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402.74 million terabytes of data are generated every day. That’s a staggering number. As more organizations gravitate toward cloud-native, open-source-friendly architectures integrated with an ecosystem, the demand for explainability from AI models trained on this data mounts. So does pressure to show ROI from AI investments. Data is the source […] The post How to […]
How to modernize your data estate for AI success Read More »
If it’s about building better systems, we must ask: Better for whom? In parts one and two of this series, I’ve looked at AI engineering as the discipline that integrates technical practices and orchestrates the -Ops landscape. And I’ve addressed end-to-end accountability, shared governance, and adaptive resilience. But there’s a […] The post AI engineering:
AI engineering: The ethical and social imperatives Read More »
With agentic AI, insurers have new tools for their fight against sophisticated claims fraud. The post Agentic AI raises the stakes in the insurance fraud battle appeared first on SAS Blogs.
Agentic AI raises the stakes in the insurance fraud battle Read More »
Most organizations encounter various complexities and bottlenecks. Whether it is due to continued economic uncertainty or shifting customer expectations. Much of this is also driven by data and AI, which are reshaping decision-making, including how societies approach labor. Ultimately, what will differentiate organizations is how they use their data and […] The post 3 keys
3 keys to making the right decisions amid rising complexity Read More »
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. And underneath […] The post From AI
Regulatory pressure is real. Regulations keep piling up – ESG, GDPR, supply chain due diligence and now the EU AI Act. There’s no sign of it slowing down. And it’s not just regulators watching; customers, partners, and investors have rising expectations. The situation feels like a pressure cooker. Leaders in […] The post Governance isn’t
Governance isn’t a burden — it’s a business strategy Read More »
Last year was a big one for AI – especially regarding agents, large language models (LLMs) and digital twins. With every new advancement that changed our lives for the better came something equally complicating (trust and governance, for example), but I firmly believe AI is steering us in the right […] The post Retro vibes
Retro vibes to futuristic leaps: 4 predictions for the year ahead Read More »
Every so often, new technology hits like an earthquake. It starts with faint rumblings, then suddenly creates an irreversible shift in the landscape. Social media was one of those moments. What began as an experiment quickly became a cultural engine, reshaping how we communicate, consume information and do business. Its […] The post Trust and
Trust and talent: The foundation for responsible AI adoption Read More »
I explored the potential of agentic AI across four foundational insurance functions in a previous blog article. Building on that discussion, this article takes a focused look at one of those pivotal functions – claims processing. Global insurance companies are intensively exploring which practical applications of agentic AI can deliver the most […] The post Quality and
Quality and efficiency soar with agentic AI for claims Read More »
If AI engineering is the connective tissue, what exactly does it connect? In part one of this series, I made the case that AI engineering isn’t just another buzzword – it’s a discipline that integrates the technical, ethical and human dimensions of building AI systems. So, what are we connecting, […] The post AI engineering:
