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Registration and breakfast

DATAx Leadership and Innovation

Registration and breakfast

Opening remarks

I am delighted to welcome you all to this year's DataX Singapore Festival and I'm extremely proud and honoured to support the incredible line-up of industry speakers, sponsors and event organisers.

Paul Hodge University Lecturer & Data Visualisation Evangelist Analytics Guest Speaker

Winning business in smart cities – separating reality from hype

Global Smart City Market Opportunities breakdown by segment
Smart City plans in ASEAN (including a slide on Singapore's transformation)
Revenue Generation Opportunities for Corportes/Conglomerates
Challenges faced by companies in increasing smart city revenues
Frost & Sullivan value proposition

Ravi Krishnaswamy SVP, Energy & Environment Practice Frost & Sullivan

Delivering successful AI projects

AI shows up consistently in most top technology trends for the past few years. Many organisations have embarked on AI projects but have failed to achieve the expected business results. Technology research firms have reported as high as 85% of such projects resulted in failure.
AI is essentially an IT project, so why do such projects experience higher than usual failure rate? Instead of focusing on finding the causes of failure, this talk unpacks the critical success factors in an AI project, through a case study in the implementation of a pilot in a financial institution

Derek Chan Senior Data Scientist, IBM Data Science Elite IBM

Organisational cultural changes required for success in Artificial Intelligence

Artificial intelligence is a key differentiator in an era of digital transformation. AI is a deep skillset that requires high performing technical teams and data at scale. In this session, we will review the organizational cultural changes required for success in AI:
●Mission: strong focus, governance and ethical framework
●Talent: a critical mass of specialist and generalist data scientists
●Infrastructure: to obtain, create and manage the data
●Knowledge: to deploy statistical and data-mining models

Dr Meri Rosich CDO, Head of Data Science Visa

Morning coffee break - Exhibition area

Ready or not: does your organisation have a sound data strategy to run successful AI projects?

Artificial Intelligence is rapidly gaining ground in almost all industries, promising to revolutionise business models and transform decision-making throughout the enterprise. The key, of course, is high quality data and lots of it. Unfortunately, many organisations lack a comprehensive data strategy which seeks to acquire, curate, combine and commercialise it, resulting in frustrations and failed data & analytics projects. This talk aims to share knowledge around the operationalization of AI/ML in enterprises, particularly the importance of having sound data architecture and technologies to unleash the power of artificial intelligence. New data-driven capabilities based on this modern architecture will not only yield radical improvements in operational effectiveness, but also new sources of competitive advantage for enterprises.

Janet Uy Lead, Big Data & Analytics, ASEAN Oracle

The power of data science for e-Commerce in Southeast Asia

- AI & Machine learning accuracy increase massive sales
- How did scientists at Alibaba creating the platform and enable the performance

Bill Lang Jun EVP & Director, Data Science Lazada

Human-machine interface in the IoT era

Relentless consumer demand for seamless connectivity and interactive user interfaces is driving a paradigm shift in the Internet of Things (IoT) landscape. Advancement in human-machine interface technology platforms and solutions will enable new product innovation and functionality across IoT devices, systems and applications. The presentation will provide an overview of innovation and product platform strategies as well as examples of transformational technologies including intelligent sensing, data analytics and visualization.

Albert Lu Chief Technology Officer Interlink Electronics

Lunch - Exhibition area

Choose your track

Choose your sessions from:
1 - AI & Data Analytics
2 - AI in Finance
3 - Data Driven Marketing

Afternoon coffee break - Exhibition area

Choose your track

Choose your sessions from:
1 - AI & Data Analytics
2 - AI in Finance
3 - Data Driven Marketing

Closing remarks

Networking drinks - Exhibition areas

AI & Big Data Analytics

Lunch - Exhibition area

Chairperson Overview

Premkumar Chandra Shegaran Lead Product Data Scientist The Center of Applied Data Science

Boosting analytics real-time and business performance with big data fabric and AI

To outdo competition and increase revenue and market share, companies are turning to real-time analytics to gain intelligence from operational data and boost business performance. However, with the data volume exploding across increasingly siloed on-premises repositories and multi-cloud, companies are finding it hard to integrate and deliver data in real-time to business users.

Big Data Fabric powered by Data Virtualization integrates the data dispersed across multiple sources without any concern for data location, format, or latency, and delivers it in real-time to business users. This modern data architecture employs sophisticated cost-based optimization AI algorithms to boost the performance of data delivery so that business users can take immediate action.

