Latest news with #dataIntegration
CNA
31-07-2025
- Business
- CNA
US Army pools contracts into up to $10 billion Palantir deal
The U.S. Army on Thursday said it was consolidating dozens of contracts into a single enterprise deal with Palantir, giving it volume-based discounts and the option to purchase up to $10 billion from the software provider over 10 years. The deal does not commit the Army to any new purchases, it said in a press release. The Army said the goal of this consolidation was to shorten procurement timelines and remove contract-related fees so it can deploy data integration and artificial intelligence tools faster.
Forbes
30-07-2025
- Business
- Forbes
Beyond The Merger: A Data-Driven Playbook For Healthcare Integration
Dave Albano, President of has more than 35 years of technology industry leadership experience. Mergers and acquisitions (M&As) are accelerating across healthcare—combining hospitals, physician groups, payers and digital health platforms in pursuit of scale, integrated care and better financial performance. However, the value of these deals often hinges on something far less glamorous: how quickly and securely the combined organization can merge and unlock value from inherited data. Meanwhile, M&A is a stress test across three critical domains: • Operational systems—from EHRs to scheduling tools—must be integrated to avoid disruption to patient care and clinician workflows. • Financial systems must be reconciled to ensure billing, revenue cycle management and forecasting remain accurate across legacy platforms. • Compliance requirements must be maintained across both entities, even as policies, access controls and reporting obligations shift under new ownership. In short, M&As create a perfect storm of fragmented systems, increased regulatory scrutiny and pressure to deliver value fast. The Post-M&A Data Landscape With each merger, multiple EHRs, claims systems, analytics tools and governance frameworks converge. This introduces a new layer of complexity, as most systems were built in isolation and weren't designed to talk to each other. Even beyond infrastructure, the business logic within these systems often diverges. Definitions for metrics like "encounter," "denial" or "readmission" can vary significantly. Getting to a shared view of operational performance, financial health and patient outcomes takes more than mapping data fields; it requires reconciling business processes and compliance assumptions. Timelines for these efforts are frequently underestimated. Data unification delays can stretch 12 to 18 months post-close, stalling the very efficiencies the deal was meant to unlock. To avoid these slowdowns, many leading organizations are investing early in centralized data repositories that unify fragmented pipelines, normalize definitions and support near real-time reporting across all departments. Non-Negotiables: Security And Compliance Healthcare data is highly regulated, and M&A activity intensifies those obligations. New data sharing workflows, unfamiliar vendors and transitional access permissions all increase exposure to security and privacy risks. Regulatory requirements such as HIPAA, HITECH and FTC breach notification rules remain in full effect during integration. In addition, state-level privacy laws like the California Consumer Privacy Act (CCPA) or others may apply depending on the entities involved. One common blind spot is user access. Orphaned accounts, inconsistent MFA enforcement and misaligned role definitions can allow unauthorized access to systems or data. Without a rapid, coordinated review of identity and access controls, the merged organization may be out of compliance from day one. The goal isn't just passing an audit. It's building trust with regulators, partners and patients. Organizations that succeed in this phase standardize identity governance across systems, implement centralized audit logging and surface compliance metrics in real time—turning regulatory risk into a managed, measurable process. Operational Challenges Beyond compliance, M&A introduces significant operational pressure. Redundant data pipelines, mismatched formats and unclear lineage slow everything from scheduling and claims to reporting and analytics. Many mid-market organizations rely on a patchwork of point tools or manual workflows—systems that may have worked before the merger but don't scale well under the increased load. The result is duplicated effort, more room for error and difficulty reconciling key performance indicators across the new entity. Even minor inconsistencies in data flows can impact clinical decisions, delay reimbursements or skew forecasts. Business continuity depends on information being not only available but also accurate, consistent and timely. Talent, Turnover And The Mid-Market Gap Post-merger environments often experience talent attrition and shifting roles. Institutional knowledge may walk out the door, and already lean teams are asked to do more with less—sometimes using unfamiliar systems. For mid-sized healthcare organizations, this is a major constraint. Teams can't rely on deep benches of engineers or expensive consultants to carry the weight of integration. That's why scalable, user-friendly platforms—designed around real workflows and supported by continuous feedback loops—are critical to long-term success. When systems are intuitive, front-line adoption increases, training costs fall and institutional knowledge is more easily retained. Bringing Order To The Chaos While no two mergers are alike, successful integrations share a common foundation—a focus on secure, scalable and efficient data unification. Prioritizing the following steps can help organizations avoid disruption, reduce risk and accelerate time to value: 1. Map what you have. Lay the foundation for trust and interoperability. Start by cataloging systems, data sources and access points across both organizations. Identify sensitive data, understand where it resides and how it's currently used. 2. Unify access and oversight. Establish governance that spans the new enterprise. Align access controls using role-based permissions. Ensure governance policies span all environments, including cloud and on-premises systems. 