Systems | Development | Analytics | API | Testing

From Database to AI-Ready: How DreamFactory's RBAC Security Controls Future-Proof Your Data Access

Want secure, AI-ready data access? DreamFactory's Role-Based Access Control (RBAC) system simplifies managing who can access what in your databases and APIs. Why it matters: Poor data management causes 1 in 3 AI projects to fail. Breaches by insiders cost $4.99 million on average, yet only 24% of AI projects include proper security. How DreamFactory helps: Assign roles to users, control access to specific data, and limit actions (like view vs. edit) without custom code.

Tech, talent or trust: What's holding back AI adoption the most?

Tech, talent or trust: What’s holding back organizations from AI adoption the most? Along with exploring that question, in this short video, Practice Director for Data Management, Analytics & AI at Informa TechTarget’s Enterprise Strategy Group, Michael Leone, discusses AI adoption with Hitachi Vantara leaders, including: The video also explores exciting AI use cases, the data issues hindering AI and tips for measuring the success of your AI initiatives.

AI initiatives and obstacles: How to stay competitive

By failing to adopt AI and modern data strategies, companies risk falling behind. According to Informa TechTarget’s Enterprise Strategy Group (ESG), 86% of enterprise-class organizations are planning to invest at least $1 million in data and AI initiatives. To help your business keep up, in this video ESG’s Practice Director for Data Management, Analytics & AI, Michael Leone, explores how to build a trusted data foundation, the biggest data challenges faced by companies, and much more.

Cloudera's AI Studios: Making Advanced AI Accessible to All

The demand for AI-driven applications is surging, and enterprises have reached an inflection point where they can no longer afford fragmented, siloed development. Traditionally, AI development is done by data scientists or machine learning experts with deep expertise in multiple tools and frameworks.

The Intersection of GDPR & AI: Navigating Data Protection When Adopting AI

How does GDPR impact AI innovation, and what affects might AI have on regulations like GDPR? According to McKinsey, 78% of companies now use AI in at least one area of their business as of July 2024. But this quick adoption brings challenges for organisations handling data from the European Union and the UK. The main challenge for InfoSec and other enterprise leaders is clear. Using AI effectively means being able to develop faster.

How is AI in transportation transforming boundaries?

When you think of artificial intelligence in transportation, what’s the first image that comes to mind? Is it self-driving cars smoothly cruising city streets, or maybe delivery drones zipping through the skies? While the dream of fully autonomous vehicles might still be on the horizon, the reality is that AI is already reshaping how we move, every single day. Look how our Co-founder is enjoying the view in a self-driving car in the USA! ‍ Yes, you saw that right, it’s fully autonomous.

AI in Agriculture - The Future of Farming

Agriculture has long been the backbone of human survival, proof of our deep connection with and dependence on nature. But as the world evolves, so do the challenges in farming. From shrinking arable land to unpredictable weather patterns, how can farmers keep up? How do we ensure there's enough food for future generations? There’s no doubt that farming has come a long way, but let’s be honest, it’s getting harder every year.

Integrating Tools & Systems with AI Agents via MCPs | Demo

Supercharge Your AI Agents: Real-Time Integration with Your Tools via MCPs! Why limit your AI agents to static responses? With Astera AI Agent Builder’s seamless tool integration through MCPs (Model Context Protocols), your agents can interact with external systems, execute real-time actions such as updating databases, fetching contextual data from CRMs, or triggering workflows in ERP systems.

Building Agent Co-pilots for Proactive Call Centers

Gen AI call center co-pilots can provide enterprises with operational visibility and insights while automating repetitive tasks, to improve the customer experience. In this session, we’ll show how a large health insurance provider implemented an agentic co-pilot designed scale across multiple call centers and environments. To dive deep into the architecture and see a demo of the co-pilot, you can watch the webinar this blog is based on.