Unlock AI capabilities for your customers
In order to retain a critical line of business, Zurich adopted Mendix to build the Terrorism Data Capture (TDC) application, which fully automates the data entry process, manages information centrally, and generates accurate reporting. The success of TDC served as inspiration for more innovative projects, such as FaceQuote, a multi-channel application utilizing facial recognition technology to estimate a person’s age, providing a life insurance estimate alongside an invitation to Zurich’s formal life insurance application tool. In this session you will see how you can use Mendix enterprise low-code to deliver cost-saving and innovative solutions with AWS AI.
What is Together, We Innovate?
Together, We Innovate is a virtual event designed to help you accelerate your cloud computing journey with help from trusted Amazon Web Services (AWS) Partners. Sessions are delivered by accredited partners who have demonstrated technical proficiency in specialized solution areas and customers who have successfully used AWS Partner solutions to transform their businesses.
Speaker
Product Marketing Manager, Mendix
Abel Verweg is an experienced Expert Services Consultant for digitalization projects in the manufacturing and insurance sectors. On the technical side, he worked closely with R&D for the successful launch of Mendix’ workflow editor, and also contributed to the development of Control Centre. With his extensive technical experience in low-code platform, Abel has been driving marketing content idealization and creation in APAC.
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Session Details
This webinar explores how AI technology is revolutionizing financial processes in the media sector. It will provide insights into AI's role in enhancing accuracy, efficiency, and strategic decision-making in finance. You will hear first hand from Stanley Henry as he shares The Attention Seeker’s experience with adopting AI to scale their financial processes including the challenges, lessons learnt and benefits. The session aims to equip leaders with knowledge and strategies to leverage AI in their financial functions. |
Speakers:
Founder and Managing Director, The Attention Seeker
Stanley Henry, founder and managing director of The Attention Seeker, a business he started in his mates spare bedroom that’s now a global leader in short form video for personal and company brands. A persistent learner, Stan is constantly experimenting with and learning about technology and its application within the workplace.
Founder, Arcanum AI
Asa leads Arcanum with over 15 years in business development and a deep dive into applied AI solutions for the past 7 years. His vision for AI is not just technological advancement but its potential for global betterment.
Join Devika, a boutique software development agency as we discuss the implementation of AWS Bedrock for our client, GoTo: the app that connects travellers with work and accommodation options. In this webinar we will dive into the business and technical challenges driving adoption of AI, the implementation process and the benefits realized to GoTo from this project. |
Speakers:
Managing Director and Co-Founder, GoTo
David Tallant is the Managing Director and Co-Founder of GoTo, an all-in-one travel app that helps backpackers to make friends, find work and book travel in Australia.
Head of Product & Services, Devika
Byron Papanikolaou is the Head of Product & Services at Devika, with over seven years of experience in the technology industry. Byron's expertise spans software development, gaming, and interactive entertainment. He now leads a team of 10 software developers and projects across many industries.
Embark on a transformative journey with Sebastian Scholz, CTO at tripleSdata, and Sachin Sharma, Director at Minfy, as they delve into the groundbreaking intersection of sports analytics and cutting-edge AI/ML technologies. Globally recognized for pioneering benchmark analytics, Scholz shares insights into tripleSdata's commitment to innovation and excellence. Together with Sachin Sharma, they unveil the collaborative success story, demonstrating how AI/ML solutions, guided by Scholz's sports analytics passion and Sharma's strategic technology expertise, have revolutionized the landscape. Join this webinar to gain profound insights into challenges, advancements, and the dynamic future of AI/ML-driven sports analytics, positioning tripleSdata and Minfy at the forefront of this industry evolution. |
Speakers:
CTO & Co Founder, tripleSdata
Sebastian Scholz, CTO at tripleSdata, is globally recognized for his passion in sports analytics. With a focus on engineering excellence, he pioneers benchmark analytics in sports and racing industries. Sebastian's unwavering commitment to innovation shapes tripleSdata's culture, ensuring the delivery of exceptional AI-driven solutions.
