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Databricks Launches Data Intelligence Platform for Energy, Bringing Generative AI Capabilities to the Energy Sector
Wednesday, April 17, 2024

New Databricks offering provides pre-built accelerators, marketplace solutions, and an ecosystem of partner capabilities tailored to organizations across the energy industry

SAN FRANCISCO, April 9, 2024 /PRNewswire/ -- Databricks, the Data and AI company, today announced the Data Intelligence Platform for Energy, a unified platform bringing the power of AI to data and people across the energy sector. Built on an open lakehouse architecture, Databricks' Data Intelligence Platform for Energy enables enterprises to harness vast streams of energy data and develop generative AI applications without sacrificing data privacy or their confidential IP. Energy leaders gain a holistic view into their operations in real time to preemptively address maintenance needs, reduce unplanned downtime, accurately forecast energy generation, and take action for a more efficient, sustainable future.

The transition toward diversified energy sources is driving industry demand for a unified approach to data, analytics, and AI

The energy sector is experiencing a paradigm shift toward a smarter, cleaner and more reliable energy system, with renewables now providing nearly 30 percent of global power. With the Data Intelligence Platform for Energy, customers can democratize data access to their entire organization by delivering the full value of asset, operations, environmental, and customer data to optimize energy infrastructure and mitigate volatility. Databricks has been adopted by industry-leading organizations such as Australian Energy Market Operator (AEMO), Chevron Phillips Chemical, Cosmo Energy, Octopus Energy, Shell, TotalEnergies, Wood Mackenzie, and more.

"Embracing Databricks has been transformative for our organization's digital transformation--it's the engine that powers our data-driven innovation for asset operations," said Dan Jeavons, Vice President of Digital Innovation at Shell. "With Databricks, we've accelerated our data analytics and AI capabilities, helping to unlock real-time insights that drive strategic decisions and create process improvements, cost reductions, and production increases across our business."

"Octopus Energy is transforming energy systems through tech, delivering exceptional customer service while bringing bills down for customers. Databricks' Data Intelligence Platform for Energy plays a key role in this, allowing us to process and analyze large data sets generated by smart meters," said David Sykes, Head of Data at Octopus Energy. "By gaining deeper insights into customer behavior and energy consumption, we can continue to create innovations and services our customers love so much, and ultimately drive the green energy revolution globally."

Databricks delivers an open, flexible data and AI platform. With powerful tools and partners, Databricks' Data Intelligence Platform for Energy enables customers across the energy sector to tackle critical challenges in the industry, including:

    --  Real-time asset performance management and maintenance: Organizations
        can gather, analyze, and visualize vast amounts of sensor data from
        every physical asset -- wind turbines, grids, pipelines, and machinery
        -- to monitor and optimize performance in real-time, reduce downtime,
        and enhance overall operational efficiency.
    --  Accurate, efficient renewable energy forecasting: Customers can minimize
        forecasting uncertainty and the unpredictable nature of wind, solar and
        hydropower sources with sophisticated predictive capabilities powered by
        machine learning (ML). By integrating weather forecasts, performance
        data, pricing trends and demand projections on a unified platform, the
        energy sector can more accurately manage demand and enhance resource
        allocation to maximize profitability in a volatile market.
    --  A proactive, predictive approach to grid optimization: With the
        deployment of Advanced Metering Infrastructure (AMI), utilities can
        leverage advanced analytics and predictive modeling to gain real-time
        visibility into grid conditions. The Data Intelligence Platform for
        Energy enables companies to better forecast load, predict outages and
        balance supply and demand, reducing transmission losses, and improving
        overall grid reliability and resilience.

"Successful energy companies will set themselves apart by leveraging data, analytics and AI in novel ways to simultaneously minimize the risk of their strategies and tap new opportunities enabled by the energy transition," said Shiv Trisal, Global Industry Leader for Energy and Manufacturing at Databricks. "This requires a different approach towards data intelligence that puts the power of AI in the hands of every user regardless of technical ability, allowing them to unlock unique insights from the company's full knowledge base and data to power new innovations and shape a smarter, reliable and sustainable energy system for all."

