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Diverse talent pools and data sets can help solve bias in AI
Bringing historically underrepresented employees into critical parts of the design process while creating an AI model can reduce or eliminate bias in that model.
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The power and limitations of enterprise AI
A panel at CES 2021, held virtually this year, discusses the areas in which modern-day AI and automation shine, and where they still struggle.
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White House issues guiding principles for AI regulations
While the recommendations for AI regulation in the White House memo are loose, they appear to show the government is beginning to embrace AI, and could be a start toward oversight.
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A look at AI infrastructure and enterprise AI uses
The promise of enterprise AI is built on old ETL technologies, and it relies on an AI infrastructure effectively integrating and processing loads of data.
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AI careers Manage
4 AI career path trajectories for IT professionals
As the desire for AI and machine learning in-house skills skyrocket, those looking to break into the market have a variety of career path options, including AI architect and BI developer.
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Big data and machine learning Evaluate
KDD in data mining assists data prep for machine learning
While data scientists are often familiar with data mining, the deeper knowledge discovery in databases (KDD) procedure can help prepare data to train machine learning algorithms.
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AI case studies News
AI in transportation reduces employee workloads
By using intelligent automation, a shipping company trimmed employee workloads, enabling employees to shift from document processing to customer service.
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Neural networks and deep learning Get Started
A basic design pattern for image recognition
Learn how a design pattern based on convolutional neural networks can be adapted to create a visual graphics generator model for image recognition.
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AI technologies News
Google launches a suite of retail AI products
Google released AI products for online retailers as the tech giant increases its focus on industry verticals. The new products are designed for small and large retailers.
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AI business strategies News
Diverse talent pools and data sets can help solve bias in AI
Bringing historically underrepresented employees into critical parts of the design process while creating an AI model can reduce or eliminate bias in that model.
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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) +
Careers in artificial intelligence
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Enterprise applications of AI (2) +
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Machine learning platforms (3) +
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Evaluate
View All EvaluateA look at AI infrastructure and enterprise AI uses
The promise of enterprise AI is built on old ETL technologies, and it relies on an AI infrastructure effectively integrating and processing loads of data.
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Problem Solve
Data quality issues that work against successful AI
The quality of your data affects how well your AI and machine learning models will operate. Getting ahead of these nine data issues will poise organizations for successful AI models.
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What happens when an AI model is overfit
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How to troubleshoot 8 common autoencoder limitations
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Expanding explainable AI examples key for the industry
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Finding the balance between edge AI vs. cloud AI
Centralized cloud resources allow AI to continuously improve while edge AI allows for real-time decision-making and larger models. The best approach combines them.
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Trustworthy AI guidelines for enterprises
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How speech recognition can help deaf people
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Why employees must have foundational AI knowledge
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E-Handbook | August 2020
Machine learning and bias concerns weigh on data scientists
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E-Handbook | November 2019
Data visualization process yields 360 AI-driven analytics view
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E-Handbook | October 2019
Neural network applications in business run wide, fast and deep
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E-Handbook | July 2019
Machine learning platform architecture demands deep analysis
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Buyer's Handbook | June 2019
Pinpoint the right RPA products to advance your organization
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Enterprise Artificial Intelligence Basics
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responsible AI
Responsible AI is a governance framework that documents how a specific organization is addressing the challenges around artificial intelligence (AI) from both an ethical and legal point of view. Resolving ambiguity for where responsibility lies if ...
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predictive modeling
Predictive modeling, also called predictive analytics, is a mathematical process that seeks to predict future events or outcomes by analyzing patterns that are likely to forecast future results.
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AI
Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems.
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AI technologies
Google launches a suite of retail AI products
Google released AI products for online retailers as the tech giant increases its focus on industry verticals. The new products are designed for small and large retailers.
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AI business strategies
White House issues guiding principles for AI regulations
While the recommendations for AI regulation in the White House memo are loose, they appear to show the government is beginning to embrace AI, and could be a start toward oversight.
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AI business strategies
Doubts about Trump video show how hard deepfakes are to detect
Some Twitter users insist that a recent video of President Trump admitting his defeat in the election is a deepfake, although there's no proof. Deepfakes are difficult to detect.