This presentation will introduce:
· The notion of big data fabric and the need for such architecture in modern data analytics.
· Real-time performance innovations delivered through cost-based optimization algorithms and intelligent query optimization engines.
· Use cases from customer deployments that have delivered business success.

Alex Hoehl Sr. Director, Business Development, APAC Denodo Technologies

Enabling better use of health data

- Machine learning technologies improve the quality of underlying service
- Challenges on how to tackle issues along with test of datasets.

Sutowo Wong Director, Analytics & Information Management Ministry of Health

Future of Health Data Science

- Challenges and opportunities in leveraging big data and artificial intelligence for delivering better healthcare outcomes
- Journey towards the development of a sustainable data science ecosystem for the continuous improvement in the delivery of health services
- Real-world cases on the development of augmented intelligent systems for health services delivery

Sean Lam Head of Data Science Singhealth

Afternoon Coffee - Exhibition area

How UCARE.AI transformed Parkway’s data to better understand patients and predict costs

Healthcare expenditure is set to rise over the coming years. Cost will undoubtedly influence patients’ decision-making when it comes to diagnosis and treatment.

For healthcare providers, providing up-front cost estimates improves patient experience, making patients more willing to return (if required) in the future. For patients, having accurate pre-admission estimates allow for informed decisions and adequate preparation, reducing payment challenges after treatment. Ultimately, this case is a first step towards (i) standardization of healthcare cost estimation and (ii) price transparency to build trust between healthcare providers, payers, and patients.

In this talk, UCARE.AI will share about how we developed an automated and scalable system to predict hospitalization costs at pre-admission (e.g., without rich data, like measurements, final outcomes, etc.) We’ll go through our (i) methodology, (ii) useful features, (iii) tech stack, (iv) challenges and how we resolved them.

Prerequisite knowledge
Basic understanding of hospitals and processes (i.e., visited one before)
Basic understanding of data science projects end-to-end, from planning to delivery
Basic understanding of cloud, associated architecture, and deployment models

What you’ll learn
How UCARE.AI utilizes data to better understand patient conditions and predict costs
How UCARE.AI collaborated with Parkway Hospitals to plan, develop, and deploy an Automated Pre-Admission Cost of Hospitalization Estimation (APACHE) system
How UCARE.AI overcame challenges, plus tips and tricks

Eugene Yan Data Scientist UCARE.AI

The transit generation: why millennials need your data to make decisions.

Millennials are the largest and most powerful consumer generation since the baby boomers. Their life is a transition from analog to becoming completely digitized, and it makes their daily decisions and life choices a more complicated task than ever before. Capturing their lifestyle won’t be enough to win them. Those businesses will strive which can simplify the increasing complexity of infinite choices and opportunities of this generation surviving humanity’s transition to a new era.

Balazs Molnar CEO, APAC Aliz

Connecting AI to impact

AI offers huge promise for traditional industries. But measuring a project's success, let alone assuring it, is usually uncharted territory. In reality, there is a temptation to run a business project like the plentiful data science and machine learning competitions sprouting on the internet, with an excessive focus on mathematical metrics and engineering prowess. The real opportunity to translate the results into business actions is often overlooked.
This talk will focus on how to translate data science into real business impact, and how to better measure your data science team’s success against your organisation's strategic objectives.

Oliver Graeser Director, Data Science SparkBeyond

Data labs – Farming of analytics projects

Corporate world still lives and keeps a lot of data in silos. Introduction of Data Labs, an experimentation platform, was supposed to unleashes self-service, collaborative analytics development with enterprise data governance. However not all Data Labs were successful. The presentation covers technical and organizational ingredients required to make it work.

Olga Sholomitskaya Manager, Data Analytics Solution DHL

Networking Drinks

Data-Driven Marketing

Lunch - Exhibition area

Chairperson Overview

Ian Evans Head of Data, Analytics & Insights World Vision Australia

Data for good – How World Vision use data to increase charitable donations

- Ground zero – Building business confidence in algorithms
- From ‘Batch and Blast’ to refined segments
- Using ML to drive ‘Next Best Offer’, increasing engagement across social and display.