Pre-built data and AI solutions customized to tackle high-value customer use cases

The Data Intelligence Platform for Energy offers packaged use case accelerators that are designed to jumpstart the analytics process and offer a blueprint to help organizations tackle critical, high-value industry challenges. Popular data solutions for customers across the energy sector include:

    --  LLMs for Knowledge Base Q&A Agents: Easily build an LLM-powered chatbot
        with Databricks that is pretrained with industry context and a
        customer's knowledge base to offer an elevated, personalized experience
        to their end users.
    --  IoT Predictive Maintenance: Ingest real-time Industrial Internet of
        Things (IIoT) data from field devices and perform complex time-series
        processing to maximize uptime and minimize maintenance costs.
    --  Digital Twins: Process real-world data in real-time, compute insights at
        scale and deliver to multiple downstream applications for data-driven
        decisions.
    --  Wind Turbine Predictive Maintenance: Analyze wind farm productivity and
        predict faulty wind turbines through a mix of AI/ML and domain-specific
        models.
    --  Grid-Edge Analytics: Optimize energy grid performance and prevent
        outages by unifying data from various IoT devices and training a fault
        detection model to easily spot and address anomalies.
    --  Real Time Data Ingestion Platform (RTDIP): Enables optimization,
        surveillance, forecasting, predictive analytics, and digital twins with
        a cloud-native open source framework focused on data standardization and
        interoperability.

Databricks partners deliver an ecosystem of purpose-built solutions for energy

Additionally, industry-leading Databricks partners including AVEVA, BKO, Capgemini, Celebal Technologies, CKDelta, Deloitte, Neudesic, and Seeq are driving the Data Intelligence Platform vision by delivering pre-built analytics solutions on the lakehouse architecture that are tailor-made for the energy industry. Featured partner offerings include:

    --  BKO: BKO's Common Model combines market and trading data with plant
        maintenance, inventory and operational data to produce a level of
        optimization far beyond simple plant maintenance and inventory
        management, all stored and managed by Databricks' Unity Catalog.
    --  Celebal Technologies: Leveraging its Power and Utility Forecasting
        Framework (PUFF), Celebal Tech provides an innovative renewable energy
        forecasting solution that delivers granular and holistic forecasts
        encompassing diverse categories like load, generation, price and
        weather. PUFF seamlessly integrates external factors like weather
        patterns and pricing to deliver accurate forecasting that empowers
        energy stakeholders to optimize resource allocation and planning.
    --  CKDelta: CKDelta DeltaPower is an AI intelligent application that
        utilizes extensive data analysis, including information on people
        movement, location attributes, and nearby factors, to identify the most
        strategic and high-demand locations for the installation of public
        charging stations for electric vehicles. It maximizes future revenue
        potential, calculates carbon offset and ensures reliable performance,
        all with a focus on a seamless user experience.
    --  Neudesic: Smart Meter Analytics by Neudesic provides utility companies
        with a robust framework accelerator for ingesting, storing, and
        analyzing AMI (advanced metering infrastructure) data. This scalable
        solution orchestrates billions of daily data points with near-real-time
        analytical capabilities, empowering grid operators to utilize AI for
        understanding grid health, load demands, forecasts, and customer usage
        patterns.

"The energy transition is moving at an exponential rate, forcing organizations to be more efficient and robust with digital investments. Traditional methods of ETL are not enough. The combination of CONNECT with Databricks through Delta Sharing holds the promise to truly deliver on energy transformation at speed and scale," said Bry Dillon, SVP, Partners and Commercial Strategy at AVEVA.

"At Capgemini, our IDEA framework has been leveraged by many including some of the largest Energy, Utilities and Chemical companies in the world to modernize their data estates using various Databricks products. This accelerates their digital transformation journey leveraging Data and AI to improve their operations. The ability to position the Data Intelligence Platform at the center of this architecture will ensure that the solution is open, secure, scalable, and optimized for total cost of ownership. RAISE, our new GenAI framework, will facilitate further improvement. This blueprint and capacity to deliver the platform as code is accelerating the time to business outcomes," said Michael Doyle, Executive Vice President and Energy and Utilities Industry Leader at Capgemini.

"As we navigate through the era of digital transformation, the convergence of AI and data is revolutionizing the Energy, Natural Resources, and Industrial sectors. At Deloitte, we're not only optimizing operations but also unlocking new avenues of growth and sustainability with the power of the Databricks Data Intelligence Platform. Together with Databricks, we look forward to empowering our clients on their data and AI journey," said Ram Iyer, AI & Data Leader, Energy and Chemicals at Deloitte Consulting.

For more information about the Data Intelligence Platform for Energy, read the Databricks blog or visit Databricks' Energy Industry homepage. Industry leaders should also consider joining Databricks' Manufacturing, Energy and Transportation Forum in Houston, Texas on April 17, 2024 to hear industry insights and best practices from Databricks customers and leaders.

About Databricks
Databricks is the Data and AI company. More than 10,000 organizations worldwide -- including Comcast, Condé Nast, Grammarly, and over 60% of the Fortune 500 -- rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe, and was founded by the original creators of Lakehouse, Apache Spark(TM), Delta Lake, and MLflow. To learn more, follow Databricks on LinkedIn, X and Facebook

Press Contact:
Press@databricks.com

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SOURCE Databricks



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