Interpretable Machine Learning and How to Build Trust in our Models
Machine learning models can undoubtedly help humans make more informed decisions, with an increasing number of use cases among different industries. By feeding the algorithms with large amounts of data, they are able to identify patterns and make predictions accordingly.
A Quick Guide to Data Monetization Strategies
Netflix’s success with its series “House of Cards” and AI-powered ways to reduce energy consumption at Google server farms by 40% have a shared origin. Both cases are perfect examples of companies monetizing their data.
How Natural Language Processing Supports Financial Services
Financial services are traditionally a data-heavy industry full of transactional data, user data and textual data.
How cloud computing benefits data science
Cloud computing is essentially the backbone of data science. But what exactly makes this technology so critical for data scientists and the AI solutions they build?
Meet Hex Tiles: The Next Gen Tiling System for Large-Scale Spatial Analytics
Earlier this month, Foursquare introduced its new Hex Tiles technology - a next generation tiling system that gives data scientists the ability to easily unify diverse spatial datasets, conduct on-the-fly analytics, and quickly visualize and explore big data on a planetary scale. What’s more, this.
Data analytics at the edge: benefits and challenges
Data analytics at the edge is the trend of connecting autonomous vehicles, wearable devices and automated oil rigs that are operating with no human assistance. The benefits are huge, yet so are the challenges.
Graph for All Million Dollar Challenge to tackle global challenges
Have you ever wondered how the world’s top search engines and social media platforms are able to make such accurate recommendations for search terms? There’s a graph database behind the scenes, and that’s just the beginning. Graph technology sits behind many machine learning and artificial.
AI and ML Applications in the Legal Industry
Artificial intelligence (AI) is an exciting emerging technology — and under this is machine learning (ML), which is an application of AI that utilizes data and algorithms to imitate how humans learn without human assistance. AI and ML are both already being employed by various industries, from.
The role that AI and machine learning plays in cybersecurity
Cybersecurity and AI are both complex enough on their own, but what are the possibilities and challenges when these two fields collide?
5 Winning Tactics for Data Literacy
Although digitalization resulted in generating more data than our previous generations, Covid has highlighted the need to understand data at a rapid pace. Whether it is hospitals trying to staff based on local virus outbreak or companies trying to sustain business due to global supply chain.
