3 Challenges of Adopting Machine Learning (and How to Solve Them)
Organizations should focus on data quality, continuous monitoring, AI explainability, and regulatory compliance to ensure that machine learning contributes …
Topic: Business Strategies
Explores the intersection among business intelligence, Big Data technologies, and real-time analytics.
Closing the AI Readiness Gap: Unlocking the Full Potential of AI Agents
AI agents provide a powerful opportunity to enhance business operations and customer interactions. When deployed strategically and aligned with business goals, …
AI Agents are Reasoning with Tools: What MCP Means for Autonomy
With protocols like MCP, models are no longer just responding to prompts. They are actively reasoning about the tools and steps needed to complete a
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 …
Transforming Security into an Ongoing Practice
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 will Soon be Everywhere, Futurists Predict
Digital twins are expected to become commonplace by 2035. However, implementing them may require resources and expertise that may not be available to many …
Charting a New Course for Digital Advertising: Fairness and Privacy through Infrastructure Innovation
As the digital advertising ecosystem continues to evolve, the integration of privacy-aware infrastructure and fairness-focused algorithms will be paramount. By …
The State of AI: Smaller, Smarter, and More Affordable
Models are changing and companies may soon take advantage of more efficient and cost effective
Why Training LLMs on Company-Owned Data Is the Key to Scaling AI
Training LLMs on company-owned data equips an organization’s LLMs with the intelligence they need to act as true extensions of an
AI Strategy that Works: How to Integrate AI for Real Business Impact
Companies that align AI initiatives with business priorities, invest in adaptable, user-friendly solutions, and continuously measure impact will see tangible …