Infinitive

Modernizing analytics does not have to take months to deliver impact.    Infinitive recently partnered with a leading investment management organization to transform its analytics environment using Databricks on Microsoft Azure. In just 6 weeks, we delivered what most teams assume takes quarters.    What we built:  - Migrated key SQL Server datasets into a scalable lakehouse architecture  - Built a high-performance Gold Layer for governed, curated data  - Deployed Databricks Genie with AI/BI dashboards to enable natural-language access to data…no SQL required    The results were immediate and measurable:  - Query performance improved by 90%  - Analysts gained true self-service insight generation  - Faster, more intuitive dashboards increased confidence in data-driven decisions    This engagement is a clear example of what the Magic Lamp & Genie Factory is designed to deliver, not a proof of concept that sits in a sandbox, but a production-grade foundation that changes how an organization uses its data. And we do it at scale and speed.    The right lakehouse foundation paired with AI/BI Genie means your business users aren't waiting on analysts. They're asking questions. Getting answers. In plain English. Against their own governed data.    If you're exploring how to unlock AI/BI value within your organization, this is the model. Let's connect 👉 https://infinitive.com/ #DatabricksGenie #AIAnalytics #DataIntelligence #MagicLamp #GeniePOV #SelfServiceAnalytics #Databricks #BrickBuilder #FinancialServices #GovTech

We're heading to San Francisco! 🌉 Our team will be at the Databricks Data + AI Summit from June 15–18, and we couldn't be more excited to be part of one of the biggest events in data and AI this year. We'll be on the ground all week — learning, connecting, and soaking in everything Summit has to offer. If you're attending, we'd love to meet you. Drop us a message or reach out directly! See you in SF! 👋 Bjorn Hildahl Brad Bridges Brian Gomolka Denis McFarlane Jackson Brown Jeff Theobald Justin Striano #DataAndAISummit #Databricks #DataAI #SanFrancisco #DatabricksPartner #BrickBuilder

The BI dashboard is not dying. But it's no longer the destination.    Every major analyst firm is saying the same thing: 2026 is the year conversational analytics moves from pilot to enterprise standard. The organizations that spent 2025 modernizing their data infrastructure are now asking — okay, who actually uses it?    A few things stand out from what we're seeing in the market:    👉 Enterprise spending on BI and analytics tools hit $28.1 billion in 2025, growing 14.2% year-over-year — driven by one expectation: answers, not reports.  👉 Organizations are planning to triple workforce access to AI-driven BI by 2026. That's not a niche use case. That's an enterprise-wide shift.  👉 88% of organizations are already using AI in at least one business function — and analytics is consistently in the top three.    But here's what the numbers don't show: most organizations are still one Genie Space configuration away from making this real for their users.    That is the last mile of analytics, and we help you close the gap between having Databricks and having conversational analytics at scale, which is exactly what the Magic Lamp PoV and Genie Factory Framework are built to close.    Genie Spaces aren't just a feature. They're a new interface layer between your data and your entire organization. When they're built right:  ✔️ Business users stop waiting for analysts  ✔️ Executives ask follow-up questions in real time  ✔️ Compliance teams query policy data the same way they'd ask a colleague  ✔️ Your data platform investment finally reaches the people who need it most    We wrote about this in depth — what's driving the shift, what makes Genie Spaces different from prior NL-to-BI attempts, and how to get there without a 6-month implementation.    Read it here → https://lnkd.in/dPNHd6R3   If you're already on Databricks and wondering whether your org is ready for this — that's exactly what we help you figure out.    #ConversationalAnalytics #DatabricksGenie #AIAnalytics #MagicLamp #DataIntelligence #Databricks #AIBI #BITrends #GeniePOV #BrickBuilder

Sometimes wishes come true, especially if your wish is to talk to your data. Introducing Infinitive’s Magic Lamp and Genie Factory framework, a repeatable, accelerated path to proving business value with Databricks AI/BI Genie Spaces and escaping AI PoC purgatory.    Here’s what we kept hearing from customers:    1. Organizations have data…a lot of data. It’s often siloed or gatekept or both, and the dashboards users need almost always are missing something. This means business users wait for answers to simple questions or modifications, or they are stuck in ticket queues, chasing analysts and waiting for approvals, or creating Frankenstein spreadsheets and exposing sensitive data to unauthorized LLM’s.  2. AI PoC’s aren’t converting into production, they stagnate or fail to deliver measurable impact due to poor use case selection, internal bandwidth, priorities and length of time to value.   That's what the Magic Lamp and Genie Factory is built for.    In focused, time-boxed engagements, in 6 weeks we:  - Identify quantifiably viable use cases that hit YOUR RoI thresholds and requirements & configure Genie Spaces scoped to your 3 highest-value use cases. - Build the semantic layer YOUR business users actually speak and business logic to match based on business personas. - Provides full impact report against success criteria & RoI thresholds and mobilize into a fully operational state incorporating full TCO (Databricks consumption, forecasted utilization based on adoption plan, and on-going maintenance and administration).   The result: prioritized use case for conversational analytics tied to quantified business value (not hypothesis) … actual results and a foundation to build and scale from into a fully operational state.    We're running these engagements now across all industries…    If you're already on Databricks and want to see what your data can do in a conversation — let's talk 👉 https://lnkd.in/exvJUMin   #DatabricksGenie #DatabricksAI #AIAnalytics #DataIntelligence #MagicLamp #GeniePOV #ConversationalAnalytics #Databricks #BrickBuilder

