Tag "AI"

Is Cloud-Native Data Management on Your Government Agency Playlist?

A music playlist for relaxing, working out, or just plain entertainment is essential gear for millions of people. And building that playlist is easier than ever when using one of the multitudes of applications that can help you create that perfect ensemble. These applications are predominantly cloud based and cloud native—they are software as a... more

AI for Data Management: Informatica Announces the Acquisition of GreenBay Technologies

At Informatica, we firmly believe the world of Data 4.0 is here. In this world, trusted data drives digital transformation. Trusted data creates sustainable competitive advantage. Data also carries significant risks and liabilities if best practices around data privacy and compliance are not enforced. But data can be the most valuable compounding asset when managed... more

COVID-19’s Impact on Data Governance and Risk Management Across Financial Services

Managing and monitoring credit, market, liquidity, and operational risk across financial markets was hard enough with ongoing geopolitical tensions, international trade wars, and of course the occasional hurricanes and earthquakes. The current pandemic is forcing chief risk officers and their teams to recalibrate old assumptions and models used to manage and monitor risk. Innovations in... more

AI-Powered Data Management Is the Key to Vaccine Discovery

As pharmaceutical and clinical research organizations around the world race to discover and inoculate the global population with a vaccine for COVID-19, artificial intelligence (AI) will play a key role in ensuring that trustworthy, relevant, and timely drug-discovery data can be used to understand and eradicate this global threat. Drug discovery has traditionally been a... more

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

Master the Art of Data Science With Self-Service Data Preparation

Data preparation is what every AI and machine learning project needs right now. Roughly speaking, data preparation involves cleansing and transforming data before it’s used in analytics. To explain why it’s so important, let’s take a step back to an ancient board game. Go is a popular board game with origins in Asia. The aim... more

Modern Soldiers: Balancing Experience-Centric and Data-Driven Decision Making

From adolescence to adulthood, the ability to make sound decisions is one of the hardest milestones to achieve. We’re faced with decisions every day—everything from what we wear in the morning to the type of breakfast we choose to eat. In research at MIT on the cost-benefit conflict—which involves choosing between options that have both... more