What we discussed at
COMMON SENSE
Data & Analytics Dubai
The avalanche of data generated by companies and their customers should be a competitive advantage, but most companies are struggling to manage it all. There aren’t any simple answers, but emerging frameworks are helping us catch up with the growth in data. In this conference we’ll focus on the role of new models for data infrastructure and the new ways and reasons to invest in data analytics.
Who IS AttendING
Our conference is designed for 70 IT 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 the Middle East region.
AGENDA
16:00 – 18:00
Registration
18:00 – 20:00
Welcome Reception
7:30 – 8:20
Breakfast
8:20 – 8:30
Keynote Address
8:30 – 8:55
Presentation by
9:00 – 9:50
Panels
Theme – Data Infrastructure
Moderated by
The data lake didn’t kill data warehouses. Will the lakehouse finish the job?
The data lakehouse contains the best of both data warehouses and data lakes, with plenty of advantages. Are those advantages sufficient to move companies off legacy data warehouses?
Who will build the next bridge to data consumers? Data consumers were actually more self-serve prior to the advent of the modern data stack: Where is the Excel-like interface that knowledge workers can use to seamlessly interact with data in the modern data stack in a horizontal way?
Theme – Data Analytics
Why you should be recruiting analytics engineers instead of data scientists
The data scientist role is starting to lose its magic. Companies have failed to operationalize models, universities have produced coders who don’t understand business context, and data scientists spend hours on the dull work of dealing with messy, disparate data.
There’s an urgent need for insights to drive action, leading to the rise of the analytics engineers who create data products that include both business insights and the rigor of backend engineering processes.
An analytics engineer is more technical than an analytics translator and has deep knowledge of SQL. They combine that knowledge with an understanding of the business, a skill that many junior data scientists lack.
10:00 – 10:50
Panels
Theme – Data Infrastructure
Moderated by
Is Data platform as a service (dPaaS) right for you?
Many organizations, especially those starting their data journey, prefer someone to build and manage the data platform for them. Another option that’s gaining popularity is the data platform as a service so that in-house data engineers and analysts can quickly provision data pipelines while avoiding server installations, backups, and monitoring.
How are companies making these choices? Is there a case for making no choice, or boot-strapping an internal initiative? We’ll discuss the pros and cons of each in this session.
Theme – Data Analytics
Evaluating data lineage solutions
Implementing data governance policies intended to assert control and oversight over the quality of data assets is nearly impossible without knowing data lineage.
Lineage records simplify the analysis of root causes of data quality issues and the impact of changes to data sets in source systems. There are plenty of software solutions for data lineage; in this session, we’ll discuss what to look for in evaluating data lineage solutions.
11:00 – 11:50
Panel Session
Theme – Data Infrastructure
Tackling the 3 biggest data governance challenges
Robust data governance is the foundation for data trust, accurate analytics and regulatory compliance, but many companies are still in early in their journey. In this session we’ll discuss the 3 main obstacles to effective data governance and how companies mare overcoming them.
- Demonstrating business value
- Supporting self-service analytics
- Big data governance
12:00 – 13:00
Lunch
13:10 – 14:00
Panel Session
Theme – Data Analytics
Moderated by
Will cloud ecosystems make insight to action a reality in 2022?
Insights disconnected from action aren’t very valuable. If insights from ingested data don’t feed back into operational systems like CRM or marketing automation, the insights either go unused or require massive manual effort. Modern cloud ecosystems and APIs are now at the point where this problem can be solved without a massive development effort.
14:10 – 15:00
Panels
Theme – Data Infrastructure
Choosing the right MLOps solution
Machine learning operations, or MLOps, documents, manages and optimizes the full lifecycle of ML development from ideation to deployment.
MLOps exists not only to improve the quality and security of ML models, but also to document best practices in a way that makes machine learning development more scalable for ML operators and developers.
Some MLOps tools specialize in one core area, like data or metadata management, while other tools offer an MLOps platform to manage several pieces of the ML lifecycle.
In this session, we’ll discuss the MLOps landscape and how companies are selecting tools for their businesses. Key criteria include:
- Data management
- Modeling and design
- Deployment and ongoing maintenance of ML models
- End-to-end lifecycle management, which is usually available in full-service MLOps platforms
- Project and workspace management
Theme – Data Analytics
Re-thinking data governance in the age of the modern data stack
Without good governance, more data creates more chaos, eroding trust in the data.
Data governance includes many use cases including the discovery of data assets, viewing lineage information, and providing data consumers with the context needed to navigate huge data footprints inside the modern organization. It’s been made more painful by the modern data stack that has made it so easy to ingest, model, and analyze more data.
How are organizations planning and implementing a more holistic view of data governance to get ahead of exponential data growth in the enterprise?
15:00 – 17:00
Networking and Sponsor Meetings
17:30 – 18:30
Cocktail reception
18:30 – 20:00
Dinner
8:00 – 9:00
Breakfast
9:00 – 9:50
Panels
Theme – Data Infrastructure
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
Theme – Data Analytics
Moderated by
Why AI/ML advanced analytics projects fail
Advanced analytics projects using ML are inherently complex with multiple points of failure. Companies can improve the likelihood of success by avoiding the most common stumbling blocks. Some of these include:
- Model maintenance challenges
- Lack of data governance
- Model testing & validation
10:00 – 10:50
Panel Discussion
Theme – Data Analytics
7-step data quality improvement roadmap
Bad data is like a virus: It will spread into dashboards, spreadsheets and other analytics tools across your company. The key is planning for data quality instead of reacting when things go wrong. Here are 7 steps companies can take to ensure data quality up front:
- Begin by building a data quality mindset in the C-Suite
- Enlist data stewards and quality champions
- Hire the right skills, or train them
- Decide what metrics will usefully measure data quality in your organization
- Seek and destroy data silos
- Ensure data quality procedures begin at ingestion
- Deploy data quality management tools
11:00 – 11:15
Closing remarks
Some of our Speakers
Director, IT Operations (Infra, Network, Data Management, Cybersecurity and Service Management) at SAL – Saudi Arabian Logistics
VENUE
Atlantis, The Palm, Dubai
Crescent Rd – The Palm Jumeirah
Dubai, United Arab Emirates
Quick Facts about
COMMON SENSE
Data & Analytics Dubai
Invitation-only
We are very selective about who we invite to Common Sense Conferences so you can network and learn from smart data & IT leaders from a variety of industries and the most innovative data infrastructure & analytics vendors.
Fully paid for
The conference program, airfare, hotel and meals are all covered for qualified participants.
Intentionally small
60-70 participants and 10 sponsors can easily get to know each other over the course of the conference, starting relationships that can last a lifetime.
VENUE & REGISTRATION
Dubai
Atlantis, The Palm, Crescent Rd – The Palm Jumeirah – Dubai – United Arab Emirates
TALK TO US
Registration for this event is now closed
Registration for the conference has been closed because we have reached the maximum number of registrations for this event. Thank you for your interest!
OUR CURRENT SPONSORS
PREVIOUS EVENT SPONSORS
About Common Sense Conferences
Common Sense Conferences are produced by BuyerForesight, a global marketing services and research firm with offices in Singapore, USA, The Netherlands and India.
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 commonsense.events.
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.
Yes.
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.
Logistics
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.
Sessions
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.
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.
Participants
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.
Yes.
Other participants are Data and Analytics and AI executives in medium to large enterprises in a variety of industries.
Sponsors
Sponsors are leading data infrastructure and data analytics technology vendors in the Middle East.
No.
Yes, we will share the information you provide to us with sponsors.
Yes, sponsors will reach out to you after the conference.
Yes.
Yes.