Tag "Machine Learning"

How to Infuse Artificial Intelligence into Cloud Data Management

The Impact of AI Last year, the global impact of the coronavirus helped fuel the adoption of artificial intelligence (AI) and machine learning (ML) in almost every industry as organizations accelerated their digital transformation journeys. The pandemic has brought considerable changes in many areas, like faster drug delivery, remote working, efficient supply chain management, virtual... more

Why data needs to be hands-free

Data is being democratized, extending the audience for business analytics by sharing access with more enterprise users. In theory, that should mean more people can bring insights to the surface and uncover new opportunities to create customer value. Advances like data orchestration and data lakes have made broader access easier – but many organizations still... 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

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

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