Policy management isn’t just a governance exercise, it’s a risk, cost, and operational challenge that hits highly regulated industries like Financial Services harder than most others. Here’s what we’re seeing and how automated policy lifecycle management is changing the game: Financial Services (FSI) 🏦 Banks, insurers, and capital markets firms are juggling overlapping regulatory frameworks (FFIEC, SEC, FINRA, ISO 27001, NIST CSF 2.0). The result?  • Duplicate or conflicting policies across business units  • Heavy audit prep cycles pulling SMEs away from revenue-critical work  • Increased risk of findings tied to outdated controls Where Infinitive's Poli-Seeker delivers:  → Maps policies across multiple frameworks simultaneously  → Identifies gaps and overlaps before audits  → Auto-generates remediation language with traceable citations  → Flags policy ownership and lifecycle risks Impact: Faster audits, fewer findings, and compliance teams focused on risk, not paperwork. Built on Databricks, Poli-Seeker brings multi-agent orchestration to the full policy lifecycle—turning compliance into a continuous, evidence-based process. ⚙️ #FinancialServices #GRC #PolicyManagement #DataAndAI #AIinFinance #Databricks

Two weeks ago, we had the opportunity to bring together an incredible group of women in Data + AI for an exclusive premiere event for The Devil Wears Prada 2, in partnership with Databricks. It was a wonderful evening filled with meaningful conversations, new connections, and the chance to celebrate the women leading innovation across our industry. At Infinitive, we value creating spaces that bring people together, foster collaboration, and support the growing community of women in Data + AI. Thank you to everyone who helped make this event possible and to everyone who joined us that evening for a memorable experience. We’re glad to bring people together in Data + AI to connect, exchange ideas, and build relationships. Here's to more moments like this! #WomeninDataAndAI #DataAndAI #WomenInTech #Databricks #DevilWearsPrada2

Most compliance tools give you a dashboard. Poli-Seeker gives you a system that acts. For heavily regulated industries — financial services, healthcare, energy, public sector you can replace the audit spreadsheet with a coordinated team of specialized AI agents where data, action and governance are delivered on one platform Databricks: Knowledge Agent — identifies policy owners and maps accountability across the org Date Awareness Agent — runs precision 6/9/12-month escalation cadences so nothing expires unnoticed Volume Access Agents — cross-reference policies against NIST RMF, CSF 2.0, FFIEC, and ISO 27001/27002 loaded into Unity Catalog volumes AI/BI Genie — delivers framework-aligned remediation drafts in seconds, with citations AgentBricks keeps model choice flexible as AI innovation accelerates. MLflow tracing keeps agent quality measurable in production. Unity Catalog makes every output auditable — which is what examiners actually want to see. The full blog covers the ROI math behind the 65% cost reduction, the four-phase deployment model, and what the escalation cadence looks like end to end. It is worth reading for any compliance, risk, or data leader whose team is still letting spreadsheets drive the audit calendar. https://lnkd.in/eKiYhSbG #Databricks #PoliSeeker #AI #Banking #Insurance #Healthcare #PublicSector #Energy 

A policy quietly hit its 6-month expiry. The owner had changed roles two months earlier. The supervisor assumed someone else was tracking it.    Nobody was, and the auditor found it first.   Reactive remediation costs 3x what prevention would have cost. And this scenario plays out at nearly every large, regulated organization, not because teams aren't trying, but because manual processes can't scale to the volume of policies modern compliance requires.   Poli-Seeker's Date Awareness Agent, built on Databricks, runs a tiered escalation cadence: → 6 months out: policy owner notified → 3 months out: escalation to owner + supervisor → 1 month out from expiration: owner, supervisor, and department head. Each alert arrives with a framework-aligned remediation draft already prepared, complete with citations to the governing standard.   Accountability and action land together. Not weeks apart.   Every escalation, draft, and agent decision is logged through Unity Catalog — so when an auditor asks how a conclusion was reached, there's a complete lineage from output back to source. That's not something you can bolt onto a legacy GRC tool.   Organizations running this are cutting lifecycle notification costs by 75% and eliminating the expired-policy findings that drive most audit cycles.    Want to dive deeper on your organizations policy management processes? https://lnkd.in/eGSk5RaU   #Databricks #PoliSeeker #AI #Banking #Insurance #Healthcare #PublicSector #Energy

Policy sprawl is a silent budget drain. For regulated enterprises, it costs $750K–$1.15M annually, not in fines, but in the manual effort of audit prep, expired lifecycles, and chasing multi-framework alignment across standards like NIST CSF 2.0, FFIEC, and ISO 27001.    65% of cybersecurity audit findings trace back to outdated or incomplete policies. One major finding can trigger penalties in the millions.    Infinitive’s Poli-Seeker framework was built on Databricks to solve for this.    Multi-agent orchestration automates the full policy lifecycle:  identifying owners, scoring gaps against frameworks, drafting remediation language with citations, and escalating expiring policies before auditors find them all on one platform: - Databricks Apps (UI)  - Lakebase (App Transactional Data Layer)  - Agent Bricks (Agents)  - AI/BI Genie (Analytics)  - Unity Catalog (Governance)    The results from early deployments:     ↓ 65% reduction in compliance operating costs   → Time to Value 4 months  → 2 compliance FTEs redeployed to strategic risk work    This is what continuous, evidence-based compliance looks like: https://lnkd.in/eGSk5RaU   #Databricks #PoliSeeker #AI #Banking #Insurance #Healthcare #PublicSector #Energy 

Just 4 days away, this is an exclusive event you won’t want to miss! Join Infinitive and Databricks for an early premiere of The Devil Wears Prada 2 for Women in Data + AI. Enjoy an exclusive evening of drinks, food, a few surprises, and meaningful conversations with fellow innovators and leaders shaping the future of women in data and AI. Space is limited. Secure your spot and register now: https://lnkd.in/djzWn58R #WomenInDataandAI #DataAndAI #WiT #Databricks #DevilWearsPrada2