as the considerations, concerns, and solutions differ in each sector.
This Sectoral Dialogue is an annual initiative run by the Singapore Management University's Centre for AI and Data Governance. Every year, privacy and data protection concerning the development and use of AI is examined in a specific sector. This dialogue will begin with a roundtable with key stakeholders, followed by a Seminar with a panel of academics from different jurisdictions. This initiative aims to develop interdisciplinary and comparative cutting-edge research that contributes to this ongoing debate while providing sectoral-specific recommendations for tackling the challenges associated with privacy and data protection in the AI era.
This second Sectoral Dialogue presented with SGInnovate will focus on the privacy and data protection challenges of implementing AI in the healthcare sector. During the Roundtable session, academics, key industry leaders, and experts will discuss the issues relating to privacy and data protection that should be addressed to contribute to the responsible use of AI in healthcare. The discussion will also revolve around existing and proposed solutions, outstanding issues, and problems raised. The results from the Roundtable will form the basis for further research and study for a seminar projected to be held a couple of months after the Roundtable.
Date: 6 July 2021, Tuesday
Time: 10:00am – 12:00pm (Singapore Time / UTC +8)
Industry: Health and BioMedical Sciences
Morning Pitch is a pitching platform hosted by Deloitte Tohmatsu Venture Support. This platform helps startups form business alliances and partnerships with large corporations, corporate venture capitals and venture capital firms. The focus for this Morning Pitch is on AI and IoT.
These days, devices such as smartphones and smartwatches are commonly used for daily step count but did you know that the way one walks- the gait, reveals a lot more than just one’s fitness? Gait reveals an individual’s identity as well as physical attributes such as height and age. As such, this identifier can be used to secure smart devices, provide personalised services, and perhaps even detect walking abnormalities.
Industry: Health and BioMedical Sciences
The World Economic Forum estimates that 50% of the workforce needs reskilling in the next decade. This is a massive challenge, and it will happen on a global scale. Under the hood, many things are changing. Where in the past, education relied on a one-size-fits-all, study-once model, the future of education seems to be more personalised and continuous in nature.
In this panel discussion, we will therefore discuss how AI is changing the way we learn. We will look specifically at how reskilling can become a precision game, how models can infer skills of workers from information, how proximity between jobs can be calculated, and how policymakers, both corporate and global, aim to create value with this technology.
Originated in 2011 from Germany, the term Industry 4.0 encompasses “new technologies that combine the physical, digital and biological worlds, impacting all disciplines, economies and industries” as outlined by Professor Klaus Schwab in his book 'The Fourth Industrial Revolution'. Ten years on, the global manufacturing industry has been developing and adopting many Industry 4.0 innovations – industrial IoT, artificial intelligence, autonomous technologies, additive manufacturing, etc. It is worth recognising that Industry 4.0 is more than just technology-driven change. It is an opportunity for leaders, policy-makers, researchers and innovators to harness converging technologies that not only build smart factories but also augment human capabilities.
Generative Design incorporates design work with a combination of computing processes and Artificial Intelligence (AI) to solve engineering challenges. With technology, engineers are no longer limited to the constraints of one's imagination. Instead, engineers will have access to multiple solutions that the human mind could never conceive on its own.
In manufacturing, the application of Generative Design brings great value. For example, manufacturing new parts and components without any notion of how something is made or used often has to go through a long series of refining processes. Generative Design allows for a series of simulations to be built into the design process to identify the optimal solution in the manufacturing process, thus drastically saving time and workload. 3D printing then further supplements the process by providing the flexibility and capability to produce affordable and fast hardware to achieve the desired end-product. Working in tandem with each other, it is no wonder that such technologies are making waves in the manufacturing industry.
Join us in this event co-organised with NAMIC to understand how Generative Design and its application with 3D printing will pave the way to the future of manufacturing. Our esteemed speakers would be sharing more on practical applications of Generative Design and the advantages of its adoption.
Industry: Advanced Manufacturing
Artificial Intelligence (AI) has large potential to contribute to global economic activities. Various consulting firms have estimated that AI could contribute US$15.7 trillion to the global economy by 2030, and help boost business profitability by 38%, with the most use cases in sectors such as healthcare, manufacturing, transport and logistics, financial services.
In view of this, countries and companies around the world have been developing R&D plans and industry partnerships to unlock and realise the economic value of AI. Singapore announced two years ago the National AI Strategy, a whole-of-nation approach to transform businesses with AI, and is investing a record S$25 billion in the next five years in the country’s Research, Innovation and Enterprise capabilities. Elsewhere, the UK announced the AI Sector Deal, to provide a blueprint for how the country can continue to develop AI innovations. These efforts have helped develop London and Singapore into the top ranked cities in Oliver Wyman Forum’s Global Cities AI Readiness Index.
Jointly hosted by SGInnovate and the UK Department for International Trade (UK DIT), this event aims to bring together government, corporate and innovation leaders to learn their insights on how AI can bring value to various economic sectors and opportunities for international collaborations.
According to KPMG’s Autonomous Vehicles Readiness Index’s 2020 edition, Singapore was ranked first in the world for the level of preparedness for autonomous vehicles. Since the start of 2019, Singapore has taken significant steps towards encouraging testing, development, and the adoption of AVs, with several autonomous vehicle R&D trials already underway.
In this event, we dive deeper into Singapore’s readiness for autonomous vehicles by discussing factors such as safety, infrastructure, privacy, and regulatory frameworks. We will also be exploring ways to harness the full potential of autonomous vehicle technology to create a sustainable and reliable transport system for Singapore.
Industry: Urban Mobility (USS)