Nov 08 - 10

The Future of AI and Data

Stay competitive and relevant by effectively harnessing the power of your Data.

Join us at ChainSys BeConnected Virtual Conference 2023 to discover the key to shaping the future of AI and data. Meet industry leaders and explore real-world use cases to gain valuable insights into how data-driven strategies are shaping various industries and how businesses can stay ahead of the curve.

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Why Attend?

Conference Schedule

TIME (CT)

SESSIONS

SPEAKER

9:00 AM - 10:00 AM
Unleashing the Power of Data: A Strategic Approach to Data Management and AI Integration
In today's landscape, Customer expectations are evolving, with a growing demand for a comprehensive data management and AI program to unlock the full potential of their data. ChainSys is uniquely positioned to empower organizations in this journey through a no-code approach to both data management and AI solutions. We conduct a thorough assessment of your organization's current maturity across critical pillars, including Data Consolidation, Data Governance, Data Quality, Master and Reference Data Governance, Application Development, and AI/ML Solutions. With ChainSys Smart Data Platform, we not only provide a clear roadmap but also execute it swiftly and simplistically, driving your data and AI initiatives to success.
Sundu Rathinam
Founder & CTO, ChainSys
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10:00 AM - 11:00 AM
The Importance of Data in Energy Transition
The transition to a sustainable energy future hinges on the pivotal role of data. Data serves as the foundation for informed decision-making, enabling policymakers, energy companies, and consumers to optimize energy production, distribution, and consumption. It empowers the development of smart grids, renewable energy integration, and energy-efficient technologies such as hybrid energy systems, all of which are critical components of the transition. Furthermore, data-driven insights facilitate monitoring and assessment of environmental impacts, ensuring that the energy transition aligns with global climate goals and environmental sustainability. In essence, data is the driving force behind the transformative shift towards a cleaner and more efficient hybrid energy landscape.
Dr. Diana K Grauer
Director of R&D at NOV
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11:00 AM - 12:00 PM
Transformation: Data as a Reason
In today’s world Transformation is the new normal and Data is ubiquitous.  Bringing both together to drive acute business value for corporations takes resolve and a desire to change.  Change Management, people aspects and cultural shifts are essential ingredients to a successful transformation.  We will share our journey and perspectives around data at the center accompanied by the human element, which is just as critical.
Samir Mehta
Chief Data Officer, Technology at Kroll

Sharon Dhall
Chief Information Officer at Kroll
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12:00 PM - 01:00 PM
Smart Data Integration
dataZap is a comprehensive Integration Platform as a Service (iPaaS) that enables users to seamlessly integrate or migrate data from various origins, whether they are in the cloud, on-premises, or from different systems, to any desired storage platform or application or database. This empowers users with the flexibility to utilize their current data in leading analytics, business intelligence, marketing, and financial software solutions. dataZap facilitates diverse integration and migration scenarios, including cloud-to-cloud, cloud-to-on-premise, on-premise-to-on-premise, and on-premise-to-cloud, and it is capable of supporting almost real-time integration while easily scaling to accommodate the demands of large-scale ETL processes.
Rathinakannan Rajagopal
Product Architect - dataZap, ChainSys
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02:00 PM - 03:00 PM
Democratized Data Governance
Data Governance is a key business priority when seeking technology operational excellence. The democratized governance model empowers team members from all channels of the organization to establish the common means of communication and usage of information. Leveraging modern Data Governance platforms are enabling business and technology groups to increase efficiencies for multiple area of the business; Product Management, Business Operations, Data Assets
Jarred Campbell
Chief Data Officer at PSL Group North America
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03:00 PM - 04:00 PM
Discussion on how big data collection and management is integral to methane detection and mitigation.
The key to methane is collecting millions of data points across the operations to understand where the leaks are coming from, determine the most urgent leaks to fix, and most importantly determine how to prevent the leaks from occurring in the first place.   Methane leaks from production and transportation is a big contributor to greenhouse gases and using big data and machine learning is critical to addressing.  ChainSys goes green y'all!
Sanjay Bhatia
Co-founder of Evolve Collective
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TIME (CT)

