AI Analytics Insights

A collection of insights, stories, and lessons on how AI and data are reshaping the way modern organizations build, decide, and operate.

February 20, 2026

How SurveyMonkey Is Scaling AI - Without Compromising Trust

SurveyMonkey is scaling AI across the enterprise - without compromising trust. See how they partnered with Solid to standardize business logic, improve AI accuracy, and move from experimentation to production with confidence.

Blog
August 6, 2026

The Hidden Cost Problem in AI Analytics

AI is making analytics more accessible, but it's also changing the economics of how organizations consume data. This article explores the hidden costs of AI-driven analytics, why not every question should be answered by AI, and how data leaders can build a more efficient analytics strategy.

Blog
July 23, 2026

Semantic Layer vs Enterprise Semantic Layer: Why Data Leaders Are Asking a Different Question

As AI adoption grows, data leaders are realizing that traditional semantic layers are no longer enough. This article explores the difference between warehouse-centric semantic layers and enterprise semantic layers, and why connected business context across systems is becoming essential for trusted AI and analytics.

Blog
July 17, 2026

What Happens to Your 40,000 Reports?

Organizations accumulate thousands of reports over time, but very few still deliver real business value. This article explores why AI is giving data leaders an opportunity to rethink reporting strategies, identify which reports to keep, consolidate, retire, or reimagine, and build a more efficient analytics environment for the future.

Blog
July 15, 2026

What Is Semantic Modeling? Why It Matters for Analytics and AI

Discover why semantic modeling has become the foundation for trusted analytics and AI. Learn how shared business context eliminates metric drift, improves AI accuracy, and enables organizations to scale AI with confidence.

Blog
July 9, 2026

AI Can't Wait for Your Data Migration

Enterprise data migrations often take years, but business demand for AI can't wait. Learn why leading organizations are enabling AI during migration - not after it - and how building a trusted semantic foundation allows them to deliver value across both legacy and modern data environments.

Blog
July 3, 2026

The missing data layer behind effective brand marketing

As AI makes creative production faster and cheaper, Lindsay King explains why the real marketing bottleneck is shifting from making more content to knowing what will actually work.

Blog
June 17, 2026

Why AI fails when it ignores the workflow

Preeti Vaidya of Morgan Health on why useful AI starts with workflows, not chatbots, and what healthcare can teach enterprise teams about adoption.

Blog
June 10, 2026

What Snowflake, Anthropic and Salesforce got right, and wrong, about semantics

Semantic layers, especially auto-generated ones, are becoming the foundation for AI in the enterprise, and now everyone sees it.

Blog
June 5, 2026

Test Driven Semantic Models: the missing piece for AI analytics

Semantic models are being built backwards by people, and that's bad. Let's learn from software engineering and start from the tests.

Blog
May 27, 2026

Building AI in a Regulated Enterprise: Lessons from UBS Wealth Management - Nondas Virvikatis

Yoni, our CEO & Co-Founder, recently sat down with Nondas Virvikatis, who leads product managers building AI capabilities for financial advisors at UBS Wealth Management Americas.

Blog
May 13, 2026

From Universes to Agents: A Brief History of the Semantic Layer

Semantic Layers are all the rage... again... where did they come from, and why is this time different?

Blog
May 8, 2026

I asked ChatGPT why companies come to Solid. Here’s what it found

A qualitative analysis of our last two months of customer and prospect conversations shows a clear shift: enterprises are no longer asking whether AI can help with data. They want to know HOW to do it

Blog
April 24, 2026

The Rise of the Expert SLM: Achieving GPT Performance with Specialized Open-Source Models

Smaller models are gaining attention, and can be very useful in specific tasks (especially considering time/cost/accuracy tradeoffs vs LLMs). Tomer Sidi, PhD, GenAI Researcher at Solid, explains.

Report
April 20, 2026

The Hidden Layer Blocking Enterprise AI

Everyone is investing in AI, but few are seeing real results. The reason lies in a hidden gap most teams overlook. Discover the missing layer preventing AI from working at scale.

