RelationalAI

Your AI can tell you what happened, but can it tell you what will happen and what should you do next? @RelationalAI extends @Snowflake's new, generative AI-powered Snowflake Intelligence experience to bring high-stakes decision intelligence with grounded, explainable results with your business context, all within Snowflake’s native app. Learn more here: relational.ai/post/relationa… #SnowflakeIntelligence #DecisionIntelligence #AIDataCloud #SnowflakePartner #EnterpriseAI

“I wanted to solve everything by myself..." - Marco Diciolla, VP of @RelationalAI on why real leadership starts with trust. 🎧 Listen → aifn.co/marco-diciolla… Humans in AI Show | Host: @florlaorga #Leadership #Teamwork #Trust #RelationalAI #ai

Link to more info about our 2025 Snowflake Summit plans: summit.relational.ai

It’s official, Cassie Shum VP at @RelationalAI just delivered the best answer to the final question in our “Three Questions About @Snowflake Summit 2025” series. Three key takeaways from the seven minute conversation with @Alec_Coughlin? 1️⃣ People “don’t think in databases,” they think in concepts found inside knowledge graphs 2️⃣ Instead of looking at your data in the rearview mirror only, RelationalAI + Snowflake enable you to “predict the future” 3️⃣ Think about the “hardest problem” facing your business, bring it to the Snowflake Summit (June 2-5), head to the RelationalAI booth and Cassie will have an answer for you Link below for more info about our Summit plans. Will we see you there?

I'm +1000 here for the Knowledge Graph enabled, data rich Semantic Layer. IYKYK.

Wrapping up the semester @CMUDB with an insightful 10-minute flash talk by Wim Mertens from @RelationalAI explaining how to unify databases and business logic. Thanks @molhamaref for your support. youtu.be/dTuK8vmtC2M

"What happens when 'CIOs on ACID' are asked to 'do AI' and 'make room for AI innovation'?" Siddhartha Bala, VP of GTM at @RelationalAI tackles this question and unpacks the reality of CIO considerations within Financial Services and beyond in a thought-provoking fireside chat with @Alec_Coughlin. During the 9-minute conversation, Sid shares his excitement for the upcoming 2025 @Snowflake Summit along with these 5 key takeaways: 1️⃣ The "CIOs on ACID" framework 💡 How CIOs navigate Application modernization, Cybersecurity, Infrastructure modernization, and Data strategy while simultaneously adding enterprise AI initiatives 2️⃣ The AI project timeline paradox 💡 By the time you complete a 4-month AI POC, enterprise AI capabilities will move beyond where they were when you launched the POC 3️⃣ Commercial focus trumps experimentation 💡 Focus on business priorities that don’t change and value creation rather than AI for AI's sake 4️⃣ Enterprise knowledge graphs function like "building a brain" 💡 Shifting organizations from historical questions ("What happened last quarter?") to predictive insights that drive business value 5️⃣ The semantic layer is the "secret sauce"... Watch the full conversation to hear Sid's complete perspective on accelerating AI adoption in the enterprise. ✅ Will we see you at the Snowflake Summit June 2-5 in San Francisco?

Here is the link to the @KGConference: knowledgegraph.tech

Knowledge Graphs are the missing bridge between symbolic AI and neural AI, unlocking new possibilities that neither approach can achieve alone. In a fireside chat preview of the upcoming presentation by @molhamaref and Jay Yu at KGC, Jay spoke with @Alec_Coughlin and provided a handful of insights connected to the implementation of an eye opening intelligent supply chain solution for @BlueYonder. Highlighting the role of @RelationalAI and a relational knowledge graph approach running natively within @SnowflakeDB that: 1️⃣ Elevates existing data into semantically rich, contextual knowledge graphs 2️⃣ Uses just 1,500 lines of well-documented code 3️⃣ Integrates graph reasoning, mathematical optimization and Generative AI interfaces The explosive growth of Knowledge Graphs isn't surprising as they're a unifying technology and are rapidly becoming foundational to enterprise AI. Don't miss the live demonstration by Jay and Molham at the @KGConference on May 8th at 1pm EST. Watch the full fireside chat and find the KGC link below.

Link to the 14-minute fireside chat: youtu.be/75_mLUjb3UA?si…

Link to the complete, clickable deck: docs.google.com/presentation/d…

The future of enterprise AI isn’t about more data - it’s about making your data make sense. Knowledge graphs embedded into semantic layers are becoming a foundational part of data infrastructure designed to realize the promise of intelligent applications by doing just that. Explore 4 key takeaways from @RelationalAI VP of Product Management John Macintyre's fireside chat with @Alec_Coughlin below. The deck features video clips of John's insights and is supported by research from @SnowflakeDB and @McKinsey. Link to the video of the full 14-minute conversation below along with a link to a complete, clickable version of the deck.

