The Future of Insurance

Many of the Nordic companies currently exploring techniques like AI and machine learning experience how essential the data foundation is. Learn how a cloud-based “lakehouse” can provide a scalable, cost-effective platform for both machine learning and data analytics workloads.

Insurers are expecting dramatic changes to their work by 2023 as a result of adopting digital technologies and mindsets, according to our study. Speeding processes, harnessing data and forming new collaborations will be the keys.

How do you transform ERP backbones into systems of innovation? The solution relies on the convergence of customer-centricity, new technology adoption, and business model modernization. Only by connecting these disciplines, a company can deliver truly data-driven customer experiences. Modernizing your core by converting to SAP S/4HANA is key, says Client Partner Christian Staalby.

SAP customers have been given a deadline of 2027 to migrate to SAP S/4HANA. While it’s not a must (you have the option of extended support until 2030), companies should seriously consider what advantages a migration brings in terms of future-proofing the business.

Adopting a microservices architecture style? Learn how to avoid implementation challenges and even failures in this whitepaper.

Modernizing the application portfolio is a critical step in any cloud migration. Building agility, reliability and scalability into enterprise software will position organizations to respond more effectively to continuous change. And application modernization efforts don’t need to stop because of Covid-19; they just need to be re-imagined.

A Salesforce-based solution is improving this firm’s relationship with independent brokers, by providing a consistent and coherent window into its processes. Both user experience and quality have changed to the better.

Challenged by disruptive players and ever-increasing customer demands, banking, finance and insurance companies are looking for new ways to quickly adapt. However, an infrastructure full of technical debt is holding back innovation. How can AI and analytics help these big companies break free?

As European businesses assess the wreckage of the pandemic, the region seems more ready than ever to grasp the opportunities offered by digital tools and techniques and their role in the future of work, according to our recent Work Ahead study.

How are Cognizant helping Nordic organizations improve business, increase efficiency and reduce costs with the help of data and artificial intelligence? Learn from these companies that have embarked on their AI journey.

Accounts payable processes are excellent candidates for automation. Reengineered processes, combined with AI and intelligent automation, can minimize costs, create efficiencies and improve compliance. These are the three key levers needed to succeed.

Global businesses are experiencing major disruptions driven by digitalization, and the HR departments are at the front line. What will HR of the future look like? Will operational tasks to be taken over by robots? How can outsourcing of HR processes empower a more strategic approach? Download our whitepaper with a focus on HR in the Nordics.

Often overlooked, the O2C cycle is an opportunity to reduce costs and working capital requirements. We explain how AI can be infused in the cycle to enable better decisions, drive automation, and reduce exceptions.

The rise of digital finance capabilities enables finance and accounting (F&A) data to be leveraged in new, valuable ways. Levers like smart analytics, intelligent automation, and experience design can realize real-time enhancement of company-wide operations and smoother execution of business strategies. Learn the essential steps to take and get examples from our clients’ F&A functions.

IoT initiatives offer enormous opportunities for companies to adapt and remain resilient in a rapidly evolving operating environment, like the one we are currently experiencing. However, many IoT initiatives are trapped in the innovation basement, while it should really be an enterprise matter. Learn more in this whitepaper.

Be it in banking, insurance or any other industry, the pressure on improving the customer experience is immense. How can an organization engage more closely with consumers and become more responsive to their needs? By using data strategically through AI and ML (machine learning). Cognizant’s Erik Dingvall, Director of AI & Analytics, explains why the data foundation is essential in becoming truly digital.