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Databricks, a leading data and artificial intelligence (AI) company, has launched its data intelligence platform for energy. This platform is designed to fundamentally improve the energy sector by leveraging the power of AI to provide comprehensive insights into various data streams. Built on open land lake house architectureit provides energy companies with the tools to develop generative AI applications, ensuring data privacy and protection of confidential intellectual property (IP).
With that platform, energy industry leaders can get a real-time, holistic view of their operations. This allows them to proactively manage maintenance needs, minimize unplanned downtime, accurately forecast energy production and take steps towards a more efficient and sustainable future.
Navigating a transition to renewable energy
The global energy landscape is transforming considerably, moving towards a more intelligent, a cleaner and more reliable system. Renewable energy is responsible for almost 30% of the world’s energy, indicating a paradigm shift in energy production and management. The Data Intelligence Platform for Energy democratizes access to data within organizations, maximizing the value of asset, operational, environmental and customer data to optimize energy infrastructure and mitigate market volatility.
Leading organizations such as the Australian Energy Market Operator (AEMO), Chevron Phillips Chemical, Cosmo Energy, Octopus Energy, Shell, TotalEnergies and Wood Mackenzie have already adopted Databricks, leveraging its capabilities to power their digital transformations.
Dan Jevons, Vice President of Digital Innovation at Shell, highlights the transformative impact of Databricks on their digital journey, enhancing data analytics and AI capabilities for strategic decision-making and operational improvements. Similarly, David Sykes, Head of Data at Octopus Energy, credits the platform with enabling the analysis of large data sets from smart meters, driving customer-centric innovations and supporting the global revolution green energy.
Unlocking the potential of data and AI in the energy sector
Addresses of Databricks platforms critical industry challenges through:
- Real-time asset performance management: leverage sensor data to optimize operational efficiency and reduce downtime.
- Renewable Energy Forecasting: Improve profitability with machine learning-based predictive capabilities.
- Network Optimization: Using advanced analytics for real-time network visibility, outage prediction, and supply-demand balancing.
Shiv Trisal, Global Energy and Manufacturing Industry Leader at Databricks, highlights the strategic advantage of integrating data, analytics and AI to effectively navigate the energy transition and foster an ecosystem sustainable energy for all.
Accelerate analytics with pre-built and tailored solutions
The platform offers use case accelerators to accelerate analysis processes and address high-value industrial challenges. These include solutions for knowledge base Q&A agents, IoT predictive maintenance, digital twins, wind turbine maintenance, network edge analytics, and real-time data ingestion.
Databricks collaborates with leading partners such as AVEVA, BKO, Capgemini, Celebal Technologies, CCKDelta, Deloitte, Neudesic and Seeq to provide tailored analytics solutions on Lakehouse architecture, driving digital transformation in the IT industry. ‘energy.
Industry experts from AVEVA, Capgemini and Deloitte share insights on leveraging the Databricks Energy Data Intelligence Platform to modernize data estates, optimize digital investments and unlock business opportunities. new paths to growth and sustainability.
This platform represents a monumental step forward in the energy sector’s digital transformation journey, promising a future where AI and data-driven insights lead the way to a more sustainable, efficient and resilient energy landscape.
