Maria Korolov
Contributing Writer
Maria Korolov has been covering emerging technology and emerging markets for the past twenty years. She has reported from Russia, India, and Afghanistan, and recently returned to the United States after running a news bureau in China for five years
AI makes edge and IoT smarter
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.
AI governance: Reducing risk while reaping rewards
With AI moving from pilots to production, enterprises must establish cross-departmental oversight strategies focused on data quality, compliance, ethics, and more.
Decision intelligence: The new BI
Business intelligence systems and strategies are being augmented with AI and machine learning to provide decision-making context and recommendations across the enterprise.
Organizational learning: Your key to AI success
Instituting formal processes to embrace the learnings of small-scale AI efforts and promulgate them throughout the enterprise is essential to business transformation.
How secure are your AI and machine learning projects?
Artificial intelligence and machine learning bring new vulnerabilities along with their benefits. Here's how experts minimized their risk.
AI center of excellence: A new engine for driving 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 new revenue models.
9 emerging job roles for the future of AI
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.
Remote agile development: Top tips and tools for managing dispersed teams
The coronavirus pandemic has agile teams adjusting to asynchronous remote collaboration. IT leaders who have spearheaded the agile development efforts of far-flung teams share their tips for success.
What is AIOps? Injecting intelligence into IT operations
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 are felt.
AI in retail: Survival depends on getting smart
Machine learning is fast becoming a must-have for retailers looking to stave off disruption, but the barriers to entry — upfront cost and data prep — remain an obstacle for most.
Explainable AI: Bringing trust to business AI adoption
For many organizations, AI remains a mystery not to be trusted in production, thanks to its lack of transparency. But demand, advances, and emerging standards may soon change all that.
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