Name: Resolving an Identity Crisis? Approaches, Impacts and Innovation for Fraud & KYC
Start: 2021-12-13T05:16:00Z
End: 2021-12-13T05:51:11.000Z
Location: BrightTALK

Webinars on analytics software for Advanced Analytics, Business Intelligence, Artificial Intelligence (AI), Risk, Marketing and IT.

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With international standards, such as IFRS17, it is transforming how insurers operate and if applied correctly can catalyze business transformation and growth. Come hear experts share their insights on:

- Addressing key challenges and proposing the right solution architecture
- Identify how IFRS 17 and regulatory requirements will change the modus operandi of insurers
- Understand the business value drivers which can be provided by the right IFRS 17 solution
- Leveraging data and analytics on service contracts and future revenue
- Journey towards IFRS 17 readiness

Speakers: 
- Martyn van Wensveen, Partner, APAC IFRS17 Campaign Leader, EY Hong Kong
- Charisse Rossielin Cruz, Partner, EY Philippines
- Kenneth Koh, Head of Industry Consulting, APJ, SAS

Positioning for Future Growth through Compliance of IFRS17

Watch this panel discussion where the industry Risk Experts shared insights on: 
- What are the top metrics to consider within ASEAN between E, S, and G?
- The varying degrees of data regulations and how it affects facing ESG risks?
- Is ESG seen as a legitimate qualitative measuring stick in ASEAN?
- Building a consistent ESG risk data scoring and proper standards

Speakers: 
- Brian CK Ho, Partner, Deloitte
- Li Sun Leong, Head of ESG, AIA Singapore
- Shuang Tao, Principal Solutions Architect, SAS
- Lu Yin, Principal Risk Advisor (Non-financial Risk), SAS

ESG Risk Data: Has ASEAN positioned itself for success?

2020-2021 jumpstarted the insurance’s entry into the digital age in Asia with ground-breaking changes, including unprecedented digitalization and rapidly evolving customer expectations. However, even as insurers rise to the challenge of limited close-contact engagement with clients, it has also introduced faced new challenges including a rise in fraudulent behavior. 

Asia-Pacific accounts for the highest percentage of the estimated US$1 billion insurance claim fraud. The lack of time, resources, and scale to combat the problem may mean continued losses.

Our speakers tackled some of the most critical challenges insurance firms and healthcare providers in Asia will face amid an accelerating mutation of the pandemic and hospitals in some ASEAN countries. 

Key highlights shared:
• The evolution of insurance fraud schemes during the pandemic
• Identify some of the impacts that have been felt by insurance carriers 
• How to protect against these new forms of fraud

Speakers: 
- Kenneth Koh, Head of Industry Consulting, APJ, SAS
- Cathy Zhang, Head L&H Claims | Director, Life & Health Business Management, Swissre Asia
- Darwin De Guzman, Head of Information Security, AIA Philippines
- Nirmal Paul, VP and Head - Fraud Prevention Unit & Claims Investigation, Bajaj Allianz Life Insurance Company Ltd.

Guide to Fighting Insurance Fraud Post-Pandemic

In this discussion with Information Security Media Group, we discuss:

How digital fraud has changed the operating environment globally and the complexity of the multiple attack vectors criminals are taking;
Key technologies to detect harder-to-identify fraud schemes of social engineering, cyber intrusions, and account takeovers;
Best practices to lead the transformation required to solve the complex challenges of identity, security, fraud management, and money laundering.

Resolving an Identity Crisis? Approaches, Impacts and Innovation for Fraud & KYC

Risk transformation with AI/ML can improve the top line and bottom lines of Banks. But AI/ML model governance, fairness is an important consideration in AI/ML adoption in Risk management departments.

