Systems | Development | Analytics | API | Testing

Optimizing Supply Chains with Data Streaming and Generative AI

It’s a truism that global supply chains are complex. The process of sourcing raw materials, transforming them into finished products, and distributing them to customers encompasses numerous systems (e.g., ERPs, WMSs, and TMSs). All systems within “the supply chain” are trending in the same direction; they’re aiming to be more efficient, resilient, and agile. Various technological developments have facilitated this directional trend.

The Advanced Guide to Unlocking Geospatial Insights in Snowflake

Over the last three geospatial-centric blog posts, we’ve covered the basics of what geospatial data is, how it works in the broader world of data and how it specifically works in Snowflake based on our native support for GEOGRAPHY, GEOMETRY and H3. Those articles are great for dipping your toe in, getting a feel for the water and maybe even wading into the shallow end of the pool. But there is so much more you can do with geospatial data in your Snowflake account!

insightsoftware Featured in the 2024 Gartner Magic Quadrant for Financial Planning Software

We’re thrilled to announce that insightsoftware has been recognized in the Gartner Magic Quadrant for Financial Planning Software for the second year in a row! This continued recognition highlights our unwavering commitment to helping CFOs and their teams tackle budgeting and planning challenges with confidence.

Fiplana Product Flyover

Financial planning should be seamless and insightful, yet many organizations find themselves trapped in a cycle of inefficiency and frustration, dealing with disconnected systems, data silos, and cumbersome manual processes. How do you change that? Meet Fiplana from insightsoftware, the ideal financial planning solution for organizations using Qlik.

Introducing Analyst Studio: Where analysts become business catalysts

With the ever-growing focus on GenAI, many legacy BI tools have failed to invest in the analyst. By focusing solely on AI experiences for business teams, they’ve alienated data teams, relegating analysts to disjointed tools and data silos. When in reality, businesses still need people who can help decision-makers assess messy data to diagnose and evaluate business problems. In fact, in this age of AI, we need analysts more now than ever.

EP 6: To Prevent the Artificial Charlatan, Data Management Has to be Fun

The AI explosion has led to non-stop hype cycles as the technology continues to develop. But AI is only as good as the data behind it. The threat of lousy data is bad AI. Andrew Brust, Founder and CEO of Blue Badge Insights, joins The AI Forecast to discuss the AI hype–and how to prevent what he calls an “artificial Charlatan” of bad AI. He emphasizes the dependent relationship between data and AI and the former’s role in the success of the latter. Specifically, he addresses the data governance conundrum, and why in order for data technology to be successful, it has to be fun.

Event-Driven AI: Building a Research Assistant with Kafka and Flink

This post was originally published on Medium on Nov. 20, 2024. The rise of agentic AI has fueled excitement around agents that autonomously perform tasks, make recommendations, and execute complex workflows blending AI with traditional computing. But creating such agents in real-world, product-driven environments presents challenges that go beyond the AI itself.