Julien Sauvage 🥖

Our Call Score API - a very successful, business-ready application of GenAI techniques to measure and evaluate conversations - has a new set of features! You can try it out now, explainer and technical documentation below... We just launched the ability to define 'Custom Criteria' to evaluate any given conversation, and a 'Scorecard' that combines all these criteria together. This release continues our efforts to go beyond just the hype of Generative AI, and to build products that our customers need, want to use, and can integrate into their businesses and products from Day 1. Give it a try today! Blog: https://lnkd.in/gEvubpVt API Reference: https://lnkd.in/gmneKYCK.. Documentation: https://lnkd.in/gn_mr8VK.. #SymblDotAI #CallScore #CallScoring #ConversationUnderstanding #NLP #NLU #Conversation #ConversationAI #GenAI #GenerativeAI #NebulaLLM

1

Some things are just better together!  With Snowflake Native Amplitude, you get all the benefits of Amplitude without your data ever leaving Snowflake. That means one single source of truth for all your enterprise, financial, and behavioral data to inform better product decisions. Check it out below! ❄️

5

It was great having Jean-Paul Elbekian on the latest GTM Secrets podcast. We talked about first party data, AI analysis, and so much more. Check it out on Spotify, YouTube, and more! #b2bmarketing #marketinganalytics #revops

3

1 Comment

Big announcement today- we’re unlocking Snowflake data for everyone!  With Snowflake Native Amplitude, you get all the benefits of Amplitude without your data ever leaving Snowflake. That means one single source of truth for all your enterprise, financial, and behavioral data to inform better product decisions. Learn more:

357

35 Comments

There are rumors coming out of Snowflake Summit this week that Snowflake’s launching a semantic layer. Standardizing key metrics like revenue is crucial for streamlining analytics and reporting. DBT and Snowflake's semantic layer products will make this concept mainstream. But metrics aren't the only thing companies lack a standard definition for. Companies care about customers (hopefully) but often don't have a consistent customer definition. Consider a B2C company with customer interactions across multiple channels: 1. Anonymous (guest) visits from multiple devices 2. Logged-in users 3. Physical store interactions Are these interactions considered as one customer or multiple? Is there alignment on this definition between different teams? Is product measuring the funnels for the same set of customers that marketing is targeting with email campaigns? Is data science building life-time-value or churn models for the same customers who are receiving marketing emails? Without a consistent customer definition, teams can't have a shared understanding of the customer's journey. This results in a disconnected experience across product and marketing channels. There's a pressing need for a customer 360 semantic layer. That's what we're building with RudderStack Profiles.

132

1 Comment

🔐 Boost Your Snowflake Security with Key Pair Authentication In our new blog, we highlight how key pair authentication is transforming data security for Snowflake users. This method offers a robust, efficient way to manage access and protect sensitive information. Learn how you can implement this feature to enhance your security framework.

3

Big news at Tealium 🎉 We're mentioned in Snowflake's Modern Marketing Data Stack! Learn how leading marketers play to win regarding AI, data privacy, and more. Check out more information about the report 👉✨ https://gag.gl/J03wyi.

21

2 Comments

Using Kumo.AI in your Snowflake environment is like peanut butter and chocolate - better together! Check out this webinar to learn more.

10

1 Comment

Whether you're technical or not, you should check this out. Ignore the title, even if it sounds like Charlie Brown's teacher. "Salesforce Announces GA of Data Cloud Vector Database, Unleashing the Power of Unstructured Data and Generative AI" (Link in Comments) What the heck does that mean? Businesses can now unlock insights from previously inaccessible unstructured data and take action across all channels and touchpoints, including sales, service, marketing, commerce, analytics, and other applications.😮 90% of your customer data is trapped in PDFs, emails, call transcripts, online customer reviews, and support tickets and other unstructured formats. You can now integrate these directly into customer profiles to gain a deeper understanding of customer needs and preferences, without having to rely on expensive and labor-intensive solutions. THINK ABOUT ALL THOSE EMAILS

14

2 Comments

QEval helps predict and prevent customer churn:    • Analyzes conversation sentiment and patterns  • Flags at-risk customers before they churn  • Identifies indicators of dissatisfaction or frustration  • Enables proactive intervention to save customer relationships    Reduce churn with QEval's predictive analytics: https://bit.ly/3Y62Cxs     #ChurnPrevention #CustomerRetention #QEval 

22

From ZoomInfo to DocketAI: Arjun Pillai’s Journey to Revolutionize Technical Sales with AI Arjun Pillai, former Chief Data Officer at ZoomInfo, founded DocketAI following his entrepreneurial instinct. The AI-powered platform streamlines technical sales processes, enabling sales engineers to focus on more complex tasks. DocketAI's learning abilities from top salespeople and positive feedback from enterprise-level clients demonstrate its effectiveness, marking a substantial impact on business operations. To read more, please follow the link https://ift.tt/Z3WoUpP #ai #machinelearning #analytics #instadatahelp

1

Introducing Databricks AI/BI. Intelligent analytics for real world data. "AI/BI marks a significant step towards true self-service BI, substantially expanding the types of analytics everyday users can do through an AI-first approach." #databricks #ai #bi #dataintelligence

10

Are you passionate about #Data, #Analytics, and #DrivingActionableIntelligence through #Qlik, just like this amazing group of people? If the answer is yes, take a look in to joining the #QlikLuminary #QlikPartnerAmbassador Programs and be part of the #DataJourney. #AmazingPeople #Community #DataDriven

10

On the Hyperengage podcast, we talked with Maxwell Lu, founder of Paragon AI (Formerly Pilot AI), about a common challenge faced by growing companies: As teams scale rapidly, maintaining CRM data integrity becomes increasingly difficult. This isn't just about messy data. It's about: 1. Flawed forecasting due to inaccurate information 2. Revenue ops teams wasting time chasing reps for updates 3. Reduced overall team efficiency and productivity 4. Missed opportunities for data-driven decision making Lu's experience in revenue operations exposed him to this widespread issue. Is your CRM data helping or hindering your growth? It might be time to reassess your data management strategy. #CRMOptimization #SalesEfficiency #AIinSales #ScaleUpChallenges #HyperengagePodcast

Haven’t joined the 2nd Annual: Great #Marketplace Scavenger Hunt yet? Check out this video to get started and then head over to Snowflake Marketplace between now and May 31 to test your data product discovery skills (U.S. only - see full program terms and conditions.)

98

1 Comment

Snowflake is definitely a Leader in the AI space, todays "Build Keynote," proved once again, the winning direction Snowflake is executing. Cortex, Snowflake Intelligence, Apache, Snowpark, Its Cutting Edge Data Lakehouse, all signs of a bright future! I will definitely keep building with this platform. #Snowflake #Ai #ArtificialIntelligence #Technology #LLM #GenerativeAi #Data 

4

1 Comment

It's not easy to get AI into production and make it cost-effective, especially at massive scale. Read about how ASAPP is fundamentally changing customer service with AI and #ApacheAirflow...

26