Join this webinar as our experts discuss:
• Building a governance framework around AI & ML to ensure best decisions for risk management and what are the tools available to avoid reinvention of wheel
• How Banks can embed fairness in AI/ML models at scale
• Regulatory guidelines for using AI & ML and how to optimize the use of AI & ML
• Case study: Implementation of fairness principles into credit models

Speakers
- Matteo Crippa, Head of Corporate Models, Standard Chartered Bank
- Nor Zihan Binti Ismail, Group Head of Model Risk Management & Validation, Maybank 
- Terisa Roberts, Global Solution Lead – Risk Modeling and Decisioning, SAS 
- David Asermely, Global Solution Lead, Model Risk Management, SAS

Risk transformation with AI/ML

With the rise of digitalization, financial criminals have grown in complexity. This has caused a rise of AML cases, and with it are more false positives. We must adapt to this new environment while reducing costs. 

Watch this webinar to find out more about: 
• The complexity of modern financial criminals and understanding their methodology
• The fragmented data challenges to fight AML and comply with regulations
• Developments in transaction reporting that help to identify unknown risks
• The role of AI and ML detecting false-positives and how to find the real threats 

Speakers: 
- Marc Anley, Head of Forensic & Analytics, SEA, Deloitte
- Hamida Khan, Head of APAC FS, AML/CTF Advisory, BNP Paribas
- Ahmed Drissi, APAC AML Lead, SAS
- Manisha Khanna, Head, Cloud Data & Analytics, SAS

Fighting against and adapting to the next generation of financial criminals

Join us at this webinar as we cover key issues including:

- How to gain a deeper understanding of total customer experience to predict and improve Customer Lifetime Value/drives Customer Loyalty
- How to use user behaviour to deliver a differentiated user journey.
- How to delight customers with the right personalised experience and personalised offers in real-time

A Service Provider's Guide to Data-Driven Telco

In the panel discussion, we covered how decision-makers in manufacturing industries are leveraging analytics and data insights for supply chain efficiency, optimization of their yield, and predictive maintenance solution for Operations optimization.

SAS & ETCIO Digital Roundtable & Webinar in collaboration with Intel & Inspira

One year into the pandemic, it has become clear that no one can idly wait for things to go back to the way they were. Customer expectations are changing at an unprecedented speed, and businesses are responding by redesigning their operations. Resilience and future-readiness become essential in the reality we are in. The disruptions are happening, and how we prepare for and withstand the next challenge defines how we move forward.

Join this webinar to learn:
- Tackle the different applications of analytics from understanding customer behavior, optimizing assortments and improving merchandising plans
- Predicting and planning demand, to improving product promotions and keeping tabs of key performance indicators
- Learn how retailers can start getting their hands into analytics and gain a competitive advantage, significantly increase their productivity, and quickly adapt to dynamic market conditions

Retail Analytics: How can retailers satisfy today’s customers?

Manufacturing companies often need to deal with quality issues, scrap and rework in a timely manner to avoid cost and penalties. There are numerous hypotheses for root cause and insufficient time and resources to investigate them all. This results in long resolution time and often sub-optimal solutions. There is also a growing competitive need to reduce maintenance costs and downtime. Being able to predict when maintenance is required significantly improves cost, downtime and safety.

Empowering domain engineers with AI and Machine Learning can materially address many of these challenges while quickly and safely operationalize AI and accelerate data-driven decisioning. Manufacturers who operationalize and democratize AI capabilities stand to significantly increase revenue and profit performance and dominate their markets.

Join our fireside chat with Terence, Chief of Future Intelligence Technologies at Rolls-Royce on how they achieved significant multi-millions cost avoidance on their digital transformation journey through the development and use of their no-code engineer-friendly Smart Discovery AI Solution.

Key Highlights:

- Demo of use cases such as reducing investigation turn-around time and time-to-decision through automated AI-based root cause analysis, hypothesis and insights generation
- Use of advanced analytics without the need for coding or data science training to detect emerging trends faster and more accurately than traditional early-warning techniques
- Challenges, watchouts and tips on navigating the digital transformation journey for manufacturers.

Fireside Chat: How Rolls-Royce democratized Data Analytics and AI

There is currently a lot of talk about how analytics can drive change through digital transformation and Artificial Intelligence. In reality, however, integrating advanced analytical techniques into operational processes poses significant challenges. During this session we will not only identify and discuss some of these challenges, but also introduce specific ways to address them.