SESSIONS

SPEAKER

10:00 AM - 11:00 AM
Modernization of Data Specific to the Manufacturing Vertical: Coverage of Certain Use Cases at a Tier 1 Automative Company
We will delve into how the ChainSys platform can assist in enterprise-wide operational efficiencies and alongside, explore the answers to the question, how does it help the bottom line..?  Moreover, this session will walk through a curated subset from the broad range of efficiencies gained in the Health&Safety Initiatives space, highlighting the tangible benefits reaped by the company.
Jay Balan
Chief Information Officer (CIO) and VP, ChainSys
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10:00 AM - 11:00 AM
TBD
TBD
Vivek
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11:00 AM - 12:00 PM
Streamlining Customer Data Management: How Overhead Door Enhances Efficiency with dataZen
In today's data-driven business landscape, effective customer data management is crucial for companies to provide personalized services, improve customer satisfaction, and drive growth. Overhead Door, a renowned leader in the garage door industry, has embraced the power of dataZen to simplify and optimize its customer data management processes. Today, we'll explore how Overhead Door leveraged dataZen to streamline their customer data management, resulting in increased efficiency and better customer experiences.
Rathna Vuppala
Head of MDM and Data Governance at Overhead Door Corporation
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01:00 PM - 02:00 PM
Inside the Engine: Exploring Data Management Platform (DMP) Architecture and Its Building Blocks
A Data Management Platform (DMP) is a robust and sophisticated solution designed to meet the complex data needs of large organizations. Enterprises deal with vast volumes of data from various sources, including customer data, transactional data, and operational data. To effectively manage and utilize this data, an enterprise-level DMP offers several key features and capabilities like Scalability, Data Integration, Quality, Governance, Analytics, Monetization etc.The role of Data Management Platforms (DMPs) has evolved into the engine that powers informed decision-making and customer-centric experiences. For organizations seeking to harness the true potential of their data, understanding the intricacies of DMP architecture is paramount.
Subash Chandar Elango
VP - Product Management, ChainSys
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02:00 PM - 03:00 PM
The Double Trust Problem of AI in Operational Use Cases
Operations in major corporations have been living with hype around the promise of ML and AI for decades - cost and time savings, process automation, AI sidekicks. This talk will review the systematic failure of major institutions to produce the two most basic requirements for rolling out ML/AI use cases more broadly - namely, a trusted and interconnected data ontology and a transparent decision making framework. The speaker will draw on his experience as a deployed engineer at Palantir Technologies and explore various tools to effectively engage on-the-ground operators and business owners with these emerging technologies.
Josh Weissmann
Product Manager, PDQ
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03:00 PM - 04:00 PM
Data-Driven Stay Clean and Get Clean Approach for MDM Solution
Master Data Management (MDM) is a critical component of modern data-driven enterprises. Accurate and reliable master data is essential for informed decision-making, operational efficiency, and compliance with regulatory requirements. However, maintaining the quality and consistency of master data is an ongoing challenge. This abstract introduces a "Data-Driven Stay Clean and Get Clean Approach" designed to address this challenge using DataZen.
Anbarasan Murugan
Product Architect - dataZen, ChainSys
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04:00 PM - 05:00 PM
What Role Does AI Play in Data Engineering?

Since new concepts are always being developed and implemented, it is difficult to predict how artificial intelligence and machine learning may affect data automation and integration in the future. So far, we know that they have altered below mentioned aspects of the game:

  • Data Integration
  • Data Extraction
  • Data Mapping and Schema Alignment
  • Data Transformation
  • Data Quality Assurance
  • Data Validation and Testing
  • ETL Optimization and Automation

Let's talk about them.

Amarpal Nanda
President - EDM and Chief BDO, ChainSys
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TIME (CT)

SESSIONS

SPEAKER

9:00 AM - 10:15 AM
dataZense - Data Catalog, Data Privacy and Data Analytics
The Data Zense data visualization tool transforms data into engaging visuals, enhancing organization and analysis. Within the Data Catalog section, you'll find a collection of metadata, as well as search and data management tools. These catalog features are essential for helping analysts and other data users quickly find the information they need. By harnessing the power of unstructured data, valuable insights can be extracted, enabling businesses to make well-informed, structured data.
Dharmaraj Muthukrishnan
Product Architect - dataZense, ChainSys
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11:15 AM - 12:15 PM
Smart App Builder - R23.Q2
The Smart AppBuilder product helps end-users to create a customized application. An end user can design any web & mobile application effortlessly by using the Smart AppBuilder Product. The key advantage of this product is, it works on no code / low code app development platform. Here we can learn how to create a non-coding application. It's a simple process of drag and drop the design tool to create an application. The major three process hierarchies for constructing a non-coding application are object, layout & application creation. Users can customize the application even more, by using the various features.
Omprakash Kamaraj - Senior Functional Consultant, ChainSys

Malathi Murugan - Product Developer, ChainSys
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Meet the Speakers

Unlock your data with ChainSys

Seize your data-driven future at ChainSys BeConnected Virtual Conference 2023. Register now and lead the way!

Register Now