One of the biggest goals of any manufacturing professional is improving workflows and running a smooth shop floor with minimal downtime and high profitability. What is the key to unlocking this? Data.
Important decisions that impact the manufacturing process should always be based on cold, hard data and not guesses, wishes, theories, or opinions. Data-driven manufacturing is the way for manufacturing operations to drive efficient and responsive production systems and improve the bottom line. With the ongoing digital transformation and capabilities, and proliferation of the latest data-capturing technologies such as Internet of Things (IoT) devices and their applications of big data and analytics, manufacturers can effectively collect data in real-time and make informed decisions.
In this session, learn more about how you can transform data into actionable business insights for optimised production capabilities. Discover how data insights from the Industrial IoT and digitisation can drive production floor improvements and quality. Learn to maximise the value of data through analytics from real-time notifications to statistical process control for immediate gains and explore the potential of predictive maintenance with connectivity and data collection to enhance customer experience and enhance loyalty.
Topics: AI / Machine Learning / Deep Learning, Computer Science
Industry: Advanced Manufacturing
In the race to achieve the ever-increasing ambitions towards net-zero emissions, the voluntary carbon market is gaining momentum with keen buyers seeking to offset the climate footprint of their fossil fuels. Nature-based Solutions (NbS) - as actions that harness the power of nature to tackle social and environmental challenges - is a core foundation to achieving carbon neutrality for its way to build resilience to the consequences of warmer temperatures whilst helping to limit further rises by acting as carbon sinks.
Topics: AI / Machine Learning / Deep Learning, Deep Tech for Good, Startup and Corporate Open Innovation, Sustainability
Industry: Others
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.
Topics: AI / Machine Learning / Deep Learning, Startup and Corporate Open Innovation
Industry: ICT
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.
Topics: AI / Machine Learning / Deep Learning, MedTech / HealthTech / BioTech
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.
Topics: AI / Machine Learning / Deep Learning, Talent and Mentoring
Industry: Others
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.
Topics: AI / Machine Learning / Deep Learning, Industry 4.0 and Robotics, Startup and Corporate Open Innovation
Industry: Others
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.
Topics: AI / Machine Learning / Deep Learning, Others
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.
Topics: AI / Machine Learning / Deep Learning
Industry: Others
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.
Topics: AI / Machine Learning / Deep Learning, Others
Industry: Urban Mobility (USS)
In recent years, the convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) have been in the spotlight for defining the future of the Industry 4.0 revolution.
Topics: AI / Machine Learning / Deep Learning, Industry 4.0 and Robotics
Industry: ICT
Like many other countries, Singapore faces evolving healthcare demands, driven by a rapidly ageing population and increased prevalence of chronic diseases. Precision Medicine (PM) is an innovative approach. Scientists and doctors consider the patient’s genetic background, lifestyle, and environmental factors to pre-empt the development of diseases and optimise treatments. The National Precision Medicine (NPM) programme is a whole-of-government approach to explore how PM should be best deployed in Singapore to drive research insights, clinical innovation, and economic growth. Through NPM, we hope to contribute to Singaporeans living healthier lives and its eventual impact across other Asian countries.
Topics: AI / Machine Learning / Deep Learning, MedTech / HealthTech / BioTech, MedTech / HealthTech / BioTech
Industry: Health and BioMedical Sciences
With the ubiquitous presence of cameras (e.g. CCTV cameras, mobile phones, etc.), there has been an explosion of images and video data. While these visual data presents advantages and conveniences, they come with a cost: potential breach of privacy and confidentiality, particularly for information related to human poses and actions. In this event, Associate Professor Robby T. Tan will focus on the technical challenges and the possible solutions to predict human 3D poses from a monocular video.