Ian Evans Head of Data, Analytics & Insights World Vision Australia

Leveraging analytics for more efficient media attribution and allocation

Attribution modelling for digital advertising has been around for some time.
However, measuring the impact and performance of offline media like TV has been survey based for the last 40 years.
To give the scale of this issue, each of our companies spend about 10 million dollars a month on advertising and 50% of this goes into offline media. And the only measurements that are available to justify this spend is TRPs and quarterly traffic data. In most cases it is entirely based on experience.
With vast availability of data and app usage, we now can attempt the offline media attribution problem
We tracked a campaign in Indonesia which had 50% better viewership in our target segment and we could measure this using data. All of this at the same cost.
For billboards we recommend the most suitable site based on our street view data and traffic prediction using telco data. We managed a 30% decrease in costs while keeping impact the same.

Pedro Uria-Recio Group VP, Head of Analytics Axiata

Journeys are dead - Scaling inspiring experiences through data

We have long modelled interactions through the concept of a journey. This linear construct served us well as we came to grips with the challenges of digital but it no longer meets the expectations of consumers who want conversation not communications. In this session we explore how organisations globally are rising to this challenge and building a data supply chain to develop responsive consumer profiles that enable them to curate their own experience.

Catherine Ballantyne Director, Solution Consulting, APAC Tealium

Afternoon Coffee - Exhibition area

Driving paid media efficiencies leveraging a DMP and 1st party data

DMP development is a significant but still growing space in the region. MoneySmart will show case some basic to advanced thinking around use cases and thought leadership that aims to shape brands thinking around this compelling approach to paid media.

David Harling Chief Marketing Officer MoneySmart Group

Creating a data-driving go-to-market strategy

- Address the current issues
- Test and refine the strategy and drive company’s strategy
- How data bending accelerates audience insight

Anjali Kalia Head of Consumer Connections Reckitt Benckiser
Anmol Arora Business Director - APAC and MENA ViSenze
Isaline Duminil Director, Marketing & Communications JCDecaux
Ian Evans Head of Data, Analytics & Insights World Vision Australia

Networking Drinks

AI in Finance (Day 1 Afternoon)

Lunch - Exhibition area

Chairperson Overview

Joe Tusin CEO, Founder Chynge

Using AI to put empathy back into banking

The bank of the future will harness the immense power of AI to regain its empathy and deliver service with a human touch

Matthew Johnson Global Head, Analytics Platforms Standard Chartered Bank

How can adoption of deep learning be accelerated in financial sector?

- Deep learning and computational grapy techniques for derivatives pricing and analytics
- Analysis pool of data, using deep learning analyse corporate information

Sigrid Rouam Head of Data Science and Visualisation Singapore Exchange Limited

Machine learning for profit optimisation in credit underwriting process

Credit Risk Measurement remains a critical field of top priority in banking and financial services industry. Credit risk refers to the probability of loss due to a borrower’s failure to make payments on any type of debt. Normally, a typical credit underwriting process is using human judgment as credit decision making tools. Nowadays, banking and financial services industry is considering to use machine for making those credit decision. By using machine learning algorithm, banking and financial services institution could use more robust statistical approach rather than human judgment in day to day underwriting process. Hence, probability of default of a customer could be measure in timely manner and with better accuracy. Underwriting process then will become more effective and efficient.
This research will also apply machine learning as process for optimizing company’s profitability through operational effectiveness arising from machine learning implementation as decision making process. Banks or financial services institution could get additional benefit from minimizing total acquisition cost arises from field survey activities, collection assignment and even specific target customers based on risk profile for sales and marketing activities. Risk based pricing could also be implemented in real time scenario, so company could apply different pricing for each customer based on it’s risk profile. As conclusion, profitability will significantly increase by simply using machine learning algorithm in credit decision making process and operational efficiency.

Ahmad Fakih Ijtihadi Head of Risk Management Mandala Multifinance

Afternoon Coffee - Exhibition area

Methodology of detecting fraud through data analytics

He will cover the following three topics with common pitfalls that come with analyzing data in mobile payments.
Topics Include:
1. Fraud patterns in a single account
2. Fraud patterns using multiple accounts
3. Risk-based Whitelist model

