Data Analytics In Healthcare: How to Ensure HIPAA Compliance with Countly

In certain sectors, such as healthcare data is not just valuable—it's SACRED. The same goes for data analytics in the healthcare sector, where the stakes are incredibly high. Healthcare data analytics consists of the systematic analysis of any health-related data that can be used not only to improve patient care, but also to find a way to improve healthcare ops and make informed decisions based on the analysis of said data.

Analytics vs. Reporting: How Are They Different and Why You Should Focus on Both

Analytics and reporting can help businesses transform data into actionable insights, identify customer behavior patterns, measure each department’s performance, and improve operational efficiency. And this is just the tip of the iceberg. However, while these two terms are often used interchangeably, they represent different approaches to understanding and communicating data.

From Static to Adaptive: Why Agentic AI is the Future of Enterprise Software

Over the first half of this year, I’ve had the unique privilege of traveling across EMEA, APAC, and the US, leading our global Agentic AI workshop series. From London to Singapore to Mumbai, I’ve had a front-row seat to how enterprises—across industries and continents—are rethinking what software can be in an age of intelligent systems. And I can confidently say: the era of Agentic AI has arrived.

How Confluent Helps You Deliver New Customer Experiences and Act on Insights Faster

What’s your AI strategy? How are you making your service as easy to use as those from major cloud companies? How quickly can you roll out new features to customers? These are common questions technology executives face on a daily basis. They must accelerate innovation across the board––from deploying new features and making decisions to generating revenue and saving money.

Why Hosted Apache Kafka Leaves You Holding the Bag

Many teams begin their data streaming journey through their cloud provider, drawn to the simplicity of the one‑click “Create Kafka Cluster” button in their cloud console. It’s fast, feels integrated, and promises to “just work”—abstracting away all the operational tasks that only get more complicated in the cloud.

Ep 31 | Reimagining Business Intelligence: From Dashboards to Decision Engines w/ John Santaferraro

The next era of business intelligence is here. Traditional dashboards and static reports give way to AI-driven systems built for faster, more informed decision-making. John Santaferraro, CEO and founder of Ferraro Consulting and host of The Digital Analyst podcast, joins The AI Forecast to share how enterprises can modernize BI to unlock real business value. Because in today’s data-rich world, turning insight into action still depends on a clear ‘story’ that helps decision-makers understand what to do next.

Orchestrating Multi-Agent Workflows with MCP & A2A - MLOps Live #39 with Google Cloud

In this webinar we explored cutting-edge tools enabling scalable AI workflows. Discover how MCP (Model Context Protocol) and A2A (Agent-to-Agent communication layer) empower teams to design, build, and manage multi-agent workflows with precision. Key Takeaways.

Stop Building Useless Dashboards: How to Do Sales Attribution Right in HubSpot

Most dashboards suck. Not because the data’s wrong (though it often is)—but because they’re not built to answer real business questions. Crispy Barnett at Supered (@GetSupered) shows you how to report like a rockstar inside HubSpot, starting with sales attribution that actually drives decisions.

How to Run QBRs Like a Pro: One Dashboard, Full Customer Journey

Quarterly Business Reviews don’t have to mean juggling six different reports. Cameron Collins from RevPartners @revpartners1459 shares how he uses Databox to deliver executive-level QBRs that showcase the entire customer journey—from first web visit to closed-won revenue. By combining cross-object metrics like average deal size, funnel conversion rates, and revenue trends into one cohesive dashboard, Cameron helps leadership teams quickly identify bottlenecks and drive smarter, data-backed decisions.

Fix Your Sales Forecasting: How Databox Uncovered Real Win Rates

Tired of inaccurate forecasts and one-size-fits-all coaching? Tory Ferrall from Databox shares how her team revamped their sales forecasting model to drive better results—using Databox to calculate real win rates based on actual deal stage performance. By tracking when deals enter each stage and analyzing their true conversion likelihood, the team identified gaps that HubSpot’s default probabilities missed. The result? More precise forecasting and deeper insights for rep-level coaching.