Systems | Development | Analytics | API | Testing

Ep 70 | AI Risk & Cybersecurity: Theresa Payton on the New Threat Landscape

As AI adoption accelerates, so do the risks that come with it. So what happens when AI puts cyberattack capabilities into everyone’s hands? In this episode of The AI Forecast, Paul Muller is joined by Theresa Payton to break down the new reality of AI-powered threats. Drawing on decades of experience as the first female White House CIO, CEO of Fortalice Solutions, and the author of four books on privacy and big data, Theresa explains why AI has fundamentally changed the rules of cybersecurity and why most organizations are still playing catch-up.

Unlock 100% of Your Data: Cloudera's Data-Anywhere Approach

Discover how Cloudera fits into your data strategy, rather than forcing you to change your strategy to fit a specific technology. In this video, we explore Cloudera’s "data anywhere" approach that operates wherever your data resides—whether in a cloud data center or at the edge. Unlike other platforms, Cloudera fits into your data strategy. That means we're helping you unlock and control 100% of your data.

Database Schema Design: Why Your Customers Can't Query Your Data (and How to Fix It)

If you’re building a SaaS platform or data product, it’s important to consider what BI tools your customers are already using. They want to connect Tableau, Power BI, Logi Symphony, or their own analytics stack directly to your data. They want SQL access, and to query your platform the way they query everything else. But expectations don’t quite meet reality once as tickets start flooding in.

On-Prem and Private Cloud Deployment Models for Analytics

Leadership keeps asking for more dashboards, faster answers, and tighter compliance. The data team hears a different message: do more with the same staff (or, fewer). That is where the difficulty evaluating on-prem and private cloud deployment models for corporate data analytics and visualization solutions starts to bite.

Why Enterprise AI Can Get the Query Right and the Answer Wrong

Most teams deploying AI agents on their data are watching the wrong things. They check whether the query ran and whether the number looks plausible. When both checks pass, the agent gets credit for a correct answer, and the output flows into dashboards, decisions, and the next agent in the chain. There's a gap between those two checks and actual correctness, and it's where the expensive mistakes live. Getting to a correct answer requires more than a formally valid calculation.

SpotDevOps: Building an AI-Native SDLC Platform at ThoughtSpot

4,096 Tasks completed 89.8% success rate 302 Active users 4× growth Jan→Mar 86 Agents deployed 73 built by engineers 72 days In production 15,896 messages Modern engineering teams face a familiar paradox: the bigger the system, the more time engineers spend managing the work rather than doing it. Bugs pile up faster than they can be triaged. PRs wait days for review. On-call engineers spend hours reproducing what someone already debugged six months ago.

Get work done in one place with Snowflake Intelligence

See how Snowflake Intelligence transforms everyday work with a personal work agent built on your enterprise data. In this demo, a sales leader goes from insights to action in minutes—analyzing accounts, preparing meeting briefs, collaborating via Slack, and uncovering root causes with Deep Research—all in one seamless, governed experience.

From Insights to Action with Your Personal Work Agent

Stop switching tools. Start getting work done. Snowflake Intelligence is a personal work agent that helps you analyze data, generate insights, and take action—all in one place. Ask questions, automate workflows, and connect to the tools you already use, all within Snowflake’s governed platform. Learn how teams are using Snowflake Intelligence to move faster, collaborate better, and work at the speed of AI.