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

Decision intelligence: The new BI

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

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?

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 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.

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.

AI is poised to radically transform software development

AI is poised to radically transform software development

New tools and cutting-edge projects show how machine learning and advanced analytics may soon revolutionize how software is designed, tested, and deployed.

6 tips for working with AI vendors

6 tips for working with AI vendors

For most organizations, DIY artificial intelligence is out of reach. Here’s how to cut through the hype and create business value with off-the-shelf AI.

AI technology: When to build, when to buy

AI technology: When to build, when to buy

Deciding whether to buy off-the-shelf AI or build your own AI-based business solutions is a complex equation based on available talent, business needs, desired outcomes, lock-in comfort and a rapidly evolving market.

Hoe AI een revolutie teweegbrengt in de financiële dienstverlening

Financiële dienstverleners helpen het voortouw te nemen bij de invoering van kunstmatige intelligentie

How AI is revolutionizing financial services

How AI is revolutionizing financial services

From customer service to risk management, artificial intelligence is ushering in the next financial revolution — as long as compliance issues can be addressed.

8 key roles of successful AI projects

8 key roles of successful AI projects

As enterprises further develop artificial intelligence projects, they are finding that some roles are essential to success. But the right talent can be hard to find.

9 biggest hurdles to AI adoption

9 biggest hurdles to AI adoption

Early adopters are beginning to reap real business results from artificial intelligence implementations. But rolling out an AI initiative isn’t without its challenges.

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