Blog
April 18, 2026

Text2SQL vs. Semantic Layer? The real question is who does the modeling

dbt’s recent benchmark gets an important point right: this is not an either/or debate. But for enterprise teams, the real bottleneck is the work needed to generate, test and maintain semantic models.

Blog
April 15, 2026

From Co-pilots to Colleagues: What Ryan Wexler Sees Coming in Enterprise AI

Ryan Wexler, Principal at SignalFire and a member of Solid’s board, shares what enterprises are actually buying today, why ROI is still hard to prove, and what he sees the future of agents to be

Blog
April 1, 2026

AI-native engineering for high-stakes work: Lessons from Thomson Reuters’ Rittika Jindal

Yoni and Rittika Jindal of Thomson Reuters met to talk about building reliable AI in high-stakes domains, and how AI-native engineering is changing what software teams actually do.

Blog
March 27, 2026

Why Enterprise AI Struggles with Data, and What Leaders Should Do About It

On March 25, I hosted a webinar with Meenal Iyer and Solomon Kahn on where enterprise AI breaks down, what actually works, and how data leaders should think about trust, context, and business impact.

Blog
March 18, 2026

Your data agents need context. But context is not enough

Jason Cui and Jennifer Li from a16z are absolutely right to put context at the center of AI for data. Yoni Leitersdorf, Solid’s CEO & Co-Founder, shares Solid's perspective on the matter.

Blog
March 15, 2026

Agentic analytics, for real: how Solid is already doing what Gartner describes

Gartner’s Market Guide for Agentic Analytics sounds like a roadmap for the future of data and AI. For our customers, it is mostly a description of what they are already doing today.

Webinar
March 12, 2026

Why Enterprise AI Still Struggles With Business Data

AI can only deliver value if it understands enterprise data. Join our webinar to learn why inconsistent definitions and fragmented business logic create problems for AI - and why many organizations are still struggling to make AI reliable.

Blog
March 11, 2026

"Chat with your data" is NOT what you should be aiming for

Everyone wants a chat with their data - allow non-technical users to interact with it. That's wrong; the real value shows up when AI stops just answering questions and starts doing the actual work.

Blog
March 4, 2026

It’s not AI. It’s transformation enabled through AI.

In our Season 2 kickoff of Building with AI: Promises and Heartbreaks, Todd James (ex-Fidelity, ex-Kroger/84.51°, now Aurora Insights) shares what it really takes to scale analytics & get real EBIDTA

Blog
February 25, 2026

How We Built a Coding Agent That Lets Anyone on the Team Ship Frontend Changes

AI allows Solid to reliably scale its front-end development (the interface users actually see), without compromising on quality, while letting non-coders make real changes. Ben of Solid, shares how.

Case Study
February 20, 2026

How SurveyMonkey Is Scaling AI - Without Compromising Trust

SurveyMonkey is scaling AI across the enterprise - without compromising trust. See how they partnered with Solid to standardize business logic, improve AI accuracy, and move from experimentation to production with confidence.

Blog
February 19, 2026

Solid Launches to Fix the Biggest Problem Holding Enterprise AI

Solid publicly launches to help enterprises make AI reliable at scale. Alongside a $20M funding round, Solid gives AI a trusted, continuously updated understanding of business data - enabling accurate answers, scalable workflows, and AI systems that can move from pilots into real production.

Blog
February 11, 2026

The Complexity Paradox: Why AI is Creating More Work, Not Less

The bots are here to take our jobs? Tal Segalov, Solid's CTO & Co-Founder, thinks otherwise.

Blog
February 4, 2026

Overhyped and Underestimated: Cutting Through the AI Noise with Glen McCracken

Yoni sat down with Glen McCracken, CPTO at Lantum, to talk about separating AI hype from reality, creating “pull” for AI from the front lines, and why the hardest AI problems are rarely technical.

Blog
January 29, 2026

The Death of the Generic App: How Vibe Coding is Flipping the Enterprise Script

With English becoming the new programming language, Tal shares lessons on how to make vibe-coding actually work for enterprises.

Blog
January 25, 2026

Automating the Design System: The End of the Manual Handoff

In this post, Reut Leibovich Blat, Solid’s Senior Product Designer, demonstrates how to eliminate the manual handoff between our Product Designers and Front-end Engineers.