Seonmin Kim Data risk analyst LINE Corporation

AI and machine learning in fraud detection

American Express is a 160+ year old start-up which processes more than a trillion dollars of spend for its 30MM+ customers. As a pioneer in the financial services industry, we have been practicing data-driven decision making integrated with human intuition for decades. The talk will cover the following:
· Describe the challenges of fraud detection and how machine learning is being applied to surgically identify fraud and elevate the payment experience for millions of card members across the globe.
· Discuss the next generation of data science advances using Deep Learning to solve Risk Management problems.
Outline/Structure of the Talk
Understanding Fraud
The Fraud Landscape
Characteristics of Fraud
Our Machine Learning Journey
Results
Our Learnings
Data Cleaning
Data/Feature Discovery
Human Intuition
Our Next Innovation - Deep Learning
· Deep Learning uses in Industry vs Amex
· RNN Deep Learning Framework for Fraud Detection

Rajat Jain VP, Fraud Risk Management American Express
Radhakrishnan G VP, Decision Science American Express

Networking Drinks

Smart Cities (Day 2 Afternoon)

Women in AI Lunch

Women in AI leadership lunch

Join us for a special lunch debate on closing the gender gap in AI while supporting female entrepreneurs working towards advancing technology and science. Meet and network with like-minded delegates who want to make a real change.

At Women in AI leadership lunch we welcome both genders thought leaders. The lunch provide opportunity for AI experts from all industries to network and learn from each other.

Janet Uy Lead, Big Data & Analytics, ASEAN Oracle
Alena Rossini Managing Director Engine Group
Grace Tang Senior Data Scientist Netflix
Sigrid Rouam Head of Data Science and Visualisation Singapore Exchange Limited

Choose your track

Tech Startup Launchpad

Startup Launchpad

We invite excellent startups to join us at the Startup Launchpad. Featured startups including:
- 6Estates
- Lauretta.oi
- Taiger
- Bobot.ai

Choose your track

IBM Workshop

Networking drinks - Exhibition areas ends at 7.00pm.

Registration and breakfast

DATAx Leadership and Innovation

Registration and breakfast

Opening remarks

I am delighted to welcome you all to this year's DataX Singapore Festival and I'm extremely proud and honoured to support the incredible line-up of industry speakers, sponsors and event organisers.

Paul Hodge University Lecturer & Data Visualisation Evangelist Analytics Guest Speaker

Transforming to a performance culture

In this talk Ruben and Aditya will present overview Zalora and journey from Start-up phase to Building for Scale and Sustainability. The Business Intelligence Journey and next phase. On stage discussion with BI manager showcasing the architecture / case studies

Ruben Stappers CFO ZALORA
Nag Aditya Gade Manager, BI ZALORA

Addressing privacy and untangling bias for responsible AI

Do you know how your AI makes decisions? Would you know if your AI was producing biased outputs? Do your stakeholders know how decisions made by AI will affect them? Deploying AI technology carelessly could embed adverse consequences in your organizations, and cause unintended ripple effects on society. As organizations in virtually every industry adopt AI solutions, such ethical and privacy concerns are becoming increasingly relevant.
This talk aims to provide AI practitioners, providers and policymakers with tools and techniques to navigate the complex space of AI ethics and build AI products that are innovative, compliant and effective.

Jason Tamara Widjaja Associate Director, Data Science MSD

Combining human and artificial intelligence: how creatives and data scientists work in concert at Netflix to craft a personalised experience.

AI has revolutionized many fields in recent decades, sparking some fear that humans will soon be made redundant. However, especially in creative fields such as the entertainment industry, domain knowledge from human experts is crucial, and cannot be replaced by machine intelligence. At Netflix, creative domain experts and machine learning engineers/data scientists work closely in concert to craft a personalized experience for members.

Grace Tang Senior Data Scientist Netflix

Morning coffee break - Exhibition area

Making Data Joyful – Application of Real-time analytics to deliver a Smart ATM withdrawal recommendation engine

DBS’s Self Services Banking channel is the highest utilized ATM network in the World and annually processes over 300 million transactions successfully to provide cash and non-cash services to its consumer & corporate banking customers. However, a total of 7% of transactions was failed due to hosts of reasons such as insufficient balance, unavailability of specific denomination or due to machine errors. In this presentation, hear how DBS has followed a Customer Experience and Engineering Design framework (CEED) to translate data insight and combine with human centred design tools (HCD) to build a Smart ATM withdrawal recommendation engine. DBS has prevented over 2M transaction failures and huge reduction in customer’s effort by 10,000 hours to deliver a joyful banking experience to its 4.5M customers.

