Stay ahead of the sales curve with AI-assisted Salesforce integration
Any organization with Salesforce in its SaaS sprawl must find a way to integrate it with other systems. For some, this integration could be in the form of a platform-nati...
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5 challenges in implementing AI in video surveillance
Artificial intelligence (AI) makes security cameras more versatile and useful. It can recognize suspicious behavior in real time, monitor video feeds to mitigate labor sh...
How to design LLMs that don’t need prompt engineering
Standard LLMs rely on prompt engineering to fix problems (hallucinations, poor response, missing information) that come from issues in the backend architecture. If the ba...
From raw data to real-time insights: Building high-speed data pipeline diagrams
Data pipeline diagrams function as blueprints that transform unprocessed data into useful information. According to an IBM study, 39% of businesses anticipate increased r...
How generative AI is reshaping traditional QA strategies
Software development cycles accelerate constantly, pushing quality assurance teams to keep pace. However, the pressure engineering leaders face to ensure quality under th...
Geometric deep learning: AI beyond text & images
Discover how Geometric Deep Learning revolutionizes AI by processing complex, non-Euclidean data structures, enabling breakthroughs in drug discovery, 3D modeling, and ne...
What’s wrong with data-based decision-making?
Whether launching a new product or changing an existing one, decision-makers are relying on data more heavily than ever. Today, we can track customer behavior, competitor...
Mathematical optimization for AI
Interview / Jerry Yurchisin, Sr. Data Scientist @ Gurobi As a lifelong systems thinker and technology advocate, I’ve long been fascinated by the intersection of data sc...
How to successfully implement semantic segmentation in AI
Modern AI applications like autonomous vehicles, medical imaging, and satellite analysis require pixel-perfect visual understanding that traditional object detection cann...
Emerging standards: Model Context Protocol
Interview with John McDonald When I first read about the Model Context Protocol (MCP), I was deep in designing a new cognitive memory system when it dropped. I reali...