OptMyCare’s Post

Accuracy matters when you are underwriting large self-insured groups for stop loss. Optmycare provides the most accurate predictive analytics to identify rising risk AND cost. If you are a stop loss healthcare reinsurer and not using Optmycare you are at a disadvantage! #stoploss #reinsurance #predictiveanalytics #healthAI #healthcarerisk

AI for internal auditing and controls requires way more than a chat interface on your old tools. If you're interested in learning how MindBridge has revolutionized ICFR with AI and deep analytics, stop by and see us at #IIAGAM this week or online anytime at https://mindbridge.ai. #AiCFR

AI drives the efficiency of field teams through the roof! Irth is on the front lines helping Clients maximize their use of #artificialintelligence to automate tasks, increase resiliency, augment your workforce, and reduce operational costs. Join us as our Chief Product Officer reviews what this means to our Clients! #criticalassetprotection #criticalinfrastructure

At our next webinar, July 31 at 1pm EST, Matthew Abbitt, Irth’s Chief Product Officer, will share the ways you can leverage AI and automation to ensure accuracy and compliance in field operations. You’ll learn: - Actionable strategies to improve situational awareness - How to tailor risk management to meet specific operational needs - Ways to transform your workflow Register today so you don’t miss out on enhancing your field operations with the latest AI and automation technologies: https://hubs.la/Q02H9Gys0 #AI #damageprevention #safety #compliance

As #AI is becoming anchored in financial data management, it brings a promise of revolutionising operations, bolstering risk management and compliance functions, and personalising customer service. However, the journey from promise to process is fraught with challenges that must be navigated to unlock long-term benefits. Read our blog on implementing AI in #FinancialDataManagement and discover the insights on the specific challenges with AI adoption from our recent research of senior decision-makers across financial institutions: https://lnkd.in/ewixbC4a

Our recent survey of decision-makers in #FinancialServices organisations worldwide highlighted how #AI is transforming financial #DataManagement for these firms. 55% of the survey sample overall said their firm is using AI for risk data management. Just under half, 49% are using it for client data management, and 47% and 46% of firms, respectively, are leveraging it to optimise portfolio management and market data management. Download our new eBook to find out more about how AI is impacting finance firms worldwide. https://lnkd.in/eMKSa7UR

#GenAI Governance To help organizations navigate AI governance challenges, Google Cloud has outlined 10 best practices to streamline and operationalize AI implementation at scale → https://goo.gle/3QQ8IRx

AI is playing a key role in helping the reinsurance industry achieve profitable growth. Check out this article to discover six ways to leverage AI from predictive analytics to data-driven risk models to make better informed decisions: https://lnkd.in/g4gzPqkV Aon's Reinsurance Solutions #AI #Reinsurance #PredictiveAnalytics #ProfitableGrowth #RiskManagement #DataDriven

Kroll's Risk Analytics Monitor, powered by #AI and advanced #dataanalytics, identifies high-risk transactions and eliminates inefficiencies by seamlessly integrating multiple compliance and #duediligence tools. Request a demo: http://ms.spr.ly/6046cSf88 #RiskManagement

Today’s leaders are eager to adopt #generativeAI technologies and tools. Yet the next question after what to do with it remains: How do you ensure risk management and governance with your AI models? To help organizations navigate AI governance challenges, we’ve outlined 10 best practices to streamline and operationalize AI implementation at scale → https://goo.gle/3QQ8IRx