Artificial Intelligence | News | Insights | AiThority
[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]

Habu Unveils Generative AI Capabilities on Google Cloud to Create Value From Data Clean Rooms

Habu, the Global Innovator in Data Clean Room Software, announces it is bringing Google Cloud’s generative AI capabilities with Google Cloud to help enterprises and their partners implement data clean rooms with greater velocity and scale.

Read More about AiThority InterviewAiThority Interview with Dr. Mark Austin, VP Data Science at AT&T

“By enabling enterprises to access partner data securely through clean rooms, we’re catalyzing the creation of truly insightful AI systems that can supercharge operations and outcomes.”

The introduction of generative AI marks a significant milestone in the evolution of data collaboration. Habu’s technology improves business insights by performing three pivotal functions:

  • Opportunity Discovery: Generative AI can help users in clean rooms understand what types of insights and outcomes can be derived based on the data available in the clean room. For example, proactive alerts about data spend.
  • Use Case Implementation: Once an analytical opportunity is identified, generative AI can reduce the time and effort required to implement each of the steps of the clean room workflow. For example, creating templates based on specific data segments and attributes.
  • Enhanced User Interaction: Going beyond the traditional BI model of consuming insights, generative AI can allow end users to simply ask questions within clean room workflows, providing a more natural language way of asking questions and interpreting outputs. For example, asking which collaboration partners have the highest overlap within particular product cross-sell segments.

Clean rooms can create meaningful value for businesses in this arena, acting as secure conduits to access partner data without the need for physical data movement. With secure data practices, clean rooms can encourage data-rich businesses to share insights with strategic partners for model refinement.

Related Posts
1 of 40,789

AiThority Interview Insights: AiThority Interview with Ketan Karkhanis, EVP & GM, Sales Cloud at Salesforce

One specific opportunity for enterprises is the ability to use clean rooms to tune or train their own proprietary AI models with context that can only be provided in collaboration with partners. For example, teams at CPG companies who are looking to ask AI questions that can only be answered with data involving retailers’ transactions, can use those signals from clean rooms to inform the downstream models with the necessary context.

Through this pioneering technology, Habu breaks down barriers for enterprises seeking to integrate insights from their LLMs. The utilization of critical 2nd party data from partners within a secure clean room environment optimizes contextual understanding, ultimately bolstering the entire Google Cloud ecosystem.

“Today’s business landscape demands contextually rich insights to drive impactful decisions,” stated Matt Karasick, Chief Product Officer at Habu. “By enabling enterprises to access partner data securely through clean rooms, we’re catalyzing the creation of truly insightful AI systems that can supercharge operations and outcomes.”

“Generative AI represents an opportunity for businesses to better utilize and derive more value from their data,” said Rodrigo Rocha, Director, Global Partnerships at Google Cloud. “Through new generative AI features, built with Vertex AI, our partners like Habu are helping people more quickly understand their critical data, with the highest levels of privacy and security.”

 Latest AiThority Interview Insights : AiThority Interview with Matthew Tillman, CEO and Co-founder at OpenEnvoy

 [To share your insights with us, please write to sghosh@martechseries.com] 

Comments are closed.