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Biden sets stage for national AI strategy
Biden's focus on AI includes funding research and development, manufacturing chips in the U.S. and preparing a workforce to use AI tools.
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IBM Think 2021 news, trends and analysis
The role of technologies like AI and the cloud in business is changing. This year's IBM Think conference seeks to help enterprises understand how to capitalize on these tools.
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IBM Watson Orchestrate poised to take tasks workers hate most
IBM Watson Orchestrate is the latest technology from a major vendor that promises to save employees from highly repetitive job responsibilities.
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DataRobot looks to enterprise AI coders with Zepl acquisition
By acquiring cloud data science and analytics platform vendor Zepl, DataRobot gives data scientists a cloud-native, self-service notebook to write tasks and custom models.
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AI careers Get Started
11 data science skills for machine learning and AI
As companies realize the power of data, they're tasked with finding data science practitioners with AI and ML skill sets to help them use the data to make better business decisions.
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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 News
New DataRobot CEO sees bright AI future for the vendor
New CEO Dan Wright discusses how DataRobot can stay competitive in a crowded AI marketplace, new markets for the vendor, and how DataRobot has tackled the pandemic.
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AI technologies Evaluate
Moving beyond NLP to make chatbots smarter
Machine reasoning could help chatbots better understand context, which is crucial to understanding human emotions and formulating emotionally relevant responses.
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AI business strategies News
Biden sets stage for national AI strategy
Biden's focus on AI includes funding research and development, manufacturing chips in the U.S. and preparing a workforce to use AI tools.
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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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Data scientists vs. machine learning engineers
The positions of data scientist and machine learning engineer are in high demand and are important for enterprises that want to make use of their data and use AI.
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The future of data science jobs
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Moving beyond NLP to make chatbots smarter
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5 reasons NLP for chatbots improves performance
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Problem Solve
Addressing 3 infrastructure issues that challenge AI adoption
One of the biggest problems enterprises run into when adopting AI infrastructure is using a development lifecycle that doesn't work when building and deploying AI models.
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How data sets influence ethical AI
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Data quality issues that work against successful AI
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What happens when an AI model is overfit
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Manage
How to hire data scientists
Enterprises tend to want data scientists who have a drive to continue their training, through peer training or online platforms, to keep up with ongoing changes in the field.
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How to detect bias in existing AI algorithms
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How to build a machine learning model in 7 steps
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Unsupervised machine learning: Dealing with unknown data
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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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2 data-wrangling techniques for better machine learning
Before data can be usefully inputted into algorithms, it must first be prepared. Learn two of the techniques that do the job and make machine learning work.
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Get Started
11 data science skills for machine learning and AI
As companies realize the power of data, they're tasked with finding data science practitioners with AI and ML skill sets to help them use the data to make better business decisions.
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Get Started
ML engineer
A machine learning engineer (ML engineer) is a person who focuses on researching, building and designing self-running AI systems that automate predictive models.
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Vendor Resources
- Blockchain: Powering Next Generation Digital Twin –White Paper
- Making Data-Driven Investment Decisions –White Paper
- Enterprise AI for Business Preparedness –White Paper
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Artificial intelligence platforms
IBM Watson Orchestrate poised to take tasks workers hate most
IBM Watson Orchestrate is the latest technology from a major vendor that promises to save employees from highly repetitive job responsibilities.
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AI business strategies
DataRobot looks to enterprise AI coders with Zepl acquisition
By acquiring cloud data science and analytics platform vendor Zepl, DataRobot gives data scientists a cloud-native, self-service notebook to write tasks and custom models.
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AI technologies
Panasonic to buy Blue Yonder in $7.1 billion deal
Panasonic's acquisition of Blue Yonder aims to build out Panasonic's software business, but how well the traditional hardware vendor can adapt remains to be seen.