Blog
January 21, 2026

From Black Box to Glass Box: the only sane way to run AI on your data

Most “chat with your data” and agent+data tools are Black Boxes: they hide how they use your warehouse, how they analyze results, and why they take certain actions. At Solid, we believe that's bonkers

Blog
January 14, 2026

2026: From Co-pilots to Colleagues – Hiring Your First Digital Employee

For the last few years, we’ve been living in the era of the LLM.

Blog
January 7, 2026

Semantic Engineering: the new discipline behind trustworthy enterprise AI

2026 will be the year data and business analysts become semantic engineers

Blog
December 28, 2025

Human Plus AI Analyst: Defying Gravity

Can an AI Agent handle a messy schema and a live Snowflake connection, or will it crash and burn? We test Google Antigravity against the ultimate stress test: An urgent executive request.

Blog
December 21, 2025

Human Analyst vs. AI Analyst

An honest, hands-on comparison of Tableau Public, Gemini + Colab, Julius AI, and Cursor for a real-world data analysis task.

Blog
December 19, 2025

From Spaghetti to Digital Companions: How HiBob’s Reut Einav Rebuilt Data for the AI Era

Yoni, our CEO, sat down with HiBob’s VP of Data, Reut Einav, to talk about migrating an entire data foundation in six months, empowering 2,000 people to build GPTs, and why “No AI can fix bad data."

Blog
December 10, 2025

The Agentic Event Horizon: 4 Trends Defining Data in 2026

Tal Segalov, Solid's CTO & Co-Founder, discusses the trends he predicts for 2026, coming from Solid's work with leading enterprises all over the world.

Blog
December 3, 2025

Onboarding Your AI: how to roll out learning software like Solid in the real world

Rolling out AI that learns your data is less about switching on features and more about teaching a new teammate, together.

Blog
November 26, 2025

AI as an Operating System for High-Stakes Work: Lessons from Thomson Reuters’ CTO, Joel Hron

Yoni, our CEO & Co-Founder, sat down with Joel Hron, CTO at Thomson Reuters, to talk about agents as an operating system, how to evaluate AI in high-stakes legal and tax workflows, and much more

Blog
November 19, 2025

Layers of Data Structure: Usage is the New Schema

In this post, Tal Segalov, Solid's CTO & Co-Founder, takes us through a challenge in modern data - the lack of a rigid schema for AI to learn off of.

Blog
November 12, 2025

Product Discovery in a Startup’s Early Stages

With many years of product leadership under her belt, Tali took on the product discovery in full force when she joined in August 2024. Today, she shares valuable lessons on how to do this well.

Blog
November 5, 2025

The day AI stopped being magic and started doing work, with Ilan Frank

A studio conversation with Checkr’s Ilan Frank about starting from pain, earning trust, and why adding AI led to hiring more people

Blog
October 29, 2025

Enterprises are now focused on building one interface to rule the employee experience

Over recent months, Yoni noticed a trend occurring: more and more enterprises are thinking about building a single interface for anything an employee needs. Today we unpack how that looks like.

Blog
October 22, 2025

The day agents got opinionated

Yoni Leitersdorf recently hosted Tomasz Tunguz on his podcast, to discuss building real agent systems, why “unified tools” beat tiny ones, and the investment theses emerging from the friction

Blog
October 15, 2025

End-to-end: generating semantic models for Snowflake Cortex Analyst/Intelligence in two weeks

We often get asked how an end-to-end flow would look like for the generation of semantic models through Solid. In this post, we'll take you through that process.

Blog
October 8, 2025

Building an AI-powered Intelligent Enterprise: How a Data Leader Steers Her Team Through the AI Journey - Meenal Iyer

Yoni, our CEO & Co-Founder, recently sat down with Meenal Iyer, VP of Data at SurveyMonkey, to discuss her team's AI journey. The conversation was enlightening - covering the journey through '23-'26.

Blog
October 1, 2025

The Ghost in the Machine: How Solid drastically accelerates semantic model generation

The typical midsize enterprise has over 100 semantic models, some distinct some partially overlapping. Documenting those by hand is a fool's errand. Tal, Solid's CTO & Co-Founder, shares our solution.

