Ataccama announces FWRD 2026: Leaders reflect on building trusted data foundations for AI and share 2027 predictions. Data leaders from Lennar, Lloyds Banking Group, iA Financial Group, Mondelēz International, Snowflake, Deloitte and ServiceNow will share how they built trust in data to enable AI this year and how they're preparing for what's next. November 03, 2026 09:00 ET | Source: Ataccama BOSTON, Nov. 03, 2026 (GLOBE NEWSWIRE) - Ataccama, the data trust company, today announced the speakers and agenda for FWRD 2026, its flagship virtual event for data and AI leaders. Taking place Nov. 5 at 10 a.m. ET, the event is comprised of two parts: a look back at the shifts in data quality, agentic data management and governed context that shaped trusted AI in 2026, and then a look ahead to what 2027 will ask of data and AI teams. In 2026, organizations moved AI agents into real business workflows, often faster than they could prepare the data behind them. Yet 67% of data leaders say they don't fully trust the data in their own organization, even as they are asked to deliver trusted data foundations for AI-first operations. FWRD 2026 is built for the leaders working through that tension between AI ambition and the trustworthiness of the data that fuels it. At the center of the event are the data leaders who put AI into production this year. Speakers from Lennar, Lloyds Banking Group and iA Financial Group will share how they built trust in the data behind their AI, empowering business adoption of AI at scale. A panel of leaders from Mondelēz International, Snowflake, Deloitte and ServiceNow will offer their predictions for what 2027 will demand of data teams. Rewind: How data leaders built trust in 2026 Ataccama CEO Martin Zahumensky will open FWRD with a look at the challenges that broader AI adoption brought this year, from rising regulatory exposure under the EU AI Act to modernization projects that stalled because data was moved to new platforms before it was fixed. Customer speakers will then share how they steered their organizations through those shifts: * Isaac Gabay, VP of Data & AI at Lennar, will share Lennar's AI platform journey, including how his team builds trust in the AI agents it runs in production. * Jo Riseborough, Group Data Management and Data Culture Director at Lloyds Banking Group, will describe how Lloyds approached data modernization, grounded in her belief that AI's success depends on the data discipline behind it. * Chantale Boulanger and Nickolaos Mikedis of iA Financial Group will explain how they built a master data management (MDM) foundation and a 360-degree client view that gave teams one shared picture of each customer, and how this creates a differentiator for their business in the AI era. Live demos of Ataccama ONE will show how teams apply data quality checks and anomaly detection at the source, before data reaches the warehouse, and how they ground AI agents in quantified quality scores and governed context through Ataccama's Model Context Protocol (MCP) server. For teams facing regulatory pressure, demos will also cover a new headless MDM experience built to serve golden records into agentic workflows, along with augmented lineage for SAP environments that supports audit traceability. Fast FWRD: Predictions shaping 2027 The second half of the event turns to the year ahead. Peter Stojanovic, editor of HotTopics and a regular interviewer of FTSE 100 and Fortune 500 executives, will moderate a panel on predictions for 2027 with: * Camilla Björkqvist, Senior Director, Global Data Governance and Transformation, Mondelēz International * Chris Child, Vice president, Product management, Snowflake * Donovan Spronk, Partner, Ecosystem and Alliance leader, Deloitte * Juan Sequeda, Principal Data Strategist and Researcher, ServiceNow * Jay Limburn, President, Ataccama The panel will explore how data management and AI teams will partner with the business on AI use cases, and why trust, context and semantic layers will matter more next year. Panelists will also discuss how AI will change the way data issues are detected and fixed, where AI governance and regulation are headed, and what data leaders should prioritize going into 2027. Jessie Smith, Ataccama's Chief Product Officer, will then connect those predictions to the 2027 Ataccama product roadmap. Her session will preview how Ataccama is extending data trust from the data AI agents consume to the answers they produce, and how headless capabilities across the platform, including MDM, will help AI tools work with trusted data and shorten time to value. "Two out of three data leaders don't fully trust the data in their own organization, and AI is raising the stakes," said Martin Zahumensky, CEO of Ataccama. "When agents act on inaccurate or incomplete data, and on each other's output, a single error can quickly impact automation at scale. Most AI investment goes to models and applications, but that stack is unsafe for AI to use until the data underneath it can be trusted. At FWRD, data leaders will hear how their peers built that trust layer this year and what to prioritize as they head into 2027." About Ataccama Ataccama provides the only end-to-end agentic data trust platform that helps organizations accelerate AI, reduce risk, and modernize data at enterprise scale. Ataccama ONE sits between enterprise data and AI orchestration, ensuring trusted data powers every model, agent, and business decision. The platform unifies data quality, observability, catalog, lineage, reference data management, and master data management in a single solution, while the embedded ONE AI Agent acts as a digital data steward that automates repetitive data management work. Recognized as a Leader in the 2026 Gartner(R) Magic Quadrant(TM) for Augmented Data Quality Solutions, the 2026 Forrester Wave(TM) for Data Quality Solutions, and the 2025 Gartner(R) Magic Quadrant(TM) for Data and Analytics Governance, Ataccama helps the world's leading enterprises trust their data so they can accelerate AI. Learn more at www.ataccama.com. Media contact JoEllen Koester [email protected]

