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AI, analytics in logistics platform uses ThoughtSpot
GlobalTranz, a logistics company, uses AI and analytics in logistics to predict driver behaviors and plan shipping routes that will keep the shippers and the drivers happy.
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GAN technology is more than its negative reputation
GANs' ability to create realistic images and deepfakes have caused industry concern. But, if you dig beyond fear, GANs have practical applications that are overwhelmingly good.
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School district uses ManagedMethods AI cybersecurity system
Using AI-driven cybersecurity from ManagedMethods, a Georgia school district blocks external threats and identifies potentially harmful language in student documents.
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How to put machine learning into production
Once a machine learning model is trained, developers need to operationalize it. This turns out to be a significant challenge for many enterprises.
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We designed this expert guide to help you better understand all of the considerations for building and maintaining the infrastructure and engine that support the initiatives. Plus, learn about the products and players, like Amazon, Google, IBM, and 16 more to help you make the best buying decision.
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AI careers Problem Solve
Inside the rise of data science employee training
The industrywide data scientist shortage is leading companies like Schneider Electric to look internally for employees with a technical background and invest in training them.
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Big data and machine learning News
Amax launches BrainMax servers for AI and ML
The Amax BrainMax Series servers feature the latest Nvidia RTX GPU accelerator cards for intensive GPU and AI applications and deep learning initiatives.
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AI case studies News
School district uses ManagedMethods AI cybersecurity system
Using AI-driven cybersecurity from ManagedMethods, a Georgia school district blocks external threats and identifies potentially harmful language in student documents.
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Neural networks and deep learning Evaluate
GAN technology is more than its negative reputation
GANs' ability to create realistic images and deepfakes have caused industry concern. But, if you dig beyond fear, GANs have practical applications that are overwhelmingly good.
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AI technologies News
Advances come as conversational agents grow more popular
As enterprises rely more on conversational agents to power customer service efforts, tech vendors such as IBM and Google steadily develop new methods of training language models.
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AI business strategies News
Google parent Alphabet’s DeepMind loses millions annually
Alphabet's DeepMind company loses millions of dollars each year, but it appears the research firm’s AI advances are so valuable that Alphabet finds it worthwhile anyway.
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Do you think the generative adversarial network method is a more promising technique for machine learning?
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Evaluate
GAN technology is more than its negative reputation
GANs' ability to create realistic images and deepfakes have caused industry concern. But, if you dig beyond fear, GANs have practical applications that are overwhelmingly good.
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How to put machine learning into production
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Start by identifying a clear objective for your bot
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Wayfair breaks down images using machine learning
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Problem Solve
Experts give solutions to common data science problems
Most data science projects end up facing similar problems, such as lack of robustness and data quality issues. In this feature, experts offer tips on how to overcome these challenges.
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Chatbots need personality, flexibility to persevere
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3 AI use cases that have been successful at Mastercard
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Inside the rise of data science employee training
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Peering into the evolving role of data scientists
The relationship between data scientists and companies using AI is evolving rapidly, shifting from a focus on trained professionals to experienced employees with automated tools.
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GPUs expand beyond deep learning for analytics uses
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AI boosts Agile culture by streamlining collaboration
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Open development supports more intelligent chatbots
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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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E-Handbook | May 2019
Computer vision AI looks beyond the narrow into the mainstream
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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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Enterprise Artificial Intelligence Basics
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Get Started
Machine learning platform architecture demands deep analysis
This handbook offers advice on choosing machine learning platforms and using them to get accurate and meaningful information from analytics applications.
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Get Started
Today's AI thrives on pattern matching and machine learning
Pattern matching may sound like a simple idea, but it's being used to create some highly advanced AI tools, powering everything from image recognition to natural language applications.
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Get Started
Computer vision AI looks beyond the narrow into the mainstream
This handbook looks at computer vision in the enterprise, with examples of business applications and advice on deploying systems that incorporate the AI technology.
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Vendor Resources
- AI for CX: Practical Investments, Proven Return –White Paper
- Power AI Demo –Product Demo
- IBM PowerAI - Deep Learning Unleashed on IBM Power Systems Servers –eBook
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AI technologies
Advances come as conversational agents grow more popular
As enterprises rely more on conversational agents to power customer service efforts, tech vendors such as IBM and Google steadily develop new methods of training language models.
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Machine learning modeling
IBM AI toolkit gives humans insight into AI models
IBM's open source AI Explainability 360 toolkit packages algorithms and training examples to help humans better understand the decision-making process of machine learning models.
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AI business strategies
Google parent Alphabet’s DeepMind loses millions annually
Alphabet's DeepMind company loses millions of dollars each year, but it appears the research firm’s AI advances are so valuable that Alphabet finds it worthwhile anyway.