AI business strategies
Artificial intelligence software is changing how enterprises conduct business. Machine learning supports data-driven decisions, customer service chatbots follow up on leads, robots in manufacturing boost productivity -- the list goes on. Get advice for building and implementing AI business strategies.
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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.
AI business strategies News
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January 08, 2020
08
Jan'20
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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January 06, 2020
06
Jan'20
U.S. restricts exports of geospatial AI software
The Trump administration's move to limit export of AI-based geospatial imaging software extends U.S. restrictions on technology that foreign countries could use to develop weapons systems.
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December 30, 2019
30
Dec'19
AWS AI tools focus on developers
AWS sells many AI products, tools and services aimed at developers, including several for AI newcomers, such as DeepRacer, DeepLens and DeepComposer.
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December 03, 2019
03
Dec'19
Cornell researchers call for AI transparency in automated hiring
Researchers at Cornell University want vendors to disclose how automated hiring systems are making hiring recommendations. They say it's the only way to know they're fair.
AI business strategies Get Started
Bring yourself up to speed with our introductory content
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The peaks and pitfalls of hyper-personalization marketing
As consumers begin to revolt against unlimited personal data collection and usage, the longevity of hyper-personalized communication may be cut short. Continue Reading
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artificial intelligence
Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. Continue Reading
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UX defines chasm between explainable vs. interpretable AI
From deep learning to simple code, all algorithms should be transparent. The frameworks of AI interpretability and explainability aim to make machine learning understandable to humans. Continue Reading
Evaluate AI business strategies Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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Companies focused on building sustainable AI in 2020
Fewer companies are deploying AI enterprise-wide in 2020 because of universal underestimation of investments and transformation required to have a rounded AI strategy. Continue Reading
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How to build a chatbot with personality and not alienate users
Adding personality to a chatbot can push it toward the uncanny valley and raises ethical questions. But enterprises can make their bots more engaging, while avoiding these hurdles. Continue Reading
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How Getty Images reduces bias in AI algorithms to avoid harm
In applications from internal job recruiting to law enforcement technology, AI bias is a widespread issue. Here's what enterprises can do to reduce bias in training and deployment. Continue Reading
Manage AI business strategies
Learn to apply best practices and optimize your operations.
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5 mistakes that disrupt data science best practices
Through asking questions and understanding the real-world issues other parts of the company face, data scientists polish their enterprise contribution. Continue Reading
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The complex nature of regulating AI
Regulating AI is a difficult task because the technology changes rapidly. Governments must be able to employ preventative regulation to prevent any misuse. Continue Reading
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Engage employees for successful enterprise AI strategy creation
Existing employees are in the best position to suggest process improvements through automation, and executives need to utilize the employee experience to drive AI strategy. Continue Reading
Problem Solve AI business strategies Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
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Supervise data and open the black box to avoid AI failures
As AI blooms, marketers and vendors are quick to highlight easy positive use cases. But implementation can -- and has -- gone wrong in cases that serve as warnings for developers. Continue Reading
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Governance, compliance, ethics in data mining: Separate but equal
In the ethical mining and analysis of data, governance, compliance and ethics are mistakenly taken as one in the same. Data managers need to be aware of the critical differences. Continue Reading
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How to overcome the data scientist shortage
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. Continue Reading