MCP: Enabling the Next Phase of Enterprise AI
The Model Context Protocol (MCP) supports the development of AI agents that can perform complex tasks by interacting with multiple data sources and tools in …
Explores the intersection among business intelligence, Big Data technologies, and real-time analytics.
The Model Context Protocol (MCP) supports the development of AI agents that can perform complex tasks by interacting with multiple data sources and tools in …
In the age of AI-generated code and the growing reuse of open-source software components, organizations need to adopt a security first strategy to save money, …
Digital twins are expected to become commonplace by 2035. However, implementing them may require resources and expertise that may not be available to many …
As the digital advertising ecosystem continues to evolve, the integration of privacy-aware infrastructure and fairness-focused algorithms will be paramount. By …
Models are changing and companies may soon take advantage of more efficient and cost effective
Training LLMs on company-owned data equips an organization’s LLMs with the intelligence they need to act as true extensions of an
Companies that align AI initiatives with business priorities, invest in adaptable, user-friendly solutions, and continuously measure impact will see tangible …
Mainframe modernization is no longer optional—it is a strategic necessity. While AI alone cannot fully resolve the COBOL challenge, when combined with …
The future of manufacturing belongs to those who can design intelligently, adapt rapidly, and collaborate without limits. Cloud-based SaaS platforms are the …
Industry 5.0 represents more than just a technological shift; it’s a philosophical change in how the industry views manufacturing. It demands that automakers …