Artificial Intelligence

March 12, 2026 at 08:44 PM | Est. read time: 10 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Generative AI has moved from “interesting experiment” to “real business lever” at a speed few technologies manage. It can draft customer responses, summarize contracts, accelerate software development, generate marketing variations, […]

March 10, 2026 at 08:30 PM | Est. read time: 12 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Building a prototype with a large language model (LLM) is easier than ever. Shipping a reliable, secure, observable, and cost-controlled LLM application into production is a different game entirely. Production

March 10, 2026 at 07:56 PM | Est. read time: 12 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Vector databases have quickly become core infrastructure for modern AI products-especially anything involving semantic search, RAG (retrieval-augmented generation), recommendations, personalization, or anomaly detection. But “vector database” isn’t a single category

February 27, 2026 at 01:51 PM | Est. read time: 11 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Autonomous agents are quickly moving from “interesting AI demos” to practical tools that reshape how modern teams get work done. Unlike traditional automation-where workflows follow rigid, predefined rules-autonomous agents can

February 27, 2026 at 04:09 PM | Est. read time: 10 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Artificial intelligence used to be synonymous with language-chatbots, copywriting tools, summarization, and search. But a quieter shift has been accelerating across industries: AI that understands images and video. This is

February 26, 2026 at 01:43 PM | Est. read time: 10 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Autonomous AI agents-sometimes called agentic AI-are quickly moving from “interesting demo” to day-to-day operational advantage. Unlike traditional automation (which follows rigid, pre-defined rules), autonomous agents can plan, take action across

February 26, 2026 at 03:24 PM | Est. read time: 8 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Building AI agents sounds straightforward-until the workflow grows into a maze of prompts, tools, retries, memory, and handoffs between “specialists.” That’s where orchestration matters. Two tools have become especially popular

Corporate data analysis is entering a new phase. Instead of dashboard-centric interactions, the experience is now driven by agents capable of investigating changes, connecting evidence, and suggesting actions based on governed data. This advancement gained momentum with the evolution of the Qlik Agentic AI experience. The public announcement took place at the Qlik Connect 2025

February 12, 2026 at 03:24 PM | Est. read time: 10 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Choosing between TensorFlow and PyTorch is rarely about which framework is “better.” In real-world ML, the deciding factors are usually production constraints: deployment targets, latency requirements, hardware acceleration, monitoring, model