Summit
Artificial Intelligence today is not just a technology of the future, but a tool that is already reshaping reality: from medical diagnostics to fighting climate crises. Its study is no longer the domain of narrow specialists - it has become a necessity for everyone who wants to understand how the modern world works and influence its development.
New technologies: important events
There are many AI Events dedicated to technology development, sharing experiences and discussing strategies. Some of the most common formats are AI and big data innovation summits and conferences. These formats differ significantly in content, structure and target audience.
Data & AI Summit is a technical summit for creators
This format can be called a ‘laboratory for professionals’. Its main objective is to delve into technologies, share engineering experience and demonstrate new tools. At such summits, system architects, data engineers, framework developers and researchers speak.
These events include technical sessions, learning workshops, hackathons, new solution demonstrations, and certification programmes. This is a space for practitioners, where you can not only learn about the latest innovations in the industry, but also discuss real challenges and ways to solve them at the engineering level. It is not uncommon for organisers to announce new products and hold certifications. It's a place where specialists share know-how and companies look for talent for their technical teams.
A prime example of this type of event is the upcoming Data and AI Summit 2025, organised by Databricks in San Francisco, USA. This event stands out not only for its scale - more than 20,000 in-person and virtual participants - but also for its deep technical focus. The programme will be based on over 500 sessions covering key tools and platforms such as Apache Spark, MLflow, Delta Lake, as well as current trends such as generative AI. There is a strong emphasis on hands-on learning. Attendees can get certified, participate in hands-on labs and technical workshops. Broadly speaking, this is a rare opportunity to combine theory and practice.
Data-Centric AI Workshop: the art of data management
These workshops are hands-on sessions for those who understand that even the most advanced AI model is useless without quality data. Such workshops are held at major summits, universities, or within companies.
Unlike traditional ML workshops, where participants experiment with architectures and algorithms, data ai summit focuses on quality, markup, cleaning, and information management. Participants learn to identify and eliminate errors in datasets, work with synthetic data, use active learning techniques, and integrate approaches into CI/CD pipelines. This enables them not only to improve models, but also to make them robust in a real-world environment.
Data AI Conference - strategic dialogue for leaders
If the data and ai summit focuses on the ‘how’, the big data and ai conference answers the ‘why’ and ‘what's next’ questions. It is a platform for CEOs, CIOs, digital transformation directors and regulators.
The discussion here is not so much about specific technologies, but about their business impact, implementation models, organisational and cultural changes related to the use of information and AI. Topics often touch on return on investment, risk management, ethics and regulatory issues, which are particularly important for those making decisions about implementing new technologies across the organisation. Conferences take the form of panel discussions, case studies, roundtables and strategy sessions where attendees can share management experiences and perspectives on the future of the industry.
Data-Centric AI Conference: when data drives the future
Data and ai conference is a platform for those who believe that the key to AI success lies not in algorithms, but in data. It shifts the focus from models to the ‘raw materials’ from which they are created. But it's not just about technology. An important part of the discussion is company-level information management. How do you measure the ‘health’ of data? How to build processes so that every team - from analysts to top management - speaks the same language? How to integrate a data-centric approach into MLOps so that data doesn't degrade once the model goes into production?
This event brings together not only engineers and data practitioners, but also executives, product managers and researchers interested in building AI systems that can perform consistently in real-world environments. The difference from technical workshops is scale. Whereas workshops teach how to clean datasets, here they decide how to create a information culture in an organisation.
Data & AI Summit vs. Data & AI Conference: the key difference
So, the difference between the two formats is not only in the content, but also in the approach. Summit is about depth and technical specificity, while Conference is about breadth and managerial perspective. The first format is suitable for those who work directly with technology and want to deepen their knowledge and skills. The second one is for those who form a strategy and make decisions on how technologies should be integrated into business. Both formats are important, and together they create a complete picture of the modern world of information and AI.
Where to find interesting events and tell us about your own?
From global conferences to localised meetups, it's easy to find interesting AI events today. Platforms, as well as professional communities and research centres regularly publish announcements of current events.
If you're organising an AI event yourself, spread the word through these same channels: profile groups, industry digests and platforms like allai.events can help you find your audience and attract the attention of the professional community. Study the pricing and the list of available options to maximise the promotion of your event and make it known.
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