Only 7% of enterprises are AI-ready - here's why
The real barrier to AI isn’t talent or tools — it’s broken data infrastructure.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
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.
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.
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.
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.
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.
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.
Part 3 - Input Parameters - Integrate Qlik Automate with Qlik Cloud Analytics
This video first demonstrates what is possible when integrating Qlik Automate with Qlik Cloud Analytics.
Webinar Reporting Made Easy: How to Combine Zoom + HubSpot Data for Clear Insights
Struggling to report on webinar performance in a way that actually makes sense to your exec team? Ali Schwanke from @SimpleStrat built a clean, custom dashboard that merges Zoom and HubSpot data—giving her full visibility into webinar ROI. In this video, you'll see how she tracks attendance, first-touch conversions, lead source attribution, and more over time. By blending registration, engagement, and survey data from Zoom with lifecycle insights from HubSpot, she reveals which webinars drive results—and why.
Track Sales Velocity by Source in HubSpot (Using This Smart Dashboard Setup)
Want to know which marketing channels are driving your fastest and most valuable deals? In this video, Alex Lee, Sr. Business Analyst at Intellect, walks through a powerful HubSpot + Databox dashboard setup that maps sales velocity over time—tracing today's closed-won deals back to lead generation efforts from 60–90 days ago. By offsetting timelines for new leads, discovery calls, and closed deals, you’ll get a more accurate view of pipeline health and velocity. Plus, learn how segmenting by lead source uncovers which channels are producing your highest-converting leads the fastest.