Alok Kumar SVP & Head of Change, Self-Services Banking DBS Bank

Women leadership panel - Becoming a Female Data Leader

In this panel session, 4 fantastic data leaders will discuss what it takes to succeed as a woman in a field that's mostly dominated by men.

Lynette Pathy Advisory Board Member Girls in Tech Singapore
Sigrid Rouam Head of Data Science and Visualisation Singapore Exchange Limited
Chin Yong Tang Technical Director Nugit
Meggy Chung Director & Head of Data Service Citibank
Geetanjali Bhalotia Manager, Global Data Bloomberg LP

Lunch - Exhibition area

Choose your track

Choose your sessions from:
1 - AI & Data Analytics
2 - Smart Cities
3 - Data Driven Marketing

Afternoon Coffee - Exhibition area

Choose your track

Choose your sessions from:
1 - AI & Data Analytics
2 - Smart Cities
3 - Data Driven Marketing

End of summit

AI & Big Data Analytics

Lunch - Exhibition area

Chairperson Overview

Premkumar Chandra Shegaran Lead Product Data Scientist The Center of Applied Data Science

Leadership Panel - Machine learning & AI from a leader's perspective

Panel:
- What's your take on machine learning is set to go mainstream and every company must become an ai company?
- How will 2019 help solidify the trend of digital transformation utilise AI services.
- What’s the ROI on machine learning & AI, how to justify.
- Does AI result beat human work.

Peter Condron Head of Data Science Danone Nutricia
Daniel Kusmanto Global Head, HR Analytics ASM
Paul Hodge University Lecturer & Data Visualisation Evangelist Analytics Guest Speaker
Premkumar Chandra Shegaran Lead Product Data Scientist The Center of Applied Data Science

How to get real business impact from AI Consumer centricity with social intelligence

Understand L’Oréal’s data / analytics / AI Journey w.r.t. Social Intelligence to understand their Consumers, be consumer centric with an holistic data ecosystem adding value across all Enterprise functions.

Tejas Shah Director, BI, Analytics & Integration L'Oreal

The future of Data Visualisation & Storytelling in the Era of AI & Big Data

While new analytical techniques and machine-learning platforms promise to reduce sizable chunks of routine cognitive processing, the accountability for the business outcomes and the role of critical decision evaluation will remain the domain humans for some time to come.

During this engaging and informative session, Paul will explore the current and future trends in Data Visualisation that will shape the field in the next 5-10 years and beyond. Using a combination of entertaining and informative examples of world-class Data Visualisations, attendees will gain unique insights on how new technologies and approaches will help build compelling Data Visualisations that will complement advances in Machine-Learning and will engage, inform and hopefully inspire future decision makers.

Paul Hodge University Lecturer & Data Visualisation Evangelist Analytics Guest Speaker

Future of humans in the age of AI

Juliana Chua Head of Digital Transformation NTUC Income

Departure Coffee - Exhibition area

Data-Driven Marketing

Lunch

Chairperson Overview

Chris Clarke Head of Events Innovation Enterprise

Winning with commerce & big data in the era of omnichannel marketing

In today’s omnichannel era, it’s critical for marketers to understand how to add value to consumers while connecting with them in the omnichannel path to purchase- Which is very much non-linear vs. how we saw it traditionally for years. This can get complex however, one thread that ties it all together is the Big Data and another that makes it seamless, effective, smart, is Commerce.
As we meet in the Data-X summit in SG on 6th March, we would be reviewing the ‘secret recipe’ of Commerce & Big Data to win in the era of omnichannel marketing.

Prasanna Kumar President, Regional WPP Client Team and Global Ecommerce/Data lead WPP

Fireside chat - Get ready for the next data-driven marketing wave!

Has the rise of data led to consumers having more power than ever before?

How can data enhance customer lifecycle campaigns?

How are NTUC Link using data for democratization and to give back to society?

How can companies use data to deliver personalized campaigns without intruding on consumers privacy?

What makes Singapore such a great hub for startups?

What are the best practices for enhancing data literacy across companies?

What are the best agile practices for collaborating across teams?

What tips would you give to companies trying to use data to let the customer lead?

How will the growth of the IoT change marketing practices over the next five years?

What common mistakes do marketers make when implementing AI practices? How can you overcome these?