Director & Co Founder, Minfy ANZ
Sachin Sharma, Director at Minfy, brings two decades of experience delivering technology services globally. His expertise lies in digital transformation, business strategy, and guiding businesses into new territories through innovative cloud and emerging technologies. Sachin's leadership is integral to Minfy's collaborative success with tripleSdata in AI/ML solutions for sports analytics.
Client Partner & AIML Evangelist, Minfy ANZ
Shinduri is the Head of Pre-sales & Client Partnership at Minfy, ANZ. She is a tenured technical leader with 15+ years of experience in strategy, technology, transformation, and leadership helping customers across different sectors. Prior to Minfy, Shinduri was a Manager, Solutions Architect for ISVs & SaaS Companies in AWS UK. Before AWS, Shinduri worked at Deloitte and Accenture where she focused on helping businesses transform with SAP Business warehouse and SAP HANA.
Sales Manager, Minfy ANZ
Daragh McGough is a dynamic Sales Manager recognized for his ability to drive business growth and nurture client relationships. He is highly regarded for his effective communication skills, customer-centric approach, and talent for building strong partnerships.
Generative AI is being touted as a game changer for retailers wanting to personalize customer experiences and optimize internal processes. But that doesn’t mean to say predictive AI and more traditional machine learning techniques should be overlooked, especially as these approaches can still ensure retailers stay one step ahead of the game. Join us to hear from a panel of industry thought leaders and AI/ML experts with their thoughts on how retailers can harness and leverage the hottest trends in tech. In addition to retail specific use cases at both a startup and enterprise level, we’ll also discuss the challenges associated with AI/ML, how to overcome them and what the future has in store. |
Speakers:
Product & Technology Consultant, ex-Head of Digital Technology, Target Australia, Lodge Consulting
Drew is a pragmatic product and technology professional who has held leadership roles at Target Australia, Envato and ASOS. He has over 18 years experience in product management, software development and people management across a number of industries including eCommerce & pure technology products.
Machine Learning Principal Consultant, DiUS
Shahin’s professional experience spans over 15 years and includes generative and predictive AI, machine learning, data engineering, cloud architecture and full-stack product development. He is passionate about staying across the latest research in state-of-the-art machine learning models and techniques and applying them to real-world commercial problems.
Head of Retail/CPG APAC, Amazon Web Services
Robyn has almost two decades of CPG, retail, and data analytics experience spanning merchant buying, category management, product development, analytical consulting, and executive leadership. Previously, Robyn was an executive at Quantium within the FMCG consulting practice, and has held management roles at Coles, L’Oreal Australia and Unilever.
Sr. AI/ML Partner Solutions Architect, Amazon Web Services
Sara van de Moosdijk, simply known as Moose, is a Partner Solutions Architect for Artificial Intelligence and Machine Learning (AI/ML PSA) at Amazon Web Services (AWS) in Australia. She helps AWS partners build and scale AI/ML solutions through technical enablement, support, and architectural guidance. Drawing on experience from her previous role as an AI consultant, implementing and deploying machine learning projects in EMEA and NAMER, Moose aims to make machine learning accessible to all levels within an organization.
Discover how HDFC Life partnered with Lumiq to better customer engagement, enhance cost savings and boost ROI by implementing a generative AI based solution which uses customer attributes to identify the most relevant image for campaign generation. Explore different use cases from creating custom segmentation, image and text generation to image selection for your campaign management. |
Speakers:
Co-Founder/CPO, Lumiq
Vaibhav Dobriyal, better known as Dobi, is the Co-Founder and Chief Product Officer of LUMIQ, a leader in FSI Data & Analytics. A Master of Technology graduate from the illustrious Indian Institute of Technology (IIT) Kanpur, Dobi has a proven track record of delivering successful product initiatives globally, demonstrating a strong commitment to advancing the field of FSI Data & Analytics.
Partner Development Specialist for Data Analytics & Machine Learning, Amazon Web Services
Ankit Kandoi is a Senior Partner Development Specialist for Data Analytics & Machine Learning at Amazon Web Services (AWS India). He comes with an experience of 10+ years of having helped organizations build Data Analytics, AIML & GenAI practice through centralized data storage, data governance, visualizations ,insights & analytics capable of delivering effective & efficient business decisions.