3. Enable seamless data flow. Support clinical accuracy and operational speed. Facilitate timely data exchange between systems to avoid discrepancies or duplication. Ensure updates to records are reflected everywhere they're needed. 4. Monitor critical workflows. Stay ahead of potential disruptions. Implement visibility into key workflows like ETL pipelines and reporting jobs. Early detection of delays or failures prevents downstream disruptions. 5. Automate where you can. Reduce manual effort and strengthen compliance. Use automation to support consistency—especially around access provisioning, audit logging and enforcement of compliance policies. This helps mitigate staffing gaps and reduces manual overhead. M&As can be transformative—but only if the underlying data and systems are securely and intelligently integrated. For healthcare organizations, this isn't just about operational alignment; it's about ensuring continuity of care, protecting patient trust and meeting the regulatory demands that govern the industry. Post-M&A integration must go beyond technical compatibility. It requires creating a unified view of operational and clinical data, delivering real-time insights to front-line care teams and embedding a culture of data-driven decision making from the C-suite to the clinic floor. That means automating manual processes, eliminating data silos and building scalable systems that support care delivery as much as they support compliance and financial stewardship. When done right, integration becomes more than a back-office function—it becomes a driver of better outcomes, faster decisions and more resilient care networks. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
Forbes
11-07-2025
- Business
- Forbes
Are Your Systems And Apps Working Together To Deliver The Most Value?
Cynthia Tee serves as the Chief Technology Officer at Smartsheet, where she spearheads the development of the company's innovative products. Technology's rapid advancement presents challenges, especially for large organizations with diverse systems. Disconnected systems, data silos and inflexible workflows hinder innovation. For businesses to maximize their technology investments, interoperability—the ability for disparate and independent systems, applications and tools to connect and exchange data—is a critical business requirement. Interoperability goes beyond integration. It enables a user-centered ecosystem that aligns with how teams work, overcoming the challenge of fragmentation. The Limits Of Data Integration What's the first step toward streamlined operations? Many would say the answer is data integration. Yet, you haven't solved the entire puzzle by merely connecting systems. In fact, stopping here often causes new tasks to bubble to the surface. Imagine trying to extract and harmonize data from disparate systems. Employees often lose valuable time manually transferring data between systems and resolving inconsistencies, while delays slow down productivity across the board. Data silos further exacerbate the problem by limiting visibility, leaving decision-makers without the insights needed to drive operations effectively. Additionally, disconnected systems prevent businesses from fully leveraging their technology investments. The ROI Of Interoperability Interoperability is no longer a luxury; it's a necessity. Picture a team trying to build something amazing, but their tools don't work well together. Instead of throwing out key systems of record and starting over, businesses can choose to invest in a collaborative work management platform that helps them get more value out of the tools they already use. By seamlessly integrating tools and aligning technology, teams can better serve customers. This causes fewer problems and delays, and it can accelerate decision-making across teams. Interoperability frees employees from repetitive tasks and enables them to dedicate their time to creativity, strategic thinking and high-value problem-solving. Here are a few examples of how this comes to life for teams across an organization: • Connect CRM data to a work management platform for faster time to delivery. Sales teams may efficiently use CRM systems like Salesforce or SAP, but other stakeholders need a broader view of the data. Interoperability allows seamless data exchange, letting each team work in its preferred environment while maintaining a unified information flow. Connecting CRM with a work management platform can help align leadership, sales and operations, ensuring smoother handoffs and successful delivery post-sale. • Bring multiple systems together to drive data insights. Organizations that focus on integrating their systems may see faster, more efficient reporting, centralized information management and a comprehensive view of progress toward goals. A significant benefit of interoperability is not just one-way or two-way data transfers between systems, but rather connecting multiple systems to one single platform that enables a comprehensive view of all the data that's accessible to people who may or may not have access to the connected systems. This can enable business leaders to see what's going on across teams and systems in one place, helping them resolve issues and make decisions faster. • Align stakeholders around a complete picture of request and ticket management. Connecting ticketing systems like Jira or an in-house system to a work management platform can help get information about the work that's in progress in front of decision-makers. This enables the creation of multiple views for different audiences, so teams can disseminate that information faster, identify and clear bottlenecks more quickly and reduce the possibility of error from manually duplicating information. This also lets people work in the systems where they work