Event Search Result | SGInnovate

  • Making A Tech Career Switch with PowerX

    Curious to know what a PowerX trainee learns? 

    Topics: Computer Science, Industry 4.0 and Robotics, Talent and Mentoring, Others

    Industry: ICT

  • Land a Tech Job with PowerX

    There is always a high demand for talent to fill tech roles such as software and product developers and cybersecurity professionals from startups to larger organisations.

    Topics: AI / Machine Learning / Deep Learning, Computer Science, Industry 4.0 and Robotics, Talent and Mentoring

    Industry: ICT

  • Digital Supply Chain Security and Data Privacy: Detect, Remediate and Protect from Threats

    Today's digital supply chains are just one click away for employees, suppliers and customers spread across the globe. Data breaches, ransomware attacks and malicious activities from insiders and attackers can occur at any tier of an organization's supply chain. Any risk to the integrity of the products and services being delivered, the privacy of the data being exchanged, and the completeness of associated transactions can have detrimental fiscal and operational ramifications.

    Topics: Computer Science, Others

    Industry: Logistics & Supply Chain

  • The Promise of Deep Tech: Sensor Data Quality in Smart Building

    With the rise of home and building automation, sensor devices are deployed in various IoT applications for monitoring indoor environmental parameters, such as temperature, luminosity, humidity and air quality. An IoT application may contain hundreds and thousands of sensors, which generate an immense amount of data. The data quality is crucial as the generated data provides input for building optimization and even drives decisions- while poor sensor data quality may lead to bad decision-making.

    Topics: 5G Technology, Advanced Materials and Engineering, Computer Science

    Industry: Built Environment (USS)

  • Made In Singapore: Data-driven Smart Manufacturing

    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

  • The Promise of Deep Tech: Data-Driven Approaches for Efficient Patient Care

    As the world grapples with an ageing population and high incidences of chronic diseases, the gaps in healthcare have prominently surfaced. While innovation, technology and data-driven approaches can improve health outcomes, such an approach often involves a massive amount of confidential data transactions (i.e. patient information) - a lucrative target for hackers and cybercriminals. Healthcare is the most targeted industry for data breaches.
    In this session, join our panel of experts to discuss how a data-driven approach can bring us closer to a more transparent and sustainable healthcare system, reduce healthcare costs, and promote better collaboration in the healthcare ecosystem. They will also discuss the challenges in securing health data, data sharing and the role of cybersecurity in designing the healthcare system's networks.
    Date: 5 Aug 2021, Thursday
    Time: 11:00am – 12:00pm (Singapore Time / UTC +8)

    Topics: MedTech / HealthTech / BioTech, Computer Science, Deep Tech for Good

    Industry: Health and BioMedical Sciences

  • What Lies Beyond: AI and Data Transformations

    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?

    Topics: AI / Machine Learning / Deep Learning, Computer Science

    Industry: ICT

  • Privacy and Data Protection in the Era of AI: A Dialogue for the Healthcare Sector

    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)

    Topics: AI / Machine Learning / Deep Learning, MedTech / HealthTech / BioTech, Computer Science

    Industry: Health and BioMedical Sciences

  • Cyber Resilience: Enterprise Cybersecurity and Digital Trust

    In the post-COVID world, the world sees greater importance of being interconnected through digital means. Cyber resilience is increasingly critical and imperative, as the world accelerates towards a more developed digital future.
    In March 2020, Singapore and Australia have renewed the 2017 Memorandum of Understanding (MOU) on cybersecurity cooperation, strengthening further and expanding collaboration as both countries develop a sound and resilient cyberspace infrastructure. In addition, digital trust, defined as the level of confidence users have to enable a high functioning cyber-physical world, has never been more important. Australia’s Digital Trust Report 2020 highlights the role of‘ digital trust’ plays in attracting investment and driving jobs growth.

    Topics: Computer Science

    Industry: ICT