SearchEnterpriseAI
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Problem Solve
Leveraging massive data complicates enterprise AI use
Many enterprises think their AI projects should start with massive amounts of data. But clean data for machine learning should be their first step toward AI.
Manage
Predictive analytics gets better with AI
Enterprises have long seen the value of predictive analytics, but now that AI is starting to influence forecasting tools, the benefits may start to go even deeper.
News
Scarcity of data scientists doesn't end hopes for AI
Enterprises are having a hard time hiring data scientists, who are scarce and high-priced. But as edge devices get smarter, they may not need them as badly.
Manage
Digitization of paper records boosts data extraction
Document digitization allows for the automatic extraction of data through rapid bot technology, as companies aim for a cost-effective, eco-friendly paperless workplace.
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AI careers News
Strong analytics practice is key to AI success
Avis' former director of BI and analytics talks about the kind of analytics capabilities and business problems you need to have before launching your next AI project.
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Big data and machine learning Get Started
Refined data adds value to the machine learning process
The types of data being collected for analytics use are increasing, but traditional structured data is a good match for machine learning. Gartner's Svetlana Sicular explains why.
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AI case studies Get Started
Big banks, fintech deploy RPA while community banks lag
RPA in banking is setting its sights on fintech and flexible banking to compete with traditional banking. Community banks still see hurdles despite potential to wield RPA.
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Neural networks and deep learning Evaluate
Interpretability has broad benefits for AI projects
Making AI models more interpretable has a wide range of benefits and shouldn't just be thought of as a compliance exercise, experts at the H2O World conference said.
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AI technologies News
Tool offers easy AI-skill design for BPA, RPA platforms
The Abbyy Vantage platform aims to enable customers to infuse intelligence skills and automation into their content-based platforms, including RPA and BPA software.
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AI business strategies Problem Solve
Leveraging massive data complicates enterprise AI use
Many enterprises think their AI projects should start with massive amounts of data. But clean data for machine learning should be their first step toward AI.
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AI business strategies (2) +
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AI infrastructure (3) +
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AI technologies (4) +
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Artificial intelligence platforms (3) +
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Enterprise applications of AI (2) +
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View all Enterprise Artificial Intelligence questions and answers
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Kathleen Walch asks:
Do you see emerging AI practices influencing traditional predictive analytics? Why or why not?
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Kassidy Kelley asks:
Do you think intelligent devices will compensate for the lack of data scientists?
Find Solutions For Your Project
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Evaluate
Federated learning distributes model training process
Training deep learning models puts a massive strain on enterprise infrastructure, but federated learning, which trains models on endpoint devices, could lessen some of the demand.
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Bringing the wisdom of crowds to AI broadens knowledge
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Human-like AI quest drives general AI development efforts
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Few people understand how algorithms affect their lives
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Problem Solve
Leveraging massive data complicates enterprise AI use
Many enterprises think their AI projects should start with massive amounts of data. But clean data for machine learning should be their first step toward AI.
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Using DataRobot for March Madness bracket predictions
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GDPR enforcement will reduce unfettered AI research
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Fraud prevention AI takes on bots
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Manage
Predictive analytics gets better with AI
Enterprises have long seen the value of predictive analytics, but now that AI is starting to influence forecasting tools, the benefits may start to go even deeper.
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Digitization of paper records boosts data extraction
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Bias in AI algorithms is a common problem
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AI for consumer products optimizes customer engagement
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E-Handbook | March 2019
Data science and machine learning platforms advance analytics
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Buyer's Guide | March 2019
Best machine learning platforms comparison and buyer's guide
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E-Handbook | July 2018
Data science skills spawn success in AI, big data analytics
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360 Guide | July 2017
AI technologies affect all corners of business, IT
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Enterprise Artificial Intelligence Basics
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Get Started
The journey to ethical AI needs intentional strategies
AI can often reflect the biases and limits of its human developers. Experts say diversity, review boards and a strong AI ethics framework will lead the way toward ethical AI.
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Get Started
Dating apps hold lessons for AI collaboration tools
Enterprise AI collaboration is turning to an unlikely source for inspiration: dating apps that have long used machine-learning based personalization and communication.
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Get Started
Eno from Capital One offers insights, security, says VP
Eno from Capital One is an AI assistant that can give customers real-time banking updates and alerts to possible fraud attempts. In this Q&A, Capital One's VP of conversational AI goes over the basics of Eno.
Multimedia
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Evaluate
7 popular AI use cases today
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Problem Solve
AI and job loss not a concern for some workers
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Evaluate
AI apps look to escape from the lab
Vendor Resources
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News
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AI hardware
Scarcity of data scientists doesn't end hopes for AI
Enterprises are having a hard time hiring data scientists, who are scarce and high-priced. But as edge devices get smarter, they may not need them as badly.
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Artificial intelligence platforms
Splice Machine shows ML Manager at Spark + AI Summit 2019
Splice Machine's AI management software ML Manager, shown at Spark + AI Summit 2019, enables users to update their machine learning models with up-to-date data from varied sources.
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AI in the cloud
Google AI Platform looks to unify, simplify AI creation
Google's newly unveiled AI Platform offers AI developers a collaborative environment to test, train and deploy machine learning and deep learning models.
SearchEnterpriseAI Definitions
- swarm intelligence
- intelligent agent
- assistive technology (adaptive technology)
- generative adversarial network (GAN)
- AI governance
- machine learning bias (algorithm bias or AI bias)
- artificial ignorance
- AI (artificial intelligence)