NextBigTech Asia 2021 Conference Agenda
Artificial Intelligence isn’t just a new set of tools. It is the new world and it’s everywhere! From automation to augmentation and beyond, AI is already starting to change everything. The anticipated big data and AI conference, NEXTBIGTECH ASIA 2021 is a unique opportunity to explore what the new era of AI means, how AI’s transformational potential can be best used in creating a better future for all mankind not forgetting the policy and decision-makers interested in leveraging the technological potential for a brighter and structured future. Aiming to grasp the attention of over 100+ participants from across the industries such as manufacturing, food & beverages, automotive, telecommunications, and more, NEXTBIGTECH ASIA 2021 plans to channel 40+ innovation experts to share transformational knowledge onto the future upcoming technological minds.
In-Conversation: Framework in Place; Are We Ready for the Digital Marathon
Artificial intelligence (AI) adoption at government-level is increasing market demand across Asia Pacific, with regional revenue expected to reach US$29.3 billion by 2024. Soon, almost every industry will depend on these machineries to bring benefits for a quality lifestyle in an ecosystem. However, with the advancement in this innovation, there is still one unresolved issue – digitalization can easily be hacked. This session will be discussing on:
- As geopolitical polarisation around certain technologies intensifies, how has countries within the Asia Pacific region reacting to the rise of the robots and other AI-driven technologies challenging cities with the implausible disruption and costs of cyber-attacks.
- With the establishment of the AI unit to support the setting up of the National AI Framework, Malaysia’s ecosystem is to capitalize in prioritising the cooperation with private sectors, multiplying the number of joint experimental projects that draw on the expertise and funds – of global AI players.
Noraisha Yusuf, Data Scientist, INVOKE, Malaysia
Andrew Claster, Former Deputy Chief Analytics Officer, Obama for America & Data, Analytics and Polling Consultant, Claster Consulting
In:Conversation: F&B Data Analysis Sees the Future of What’s Next
The market value for the incorporation of artificial intelligence in the food and beverage market was estimated at USD 3.07 billion in 2020. Analyzing and mimicking human behavior by collecting and analyzing millions of data sets concurrently seems to be the formula. Foreseeing a reach of USD 29.94 billion by 2026, the answer to many upcoming food or flavour trends has had less to do with human research and more with the power of big data and artificial intelligence (AI) learning. So how does this harnessing of technology translate into the next flavor or trend? Hear from the panel members on:
- AI being a game-changer with the ability to access higher quality data with more precision eliminates many of the errors and biases that can stem from human-led research and data collection provides insights in mere hours.
- Helping brands stay ahead of trends and competition by harnessing rich insights to respond to evolving consumer preferences and demands in real-time enhances the privacy measures with sensitive information or data.
Moderator: Vivek Sharma, Managing Director, Consumer Goods Industry Lead, Accenture, Singapore
Speaker: Chan May Ling, Chief Marketing Officer, KFC, Malaysia
Panel Discussion: 5G + AI = Sky’s the Limit
Meeting customers’ increasingly high expectations drove the global logistics industry straight into the arms of AI solutions with an expected increase to a value of $3,215 billion by the year 2021. 5G on the other hand has the ability to transmit data in under a millisecond, adding it to high-value manufacturing processes letting errors to be detected and prevented on a scale not possible with other wireless communication methods. Manufacturers need to be prepared to invest in infrastructure upgrades, and early adopters will face the technical-support challenge of retrofitting 5G with existing legacy equipment and networks. Hear from this session on:-
- Using 5G to reduce the error rate from 25 to 15% lowering the overall production cost of each blade with smart factories running on data and artificial intelligence but connectivity forms the backbone of operations.
- Managing obsolescence and ensuring plants continue to make productivity gains without overhauling the entire plant machinery for a more efficient production through technology and automation with full throughput and zero downtime.
Moderator: Pang Mei Yee, Global Head of Analytics and Strategic Logistics Consulting, DHL Consulting, Singapore
- Dr Seema Chopra, Global Technical Leader, Boeing, India
- Ravinder Singh, Former Chief Information and Innovation Officer, Tata Singapore Airlines (Air Vistara), India
Using Data Science & AI to improve Customer Experience
Dr Angshuman Ghosh, Head of Data Science, Sony Research India
Disruptive Technologies For Industry 4.0
The world has forever changed and during these challenging times, industries looked no further to innovate to both adapt and gain competitive advantage. Many are ‘attacking’ the data and artificial intelligence head on to drive their products and get the revenue needed. However, many are still fuzzy on the angels to kick start a digital product campaign and to achieve rapid growth of customer base using data science. Join us as the Chief Data Scientist from a leading Indonesian telecommunications company, Smatfren on the possible future scenarios while displaying it on an AI based interactive simulation board.
Dr. Tuhin Chattopadhyay, Founder & Chief Executive Officer, Tuhin AI Advisory, India
Panel Discussion: Everyone is Depending on Telcos Giant Transformation
Averagely Asians consumed 16.64GB per month which is a 30% increased data consumption given the impact of the pandemic. Telecommunication companies with the deployment of AI would have the upper hand with the ability to cope with these fluctuating demand levels, adjustment to supply chain disruptions and sharp shifts in consumer confidence and priorities. With the evolution of traffic over the network, hear from the experts on:-
- Configuring fixed-line and the combination of VPN mobile-network bundles forecasting a more accurate demand, network load anticipation and capacity adjustments with an automatic output
- AI’s incorporation in telcos leading the market by utilizing the data and analytics capabilities to build new business models and to create ecosystems accelerated the demolition of organizational silos.
Moderator: Quah Mei Lee, Associate Director, Telecoms and Payments Strategy, ICT Practice, Frost & Sullivan, Malaysia
- Thomas Lynch, Analytics Collective Brain Lead, Axiata Group Bhd, Malaysia
- Saad Sheikh, Telecom Principal Consultant, Dell Technologies, Australia
Revolutionizing Learning; Redefining Individuals
As per the Asia-Pacific AI market in the Education Sector, the use of AI in the education industry will grow by 47.5% through 2025 as the citizens of the world are becoming more adaptive and open to technology tools. One of the constant changes in the world is technology. Consistent upskilling and reskilling knowledge has slowly become the norm to stay relevant in this digital economy. Listen from the speaker on AirAsia’s tryst with technology with personalized learning experience—overcoming one of the biggest limitations of our modern education model with AI becoming a great equalizer in education and a key differentiator across institutions.
Aireen Omar, President, airasia Digital, Malaysia
Long Overdue: AI’s Potential Should Have Been Unlocked By Now!
With the global artificial intelligence market expected to reach $267 billion by 2027, 62% of consumers are willing to submit data to AI in order to have a better experience with their businesses in the industry. Even so, the debate is never over with the lingering thought of people wondering, “Is AI dangerous?” with people worried about losing to these machineries. Hear from the expert on the market driven development and AI adoption’s establishment in 3 major areas: –
- Formation of a regional policy framework supporting AI’s development in the country and in Asia.
- Development of the talent pool in AI and the usage at the local level especially with non-technology savvy citizens.
- Highlighting the essence of AI with its possible contribution with positive social outcomes promising a future dedicated to AI’s potential to transform lives.
Arunima Sarkar, Lead, Artificial Intelligence and Machine Learning, World Economic Forum, India