Latest articles from CIO magazine

The chances are that most of the data you collect — from human communications to machine logs — is piling up with little plan for…

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…

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…

Enterprises looking to reap the full business benefits of artificial intelligence are turning to MLOps — an emerging set of best practices and tools aimed…

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,…

Adding intelligence and automation to decision-making processes can greatly improve business agility and outcomes. But making the most of decision intelligence takes continual tuning.

Artificially generated data can be used in place of real historic data to train AI models when actual data sets are lacking in quality, volume,…

Enterprise AI is maturing quickly, with companies shifting to business-first AI strategies and AI benefits being sought out across the organization.

Taking a people-centered approach to rolling out artificial intelligence initiatives is the key to success, experts say. Here’s how to ensure your AI efforts are…

Business value, training data, and cultural readiness are essential for AI success. Without all three, traditional solutions are your best bet.

AIOps promises to help companies intelligently manage IT operations, but the road there isn’t always smooth.

Thanks to machine learning, companies can now begin to put the ability to determine the emotional value of communication to work. Here’s how organizations can…

Coupled with artificial intelligence, chatbots are seeing massive growth in use in an expanding array of domains, from customer service to employee interfaces.

Sentiment analysis, which enables companies to determine the emotional value of communications, is now going beyond text analysis to include audio and video.

Organizations seeking to better monitor IT assets are turning to artificial intelligence to get ahead of performance issues and to automate fixes before negative impacts…

CIO–Information architecture ensures content and data is structured, organized, and categorized in an effective and usable way, thereby maximizing the value of your websites and…

CIO–MSPs are increasingly being turned to as strategic outsourcing partners that remotely manage or delivery IT services, thanks to talent and technologies most enterprises lack.

CIO–The talent gap is the No. 1 impediment to AI success. Salesforce.com’s multipronged approach can provide IT leaders with a playbook for finding and upskilling…

CIO–Artificial intelligence holds great business promise, but it takes more than a working model to create scalable, transformative change

CIO–In the hands of business users, low-code and no-code tools can be powerful — and risky. Here’s how IT leaders are setting up guardrails to…

CIO–AI-powered process automation remains piecemeal, but new innovations are arising to fill the gaps, bringing the promise of fully intelligent automation that much closer.

CIO–Pressed by the need to fill skills gaps, organizations are turning to artificial intelligence to transform stagnant training approaches into continually evolving upskilling strategies.

Implementing artificial intelligence at the edge can not only reduce latency and networking costs but also improve security and unlock the power of distributed intelligence.

With AI moving from pilots to production, enterprises must establish cross-departmental oversight strategies focused on data quality, compliance, ethics, and more.

Business intelligence systems and strategies are being augmented with AI and machine learning to provide decision-making context and recommendations across the enterprise.

CIO–Instituting formal processes to embrace the learnings of small-scale AI efforts and promulgate them throughout the enterprise is essential to business transformation.

AI centers of excellence can accelerate AI adoption — and organization-wide transformation — by consolidating talent, standardizing platforms, spreading successes across business lines, and uncovering…

Artificial intelligence is fast proving a business differentiator. Here are the key roles and skills you may soon need to fill for your AI A-team.