Real-time analytics presents challenges to unlock benefits
Real-time analytics enables organizations with faster decision-making. However, bad data, or a culture that isn’t ready for real-time analytics, can undermine the benefits.
AI
How ChatGPT Can Help and Hinder Data Center Cybersecurity
We explore the benefits and dangers of cybersecurity professionals using AI tools like ChatGPT in the data center space – as well as how they’re already being leveraged by bad actors.
The essential check list for effective data democratization
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.
Top automation pitfalls and how to avoid them
Companies embarking on their automation journeys need to figure out the right process to automate, deal with organizational change, and watch out for security and compliance issues.
4 data quality challenges that hinder data operations
Data quality challenges pose a threat to organizations’ decision-making. Inaccurate, inconsistent, missing and duplicate data poses threats to cultivating trustworthy data sets.
6 dimensions of data quality boost data performance
Generate accurate data analysis and predictions by mastering the six dimensions of data quality — accuracy, consistency, validity, completeness, uniqueness and integrity.
Measuring the business impact of AI
Taking stock of AI ROI is challenging but essential. IT leaders and industry observers lend insights on how to get a clear idea of whether your AI efforts are paying off.
A New Strategy to Address the AI Talent Shortage
Companies struggling to hire new talent are turning to training existing employees in internal “talent factories.”
AI in cybersecurity: Raising the stakes for enterprise defense
Enterprises, governments and other organizations now have access to more powerful weapons in their defensive arsenal with AI – but so do malevolent hackers.
Unlocking the hidden value of dark data
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.
Data lakehouses give enterprises analytics edge
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.
Computer vision is primed for business value
Companies across a range of industries are deploying image- and video-based artificial intelligence to improve and optimize key business processes and products.
9 ways hackers will use machine learning to launch attacks
Machine learning algorithms will improve security solutions, helping human analysts triage threats and close vulnerabilities quicker. But they are also going to help threat actors launch bigger, more complex attacks.
10 key roles for AI success
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.
Traditional BI vs. self-service BI shouldn’t be a choice
Traditional BI vs. self-service BI isn’t a choice organizations need to make, but rather a partnership that requires elements from both to bring effective data use to users.