How to use conversational analytics with Looker and Google Cloud's Gemini.

AI is the biggest capital investment of our time. Google, Microsoft and Meta alone are pouring tens of billions of dollars every year into AI infrastructure, R&D, and product innovation. There are countless new AI point solutions popping up - many of them super exciting - but not prioritizing your company’s existing partnerships with the likes of Google and Salesforce (who are already ingesting, processing, and, most importantly, protecting your valuable data) is, in my view, short-sighted. I’m proud of the work our team at Adara - A RateGain Company has done leaning into data exploration and enrichment with Google Cloud BigQuery and Vertex AI — showing what’s possible when data meets AI without compromise. Check it out.

🔊I am thrilled to announce a game-changing partnership: Overdose. is pioneering a new standard for marketing excellence by adopting Looker as its unified Business Intelligence and Data Platform.🔊 - On Google Cloud’s most powerful stack: #𝗟𝗼𝗼𝗸𝗲𝗿, #BigQuery, and #𝗚𝗲𝗺𝗶𝗻𝗶 𝗔𝗜.💥 This isn't just a tech upgrade. This is a commitment to transforming Overdose Digital into an 𝗔𝗜-𝗙𝗶𝗿𝘀𝘁 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝗔𝗴𝗲𝗻𝗰𝘆. ⚡𝗧𝗵𝗲 𝗘𝗻𝗴𝗶𝗻𝗲 (𝗕𝗶𝗴𝗤𝘂𝗲𝗿𝘆): A serverless, hyper-scalable data warehouse that unifies all data at lightning speed. 💡𝗧𝗵𝗲 𝗧𝗿𝘂𝘀𝘁 𝗟𝗮𝘆𝗲𝗿 (𝗟𝗼𝗼𝗸𝗲𝗿): The semantic model that sits on top, ensuring every metric is consistent, governed, and accurate—a single source of truth. 🧠𝗧𝗵𝗲 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 (𝗚𝗲𝗺𝗶𝗻𝗶 𝗔𝗜): The generative AI capability that unlocks Conversational Analytics, allowing anyone at the agency to ask complex questions in plain language and get instant, visual answers. This partnership transforms reporting into predictive dialogue, freeing analysts for strategic work and delivering unprecedented agility to Overdose Digital.🔥 🙌Congratulations to the entire team at Overdose Digital. They are not just using AI—they are embedding data and AI into the core of their business, setting a new benchmark for agency innovation!!!! 🏆 I can't wait to see the incredible results this partnership will drive! 🚀 Frances Leung Amy Chua Edison Mok Travis Rath Zara Craig Stephen Davern Ashley Smith Arshad Mirza Ryan Delaney Paul Pritchard Mike Bayly Laura Jackson Peter Hay Adam Ellington Bige Yilmaz Todd Welling Google Cloud #AIFirst #Looker #BigQuery #GoogleCloud #MarketingAgency #DataStrategy #OverdoseDigital

The world of data analytics continues to move faster — not just in tools, but also in how we connect insights across platforms. I found this article from Google Cloud fascinating. It highlights innovations like real-time analytics, schema inference, and autonomous platforms — areas that are reshaping how analysts and engineers design modern data solutions. For those of us working with Fabric, Power BI, and cloud data systems, these trends show how analytics is shifting from static dashboards to dynamic, continuously learning ecosystems. Curious how others see this — are your teams already experimenting with similar patterns? https://lnkd.in/gAHTNkz8

We're excited to share Snowflake’s fourth annual Modern Marketing Data Stack report is now live! Snowflake assessed the use of marketing technologies by 11,100+ customers to identify the tools marketers are using today and uncovered three key trends that are defining the future of the AI Data Cloud for marketing that partners should know about: ➡️ AI: A business accelerator that can drive efficiency and create new revenue opportunities ➡️ Data Gravity: The shift to an open architecture and a single, unified platform to break down data silos ➡️ Privacy: A new level of data privacy, security, and transparency is needed to maintain customer trust 🔗 Read the full report to understand how Snowflake is uniquely positioned to win marketing use cases with our incredible partners like you! https://lnkd.in/gGuh3u-u #MMDS2026Partner #snowflakepartnernetwork #snowflakepartners

I love seeing moments when the future of tech becomes a reality. This is one of them. We're moving beyond complex SQL queries to simply having a conversation with our data. This new post from the Google Cloud team shows exactly what this looks like in practice. They've launched amazing new tools in BigQuery that let you ask complex questions in plain English and get deep, meaningful insights back. As a product manager in Google Research, seeing our foundational work help power these new agent-like experiences in Cloud is just fantastic. It’s the "why" behind what we do - seeing complex research become a tool that anyone can use to get answers. I'm so incredibly proud of the research team for enabling this. The post shows how you can ask for business insights and even get forecasts about the future (which is powered by our TimesFM model), all through a natural conversation. Conversational analytics is the future, and it's amazing to see it unfolding. Give the blog post a read to see these new "agentic" tools in action. Very cool stuff. https://lnkd.in/gGmcwBBG #GoogleCloud #BigQuery #AI #DataAnalytics #ConversationalAI #AgenticAI #GoogleResearch #TimesFM

🤖 𝗔𝗜-𝗯𝗮𝘀𝗲𝗱 𝗳𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 𝗮𝗻𝗱 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗶𝗻 𝗕𝗶𝗴𝗤𝘂𝗲𝗿𝘆 𝘃𝗶𝗮 𝗠𝗖𝗣 𝗮𝗻𝗱 𝗔𝗗𝗞 🤖 ➡️ Google Cloud adds conversational analytics and built-in forecasting tools for BigQuery via MCP and ADK. 🚀 What’s new: • ask_data_insights — lets agents query BigQuery in plain English and get answers + logs. • BigQuery Forecast — time-series prediction using the TimesFM model via AI.FORECAST. • Both tools are now part of MCP Toolbox and Agent Development Kit (ADK). • Example: GA data agent combining conversational insights + forecasting in one agent 💡 Why it matters These tools let developers embed advanced analytics and predictions into agents and apps without building ML pipelines from scratch. Teams can deliver more intelligent, data-driven features faster. 🔗 Read the full blog here: https://lnkd.in/dnY2bTW5 Which use case would you apply these tools to in your data stack? 🧐 #GoogleCloud #BigQuery #AI #MachineLearning #DataAnalytics #Agents #MCP #ADK

Struggling to feed your AI and analytics platforms with timely data? 🚀 We've introduced a new pattern in Google Application Integration to streamline large-scale data ingestion without custom code. Build a truly 'Connected Enterprise' with scalable, resilient data pipelines. Supports sources like Salesforce (Bulk APIs) and MongoDB (pagination). Empower your teams and fuel your critical initiatives. Get the full guide below! 👇 ▶️ Explore the technical article & watch the implementation guides → #GoogleCloud #ApplicationIntegration #DataPipelines #AI #BigData https://google.smh.re/5DLP

I’ve seen so many teams overcomplicate “data quality” projects. Often, it comes down to a handful of simple checks and habits 👇

Decision-makers, employees, and customers all need answers where they work: in the applications they use every day. In recent years, the rise of AI-powered BI has transformed our relationship with data, enabling us to ask questions in natural language and get answers fast. But even with support for natural language, the insights you receive are often confined to the data in your BI tool. At Google Cloud, our goal is to change this.