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

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AI center of excellence: A new engine for driving business transformation

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

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

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

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

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

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.

Rethinking software development in the AI era

Rethinking software development in the AI era

Data is fast replacing code as the foundation of software development. Here’s how leading organizations anticipate processes and tools transforming as developers navigate this paradigm shift.

6 reasons why AI projects fail

6 reasons why AI projects fail

Data issues are among the chief reasons why AI projects fall short of expectations. But if you can learn from the mistakes and commit to the long term, your AI efforts are more likely to pay off.

AI’s top use cases today

AI’s top use cases today

Enterprises are undertaking AI pilots and putting artificial intelligence into production. Here’s where leading organizations are placing their bets — and seeing early results.

Anatomy of an enterprise-scale AI strategy

Anatomy of an enterprise-scale AI strategy

Looking to move beyond point solutions and proofs of concept? Here’s what it takes to develop to a holistic AI strategy honed for business results.

RPA and AI: Business process automation gets smart

RPA and AI: Business process automation gets smart

Organizations seeking to reap the full benefits of robotic process automation are beginning to see artificial intelligence as a key technology for optimizing their process flow.

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