D2A2

How do you identify and monetize data assets inside your company – especially in the age of AI? Together with the D2A2 team we compiled a 7-Step Checklist you can use as a roadmap to turn data into monetizable assets: Step 1: Identify high-value data assets Step 2: Select your monetization model Step 3: Package your data into products Step 4: Define a scalable pricing strategy Step 5: Build trust and credibility into the product Step 6: Launch, learn, and iterate with customers Step 7: Scale through channels, ecosystems, and automation If you'd like an in-depth breakdown of these 7 points, check out the preview below and feel free to download the entire PDF here: https://lnkd.in/eFx8iiNT Special thanks to Neudata for contributing insights from their data marketplace and also allowing us to make this report available free of charge.

Excited to kick this week off with a new D2A2 report. Data remains a heavily underutilized resource in many orgs that still see it as just another liability. When instead (+done right), data can be turned into an asset that could even open up new ways to bring in revenue. In our latest report, we cover: - How to transform underused internal data into monetizable data products - The 5C-framework for trusted, scalable, and compliant data ecosystems - A real-world case study how to monetize data in a secure, compliant, and profitable way. Download the full report here: https://lnkd.in/epX-BVx8 Arun Marar, Ph.D. Prashanth H Southekal, PhD, MBA, ICD.D Thanks again for a great collaboration!

Client Success Manager (Remote, Part-Time- About 10 Hours per week) D2A2 is a thought leadership firm that offers independent, relevant, and practical content in Digital, Data, Analytics and AI (#D2A2). We're looking for a Client Success Manager to join our team and help us in strengthening client relationships and supporting our growth initiatives. This part-time, fully remote role is ideal for one who thrives in a high-impact environment and wants the flexibility to work from anywhere in the world. Key Responsibilities: • Build and maintain deep and proactive relationships with clients and partners. • Support new client onboarding and ensure a smooth, high-touch experience across all engagement milestones. • Identify opportunities to drive client satisfaction, retention, and potential upselling. • Provide operational and administrative support for business development (e.g., preparing proposals, tracking invoices/payments, maintaining CRM systems, drive social media engagement, and more). • Collaborate with the D2A2 leadership team to drive operational improvements. What We’re Looking For: • 5+ years of experience in client service and operations. • Outstanding communication, interpersonal, and time-management skills. • Proficiency in LinkedIn, Excel/Google Sheets, and HubSpot. • A self-starter with exceptional attention to detail and a growth-oriented mindset. • Familiarity with data, analytics, digital, and AI tools/technologies. Why Work with D2A2? • Work with World-Class Experts: Collborate directly with the founders of D2A2, who are globally recognized leaders in data, analytics, and AI. • Flexible & Remote: Work from anywhere on your terms. • Purpose-Driven Work: Be part of a company that puts impact over hype and focuses on helping D2A2 leaders in driving meaningful business outcomes. Ready to help shape the future of #D2A2 with us? DM Tobias Zwingmann or Arun Marar, Ph.D. or me. CC: Gary Cokins Steve Rosvold V. "Bala" Balasubramanian, PhD, MBA Ron Powell

Generative AI promises a lot – but delivering real ROI requires more than models and data. In this webinar, industry experts from Siemens, Illumex.ai and D2A2 share practical insights on what actually works when integrating structured data into GenAI systems. We’ll cover: - Common challenges with structured data in GenAI workflows - - How to make structured data more accessible to GenAI - Why traditional data governance often fails with GenAI - How to detect and handle bias in AI models - Whether strong AI governance offers a real edge - Case studies and lessons from real-world deployments Join us for this focused, practical discussion.

How do you drive ROI from GenAI? Total Cost of Ownership (TCO) is more than a buzzword. I'm looking forward to this upcoming D2A2 event where I share the stage with Michael Taylor from SIEMENS, Inna Tokarev Sela from ILLUMEX and Sumi Singh, PhD. from GAIL. We'll cover: - Common challenges with structured data in GenAI workflows - How to make structured data more accessible to GenAI - Why traditional data governance often fails with GenAI - How to detect and handle bias in AI models - Whether strong AI governance offers a real edge - Case studies and lessons from real-world deployments Join us here (free): LinkedIn Live: https://lnkd.in/enQemJ-N Email + Recording: https://lnkd.in/e2RvnZet

Happy Easter everyone! If you need some reading material over the weekend, check out our growing D2A2 library. We got 6 reports online. Here are the links to read them for FREE: 1/ Semantic Agents https://lnkd.in/e8-296YE 2/ Reducing Analytics Compute Costs with Open Table Formats https://d2a2.ai/#otf 3/ D2A2 Insights Report 2025 https://lnkd.in/eA6CSt3S 4/ One Door To Data: A Retail Case Study https://lnkd.in/ezgAJpyC 5/ AI Governance in the Generative AI Age https://lnkd.in/et_ua78e 6/ Leveraging Structured Data for Generative AI https://lnkd.in/eB2ZmA8T Grateful to work in such a great team of authors: Prashanth H Southekal, PhD, MBA, ICD.D, Arun Marar, Ph.D., Sumi Singh, PhD., V. "Bala" Balasubramanian, PhD, MBA Happy reading! Got any questions on a topic covered by these reports? Comment below!

Generative AI is full of promise—but turning that potential into real ROI demands more than just models and data. Join experts from Siemens, Illumex.ai, and D2A2 as they share practical insights on what actually works when integrating structured data into GenAI systems. In this D2A2 Webinar "UNLOCKING AI SUCCESS: ALIGNING TOTAL COST OF OWNERSHIP WITH ROI REALIZATION" moderated by Sumi Singh, PhD., Tobias Zwingmann , Michael Taylor and Inna Tokarev Sela will cover: ✅ The biggest challenges with structured data in GenAI—and how to overcome them ✅ Why traditional data governance often fails in AI-driven environments ✅ How to detect and mitigate bias in AI models ✅ Does strong AI governance offer a competitive edge? ✅ Real-world case studies with actionable takeaways This FREE webinar is a must-attend for Data, Analytics, and AI leaders, professionals, and innovators looking to bridge the gap between AI investment and business impact. Register now and let’s turn AI hype into real business value! Register soon as we have LIMITED spots. Here is the registration link to the webinar https://lnkd.in/g-Q5SFzr #AI #GenAI #DataGovernance #AIROI #AILeadership CC: Steve Rosvold Gary Cokins Alex Greenshpun Arun Marar, Ph.D. V. "Bala" Balasubramanian, PhD, MBA

AI Agents are clearly overhyped, esp. in broad applications. Agents that "do sales" or "run your business" fall short. But in well-defined, high-value niches, AI agents are game-changers. One such area is the semantic layer: What’s a semantic layer? A semantic layer acts as the glue between your (often fragmented and complex) data sources and your (often therefore frustrated) business users who simply want fast, reliable insights. Building a semantic layer from scratch involves mapping data fields across disparate sources. A "customer" might have 12 different definitions depending on which system you ask. This manual mapping process has been extremely time-consuming, and expensive. This is where AI-powered Semantic Agents come in. These intelligent systems make it much easier to build and maintain a semantic layer by reducing the manual effort, cost, and risk involved. I recently collaborated together with Prashanth H Southekal, PhD, MBA, ICD.D and Arun Marar, Ph.D. on a new D2A2 report to explore how Semantic Agents can help organizations break down data silos and accelerate time to insight-driven decision-making. Interested? Check out the report – it's free! Download link in the comments. ⤵️

Download our new release on Semantic Agents here: https://lnkd.in/dcVFtPpY