Blog
September 24, 2025

Stop saying "Garbage In, Garbage Out", no one cares

We recently ran a small poll on LinkedIn asking people what are the main blockers for GenAI for analytics - looks like there are many - but still, no one in the business cares

Blog
September 17, 2025

AI for AI: how to make "chat with your data" attainable within 2025

Since June 2025, Snowflake and Databricks customers across the globe are considering "AI-driven self-service analytics" to be a top priority. There's a ton of excitement, but also hurdles.

Blog
September 10, 2025

The Two Souls of a Semantic Layer: A Tale of Governance and Insight

Semantic layers are in vogue again, but this time for a different reason. Tal Segalov, Solid's CTO and Co-Founder, explains the relationship between the new semantic layer and the old one.

Blog
August 27, 2025

Behind the scenes: how we think about semantic model generation

Our feature specs generally have a back-story - an explanation of why we want to build this feature, right now. Tali, our VP of Product, shares the back-story we've used recently for one such case.

Blog
August 20, 2025

Nearly 100% error rate: our first major outage

Alon Ashkenazi, Solid's VP of Engineering, takes us through Solid's first major outage.

Blog
August 13, 2025

When users don't chat with your chat: solutions to help AI help people (Part One)

Maya and Oren, Solid's VP of Research and Senior Data Scientist, take us through what Solid does to help users give it the information it needs to help the user be more successful.

Blog
August 6, 2025

Your Data's Diary: Why AI Needs to Read It

Tal Segalov, Solid's Co-Founder and CTO, shares insights on how to leverage AI to help make the vision of "AI for Analytics" a reality. This post includes the why, and how, of doing this.

Blog
July 30, 2025

We found Urgency... or maybe, it found us?

The last few months something material has changed in our traction - we found the urgency every startup seeks. The spark that starts the fire. You can FEEL it.

Blog
July 23, 2025

GenAI is consistently inconsistent, but is that a problem?

Until GenAI came around, we were all used to determinism in our interaction with computers. Same input, same output. Not with GenAI. Those building apps around GenAI need to deal with it.

Blog
July 16, 2025

"Sorry for the mess" - everyone's data is messy, and it's Okay

Our CEO & Co-Founder goes into why everyone's data is (partially) a mess, and no one has good documentation, and still AI can make sense of it

Blog
July 9, 2025

How Solid keeps a close eye on its AI, with LangSmith

Last week, we shared details of our move to an Agentic Platform. Today, we're sharing how we're using LangSmith to continuously improve its performance via deep observability.

Blog
July 2, 2025

Solid's Leap to an Agentic Platform: Unlocking New AI Capabilities

Solid recently made the switch to an Agentic Platform and the company's VP of Research and VP of Engineering share why and how.

Blog
June 25, 2025

What’s Top of Mind for Data Teams and Business Leaders: Lessons from Snowflake Summit 2025

Tali Hirsh, Solid's VP of Product, recently attended the Snowflake Summit in San Francisco. It was quite eye-opening.

Blog
June 18, 2025

Data, Meet Business: Why You Need JIT Semantic Models, Instead of a Static Semantic Layer

Tal Segalov, CTO & Co-Founder at Solid, shares a unique invention which will drastically expand the value of semantic layers.

Blog
June 11, 2025

Free, AI-generated, high accuracy documentation and semantic model of your data assets now available

For a limited time, Solid is offering a free, full documentation of your data warehouse and BI assets. The output can be used by both humans and machines (AI). Yoni, our CEO, shares the details

Blog
June 4, 2025

Throwing away BI is a Bad Idea

With all of the vibe analytics, Text2SQL and AI for Analytics out there, people are thinking that BI's days are numbered. Yoni Leitersdorf, our CEO & Co-Founder, begs to differ.

Blog
May 28, 2025

Testing Solid's chat: how we do evals - part one

With the increase in development of GenAI functionality within SaaS products, the need to do evals has grown in prominence. Maya, our VP of Research, Oren Matar, DS on her team, share how we do it.

