Features
Features
AI business strategies
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Davenport: AI-based projects should be focused in scope
New AI projects in enterprises should focus on achievable goals rather than try to reinvent business processes or products and services, Tom Davenport says. Continue Reading
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Explainability is no solution to problem of bias in AI
Explainability has been touted as a solution to the problem of biased AI models, but experts say that approach only gets you part of the way to bias-free applications. Continue Reading
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5 trends in AI that shaped 2018
2018 was a big year in the world of AI. Here we look at five of the leading trends in the use of AI to see how they set the stage for what should be further gains next year. Continue Reading
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AI use in healthcare ramps up for app maker Cognoa
Applications of AI in healthcare have been relatively restricted due to regulatory and data challenges, but one startup is finding ways to make AI effective. Continue Reading
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AI in fashion design and retail takes center stage
AI and fashion are a natural pairing as clothing designers and retailers are using technology to monitor what's hot and improve the efficiency of manufacturing and supply chains. Continue Reading
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Countries need national strategy for AI to stay competitive
With the Chinese government funding artificial intelligence at an aggressive pace, the U.S. and other countries are facing substantial pressure to step up their investment. Continue Reading
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AI for accessibility helps people with disabilities
AI for people with disabilities is making a meaningful difference in their ability to navigate the world and participate in all the activities of daily life. Continue Reading
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Business robotics moves off of the manufacturing floor
New uses of robotics are opening up in businesses, as applications for the technology begin to expand beyond its traditional place in manufacturing plants. Continue Reading
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Nations sharpen AI strategies as global competition heats up
The U.S. and China are the leading countries in AI research and development right now, but nations throughout the world are developing strategies to remain competitive. Continue Reading
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Social media and AI beef up personalization in marketing
Enterprises are increasing their use of AI in social media marketing, helping produce more targeted content. As applications evolve, some surprising use cases are emerging. Continue Reading
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The present and future use of AI in healthcare
The use of AI and machine learning in healthcare has already changed the way some clinical and administrative processes are handled, and it could help reinvent how care is provided. Continue Reading
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Use of AI in pharma grows as drug-makers see big benefits
The use of AI in clinical trials, drug discovery and manufacturing is growing and, despite a few barriers, drug companies are expected to continue rolling out the technology. Continue Reading
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AI in policing is controversial but delivers results
The drive toward more predictive policing is only growing stronger as computer vision and other AI tools are put to use. But not everyone is happy with the trend. Continue Reading
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AI in sports helps teams and leagues engage with fans
The use of artificial intelligence in sports industry is a growing trend that is helping leagues and teams engage with fans and improve the quality of in-game officiating. Continue Reading
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RPA strategy takes advantage of fast-growing market
The RPA market is rapidly growing, and it's little wonder why. Using RPA best practices, businesses can deploy RPA quickly and potentially use it to save time and money. Continue Reading
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Music composed by AI breathes new life into video games
AI-generated music could help indie video game developers incorporate another element into procedurally generated worlds, making them more dynamic and lifelike. Continue Reading
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Algorithmic bias top problem enterprises must tackle
No enterprise today would roll out an obviously biased AI tool, but many remain unaware of the risks of unconscious bias in algorithms, which can produce equally dangerous results. Continue Reading
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AI process automation offers benefits, but challenges remain
Enterprises are starting to employ machine learning tools as part of their AI automation strategies, but several key challenges stand in the way of effective usage. Continue Reading
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At Intuit, machine learning enhances products, CTO says
Intuit's machine learning and AI technology are transforming its many financial software products. CTO Tayloe Stansbury discusses what that means for Intuit. Continue Reading
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AI for business operations starts to offer value
Businesses are starting to implement AI in operations to smooth out back-office processes and streamline repetitive tasks that currently take too much time for human workers. Continue Reading
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The threats of AI must be taken seriously to prevent harm
The risks of AI use are growing as the technology becomes more pervasive. Rather than laugh off the threats, businesses should move to mitigate them before they become headaches. Continue Reading
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Addressing the ethical issues of AI is key to effective use
Enterprises must confront the ethical implications of AI use as they increasingly roll out technology that has the potential to reshape how humans interact with machines. Continue Reading
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Combination of blockchain and AI makes models more transparent
Blockchain technology could play an important role in helping enterprises develop more explainable AI applications, something that is frequently lacking today. Continue Reading
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Threats of AI include malicious use against enterprises
As sophisticated tools become easier to use, enterprises need to protect themselves against AI threats to ensure they do not become the victims of malicious attacks. Continue Reading
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AI implementation is a winner-take-all race, analyst says
Your AI strategy should focus on growth rather than efficiency, says McKinsey analyst Jacques Bughin -- advice that enterprises rarely hear when launching projects. Continue Reading
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GDPR regulations put premium on transparent AI
As the EU's GDPR regulations go into effect, enterprises must focus on building transparency in AI applications so that algorithms' decisions can be explained. Continue Reading
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How to keep your implementation of AI free from algorithm bias
When implementing AI, it's important to focus on the quality of training data and model transparency in order to avoid potentially damaging bias in models. Continue Reading
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Humans and AI tools go hand in hand in analytics applications
Companies are keeping data analysts and other workers in the loop with AI applications to check the results generated by automated algorithms for accuracy, relevance and missing info. Continue Reading
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Artificial intelligence in business strategies, uses
SearchEnterpriseAI delivers news, tips and strategic advice on applying artificial intelligence technologies in the enterprise to improve products, services and operations. Continue Reading