best: Developers can live in Jira, while executives can see the information they need in a high-level dashboard. Prioritizing Interoperability Within Your Organization When purchasing new software for your tech stack, interoperability is an important consideration. Here are a few questions that are important to ask: • Is this adding value for your organization? Just because an integration exists between two systems doesn't mean that it necessarily has the functionality people need (e.g., data fields available, one-way versus two-way data transfer, etc.). • Is your data secure? This is especially important when it comes to data being used or stored in multiple systems. Consider using least privilege by default, integrating not just with other systems of record or productivity tools but with security applications and ensuring customers have the ability to audit along the way. • Are people able to access the data they need, when and where they need it? To effectively manage work, look for tools that can pull what's needed from both your systems of record and productivity tools, so workers have the right information at the right time. • Are you taking into account the full costs of integrating (or not integrating)? Consider the full cost of the integration. Does it enable you to eliminate the need for licenses in more expensive systems of record by allowing people to access the data they need elsewhere? • Are the integrations you're looking at self-service? Can end users build the integrations they need, or will building even simple workflows necessitate a lot of work from IT? Flexible, easy-to-build tools can enable business users to drive meaningful outcomes without relying on IT resources or budget. Interoperability's Time To Shine Interoperability is no longer optional; it's the foundation of modern business technology. For organizations at the forefront of innovation, the question isn't whether to invest in tools that can harmonize information across systems; it's how quickly they can harness its potential to unlock new opportunities and achieve their goals. Some key trends to keep an eye out for in the future include AI-driven integrations, standardized APIs to encourage a more connected environment and human-centric design that helps users maximize their technological capabilities. When systems work well together, businesses can boost creativity, increase productivity and make real progress. As systems become more connected and adapt to human needs, businesses may be better equipped to tackle challenges and seize opportunities. Interoperability bridges the gaps between systems, enabling streamlined operations, enhancing collaboration and freeing employees to focus on meaningful, high-value tasks. This can lead to a business environment where innovation thrives, productivity improves and technology realizes its full potential. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
Yahoo
25-06-2025
- Business
- Yahoo
RepRisk boosts agentic AI delivery to power data integration
RepRisk adds 30 new team members to further innovate agentic AI delivery and data integration, building on two decades of AI innovation and human-labeled data ZURICH, Switzerland , June 25, 2025 /PRNewswire/ -- Today, RepRisk, the world's most respected DaaS company for reputational risks and responsible business conduct, announced its plans to hire 30 full-time employees to build out its next-generation agentic delivery capabilities and accelerate advanced data integration. 23 new hires take on AI and connected-LLM expert roles with most positions based at RepRisk's Zurich headquarters and several located in the Berlin office, forming a dedicated agentic products team. To satisfy client demand for enterprise-wide data integration, 7 of the 30 new full-time employees will strengthen the key account management and data delivery and integration teams. By scaling two decades of human expertise with AI, and orchestrating data creation and delivery via AI agents, RepRisk empowers clients to access broader risk insights without compromising on accuracy, enabling novel ways to consume, enrich, and integrate its data. "To serve our clients the way they wish – delivering our highly accurate, human-labeled data flexibly, seamlessly, and at scale – we are growing our team, continuing our path as an AI pioneer, and expanding the deployment of AI agents," commented Yani Kalafatis, Chief Technology Officer at RepRisk. He continued, "As one of Microsoft's Frontier Firms at the forefront of AI agent innovation, we are proud to help shape the paradigm shift from traditional bulk data licensing and static APIs to intelligent, context-aware, and goal-driven interactions between data products and enterprise systems." "Building on our proven AI technology and connected agents, we are continuing our investment in AI to lead the way in agentic orchestration and delivery – unlocking new, transformative approaches to enterprise-wide data integration for our clients," commented Philipp Aeby, CEO and Co-founder at RepRisk. He continued, "Agentic delivery is the next step in empowering financial institutions and decision-makers to apply RepRisk's global standard for business conduct data – anytime, anywhere, and in ways that drive lasting value and impact." Notes to editors Underpinned by a two-decade heritage and consistent methodology, RepRisk uniquely combines advanced AI with deep human expertise to empower the global finance community with trusted risk insights. Known for its relevant coverage, unparalleled accuracy, and speed, RepRisk's high-quality data enables more than 90 of the world's major banks, 80% of the top investment managers, and 14 of the top 20 private equity firms to make better-informed decisions – driving growth and preserving long-term value. RepRisk offers the largest and most comprehensive dataset, covering 100+ risk factors across 350,000+ entities globally (public and private companies, and related projects), and takes an objective, rules-based 'outside-in' approach – irrespective of information published by companies. Every day, RepRisk analyzes 2.5 million documents from 150,000 sources across 23 languages to deliver relevant risk insights. About RepRisk RepRisk is the world's most respected Data as a Service (DaaS) company for reputational risks and responsible business conduct. Since 2007, RepRisk's data has been trusted by the world's leading banks, investment managers, Fortune 500 companies, sovereign wealth funds, and organizations such as the OECD and UN. Combining advanced AI with deep human expertise, and a proven methodology at the core, RepRisk's solutions bring peace of mind, enabling clients to 'know more, be sure, and act faster'. Our pioneering solutions help to strengthen due diligence processes across ESG topics, such as biodiversity, deforestation, human rights, and corruption, empowering clients to identify, monitor, and mitigate reputational, compliance, and financial risks. Headquartered in Zurich, and with offices in Toronto, New York, London, Berlin, Manila, and Tokyo, we stay close to clients and bring an independent lens to the industry. United by our shared belief in the power of data, our 400 people are proud to be setting the global standard for business conduct data and driving positive change through transparency. Visit us at and follow us on LinkedIn. Contact Mathias Fürer+41 41 552 30 01media@ Logo: View original content to download multimedia: SOURCE RepRisk Sign in to access your portfolio
Yahoo
25-06-2025
- Business
- Yahoo
RepRisk boosts agentic AI delivery to power data integration
RepRisk adds 30 new team members to further innovate agentic AI delivery and data integration, building on two decades of AI innovation and human-labeled data ZURICH, Switzerland , June 25, 2025 /PRNewswire/ -- Today, RepRisk, the world's most respected DaaS company for reputational risks and responsible business conduct, announced its plans to hire 30 full-time employees to build out its next-generation agentic delivery capabilities and accelerate advanced data integration. 23 new hires take on AI and connected-LLM expert roles with most positions based at RepRisk's Zurich headquarters and several located in the Berlin office, forming a dedicated agentic products team. To satisfy client demand for enterprise-wide data integration, 7 of the 30 new full-time employees will strengthen the key account management and data delivery and integration teams. By scaling two decades of human expertise with AI, and orchestrating data creation and delivery via AI agents, RepRisk empowers clients to access broader risk insights without compromising on accuracy, enabling novel ways to consume, enrich, and integrate its data. "To serve our clients the way they wish – delivering our highly accurate, human-labeled data flexibly, seamlessly, and at scale – we are growing our team, continuing our path as an AI pioneer, and expanding the deployment of AI agents," commented Yani Kalafatis, Chief Technology Officer at RepRisk. He continued, "As one of Microsoft's Frontier Firms at the forefront of AI agent innovation, we are proud to help shape the paradigm shift from traditional bulk data licensing and static APIs to intelligent, context-aware, and goal-driven interactions between data products and enterprise systems." "Building on our proven AI technology and connected agents, we are continuing our investment in AI to lead the way in agentic orchestration and delivery – unlocking new, transformative approaches to enterprise-wide data integration for our clients," commented Philipp Aeby, CEO and Co-founder at RepRisk. He continued, "Agentic delivery is the next step in empowering financial institutions and decision-makers to apply RepRisk's global standard for business conduct data – anytime, anywhere, and in ways that drive lasting value and impact." Notes to editors Underpinned by a two-decade heritage and consistent methodology, RepRisk uniquely combines advanced AI with deep human expertise to empower the global finance community with trusted risk insights. Known for its relevant coverage, unparalleled accuracy, and speed, RepRisk's high-quality data enables more than 90 of the world's major banks, 80% of the top investment managers, and 14 of the top 20 private equity firms to make better-informed decisions – driving growth and preserving long-term value. RepRisk offers the largest and most comprehensive dataset, covering 100+ risk factors across 350,000+ entities globally (public and private companies, and related projects), and takes an objective, rules-based 'outside-in' approach – irrespective of information published by companies. Every day, RepRisk analyzes 2.5 million documents from 150,000 sources across 23 languages to deliver relevant risk insights. About RepRisk RepRisk is the world's most respected Data as a Service (DaaS) company for reputational risks and responsible business conduct. Since 2007, RepRisk's data has been trusted by the world's leading banks, investment managers, Fortune 500 companies, sovereign wealth funds, and organizations such as the OECD and UN. Combining advanced AI with deep human expertise, and a proven methodology at the core, RepRisk's solutions bring peace of mind, enabling clients to 'know more, be sure, and act faster'. Our pioneering solutions help to strengthen due diligence processes across ESG topics, such as biodiversity, deforestation, human rights, and corruption, empowering clients to identify, monitor, and mitigate reputational, compliance, and financial risks. Headquartered in Zurich, and with offices in Toronto, New York, London, Berlin, Manila, and Tokyo, we stay close to clients and bring an independent lens to the industry. United by our shared belief in the power of data, our 400 people are proud to be setting the global standard for business conduct data and driving positive change through transparency. Visit us at and follow us on LinkedIn. Contact Mathias Fürer+41 41 552 30 01media@ Logo: View original content to download multimedia: SOURCE RepRisk