Ataccama launches headless MDM to bring trusted golden records and data stewardship work into agentic workflows. October 28, 2026 4 min. read Headless MDM helps enterprises to deploy critical AI agents in production using trustworthy master data and to scale routine MDM maintenance with supervised automation instead of manual stewardship work. Boston, Mass. - October 28, 2026 - Ataccama, the data trust company, today announced headless master data management (MDM) in Ataccama ONE MDM 17.2. Headless MDM enables AI agents and business applications to work with master data directly, through Ataccama's MDM MCP server or its REST API. The work happens where teams already operate: in AI agents such as Claude Code and Codex and in the business workflows that call MDM directly. Because the MDM MCP server reads and writes back, agents can both bring trusted golden records into business processes and take on stewardship work. Ataccama's 17.2 release also introduces a new user interface reflecting operations done in a headless fashion. This enables automated headless agentic processes to assign a task for a human data steward to approve, all while maintaining full auditability. According to the Gartner(R) report How Master Data Management Boosts the Context Layer for AI Agents, embedding master data management in the context layer helps build a trusted foundation for AI agents. A customer onboarding agent that cannot tell whether a customer already exists may create a duplicate Customer record, or worse, miss next best offers for that customer preventing organic growth. Keeping those records accurate still means stewards reviewing matching proposals one by one, a queue that grows with data volumes and agent use. Headless MDM addresses both sides of that problem. Business process agents can query golden records when they need them, for example to check whether a customer already exists before onboarding begins. Stewardship agents can take on repetitive review work; through the MDM MCP server, an agent can access records, metadata, tasks, matching proposals and matching rules, then propose a resolution and route it to the right person. Teams decide how far automation goes. An agent's work can stay as a draft, be routed to an approver or supervisor, or be published. "With about a dozen source systems behind our golden record, from legacy on-premises platforms to modern cloud applications, Ataccama MDM processes many events a day and pushes trusted records to our consumers in real time, ensuring smooth analytical and operational work. The MDM MCP server is what excites us next. Agents that help with matching and automate low-level stewardship tasks will give our data stewards new efficiencies as we expand our Data Trust Hub across iA," said Nickolaos Mikedis, Leader, Strategy and Data Trust, Global Customer Experience, iA Financial Group. Headless MDM reflects Ataccama's broader goal of making the data trust layer directly usable by the agents and tools enterprises choose. What's new in Ataccama ONE MDM 17.2. * Golden records in agentic workflows. Agents and external workflows can read MDM data, metadata and the data model through the MDM MCP server, so a business process can check the golden record before it acts. * Agent-assisted stewardship. With MCP write-back, agents can triage matching proposals in bulk, merge records on request, and create tasks that wait for a supervisor's approval. Teams choose whether an agent's work stays a draft, goes to an approver, or is automatically published. * Matching logic an agent can explain. The MDM MCP server can retrieve and interpret matching rules and cleansing codes, so a reviewer can ask an agent why two records were proposed as a match before deciding. * Expanded REST API. The MDM REST API now covers a broader set of MDM functions, giving teams a second route to headless MDM alongside MCP. * New MDM user interface. The new interface gives data stewards a simpler data mastering experience on a modern technology stack, so new capabilities reach customers faster. "For years, MDM did its most important work behind a screen, with stewards reviewing uncertain matches by hand. That model does not keep up when AI agents need golden records at the moment they act, and it breaks entirely when agents start handing work to other agents. Headless MDM puts trusted master data where those decisions happen and lets agents take on repetitive stewardship work, while people stay in control of the calls that need human judgment. The payoff is that agents can be trusted with more consequential work, because they are all acting on the same record," said Jessie Smith, Chief Product Officer, Ataccama. See headless MDM at Ataccama FWRD. [1] Gartner, How Master Data Management Boosts the Context Layer for AI Agents, Stephen Kennedy, 17 June 2026. GARTNER is a trademark of Gartner, Inc. and/or its affiliates. About Ataccama Ataccama provides the only end-to-end agentic data trust platform that helps organizations accelerate AI, reduce risk, and modernize data at enterprise scale. Ataccama ONE sits between enterprise data and AI orchestration, ensuring trusted data powers every model, agent, and business decision. The platform unifies data quality, observability, catalog, lineage, reference data management, and master data management in a single solution, while the embedded ONE AI Agent acts as a digital data steward that automates repetitive data management work. Ataccama helps the world's leading enterprises trust their data so they can accelerate AI. Learn more at www.ataccama.com. Media contact JoEllen Koester [email protected] Date 28.10.2026