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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March 18, 2020
18
Mar'20
Social media platforms ramp up automated content curation
As the new coronavirus continues to disrupt the workforce, social media companies are increasingly using machine learning to automatically detect and remove harmful content.
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March 06, 2020
06
Mar'20
Data Science Central co-founder talks AI, data science trends
In a Q&A, Vincent Granville, executive data scientist and co-founder of Data Science Central, discusses how AI has changed the data science field and the ways in which it will continue to do so.
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March 05, 2020
05
Mar'20
Advanced AI in financial services boosts fraud detection, efficiency
Financial firms plan to invest more into R&D on AI and plan to deploy advanced AI, like deep learning, within the next two years, according to a new survey.
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March 02, 2020
02
Mar'20
The pope, with Microsoft and IBM, calls for AI ethics
The Pontifical Academy for Life has issued new guidelines for ethical AI that call for artificial intelligence technology to be explainable, trusted and secure.
AI business strategies Get Started
Bring yourself up to speed with our introductory content
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Science fiction vs. reality: A robotics industry overview
Robots have made their way into industrial, manufacturing and military settings, but the robots of science fiction remain a long-term goal rather than a reality. Continue Reading
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How and why are our devices listening to us?
Consumers are utilizing digital voice assistants and smartphones but may not realize how frequently companies listen in and sift through all the data these devices create. Continue Reading
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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
Evaluate AI business strategies Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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The future of facial recognition after the Clearview AI data breach
The company that controversially scrapes data from social media sites for law enforcement clients announced a data breach. What does it mean for the future of facial recognition? Continue Reading
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How stock market prediction using AI impacts the trading floor
Robo-advisors and stock monitoring bots are changing the way traders and investors take on the stock market. Continue Reading
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Despite risks, deepfake AI technology has enterprise potential
The use of GANs to duplicate data has been portrayed as one of AI's biggest potential risks -- but enterprises can also use deepfake technology for positive content production. Continue Reading
Manage AI business strategies
Learn to apply best practices and optimize your operations.
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How to identify projects that create AI business value
When AI projects lead with technology, they rarely have a business impact. Instead, business leaders should target projects to make a meaningful improvement in processes. Continue Reading
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AI and chatbots: Conversational app platforms are maturing
Chatbots have long been reliant on pre-written responses to common questions. With the incorporation of AI, however, chatbots can take an important step forward. Continue Reading
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The future state of machine learning needs improved frameworks
Utilizing machine learning in the collection and processing of data would most likely lead to more widespread adoption of AI based on the technology. 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