To become data-driven, companies need a democratization strategy that’s equal parts disciplined and diverse. Data collection, selecting a platform and employee training are just the beginning.
The chances are that most of the data you collect — from human communications to machine logs — is piling up with little plan for actualizing its potential. Good governance and AI can help.
Blending the structure of data warehouses and the flexibility of data lakes, data lakehouses are proving to be versatile tools for making the most of any data you want to collect.
Companies across a range of industries are deploying image- and video-based artificial intelligence to improve and optimize key business processes and products.
To maximize the business value of artificial intelligence, AI teams require a diverse range of skills and roles, from data scientists to domain experts to strategic decision-makers.
Enterprises looking to reap the full business benefits of artificial intelligence are turning to MLOps — an emerging set of best practices and tools aimed at operationalizing AI.
Factors inherent to artificial intelligence and its implementation can have dire ramifications for your company if ethics and governance aren’t baked into your AI strategy.
With attrition an increasingly challenging issue, companies are turning to chatbots and machine learning to augment HR strategies for gauging employee sentiment, identifying flight risks, and strengthening career support.