Systems | Development | Analytics | API | Testing

2026 Data & AI Predictions: What Trends Will Shape the Future?

We recently released our 2026 Confluent Predictions Report, outlining bold ideas and trends that are shaping the future of data, AI, and real-time systems. And stay tuned for an upcoming episode of the Life Is But a Stream web show that will air early in the new year. Join the conversation as host Joseph Morais sits down with Sanjeev Mohan, independent analyst at SanjMo, for an exciting roundtable discussion breaking down those predictions. Are they forecasts? Are they trends? And which ones will matter most as we move forward into 2026?

How SpotterCode Supercharges ThoughtSpot Embeds for Developers

Developers, ditch the documentation dive! SpotterCode is your 10x coding partner for embedded intelligence. ThoughtSpot's Nicolas Rentz shows how SpotterCode leverages the ThoughtSpot SDK docs and code examples to auto-generate production-ready code directly in your IDE. Accelerate your path to market with clean, seamless integration.

Compliance Horizon 2026: When Regulatory Change Moves Faster Than Your Disclosure Process

Every compliance team knows regulatory change is constant, but 2026 is shaping up to be a perfect storm. With SEC climate rules about to take effect, CSRD deadlines accelerating, and FASB updating requirements every few months, reporting expectations are moving faster than most infrastructures can keep up. You finalized your 10-K template in January. By March, FASB changed two requirements. Now you’re rebuilding everything again.

Meet the New BI A-Team

Talk to anyone who works with data, and you’ll hear a familiar story: Data engineers are still bogged down cleaning, prepping, and untangling semantic models. Analysts are churning out dashboard after dashboard, with little time left for real analysis. Developers are hand-coding embedded analytics, turning every new feature into a months-long project. And business users are stuck in line, waiting for answers.

7 RAG Evaluation Tools You Must Know

RAG evaluation measures how effectively a system retrieves relevant context and uses it to generate grounded answers. These evaluations detect hallucinations, measure retrieval precision and reveal where pipelines degrade after model updates or knowledge-base changes. Engineers rely on these tools to maintain output quality, prevent regressions, validate prompt and architecture choices and ensure that production answers stay aligned with trusted sources.

Operationalizing Agentic AI with Hitachi iQ Studio and NVIDIA Nemotron 3

NVIDIA just announced NVIDIA Nemotron 3, a new family of open models, datasets, and libraries designed to support long-context reasoning and multi-step AI workflows. With the ability to work across enterprise ecosystems, this family of models empowers enterprises to build and deploy reliable multi-agent systems at scale, offering an important set of technologies at a pivotal moment in AI evolution.

Ep 53 | Women Leaders in Tech: Cloudera's Mary Wells on Building Confidence and Community in Tech

Cloudera Chief Marketing Officer Mary Wells helped spearhead the launch of Cloudera’s Women Leaders in Technology initiative, which recently celebrated its one-year anniversary. To honor this milestone, Mary joins this special edition of The AI Forecast to reflect on the impact of this program so far. Mary Wells and host Paul Muller embark on an inspiring conversation on leadership, allyship, and navigating one of the most transformative moments in technology.