In a recent report from Marsh McLennan Agency, it was revealed that cybersecurity and data privacy have emerged as the primary concerns among U.S. middle-market business leaders, with a striking 75% of respondents expressing extreme or high concern. These concerns are followed by economic risks and
Over the past decade, data privacy laws have significantly evolved, particularly with the enactment of the General Data Protection Regulation (GDPR) in the European Union in 2018 and the California Consumer Privacy Act (CCPA) in 2020. These regulations have profoundly impacted how businesses
In today's fast-paced business environment, timely and accurate data is crucial for decision-making. Real-time Business Intelligence (RTBI) provides the ability to analyze and act on data in real-time. However, deploying and managing RTBI systems is fraught with common pitfalls and challenges.
In the current era of digitalization, cybersecurity has become a paramount concern for businesses, regardless of their size or industry. With the increasing reliance on digital infrastructure and data, ensuring protection against cyber threats is essential for uninterrupted business operations.
The digital revolution has ushered in an era where artificial intelligence (AI) touches nearly every aspect of business operations. However, alongside the benefits of AI comes a new spectrum of cybersecurity threats that businesses must tackle head-on. Regulated by the New York Department of
IBM is making significant strides in the realm of enterprise AI with the launch of its third-generation Granite large language models (LLMs). With a solid $2 billion generative AI business, IBM's strategic advancements aim to bolster various enterprise functions and set new standards for AI
