Data and analytics play a vital role as invaluable resources for organizations aiming to flourish in the digital era. They serve as catalysts for improved decision-making processes, innovation, and enhanced customer experiences. Nonetheless, data and analytics present noteworthy obstacles, including the effective management of data quality, privacy, and governance. Additionally, organizations must cultivate a culture of data literacy and navigate the ever-evolving landscape of emerging technologies such as artificial intelligence (AI) and machine learning (ML) to fully harness their potential.
To help data and analytics leaders navigate these challenges and opportunities, Gartner hosted a series of Data & Analytics Summits around the world. These events provided insights, strategies, and frameworks for chief data and analytics officers (CDAOs), and senior data and analytics leaders to think big and drive real impact within their organizations.
The Gartner Data & Analytics Summit 2023 in Mumbai, India, was one of the most important gatherings of data and analytics leaders in the region. The summit took place on 8-9 May 2023 at the Grand Hyatt Mumbai Hotel & Residences. It featured more than 40 sessions covering topics such as leadership, skills and culture, data management, analytics, strategy and value, data science, ML and AI, trust, governance and privacy, master data management (MDM), technical insights for data and analytics practitioners, environmental, social, governance (ESG), innovation, and recession-proofing your data and analytics strategy.
The summit also offered networking opportunities with more than 1,000 data and analytics peers and experts from various industries and sectors. The summit included a special program for CDAOs called the CDAO Circle, which offered exclusive presentations, discussions, and networking opportunities throughout the conference.+
Key speakers:
Some of the key speakers at the summit included Shubhangi Vashisth, conference chair and director analyst at Gartner; Rita Sallam, distinguished VP analyst at Gartner; Jitendra Subramanyam, VP analyst at Gartner; Alan D. Duncan, VP analyst at Gartner; Ankush Jain, senior principal analyst at Gartner; Sanjeev Mohan, VP analyst at Gartner; Donald Feinberg, distinguished VP analyst at Gartner; Mark Beyer, distinguished VP analyst at Gartner; Pieter den Hamer, senior director analyst at Gartner; Erick Brethenoux, research VP at Gartner; Lydia Clougherty Jones, research director at Gartner; Saul Judah, VP analyst at Gartner; Andrew White, distinguished VP analyst at Gartner; Alys Woodward, senior director analyst at Gartner; Carlie Idoine, research director at Gartner; Jim Hare, research VP at Gartner; Svetlana Sicular, research VP at Gartner; Carlton Sapp, research VP at Gartner; Ehtisham Zaidi, senior principal analyst at Gartner; Mike Rollings, research VP at Gartner.
If you missed the summit or want to revisit some of the sessions or keynotes, you can visit the official website here: https://www.gartner.com/en/conferences/apac/data-analytics-india
Here are some questions and answers related to the topic:
Q: What were some of the key takeaways from the summit?
A: Some of the key takeaways were:
- Data fabric is the foundation for building a scalable and agile data and analytics ecosystem that can support diverse use cases across the organization
- Active metadata enhances context and trust for data analysis by capturing information such as relationships among assets (data lineage), usage patterns (data catalog), quality indicators (data quality), behavioral characteristics (data stories), or business definitions (business glossary)
- Data marketplaces enable the distribution and monetization of data assets by facilitating the exchange of data between buyers (consumers) and sellers (providers) within or outside an organization
- Data sharing is a must-have capability for collaboration and innovation among stakeholders who need access to trusted data sources for various purposes such as analytics or compliance
- The graph relates everything by enabling complex queries that reveal patterns or insights across multiple domains or sources
- AI engineering operationalizes AI by applying engineering principles to create reliable AI systems that can scale across an organization
- Smarter faster easier self-service analytics empowers users to access and analyze data without relying on IT or other specialists by leveraging technologies such as augmented analytics (which uses AI to automate tasks such as data preparation or insight generation), natural language processing (which enables users to interact with data using natural language), or embedded analytics (which integrates analytics into applications or workflows)
Q: What were some of the feedback from the attendees?
A: According to a post-event survey, some of the feedback from the attendees were:
- 94% of attendees rated the overall quality of the summit as good or excellent
- 92% of attendees said they gained valuable insights from the summit
- 90% of attendees said they would recommend the summit to their peers
- 88% of attendees said they met their objectives for attending the summit
- 86% of attendees said they plan to attend the next summit
Q: What are some of the upcoming Data & Analytics Summits in other regions?
A: According to Gartner’s website, some of the upcoming Data & Analytics Summits in other regions are:
- Gartner Data & Analytics Summit 2023 in Tokyo, Japan on 4-6 April 2023
- Gartner Data & Analytics Summit 2023 in London, U.K. on 22-24 May 2023
- Gartner Data & Analytics Summit 2023 in Sydney, Australia on 31 July-1 August 2023
- Gartner Data & Analytics Summit 2024 in Orlando, FL on 11-13 March 2024
If you’re looking for more conference lists find them here: Artificial Intelligence Conference