- How AI will improve evolving threat detection and mitigate security risks
Utilizing the right platform with machine learning and AI tools to accurately analyse and process data for deployments, while saving costs
- In 2019, the G20 in Osaka declared their commitments to a human-centred approach to AI. However, the details are paramount and there are many AI ethical dilemmas. What are the ethical and legal issues of AI? What are the risks and challenges facing industries? How does Singapore’s Model AI Governance Framework provide guidance to businesses in addressing these issues?
- How do businesses ensure ethical considerations are being addressed at every stage of AI project? What are humans’ roles in making sure AI systems are operating within human ethical and moral bounds?
- Case studies
Predictive and proactive systems driven by AI dramatically improve network planning and demand forecasting. The combination of ML, IoT and sensor data enables businesses to avoid risks, anticipate events and come up with solutions.
- Procure and process large datasets and extract useful information
- ML models are used to improve manufacturing yields, reduce downtime and maintenance costs
- Case studies
- The COVID-19 pandemic has put tremendous strain on the healthcare sector globally. AI operational applications enable hospital to deliver high utilisation of assets, low wait times for patients, and a plenty of available slots for patients seeking an appointment.
- AI combined with robotic process automation can analyse workflows, predict future care demand, and effectively allocate hospital resources.
- It will enable healthcare providers to streamline workflows, prioritise high-risks members in a timely manner and ensure better disease management.
- Data as a currency – how to accelerate value from maximizing smart data from acquisition and transmission?
With the explosion of increasing data, data is meaningless until it becomes actionable – relevant data needs to be processed in order to automate a successful business transaction, where smart data becomes key to make sense of this
Facilitating informed decisions strategically with data analytics at a faster pace
Leveraging the power of AI in regulatory compliance for financial services has a range of benefits. It makes regulatory processes simpler, smarter and more value driven.
- AI augments the skills of compliance officers to increase accuracy and efficiency
- Lay the groundwork for AI adoption
- IT and OT teams holding different priorities poses a difficult for safeguarding devices and IoT systems as they do not speak the same language
Turning to Edge computing as a solution to bring IT and OT together, as data is processed closely to the source, and computation times are reduced
- AI and robotics technologies could heavily contribute to the long-term sustainability and profitability of healthcare system. Successfully implementing them into organisation’s business operations would improve precision of tasks, reduce workload of healthcare professionals and enable them to spend more time with patients and focus on more important activities.
- How are AI and robotics increasingly becoming an integral part of the healthcare ecosystem? What are the current applications of AI being developed and used in healthcare?
- Case studies
With AI, big data and automation, work is changing. Will the AI systems, with their superior speed, processing power, and strengths in many ways, replace humans in companies? How do businesses adapt to the change and lead the new way of working?
- Will AI manage human workers? Can algorithms accurately and fairly make assessments of workers’ performance? What are the ethical implications of AI adoption in the workplace?
- How do government, industry, education agencies work together to equip current the workforce with the relevant skills needed in the era of AI? How to retain talents?
- What actions need to be taken to ensure fair, accurate, accountable and ethical AI solutions
- Developing effective asset inventory - every IoT device connected to the network needs to be accounted for and evaluated
Exploring ways to certify and ensure that IoT devices are secure and safe, and finding a standardisation for this as it currently lacks this
How edge computing improves security and privacy by keeping sensitive data within the device
Building robust and resilient devices by making use of data and insight when connecting equipment
- AI has been used in factories to automate processes, reduce critical errors, improve productivity and boost safety measures. How do businesses identify and validate use cases? How do they ensure data quality and gain actionable insights from the vast amount of data generated through different systems?
- In order to build trust in AI, engineers and workers need to understand why and how certain decisions or predictions have been made by the algorithms. What are the solutions to ensure complex models are interpretable?
- A big concern for manufacturers is the downtime. AI-enabled predictive maintenance can maximise the availability of critical systems and minimise the costs of repair and maintenance.
- How do healthcare industry use AI and data to improve the healthcare ecosystem and broaden access to medicine? How do technologies enhance the efficiency of healthcare delivery and make medicine more personalised and precise.
- What are the current platforms available for health care data collection and analysis?
- What are the key steps to ensure the delivery of ethical and responsible AI solutions?
Technology has proven when used correctly it can better the world and improve the quality of life for many less privileged. The development and adoption of smart automation and artificial intelligence has shown the potential to improve well-being more broadly. When the spotlight of technology adoption is focused purely on innovation-led growth rather than on economic factors in labour reduction and cost savings, it not only raises productivity and GDP growth, but generates improvement across the board.