Nanthekumar Tamilselvan Head of Marketing Tech & Automation NTUC Link

Insight-driven marketing for the new digital consumer

The dynamics between new consumerism and technological innovation has turned into a very interesting playground. While on the one hand, people are constantly questioning what they truly value and minimalism is taking more and more space inside homes, we are also noticing digitally influenced purchases growing faster than ever. 3 billion people from emerging markets are estimated to be online by 2022 and digitally influenced purchases in these markets will approach $4 trillion – almost half of all retail spending by 2022.

What does this mean for businesses?
· Customer 360 is not going to be enough – there will be a need to analyse customers in newer dimensions

· Data lakes will need to be rebuilt as data rivers that are heavily blended (open, social, device etc.) and, are more agile and dynamic

· Integrating AI at scale across all functions within the organisation will become nonelective

· And, most importantly, Marketing needs to be driven through interconnected insights

In this talk, we will discuss some of the most interesting facets of change and how can companies ride this wave.

Piyush Sagar Mishra Data Science & Advanced Analytics Boston Consulting Group

Afternoon Coffee - You can chose to join Smart Cities track

End of summit

AI in Finance (Day 1 Afternoon)

Smart Cities (Day 2 Afternoon)

Chairperson Overview

Tim Hill Research Director Eco Business

Digital mobility driving our cities

- How IoT, big data and Machine Learning are converging the system
- Practical cases by using IoT cross industries
- How to devise IoT strategies
- Conventional city transport is being displaced by new digital drivers

Mark Thomas Managing Director Serviceworks Group

Smart cities – and stepping stones to get there

In the presentation I will elaborate about key pillars of a smart city

Connectivity = IoT, connected data, data sharing
Intelligence = insight through AI and ML and analytics, ontologies
Security = risk + cyber safety / security

A Smart City can be characterized as the integration of technologies empowering citizens and players to interact in a more convenient, efficient and sustainable way, with the overall objective to enhance citizen wellbeing and economic competitiveness.

This presentation will focus on the stepping stones to get these building blocks together – elaborating on connectivity, intelligence and cyber security.

Mathias Steck EVP, Smart Cities DNV GL

SMART manufacturing - Dyson digital motor

Introduction into the Dyson story.
The Development and Manufacturing of the Dyson Digital Motor:
- UK HQ: Research on new Technology Solutions.
- Singapore Technology Centre: Development of Algorithms, Software and Hardware.
- Singapore & Philippines Advanced Manufacturing: Application of SMART Manufacturing.

Jim Roovers Head of Applied Data Science Dyson

Afternoon Coffee

How SE Asia's cities will make the transition towards sustainability by 2030

Tim Hill Research Director Eco Business

Bricks to Bytes: How IoT and 5G will transform smart cities

Smart cities are built with extensive, diverse and complex infrastructure. A Smart city will have operate its public infrastructure such as utilities, transportation, healthcare, financial at the best efficiency level. Unfortunately, most cities face the challenges to transform the existing brownfield infrastructure, and hence struggle to crate new value added services for its citizens. As easy as it may sound to say Smart City, the dynamic nature and inherent infrastructural readiness and availability challenges make the most Smart City initiatives a mountain to move. In this talk, CK will share practical insights, how some of those challenges can be addressed with IoT and 5G.

CK Vishwakarma Founder IOTSG

End of summit

Women in AI Lunch

Tech Startup Launchpad

Startup Launchpad

We invite excellent startups to join us at the Startup Launchpad. Featured startups including:
- Bambu
- Pand.ai
- Soqqle
- Neurobit

Choose your track

IBM Workshop

Operationalize AI by modernizing your data estates through an open hybrid multi-cloud architecture

Enterprises are faced with an existential threat from digital transformation. Data fuels digital transformation. Companies are embracing an open, hybrid multi-cloud as a digital transformation strategy
Massive amounts of data in digital enterprises, when effectively harvested by AI, can dramatically change how an enterprise engages with its customers, what products and services it offers and how it runs its operations.
IBM is helping businesses prepare their data for AI by collecting, organizing, and analyzing your data so it is ready to be used in AI applications.

Through interactive discussions, join Karan Sachdeva and Derek Chan to uncover real-world stories on managing full lifecycle of AI, to scale real-time digital intelligence pervasively into enterprise operations—accelerating the journey to AI

Karan Sachdeva Sales Leader, IBM Data & AI, APAC IBM
Derek Chan Senior Data Scientist, IBM Data Science Elite IBM

Lunch - Exhibition area