Improving the workplace of the future
Economics doctoral student Whitney Zhang investigates how technologies and organizational decisions shape labor markets.
Finance
Making AI models more trustworthy for high-stakes settings
A new method helps convey uncertainty more precisely, which could give researchers and medical clinicians better information to make decisions.
Read MoreEduFi, founded by an MIT alumna, provides low-interest student loans to families in Pakistan so more can attend college.
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Proactive AI Governance
The adoption of generative AI (GenAI) poses significant security risks as its use expands across industries. Despite its rapid growth and value creation, organizations must address emerging vulnerabilities and ensure robust governance to mitigate potential threats. Strategies should focus on comprehensive risk management, accountability, and transparency to handle deception and bad actor exploitation. Weiyee In CDO TIMES Contributing Executive is exploring this topic in detail and offers actions leaders can take to protect themselves against this evolving threat.
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AI Helped the U.S. Government Recover $1 Billion in Fraud in 2024 – And It’s Just Getting Started
In fiscal 2024, the U.S. Treasury recovered $1 billion in check fraud, a significant increase due to AI’s data analysis capabilities. AI has transformed fraud detection and recovery efforts, with over $4 billion identified. As fraud schemes evolve, AI integration is crucial for businesses to combat financial crime effectively.
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Harnessing Insurtech: Navigating Digital Tides in Insurance
Insurtech is revolutionizing the insurance sector with AI, enhanced operational resilience, investment opportunities, ESG strategies, and improved customer experiences. Case studies highlight companies like Zurich Insurance adopting insurtech for improved customization and efficiency. Growth indicators, emerging startups, and strategic collaborations indicate a vibrant insurtech landscape. Future developments focus on improved user experience, data security, sustainable practices, and cyber resilience. Insurtech is redefining risk management, bolstering customer engagement, and creating growth opportunities for insurance providers.
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AI Unchained: Navigating the New Frontier of Secure Artificial Intelligence Post-Biden’s Landmark Executive Order
The President Biden Executive Order builds upon previous actions and includes voluntary commitments from 15 leading companies for the safe, secure, and trustworthy development of AI as part of a comprehensive strategy for responsible innovation1.Moreover, the Executive Order aligns with the broader objectives of ensuring that America leads in managing AI’s promise and risks, advancing equity and civil rights, standing up for consumers and workers, promoting innovation and competition, and advancing American leadership globally.The most significant and immediate challenge for the financial services and technology industries is that any Executive Order does not require congressional approval, but they are mandates and compel federal agencies like National Institute of Standards and Technology (NIST), Department of Energy (DOE), Department of Homeland Security (DHS) to follow the order’s directives. While an order should not contradict or supersede any existing laws, because the order has initiated likely policy changes, the potential impact is significant. Orchestrating the most comprehensive set of measures ever taken to protect Americans from potential risks associated with AI systems without having either legislation or AI standards and an AI governance framework in place is pointing out the dire need for the development of said standards and tools and the requirement of sharing of test results for the most high-risk systems.
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Navigating the AI Labyrinth: Fitting AI to purpose for Financial Institutions
Financial institutions globally need to understand the tools that can put their data to highest and best use and how, and in turn demonstrate and explain that to regulators to not only show transparency but also operational efficiency. The responsible and ethical use of AI, be it deterministic, reactive or generative requires a multi-faceted approach that combines an AI governance framework, security oversight, a data governance and data management plan that maps against organizational policies and compliance measures with technological controls and safeguards with continuous monitoring integrated to an incident response plan in place
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Navigating the Future of Retail Payments: Detailed Insight into Emerging Trends
The era of omnichannel retail is witnessing an innovative turn in payment solutions, driven by the concerted efforts of technology and customer expectations. As digital wallets, mPOS, Amazon Go, palm-payments, smart shopping carts, AR and VR, social commerce, cryptocurrency payments, biometric payments, installment payment services, contactless cards, NFC payments, and voice payments shape the future of transactions, it is vital for Chief Digital Officers (CDOs) to strategically align these payment technologies with their business models.
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The Unseen Pitfalls of Multi-Cloud Subscriptions: Mastering FinOps for Scalable and Cost-Efficient Infrastructure
To conclude, while the rush to the cloud is understandable, it’s critical that businesses tread with caution. Implementing a FinOps model can help companies navigate the intricate dynamics of multi-cloud subscriptions, enabling them to unlock the full potential of the cloud without breaking the bank. The road to effective FinOps may be steep, but the view from the top is worth the climb.
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