This session will deep dive into the significant potential that technology has to help society achieve better well-being - calculate the impact of technology adoption on welfare - and examine how technology like artificial intelligence, Internet of Things, augmented reality, robotics, connectivity and digital fabrication can provide greater good to society.
Amazing image enhancements have arrived! Greater color volume, increased dynamic range allowing for brighter and blacker image elements, and many, many, many more pixels, provide a much different, much enhanced viewing experience.
In this session you will learn about some of the science of enhanced imaging, practical applications, and where the implementation of these enhancement stands around the world.
Interoperability is paramount to ensuring one vendor’s solution will work with another vendor’s solution. Interoperability of software and equipment means not being locked in, but rather having a wider range of solutions.
SMPTE’s Standards Community has evolved as the media & entertainment industry has evolved significantly over the past several years. Find out what standards are new, why they are important, and how SMPTE standards is supporting the future of media & Entertainment.
Accelerated by the events of 2020, content creation has taken giant leaps from being a primarily centralized, hardware-centric workflow, to one that utilizes software applications and “The Cloud”.
Software Defined Workflows enables content creators much greater flexibility and access to resources around the globe. But what is a Software Defined Workflow and how has it been applied? Find out in this exciting and informative session
How 5G is fuelling Asia’s rise as the world’s tech powerhouse
The social and economic big wins in APAC from 5G across industries
Showcasing he potential of 5G, AI and IoT for further growth and productivity
- Envisioning connectivity in the home: what should we expect?
- Priorities and investment opportunities: is there a new proposition for in home connectivity?
- Understanding the home offering: 5G, fibre and FWA
- How did Covit-19 change the day to day of operators?
- How were networks impacted and how did different operators react?
- How has Covit-19 impacted business priorities and 5G?
Understanding coronavirus: the impact of COVID-19 on the broadband network
Shifting demands: managing network requirements from city centers to suburbia
Post COVID: what long term impacts can we expect on the broadband network?
Delayed deployments? How will COVID impact 5G and FWA installation in the region?
Flexibility and next-generation services: supporting telcos to meet consumer needs post-COVID
Providing connectivity to areas forgotten by traditional players
Revolutionizing the broadband business model: introducing social enterprise
From telemedicine to education, and agriculture to e-governance: how broadband can transform services
How has COVID-19 transformed consumers’ broadband needs and requirements?
A new enterprise model? Working with SME’s to support home workers
Imagining the ‘new normal’: what’s the future of broadband after the lockdown?
What will broadband consumption look like in the next year?
Unmanned solutions: tools to digitize the broadband offering
A digital telco: solutions to transform broadband provision for a digitally connected world
Investing in the home router as the heart of a sophisticated connection
Harnessing VLAN technology: delivering the speed and latency requirements for different applications and different users in the home
Streaming, gaming and smart home connections: understanding the technical requirements for broadband connections
Identifying new partnerships to promote and enhance broadband services and experience
Generating revenue: working with gaming and streaming providers to monetize services
Imagining new services and offerings: from work to education, religious services to equipment rentals, what do consumers want?
Bundling: the future of broadband service offerings?
Broadband and the smart home: supporting new connected services through Wifi6 and new technologies
From 1Gbps to 10GBps and beyond: needs and opportunities in Asia Pacific
Migrating cable: challenges in deployment
Introducing 10GBps fiber: what’s the business case for ever faster speeds?
Speed offer guarantees: delivering a seamless customer experience
From the consumer to enterprise: how can higher speeds build new opportunities?
- The next level of AI enabled network orchestration
- The power of dynamic orchestration
- Teaching networks to self-heal
Reaping the benefits of effective data management
Achieving data consistency for a simplified network architecture
Why data management is critical to reach the full 5G potential
Data driven customer experience improvement: what can data teach us?