In order to retain a critical line of business, Zurich adopted Mendix to build the Terrorism Data Capture (TDC) application, which fully automates the data entry process, manages information centrally, and generates accurate reporting. The success of TDC served as inspiration for more innovative projects, such as FaceQuote, a multi-channel application utilizing facial recognition technology to estimate a person’s age, providing a life insurance estimate alongside an invitation to Zurich’s formal life insurance application tool. In this session you will see how you can use Mendix enterprise low-code to deliver cost-saving and innovative solutions with AWS AI. |
Speaker:
Product Marketing Manager, Mendix
Abel Verweg is an experienced Expert Services Consultant for digitalization projects in the manufacturing and insurance sectors. On the technical side, he worked closely with R&D for the successful launch of Mendix’ workflow editor, and also contributed to the development of Control Centre. With his extensive technical experience in low-code platform, Abel has been driving marketing content idealization and creation in APAC.
Join Moneythor CEO, Olivier Berthier, for an insightful exploration of the transformative influence of AI/ML on the future of personalization in banking. In this engaging session, Olivier will reflect on the evolution of personalization to date and the profound impact it has had on customer experiences within leading banks such as CIMB, Trust, NAB, and ANZ. Drawing from real-world examples, Olivier will delve into the innovative strategies being implemented by Moneythor to leverage AI/ML technologies in order to reshape customer experiences for the banking industry. |
Speaker:
CEO & Co-founder, Moneythor
Olivier Berthier is the CEO and co-founder of Moneythor and has over 20 years experience in the financial services space. Moneythor is the leading provider of data-driven and personalized experiences for financial services.
With such rapid advancements in the state of the art for both high fidelity simulation and machine learning in the CAE and CFD space, synergies between Siemens and AWS have never had so much to offer to engineering teams. Let’s take a look into modern industry workflows and use cases for simulation practitioners that want to leverage machine learning as a supplement to their high-performance computing (HPC) activities. We will review customer use cases and successes for Siemens Simcenter and AWS products, then cover the Simcenter AI/ML landscape of products. The goal of this presentation is to provide practical guidance on how you can integrate machine learning into your simulation workflows. |
Speaker:
Senior AI/ML Technical Specialist, Siemens Digital Industries Software
Dr. Justin Hodges is the AI/ML technical specialist in product management for Siemens' portfolio of simulation and test software (Simcenter). He earned his bachelors, masters, and Ph.D in Mechanical Engineering at the University of Central Florida in thermofluids, and his career path since 2017 is to democratize AI to the broader engineering simulation community.
By combining AI-assisted carbon measurement management with deep industry & sustainability expertise, and machine learning technology, Terrascope helps solve the data management, emissions reduction planning and implementation challenges that large enterprises face to decarbonize their operations and complex supply chains. This session will also feature case studies from Terrascope's clients including Pokka, Mitsubishi Agri Alliance, and also a global enterprise player in the US. |
Speaker:
Head of Data Science, Terrascope
Siang Hou is an accomplished data science leader who blends technical expertise with strategic vision and product development. At Terrascope, she leverages the power of AI and machine learning to enhance emissions measurement certainty and repeatability.
Speakers
Douglas Park
Sr. Solutions Architect – Amazon Connect, AWS
Elias Sayigh
Sr. Solutions Architect – Amazon Connect, AWS
Aurelien Plancque
Sr. Solutions Architect – Amazon Connect, AWS
Ritesh Khanna
Sr. Solutions Architect – Amazon Connect, AWS
Speakers
Wendy Kho
Sales Lead, AWS
Yew Wei Sin
SMB Account Manager, AWS
Thalia Bondoc
CEO & Co Founder, Eduloco
Rina Ho
CEO & Co Founder, Pistil Sdn Bhd
Brianna Chang
Product VP, PathLabs
Jia Qin Choong
Solutions Architect, AWS
Nurul Najihah
Solutions Architect, AWS
Arun Surendran
Solutions Architect, AWS