Data transformation and AI requires more than correct tools – it needs the right strategy. Therefore, the data strategy at the data + AI summit is designed specifically for business managers.
During 20+ sessions, the global leaders of finance, healthcare, retail retail and government will share how they modernize platforms, put AI into their operations, enabubling talent and building a government that is changing. Whether you are chasing your AI strategy, modernizing older systems or moving to a set of data, this song will provide you with framework, case studies in the real world, and powerful knowledge that you have to confident when implementing the scale of the Databricks Data Intelligence platform.
Join MasterCard, GM Financial, JP Morgan Chase, Govtech, National Australia Bank (NAB) and more ASY shares what works for deploying the Unity, AI/BI and Mosaic AI catalogs in their organizations.
Why does the data strategy follow the manager of the workers
The pace of innovation in data and AI is accelerating – but for most organizations, challenges such as Legacy Infrastructure, ULled data, inconsistent administration and unclear AI strategies are still slowing down. Meanwhile, there was never higher pressure to deform the business value of data.
The Data Strategy trace helps to solve these challenges that focus on five key priorities:
- Alignment of AI initiatives and data with business results
- Modernization of data infrastructure for dexterity and scale
- Building a culture of data literacy and continuous increase
- Operationalization of Public Affairs, Privacy and Compliance Administration
- Creatable repeatable strategies that control the king and resistance
Whether you are a digital digital transformation of CDO, CTO, CTO, CTO or Business Leader, this song provides you with a clear view of how leading organizations implement the Databricks Data Intelligence platform to unify their data, AI and management strategies.
Basic topics in the track of the data strategy
1. Modernization of data and transformation of infrastructure
Older systems can keep your companies back. Hear the company as Nab, rheem, techbank, frontier airlines, and Morgan Stanley They have successfully modernized their data platforms – they moved to the Databricks Data Platform and built on the Lake architecture to allow agility, scale and cost savings.
2. AI strategies and allowing
AI cannot successfully without the correct foundation. Join Lexy Kassan For a fast -growing, powerful AI strategy workshop focused on powerful performance and hear how Veeam, GM Financial, JP Morgan, and Valentino Put AI into everything from customer intelligence to surgical efficiency and personalization.
3 .. culture, talent and organizational readiness
Great tools make no sense without great people. From sessions from 84.51 °, Frieslandcampina, and Loose the Databricks It will show how companies invest in data flow, increase interdropy teams, and seize citizens’ scientists.
4. Administration, compliance with regulations and trust
Trust is the spine of innovation. Learn how the organization like MasterCard, Goldman Sachs, and Standard Chartered Bank They operate privacy, access controls and secure cooperation for cooperation with data cooperation, clean rooms, unity catalog and business management.
5. Strategy and innovation specific to industry
From the public sector to luxury retail, see how leaders apply a data strategy to solve the most difficult challenges of their industry in the field of healthcare, financial services and retail, media and CPG.
What do you take
After a track of the data strategy, you leave with:
- Frameworks Action To create data and plan AI
- Example in the real world about how organizations supply the king via the Databricks Data Intelligence platform
- Proven approaches For managing public things, increasing and matching strategy across trade and IT
Who should wait
This composition is adapted to the decision -making and processing leader, including:
- Main data officers (CDOS), CIO, CTOS
- Data manager, analyst, gold strategy
- Business Managers Managing Managers Heads and Initiative AI Initiative
- Head teams working at the crossroads of business and technology
How to make the best use of tracks
Today, technology leaders face paradox: Data and AI’s promise has never been greater, but to realize that the scale value can be a challenge. Cios, CTO and CDO are expected to lead trusted data that provides fees, business AI and operational effective, all in the management of framework architectures, growing risk and limited budgets. The track strategy trace is your opportunity to hear how today’s most focused organizations turn data into a competitive advantage using the Databricks Data Intelligence Platform.
Join us at the Data + AI summit and let the Insight, Inspiration and Real-World be confident with confidence that you have to lead with confidence. More information on how the leading and leading ideas use the Databricks Platform Data Intelligence Platform here.