The data opportunity: the foundation of AI and automated services
Building efficient capital management through automated services
Achieving closed loop automation
Deploying networks that automatically register and configure themselves
Automating service-based architecture to meet the needs of enterprise customers
Transform the effectiveness of your AI with 5G and the edge
Utilising the edge to reduce bandwidth and process data closer to the customer
Processing data across 5G networks, the edge and the cloud
Planning AI into the 5G roll out roadmap
Optimizing network performance and building new revenue streams
Exploring AI powered network resource planning and optimisation
Reducing the complexity of network slicing
Machine learning approaches for end-to-end network slice orchestration
The real-world use cases emerging from AI powered network slicing
- Developing effective asset inventory - every IoT device connected to the network needs to be accounted for and evaluated
Exploring ways to certify and ensure that IoT devices are secure and safe, and finding a standardisation for this as it currently lacks this
How edge computing improves security and privacy by keeping sensitive data within the device
Building robust and resilient devices by making use of data and insight when connecting equipment
- IT and OT teams holding different priorities poses a difficult for safeguarding devices and IoT systems as they do not speak the same language
Turning to Edge computing as a solution to bring IT and OT together, as data is processed closely to the source, and computation times are reduced
- Data as a currency – how to accelerate value from maximizing smart data from acquisition and transmission?
With the explosion of increasing data, data is meaningless until it becomes actionable – relevant data needs to be processed in order to automate a successful business transaction, where smart data becomes key to make sense of this
Facilitating informed decisions strategically with data analytics at a faster pace
- How AI will improve evolving threat detection and mitigate security risks
Utilizing the right platform with machine learning and AI tools to accurately analyse and process data for deployments, while saving costs
- In 2019, the G20 in Osaka declared their commitments to a human-centred approach to AI. However, the details are paramount and there are many AI ethical dilemmas. What are the ethical and legal issues of AI? What are the risks and challenges facing industries? How does Singapore’s Model AI Governance Framework provide guidance to businesses in addressing these issues?
- How do businesses ensure ethical considerations are being addressed at every stage of AI project? What are humans’ roles in making sure AI systems are operating within human ethical and moral bounds?
- Case studies
- AI has been used in factories to automate processes, reduce critical errors, improve productivity and boost safety measures. How do businesses identify and validate use cases? How do they ensure data quality and gain actionable insights from the vast amount of data generated through different systems?
- In order to build trust in AI, engineers and workers need to understand why and how certain decisions or predictions have been made by the algorithms. What are the solutions to ensure complex models are interpretable?
- A big concern for manufacturers is the downtime. AI-enabled predictive maintenance can maximise the availability of critical systems and minimise the costs of repair and maintenance.
Leveraging the power of AI in regulatory compliance for financial services has a range of benefits. It makes regulatory processes simpler, smarter and more value driven.
- AI augments the skills of compliance officers to increase accuracy and efficiency
- Lay the groundwork for AI adoption
Predictive and proactive systems driven by AI dramatically improve network planning and demand forecasting. The combination of ML, IoT and sensor data enables businesses to avoid risks, anticipate events and come up with solutions.
- Procure and process large datasets and extract useful information
- ML models are used to improve manufacturing yields, reduce downtime and maintenance costs
- Case studies
- How do healthcare industry use AI and data to improve the healthcare ecosystem and broaden access to medicine? How do technologies enhance the efficiency of healthcare delivery and make medicine more personalised and precise.
- What are the current platforms available for health care data collection and analysis?
- What are the key steps to ensure the delivery of ethical and responsible AI solutions?
- The COVID-19 pandemic has put tremendous strain on the healthcare sector globally. AI operational applications enable hospital to deliver high utilisation of assets, low wait times for patients, and a plenty of available slots for patients seeking an appointment.
- AI combined with robotic process automation can analyse workflows, predict future care demand, and effectively allocate hospital resources.
- It will enable healthcare providers to streamline workflows, prioritise high-risks members in a timely manner and ensure better disease management.
With AI, big data and automation, work is changing. Will the AI systems, with their superior speed, processing power, and strengths in many ways, replace humans in companies? How do businesses adapt to the change and lead the new way of working?
- Will AI manage human workers? Can algorithms accurately and fairly make assessments of workers’ performance? What are the ethical implications of AI adoption in the workplace?
- How do government, industry, education agencies work together to equip current the workforce with the relevant skills needed in the era of AI? How to retain talents?
- What actions need to be taken to ensure fair, accurate, accountable and ethical AI solutions
- AI and robotics technologies could heavily contribute to the long-term sustainability and profitability of healthcare system. Successfully implementing them into organisation’s business operations would improve precision of tasks, reduce workload of healthcare professionals and enable them to spend more time with patients and focus on more important activities.
- How are AI and robotics increasingly becoming an integral part of the healthcare ecosystem? What are the current applications of AI being developed and used in healthcare?
- Case studies