Blog
May 21, 2025

Semantic layer for AI: let's not make the same mistakes we did with data catalogs

Most data catalog projects fail. One of the main causes is the need for Data Stewards (humans) to continuously catalog the data. Semantic layers are falling into the same trap.

Blog
May 14, 2025

Everyone wants Text2SQL, but the pros don't trust it

A weird light bulb went off in our minds recently as we've dug into Text2SQL in our customer conversations

Blog
May 7, 2025

Vibe Analytics: the new era of data analysis?

Since February 2025, vibe coding is everywhere. Of course, we focus on data and analytics here, so a natural question comes to mind: is Vibe Analytics the next thing in data?

Blog
April 30, 2025

From Black Box to Best-of-Breed: Our RAG Optimization Journey

As we continue to "break the black box", Tal Segalov, Solid's CTO and Co-Founder, walks us through the improvement on the RAG/search side.

Blog
April 23, 2025

Nobody cares about the efficiency of the data analyst

Sharing the uncomfortable truth about solutions that improve the efficiency of individual contributors.

Blog
April 9, 2025

Autogeneration of a semantic layer - the key for AI/BI

There's a lot of talk about how AI can allow BI-like functionality given a robust semantic layer. That's great, but how do you get to a robust semantic layer?

Blog
April 2, 2025

The curse, and promise, of the white box

Those who were born before 1990, probably remember the first moment they saw the Google Search box. The paradigm shift is upon us again.

Blog
March 26, 2025

Building GOATs: Establishing a Transformative Community for Analysts

Zack Martin leads the GOATs community of analysts. In his debut post on this blog, he shares what drove the creation of the community and its future plans. The community is off to an impressive start!

Blog
March 19, 2025

How the Solid chat works

Maya Bercovitch, Solid's VP of Research, sheds light on the evolution of Solid's chat from a simple Azure implementation to a multi staged complex flow.

Blog
March 12, 2025

(Almost) no AI in production

Last week our team participated in the Gartner D&A Summit in Florida. They came back with many insights - a few of them around the adoption of AI in the enterprise.

Blog
March 5, 2025

Embracing Startups: A Winning Strategy in the Age of AI

Solid's CTO & Co-Founder, Tal Segalov, makes the case for enterprises' embrace of startups to keep up with the breakneck pace of AI innovation.

Blog
February 26, 2025

The right way to set your data & analytics strategy

D&A is here to serve the business... and to be successful, it must align to it. In this post, Yoni, our CEO & Co-Founder, will share insights from a deep conversation with a D&A leader on this matter.

Blog
February 19, 2025

Beyond Efficiency: How AI is Redefining Data Analytics

Putting together human and machine intelligence for better analytics workflows

Blog
February 12, 2025

The five tier-model of organizational data and analytics flow

Across 180+ conversations with D&A leaders and business stakeholders, we've uncovered an interesting model that can help focus the investment in analytics for business benefit

Blog
February 5, 2025

Cracking the Code: How We Built Our Success Formula

Solid's VP of Product, Tali Hirsh, reveals the formula that helped transform Solid's go-to-market strategy into a scalable success story.

Blog
January 29, 2025

Breaking the Black Box: Lessons from Azure AI Services for Chat Implementation

Solid's VP of Research, Maya Bercovitch, shares our experience using Azure's AI services for the first iteration of the Solid platform

Blog
January 22, 2025

Inconsistency: the largest contributor to noise in data analytics

There's an incorrect perception that noise in data analytics is mainly caused by noise in the data... apparently, that's not true. Solid's CTO & Co-Founder, Tal Segalov, explains.

Blog
January 15, 2025

CDAOs: the new cool kids in the enterprise C-suite - Part Two

What can CDAOs learn from CISOs on the journey to C-level stardom

Blog
January 8, 2025

CDAOs: the new cool kids in the enterprise C-suite - Part One

Two decades ago, IT security professionals were overlooked and under appreciated. Today, they’re indispensable leaders in the C-suite. Could Chief Data Officers be next?

Blog
January 1, 2025

Data Chatbots: what people are really doing

The AI craze has caused many to imagine the potential for a data chatbot - allowing business stakeholders to chat with their data without needing an analyst. Let's evaluate its success so far.