Predict, SG

Singapore | 26th - 28th July, 2023

A conversational 3-day conference for Data Leaders focused on transformative data infrastructure and the analytic value that transformation creates.


26th - 28th July, 2023
A conversational 3-day conference for Data Leaders focused on transformative data infrastructure and the analytic value that transformation creates.

What we will discuss at

Data & Analytics
Predict, SG

The avalanche of data generated by companies and their customers should be a competitive advantage, but most companies are struggling to manage it all. Data accessibility, quality, governance and security are all critical for operationalizing machine learning applications, so the stakes are high. Emerging frameworks are helping us come to grips with these issues but the answers go beyond just technology.

In this conference, we’ll focus on the new ways and reasons to invest in getting the most value from your data.

Who IS AttendING

Our conference is designed for 70 data & analytics leaders responsible for their company’s data infrastructure, data strategy and analytics strategy, including CTO’s, Chief Architects, Heads of Software Engineering, Data Analytics leaders, Chief Data Officers and Chief Digital Officers from innovative enterprises in Singapore and the larger ASEAN region.


16:00 – 20:00


18:00 – 18:45

Sponsor Intro

18:45 – 20:00

Cocktails & Appetizers

8:00 – 8:50


9:00 – 9:50

Keynote Panel Discussion

Theme – Personalisation & Trust

Moderated by:

Why AI/ML data analytics projects succeed (or fail)

Advanced analytics projects using ML are inherently complex with multiple points of failure, and most do in fact fail. There are plenty of reasons why these projects fail.

In this session we’ll discuss the key points of failure and how companies succeed in moving their models out of the sandbox and into successful production.

10:00 – 11:00

Panel Session

Theme – Personalisation & Trust

Moderated by:

The coming shift to Data as a Service

Increasingly companies are accessing data sources that have been collected and curated by third parties on a pay-as-you-go or subscription billing model. This reduces the need for companies to build their own expensive, proprietary data collection and storage systems for many types of applications.

Many DaaS companies offer analytics tools as-a-service as well. Data accessed through DaaS is typically used to augment a company’s proprietary data that it collects and processes itself in order to create richer and more valuable insights.

In this session, we’ll discuss how companies are deciding which data they can safely and profitably purchase from 3rd parties. What are the potential pitfalls, and how can those be avoided?

Theme – Personalisation & Trust

Moderated by:

Realizing the CDP promise in 2023

Companies bet big on CDPs, and most have been disappointed. What happened? What can we learn from those failures as well as from the companies that succeeded?

One key factor in nearly all CDP success stories is the quality and completeness of behavioral data companies use to understand and target customers. If behavioral data quality is poor, conversions won’t be properly attributed and real-time personalization will fail.

In this session, we’ll discuss how companies are collecting high-quality behavioral data in a secure, compliant way. We’ll also get into the strategies, policies, and technologies companies are using to connect predictive insights to actions that convert and delight customers in 2023 and beyond.

11:00 – 11:15

Executive Insights Sessions

Theme – Personalisation & Trust

Best practices for encouraging product reviews

Positive online reviews are the best predictor of ecommerce sales success, but how do successful sellers ensure customers are leaving any reviews at all? We’ll explore the different approaches companies take to build product reviews into the buyer journey. What are the dos and don’ts, and how can you do to accelerate the accumulation of positive product reviews?

Theme – Customer Experience Analytics

Comparing metrics between mobile, PC and smart devices

Customers interact with your brand differently on different hardware. You’ll likely see different customer demographics on different devices too. In this session we’ll discuss how the same metrics have different meanings on different hardware, and how you can interpret these to improve CX on all the devices your customers use.

11:20 – 12:10

Panel Session

Theme – Personalisation & Trust

Identifying root causes of data quality problems

When incorrect data is discovered, companies react with data profiling and data cleansing and typically build a plan to avoid repeating the mistakes that led to it.

However, data quality issues are much more challenging to resolve when they span the enterprise. 3 common challenges create data quality issues and make it difficult to resolve them:

  • Not treating data as an enterprise asset
  • Executive management indifference
  • No time to implement & monitor best practices

In this session we’ll discuss how enterprises are overcoming these challenges in 2023.

Theme – Personalisation & Trust

Multidimensional data observability – why does it matter?