Is your approach to BI becoming obsolete at the speed of enterprise AI? The platform shift from application-centric to data-centric architecture isn’t just another tech trend - it’s redefining how value is created from enterprise data assets. In our latest fireside chat, @RelationalAI VP of Product Management John Macintyre talks with @Alec_Coughlin revealing why knowledge graphs are becoming the foundation of intelligent applications. Key takeaways from the conversation include: 💡 “You can start to apply it to a new set of reasoning capabilities. You can build new types of applications. And so I think that's really the opportunity that people are seeing with bringing knowledge graphs into their data infrastructure.” 💡 “And so how do you bring some of that understanding and how do you bring some of that application logic into a semantic layer?” 💡 “I think that's where this sort of new class of knowledge graph, something that we would call relational knowledge graphs really come into play because they can capture some of these advanced relationships and concepts that exist inside of businesses.” 💡 “But I think the modality of SaaS and the modality of applications is dying and probably will be dead. But that doesn't mean applications are dead.” 💡 “That means that the way that we work together, how we work with agents, sort of what the world of an ensemble of users and agents working together over shared knowledge, shared understanding of a business in the context of the business with a collective set of tools that allow them to reason over business problems and make decisions.” 💡 “And that is what we're moving towards.” Watch the full 14-minute conversation to discover how relational knowledge graphs are becoming the critical infrastructure for AI-powered business intelligence and accelerated value creation.

Link to "Graph Visualization in @SnowflakeDB Notebooks": medium.com/snowflake/grap…

Are you interested in exploring your centralized data from a new perspective using graph-based approaches? Check out the informative and insightful blog post by @SnowflakeDB's Randy Pettus exploring connected data. Randy demonstrates: 1️⃣ How companies can “take graph analytics further with your data stored in Snowflake using the RelationalAI native application” 2️⃣ “One of the benefits of visualizing your data as graphs is that both business users and data scientists can quickly grasp the importance of relationships in solving real-world problems” Link to the blog post below.

Link to "Adopt World Models Today or Fall Behind Tomorrow": thenewstack.io/adopt-world-mo…

After spending 100+ hours reviewing content from one of the most prestigious AI and ML conferences, what are @RelationalAI VP of Research ML Nik Vasiloglou's key takeaways? 💡 Check out “Adopt World Models Today or Fall Behind Tomorrow” in @thenewstack where Nik answers the question above tied to the latest @NeurIPSConf conference including the following quote: “As we move beyond the data limitations of early AI, a new paradigm emerges: powerful, affordable world models enabling agent-based reasoning." "This transformation brings both unprecedented capabilities and new challenges in predictability.” Link below.

Ibrahim Barghouti joined @RelationalAI two months ago…a reunion with CEO @molhamaref "16 years in the making." After graduating from Georgia Tech, Ibrahim's first job was working "with Molham at his previous company" before spending nearly nine years at McKinsey. He has now reunited with Molham after a compelling conversation where Molham explained "this is going to be big and we need your help to kind of scale it." In a 12-minute fireside chat with @Alec_Coughlin, Ibrahim unpacks why he joined RelationalAI, his impressions from his first two months, and his enthusiasm for the future. A conversation personified by the following quotes: "What I learned was it was less about the subject matter, more about the people I worked with…So that's one of the big things that attracted me to RelationalAI." 💡 Highlighting the importance of team culture and the incredible RelationalAI “talent density” in his decision "I love playing that translator role of like, okay, if I'm in between the business and the data scientists, what are they trying to solve and what levers do they have to actually pull to solve it?" 💡 Explaining his passion for bridging technical and business perspectives We’re thrilled to have Ibrahim on the team and if you watch the 12 minute fireside chat below, you’ll understand exactly why!

Link to "RelationalAI Named 'Data Tech Startup of the Year' in 2025 Data Breakthrough Awards": globenewswire.com/news-release/2…

We’re honored to be named the “‘Data Tech Startup of the Year” in the 6th annual Data Breakthrough Awards. Selected from a program that received over 3,000 nominations, we’re grateful for the recognition of our accomplishments and vision. “‘@RelationalAI being named a Data Breakthrough Award winner is a testament to the incredible work our team has accomplished in driving a new approach to AI-driven reasoning, data management and analytics,’ said @molhamaref, CEO of RelationalAI.” “‘As organizations navigate an increasingly complex data landscape, we remain committed to delivering on our vision of making AI more accessible to the enterprise and empowering business users to gain deeper insights and drive smarter decisions.” “This is just the beginning, and we look forward to the continued growth and impact of RelationalAI in the years ahead." Learn more via the link below.