Tag "ML"

MLOps: Operationalize Your Machine Learning Models

Realize the Benefits of AI with the Right Framework In the current economic environment, organizations are focused on KPIs and metrics that matter today and in the near term. They are adopting analytics in the cloud, many by building cloud lakehouses, which blend the best of both worlds in cloud data warehouses and data lakes,... more

7 Habits of Highly Effective Artificial Intelligence (AI) and Machine Learning (ML) Prototypers

Modern machine learning (ML) practitioners are accustomed to living the agile way: building success incrementally, failing quickly, and going through that “feature extraction > feature selection > modelling > evaluation” loop many, many times. A successful ML solution isn’t luck: it’s all about taking a small step, learning as much as possible from it, and... more

Don’t You Just Love being in Control?!

Earlier this year, Alex Tim and I delivered a workshop at the UX STRAT conference in Amsterdam. We developed our “AI Design for Enterprise Products” workshop for UX designers across industries, and centered around our experience working on CLAIRE, Informatica’s cutting edge AI technology featured in many of the company’s products. We spent the majority... more

Data Governance and Ethics in Today’s AI-Driven Financial Industry

Society is creating and consuming more data than ever, and this tsunami of data promises market, customer and operational insights which financial institutions of all shapes and sizes across the globe must be able to leverage to remain competitive. After all, their customers expect personalized experiences, their employees require self-service access to trusted and timely... more

Clarify Yourself, AI

Algorithmic decision making has become prevalent in systems such as online search, social media, productivity software, and autonomous vehicles. While these intelligent systems powered by AI offer tremendous benefits, the algorithmic decision making behind them often feels like a mystery. Without giving much thought to it, I used to blindly follow my friends’ activities on... more

The Rise of Big Data Engineering in 2020: Cloud, AI & Analytics Success

What is data engineering? Data engineering enables data users across the enterprise with clean, quality data they can trust, so they can drive better business insights and actions. Data engineering is the result of technology disruption in what we used to call big data. Overall, the industry is moving toward data management environments that deliver... more

A(I) Magical Leap to Trust

No two days are ever the same for our UX team, but not a single day passes without at least one discussion about AI-enabled experiences, whether we’re comparing the advantages of using a chatbot as a personal assistant for our customers, prototyping what happens when we add CLAIRE -driven recommendations to enhance users’ daily tasks,... more