Data observability empowers data teams with multi-dimensional insights by synthesizing signals from multiple layers, consolidating and analyzing them to deliver superior performance and business ROI from data. This ensures the reliability of your pipelines and provides visibility into your data stack including infrastructure, applications, and users to identify, investigate, prevent, and remediate data issues.

In this session, we’ll discuss how data-first enterprise companies are using data observability to:

  • Scale data and analytics platforms by identifying performance and operational bottlenecks
  • Reduce cost and resource overruns by providing operational visibility, guardrails and proactive alerts
  • Maximize data quality and minimize data outages by monitoring data reliability across frequent transformations

12:15 – 13:15


13:15 – 15:00

Meet & Learn Sessions

Time set aside to get to know some of our sponsors and subject matter experts for some quality 1:1 conversations.

13:30 – 14:30

How to create a culture of data literacy in your organization?

Data literacy is a new business competency and a requirement for digital dexterity. CDAOs must step up their leadership and use data literacy metrics as the basis for communicating the value of fostering a data-literate workforce.

In this session, we’ll work through some approaches to measure and communicate the value of data literacy.

14:30 – 15:00

Networking Break

15:00 – 15:50

Panel Session

Theme – Personalisation & Trust

The case for hyperconverged infrastructure

Large, data-intensive organizations are all on a modernization journey, but many are being slowed down by an IT infrastructure not optimized for the potential of a hybrid cloud.

How are IT leaders overcoming these obstacles to create “intelligent data operations”, and what is the role of Hyperconverged Infrastructure (HCI) in this? What tooling are companies using to manage structured, semi-structured, and unstructured data at rest and in motion across hybrid clouds?

In this session, we’ll explore how enterprises are leveraging the concept of disaggregation to arrive at the best HCI solutions approach. Although HCI deployments are designed to reduce complexity from the classic three-tier component model to a tightly integrated, pretested, and validated stack, that transition doesn’t happen overnight. Disaggregation allows companies to transition at their own pace and scale compute and storage layers independently to match application requirements.

Theme – Personalisation & Trust

Going Beyond a Data Lakehouse

The term “Data Lakehouse” combines the power of a data lake with the power of a data warehouse, but the whole reason to invest in this technology is to facilitate advanced analytics, regardless of where you put your data.

In this session, we’ll discuss how companies are using new technologies to unify different analytics approaches, different teams of analysts, and different architectures in ways that go beyond what most data lakehouses can deliver.

16:10 – 17:00

Panel Session

Theme – Personalisation & Trust

The future of data is real-time

Today, enterprises need to both gather and store data and process and analyze it in real-time. Winning enterprises take data, process it, and use it to deliver an instantaneous experience to a customer.

In this session, we’ll explore

  • What you need to build a real-time app
  • How to overcome challenges of legacy architectures
  • How people and processes play a role in driving a culture of innovation

Theme – Personalisation & Trust

Securing workloads in hybrid and multi-cloud infrastructures

In a recent survey conducted by Frost & Sullivan on Cloud Adoption across Asia Pacific, over 90 percent of enterprise organizations surveyed have moved at least 10% of their workloads to the cloud, with more than 80% of them opting for either a hybrid or multi-cloud infrastructure. As organizations migrate to the cloud, many face challenges securing these workloads.

The study showed of those cloud adopters, only 28% of having all of their cloud workloads secured on their own. Of those, 23% elect to outsource security to third parties, and the rest either have partial security or have not implemented a strategy to manage this.

Join us in a candid debate as we discuss the strategies, processes, pitfalls, and best practices you have experienced or developed as your organization embarks on your transition to the cloud. How have you been able to enable your organization to ensure workloads at scale are secured in your hybrid and multi-cloud infrastructures?

17:10 – 18:10

Cocktail Reception

18:10 – 19:30


8:00 – 9:00


9:00 – 10:00

Meeting & Learn Session

Time set aside to get to know some of our sponsors and subject matter experts for some quality 1:1 conversations.

10:10 – 11:10

Keynote Panel Discussion

Theme – Personalisation & Trust

Moderated by:

Regulatory Outlook for Data Privacy & Protection

Governments across the region are beginning to weigh in on data ethics, evaluating the collection, generation, analysis, and dissemination of data, both structured and unstructured—that have the potential to adversely impact people and society.

Regulators are beginning to address and recommend concepts of right and wrong conduct, with transparency and the defensibility of actions and decisions driven by automated/artificial intelligence (AI) in relation to data in general and personal data in particular.

