The Latest Studies on Big Data in Companies
Big Data 2025: Agentic AI, RAG and MCP — Real Cases with 3.2x ROI In 2015, the challenge was capturing and storing data. Ten years later, the problem has flipped: companies are…
Big Data 2025: Agentic AI, RAG and MCP — Real Cases with 3.2x ROI In 2015, the challenge was capturing and storing data. Ten years later, the problem has flipped: companies are…
Turning big data into value with AI agents and RAG: how to extract real value in 2025 In June 2015 we published on this very blog that “any business not seriously considering…
Big Data 2025: from volume to actionable intelligence with generative AI In 2015, Eric Schmidt warned that we were generating 5 exabytes every two days. Today, in 2025, the global datasphere exceeds…
Hotel Big Data 2025: AI agents, RAG and real results In 2015, the hospitality sector’s challenge was to “leverage Big Data”. Ten years later, the problem is not a lack of data…
In 2018, the 4 V of Big Data framework (Volume, Variety, Velocity, Veracity) was enough to categorize data challenges. Seven years later, that model has fallen short. Moreover, the arrival of multimodal…
Starting a Data Project in 2026: From the Avalanche to Autonomous AI Agents In June 2015 we published on this very blog an X-ray of two classic scenarios. On one hand, the…
Big Data 2025: From Data Lakes to Autonomous AI Agents In June 2015 we published a post on this very blog titled “What is Big Data?”. The quote from Lisa Arthur in…
Hadoop in the Cloud 2025: Costs, AI and Real Scalability In 2017 we published “10 Reasons to Deploy Hadoop in the Cloud”. Eight years later, the title sounds like technological archaeology. Hadoop…
Hadoop in the Cloud 2025: Costs, AI and Real Scalability In 2017 we published “10 Reasons to Deploy Hadoop in the Cloud”. Eight years later, the title sounds like technological archaeology. Hadoop…
Big Data Architecture 2025: Generative AI, Autonomous Agents and Hybrid Cloud In 2016 we published the first version of this article. Back then, the debate was on-premise vs. cloud and the challenge…