Digital Decisioning and Responsible AI

Gartner 2021年最新研究顯示：未來3年內，75%的企業組織將從試驗性的「前導式AI」走向「營運化AI」。然而經統計，現今企業辛苦產出的分析模型卻有超過50% 從未部署於營運環境，代表迄今無法應用，或是難以上線的模型仍不在少數。 究竟企業該如何加速突破困境，讓AI模型真正進入營運端，產生商業價值?

關鍵在於能加速組織AI模型落地的「ModelOps」流程!透過ModelOps流程對AI模型進行生命週期管理，以基於 DevOps 的文化精神，將模型(Model)和營運流程(Ops)之間緊密連結，持續地驗證、部署、更新至營運層面，輔以應用AutoML提升建模速度及對模型的持續監控與自動訓練，即可打造出「生生流轉」的高效模型生命週期。於此同時， 如您的ModelOps 流程還能兼容運行於雲端、抑或是混合雲的環境上，讓企業可按需調整資源，還可進一步最佳化整體運算與基礎架構的成本投資!

為協助國內企業能無痛邁入ModelOps流程及完備架構平台， SAS與台灣微軟攜手舉行「掌握AI營運化關鍵:ModelOps」線上研討會，會中將由SAS台灣顧問分享如何應用ModelOps，做到「自動化」與「規模化」，為您消除模型生命週期的關鍵摩擦點，加速AI落地的最後一哩路；同時也特邀台灣微軟，與各位分享如何在Azure架構上採用雲原生或混合雲基礎架構，讓您更簡易部署AI應用。
誠摯邀請您與會交流，一同加速實現企業的AI商業價值！

「掌握AI營運化關鍵:ModelOps」線上研討會

Keith Swanson, Director of Fraud, Financial Crimes and Security Intelligence for SAS Institute outlines techniques and technologies that can help Financial Services better detect and prevent digital identity fraud.​

In this video interview with Anna Delaney of Information Security Media Group, Keith discusses:​

Why traditional detection methods are failing to identify new, harder-to-identify fraud schemes;​
How Financial Services can make better use of their data to recognise and protect against identity fraud;​
Best practices to develop strong anti-fraud capabilities and strategies.​

Preventing Identity Fraud: The Road Ahead for Financial Services

A diverse and engaging panel of SAS thought-leaders will take us through some of the areas including:
The current state of play for data and analytics 
Where they see the industry going
How they are guiding data and analytics transformation in customer organisations

Panel Discussion: Is your data and analytics eco-system ready for disruption?

We’re preaching to the converted when it comes to the importance of retail data. Though recent breakthroughs are enabling retailers one single view of the customer. Both off and online behaviours can be married to complete a 360 degree lens on consumers – and this looks set to change the game.

With access to this level of insight more accurate real time predictions can be attained and influence deepens. With these new opportunities in mind, we’re taking a deep data dive for this upcoming RetailUP episode - ensuring retailers and the wider ‘NORA’ community can seize the benefits of this new realm of visibility.

The discussion will include a focus on:
-The importance of creating a single view of customer
-Analytics beyond marketing – and the impact
-Real-time decisioning – the lever for deeper influence

Unlocking 360-degree visibility: a breakthrough in customer data and influence

To deliver sophisticated and personalized customer engagement strategies, organizations are often faced with breaking down the barriers between functional siloes. Marketing teams are increasingly aware of the need for analytics to drive their activities and the analytics team is frustrated at how hard it is to get their models to make a meaningful impact on customer engagement. 

Attend our webinar to listen to the three key opinion leaders who each bring different perspectives to this conversation and review examples of taking an analytical approach to marketing. We discussed:

• Opportunities for analytics in the customer lifecycle
• The challenges in operationalizing marketing analytics
• How to make better decisions with analytically driven marketing

CX Network: Building the Bridge Between Marketing and Analytics

Banking

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Resolving an Identity Crisis? Approaches, Impacts and Innovation for Fraud & KYC

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