Artificial Intelligence
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What is sentiment analysis? Using NLP and ML to extract meaning
Sentiment analysis, which enables companies to determine the emotional value of communications, is now going beyond text analysis to include audio and video.
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.
Carhartt ups its sales prospects with AI
The apparel company has developed an AI-driven tool that helps its go-to-market divisions take a coordinated data-driven approach to expanding their footprint in the marketplace.
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Fall 2021: Digital’s tipping point
Learn how IT leaders in award-winning organizations are reimagining products and services for a new era of customer and employee engagement.
Digital twins: 4 success stories
These four companies are using digital twins to monitor operations, plan predictive maintenance, improve customer service, and optimize their supply chains.
AWS and Qualtrics offer new ways to gauge customer sentiment
Amazon Web Services has created a new API to help companies ascertain how their customers feel, while Qualtrics bought a competitor to do it.
UPS delivers resilience, flexibility with predictive analytics
The logistics titan has created a business intelligence platform that uses advanced analytics and machine learning to support forecasting, operations visibility, optimization, and reporting.
Papa John's serves up AI for more efficient ordering
The quick-service chain rolls out AI-assisted call center software to help humans focus more on making and delivering its pizzas.
How Salesforce finds and upskills AI talent
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 talent where they may not have thought to look.
Top 10 AIOps platforms
Infrastructure monitoring tools injected with artificial intelligence and machine learning algorithms can anticipate and analyze events and alerts, keeping your enterprise stack humming.
Unilever CIO: Digital literacy is the most important new capability to develop
Unilever North America CIO Alessandro Ventura has created a digital literacy curriculum to drive tech innovation.
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AI in perspective: The risks, along with AI’s role to improve defenses
As AI deployments proliferate for better decision making, they also present risks across a large spectrum – from job displacement and socioeconomic inequality, to automated bias, to data poisoning, privacy violations, and AI threats...
Discover transforms data pipeline for AI success
Seeking to streamline the processes required to fully leverage machine learning and real-time data insights, Discover Financial Services has created a cloud-native data fabric that automates much of the work.
Best practices to embrace an ‘MLOps’ mindset
Most AI projects do not make it to production due to a communications gap. MLOps can help close the gap.
Analytics and AI helps Experian help its customers
The consumer credit reporting company is leveraging its data and data scientists to create new services for its customers.
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How Mastercard’s decision management platform delivers business value
With 2.5 billion consumer accounts, Mastercard processes 75 billion transactions per year, thereby creating one of the best data sets about commerce in the world. To protect consumers and combat fraud, they created a decision...
What a successful AI team really looks like
Forget the tech giants’ rosters of data science PhDs. As AI moves into the enterprise, blended teams with business skills become more important for driving business value.
8 secrets of successful AI projects
Artificial intelligence holds great business promise, but it takes more than a working model to create scalable, transformative change
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