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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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.
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November 19, 2019
19
Nov'19
IBM AI executive talks AI adoption in the enterprise
AI use in enterprises is generally low, largely because the technology is not understood, and organizations have problems with data, trust and lack of skills.
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October 25, 2019
25
Oct'19
New AI laws could impact how HR operates
Federal, state and local governments are turning its attention to the use of AI in all aspects of life. This includes how HR is using automated decision support systems.
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October 10, 2019
10
Oct'19
As more push for explainable AI, companies add features
As businesses demand more explainable AI, vendors such as IBM and DarwinAI are introducing new features to help break down for business users how AI systems work.
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Ethical data mining and analytics elude privacy, usage snafus
This handbook examines the ethics of data mining and offers advice on missteps to avoid when mining and analyzing customer data to help drive marketing campaigns. Continue Reading
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An in-depth look at IoT and AI
Discover the benefits of AI and IoT, best practices for deploying the combo at the network edge and how blockchain might be the secure connection between the two techs. Continue Reading
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AI in IoT elevates data analysis to the next level
As IoT devices voraciously gather data, many companies are unprepared to take it all in. Deploying AI in IoT systems can make a profound difference when sorting through data. 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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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
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How the top open source AI software drives innovation
In the world of AI, open source software is driving most of the innovation. But with vendor tools largely sidelined, what does this mean for things like security and technical support? Continue Reading
Manage AI business strategies
Learn to apply best practices and optimize your operations.
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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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How to achieve explainability in AI models
At its core, AI is a complex modeling process with layers of information. In order to be able to explain the algorithm's decision-making process, start with its input data. Continue Reading
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Tailored content heads machine learning in digital marketing
Consumers are no longer engaged with content alone -- companies need to create a robust digital marketing strategy personalized to each consumer. Machine learning is here to help. 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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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
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How to solve the black box AI problem through transparency
Ethical AI black box problems complicate user trust in the decision making of algorithms. As AI looks to the future, experts urge developers to take a glass box approach. Continue Reading