Singapore – Global data and AI company and pioneer of the data lakehouse paradigm, has launched the first lakehouse platform for data-driven businesses in the media and entertainment industry. The Lakehouse for Media & Entertainment enables organizations across the media ecosystem to deliver better data and AI outcomes for consumers, advertisers and media partners with a single and collaborative platform for data, analytics and AI.
Databricks customers like Acxiom, Warner Bros. Discovery, and SEGA are among the earliest adopters. With Brickbuilder Solutions, accelerators, and a powerful partner ecosystem, businesses can create tailored customer experiences, prepare for consumer analytics at scale, and empower increased cooperation among media teams.
The Lakehouse for Media and Entertainment integrates data solutions and use-case accelerators for essential industry use cases such as AI-driven recommendation engines, customer lifetime value and churn, quality of experience, community toxicity analysis, advertising optimization and more.
Companies may use Databricks’ powerful analytics to build a holistic view of their audience and advertisers, make real-time choices, and spur innovation. Databricks enables media companies to use all of their data – including photos, video, and other unstructured data types – to establish a comprehensive understanding of their consumers by supporting real-time analytics, business intelligence (BI), and sophisticated AI capabilities on all data kinds.
Designed to jumpstart the analytics process, Lakehouse for Media & Entertainment Solution Accelerators offers a blueprint of data analytics and machine learning use cases and best practices to save weeks or months of development time for an organization’s data engineers and data scientists.
Popular accelerators for Databricks customers in the media and entertainment industry includes recommendation engines to create more personalised customer experiences with AI-powered content recommendations that drive engagement and monetization opportunities, followed by consumer lifetime value models that easily identify and better understand the most valuable customers with CLV models that concentrate on spending patterns and retention. In order to ensure a high-quality streaming experience, it is important to examine both streaming and batch data sets to ensure a smooth experience for the user. Through the offering, it is also possible to create healthier gaming communities by utilising natural language processing to detect toxic language in in-game user comments and discussions, and this can be done in real-time.
Along with AWS, consulting partners like Cognizant and Lovelytics are accelerating the adoption of the lakehouse platform by developing Brickbuilder Solutions for the Media and Entertainment industry, tailor-made to combine the power of the Databricks Lakehouse Platform with the proven experience of partners. The Lakehouse for Media and Entertainment launches with additional support and capabilities from technology partners Labelbox and Fivetran.
Steve Sobel, global industry leader for media & entertainment at Databricks, said that executing a strategy around data, analytics and AI is more critical than ever for media companies to remain agile, competitive and data-driven as audience demands change with the rapidly evolving media landscape.
“We are thrilled to collaborate with industry leaders like AWS, Cognizant, Fivetran, Labelbox and Lovelytics to bring the Databricks Lakehouse for Media and Entertainment to the industry, and enable media leaders to personalize, monetize and innovate in delivering smarter, 1;1 experiences for consumer and advertisers across the globe,” Sobel said.