In this keynote panel discussion, analysts, regulators, and other government officials will discuss what that will entail across the region in 2023 and beyond.

11:20 – 12:10

Lunch and Closing Remarks

Quick Facts about

Data & Analytics
Predict, SG

Companies who have sponsored past Common Sense events



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    About Common Sense Conferences

    Since 2019 Common Sense conferences have hosted more than 325 events focused on a wide variety of topics from Customer Experience to Data & Analytics. Learn more at

    Common Sense Conferences are produced by BuyerForesight, a global marketing services and research firm with offices in Singapore, USA, The Netherlands and India.

    Questions our invited guests often ask us

    General Conference

    Launched in 2019, Common Sense Conferences attract executive thought leaders from around the globe for conversation with peers and industry experts to promote innovation and growth. All Common Sense events share a “Less Presentation, More Conversation” theme because the last thing anyone needs is more heavy-handed sales pitches masquerading as “thought leadership”.

    Common Sense Conferences are produced by BuyerForesight, a 90-person (and growing) marketing services company with offices in the US, India, Singapore, and the Netherlands.

    We produce executive thought leadership events worldwide.

    We emphasize conversation over presentation. We carefully vet every prospective participant to ensure they will both contribute and get value from each event.

    We have offices in Singapore, Duluth, Minnesota, Kolkata, Bangalore and Amsterdam.

    Attend to learn and network with industry experts and executive peers.

    Expect between 60 and 70 participants and 10 sponsors.

    There are no current plans to invite media to this conference.

    Sessions will be recorded.

    Sessions will not be broadcast or made available for public viewing.


    Our business model relies on our participants being decision makers on behalf of their company, with control of a budget, buying authority, need for solutions and a timeline for purchase of those solutions within 12 months.


    Qualified participants pay nothing to attend.

    Common Sense Conferences will arrange and pay for air travel and your hotel and meals for each qualified participant.

    You’ll need to complete a qualification form.

    You can register here

    No. However, we request that you make a serious effort to find a colleague in your organization with similar qualifications to participate instead of you or take a meeting with at least 3 of our sponsors.

    Registration begins at 16:00 and the welcome cocktail reception begins at 18:00. You should plan to arrive in time to join us for cocktails.

    No. Our only requirement is that you participate in the full program from the welcome cocktail reception to the final meal on the last day.

    No. Our only requirement is that you participate in the full program from the welcome cocktail reception to the final meal on the last day.

    Airfare and hotel fees are covered. We also provide food & beverages at designated times and locations at the hotel during the conference

    Please make your own arrangements to travel to and from the airport by taxi or rideshare.

    Yes, you may.


    The format includes several session types from a full-group keynote address to small conversational breakout sessions. The majority of our activities are designed to foster small-group conversations among participants and our industry experts.

    Here is the agenda.

    A panel discussion is 3-5 experts discussing a series of questions posed by a moderator. Participants may ask and respond as well.

    Typically each session will be 20-30 people.

    As many as you like.

    Yes, though some sessions may fill up; in this case you’ll need to choose a different session.

    Yes, we strongly encourage your topic suggestions.


    If you are a decision maker with control of a budget, buying authority, need for solutions, and a timeline for purchase of those solutions within 12 months, you will qualify. You may also qualify if you are a primary purchase influencer.

    You are expected to attend and participate in sessions, join us for meals and stay through the full program. You are not required to meet with any of our sponsors, though of course we hope you’ll want to.

    We believe our participants have a lot of valuable information to share, so we encourage all participants to actively ask and answer questions during our sessions. We also ask some participants to consider serving on a panel.

    You aren’t required to be a “speaker” and lead a session; however, all participants should come prepared to share their expertise or ask good questions of their peers.

    If you are serving on a panel or delivering a War Story, we’ll introduce you to others you’ll be presenting with, and set up prep calls for you. We do not use PowerPoint presentations in our breakout sessions, so a simple outline of what you intend to discuss is enough. Otherwise, all you need to do is read through the agenda and decide which sessions you’d like to participate in.

    Yes, we’d like a detailed description of what you intend to cover.


    Other participants are Customer Experience, Data and Analytics and AI executives in medium to large enterprises in a variety of industries.


    Sponsors are leading data infrastructure and data analytics technology vendors in the Asia-Pacific region.


    Yes, we will share the information you provide to us with sponsors.

    Yes, sponsors will reach out to you after the conference.



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