Raise your hand if you’re using data and AI, but are as busy as ever. If that sounds familiar, you’re not alone. Many employees are still weighed down with high volumes of manual processing despite having data and analytics tools. For some, the workload has even increased as analytics and AI generate more information that requires review and
Fraud targeting public sector programs has entered a new phase. Sophisticated fraudsters, armed with AI, are depleting public sector budgets and damaging trust in government – and that’s a reality governments must face. What was once largely opportunistic and fragmented has become organized, industrialized and increasingly cross-border. Fraudsters no longer
Every lottery ticket printed is a forecast – and when that forecast is wrong, the consequences are immediate. “If the ticket’s there, you buy it. If the display is empty, you walk away,” said Kyle Gray, Insights and Analytics Manager at the North Carolina Education Lottery. “That moment is forecasting.”
Learn how supply chain management evolves from isolated tools to integrated agents that address the complexity and interdependence in S&OP.
If AI ambition inside your bank is starting to collide with day‑to‑day delivery realities, this six‑minute video is worth your time. It’s a “cut through the noise” conversation about what’s shaping banks right now: risks, opportunities and the reality behind the hype. AI’s impact depends on the foundation Listen to
Agentic AI has been heralded as a top tool for efficiently orchestrating customer engagement activities at insurance companies. It can: Automate repeatable, rule-based processes that affect customer experience (think claims processing and customer onboarding). Rapidly retrieve disparate data, analyze risks and recommend decisions. Help lower operational costs while keeping humans
In the enterprise risk and fraud space, the word "creativity" has traditionally implied a lack of control. For decades, organizations have refined deterministic models – if credit score is X and debt-to-income ratio is Y, then take action Z – to ensure compliance, repeatability and stability. That approach worked because
Generative AI showed up in the enterprise fast. In what felt like no time, it went from something people were experimenting with to something leaders were expected to have a plan for. Not just whether to adopt it, but how it fits into the future of their organization. Underneath all
One of the lesser talked-about issues large organizations face is the siloes that their various business units operate in. It’s a peculiar situation born from the specificity of tasks and objectives assigned to hyper-specialized teams within an enterprise. This separation of tasks inevitably leads to critical dependencies between teams. However,
With the rapid evolution of regulatory environments, the pressure on financial institutions (FIs) to effectively detect and prevent money laundering while staying compliant with the changing pace of regulatory requirements is greater than ever. However, with the right tools and strategies, this pressure can be effectively managed. Regulatory scrutiny is
