AI Technologies & Platforms: Page
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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.
By Joseph Carew • Dec. 31, 2019 -
How GE uses a ‘Humble AI’ approach to manufacturing
GE executive Colin Parris explains why a deliberate approach to deploying AI is needed when dealing with products that cost hundreds of millions of dollars to make.
By David Needle • Dec. 9, 2019 -
SageMaker Studio makes model building, monitoring easier
New SageMaker tools from AWS to open up machine learning models by making it easier for non-expert developers make, run, monitor and debug machine learning models.
By Mark Labbe • Dec. 4, 2019 -
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.
By Scott Robinson • Nov. 26, 2019 -
AI in advertising captures audiences with personalized ads
Using AI technology, AdGreetz generates millions of personalized ads over the web and social media for its client Flipkart, an e-commerce vendor based in India.
By Mark Labbe • Nov. 21, 2019 -
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.
By David Teich • Nov. 20, 2019 -
Medline streamlines workflow by automating accounts payable
By using Abbyy for OCR and UiPath for RPA, Medline is automating accounts payable. This speeds up the filing of the 2,000 invoices the healthcare distributor receives daily.
By Mark Labbe • Nov. 14, 2019 -
New FICO AI products aim for secure digital identities
Two new FICO products, FICO Identity Proofing and the FICO Authentication Suite, aim to use AI to help keep users' digital identities and logins secure.
By Mark Labbe • Nov. 8, 2019 -
Building a better conversational AI assistant requires emotion
Industry after industry is seeing benefits from chatbot implementation, but customers and developers are looking toward a future of more connected, intelligent conversational agents.
By Kassidy Kelley • Oct. 31, 2019 -
The importance of AI for fraud prevention
As fraudsters become increasingly more professional and technologically advanced, financial organizations need to rely on products that use AI for to prevent fraud.
By Mark Labbe • Oct. 30, 2019 -
Brands must allay worries for AI in transportation to take hold
The personal mobility market is turning to emotional analysis and AI to negate fear and trepidation around emerging vehicle technology and the future of transportation.
By Kassidy Kelley • Oct. 23, 2019 -
Human-AI collaboration produces top results
Humans and machines have different -- and often complementary -- strengths and weaknesses. That's why we're not seeing automation leading to mass job losses, at least for now.
By David Teich • Oct. 3, 2019 -
AI and humans need each other
Sometimes, fully automating a system can lead to problems. AI and people need to work together to handle workflows, instead of leaving it all up to a system.
By Mark Labbe • Sept. 26, 2019 -
Cambridge Consultants demos show uses of AI
At a demo event, Cambridge Consultants highlighted some of the applications of AI with a system that can count TB cells in a sputum sample and a system that can fix image distortion.
By Mark Labbe • Sept. 25, 2019 -
Full benefits of voice assistant tech yet to be realized
Voice assistant technology is advancing rapidly, thanks to substantial vendor investment. But a new benchmark report reveals the most popular assistants still leave much to be desired.
By Ron Schmelzer • Sept. 13, 2019 -
U.S. spends more on AI as AI in China continues to grow
Research and development of AI in China continue to grow. Meanwhile, the U.S. plans to up its spending on non-defense AI projects by close to $1 billion in 2020.
By Mark Labbe • Sept. 12, 2019 -
After fine, YouTube AI to help flag content for children
YouTube AI will help flag videos that contain content for children following a settlement with the FTC and the New York attorney general over mishandling of children's data.
By Mark Labbe • Sept. 6, 2019 -
The use of technology in education has pros and cons
Vendors continue to develop AI in education applications and technologies as students see benefits in using technology in the classrooms and when doing their homework.
By Mark Labbe • Aug. 26, 2019 -
With ThoughtSpot, GlobalTranz makes AI in logistics platform
GlobalTranz, a logistics company, uses AI and analytics in logistics to predict driver behaviors and plan shipping routes that will keep the shippers and the drivers happy.
By Mark Labbe • Aug. 21, 2019 -
Bibb County School District cybersecurity efforts use AI
Using AI-driven cybersecurity from ManagedMethods, a Georgia school district blocks external threats and identifies potentially harmful language in student documents.
By Mark Labbe • Aug. 16, 2019 -
IBM, Google report advances in conversational AI training
As enterprises rely more on conversational agents to power customer service efforts, tech vendors such as IBM and Google steadily develop new methods of training language models.
By Mark Labbe • Aug. 15, 2019 -
Natural language processing in action
Wayfair takes a dip into NLP image processing technology
At Wayfair, using computer vision and NLP to understand the meaning behind images and searches is the key to customer recommendation, satisfaction and easy substitutability.
By Kassidy Kelley • Aug. 13, 2019 -
The future of data science and AI points to automatic tools
The relationship between data scientists and companies using AI is evolving rapidly, shifting from a focus on trained professionals to experienced employees with automated tools.
By Kathleen Walch • Aug. 8, 2019 -
AI for retailers is progressing
AI in retail adoption has been relatively slow, but it's starting to pick up as retailers see the benefits of AI technologies and the realities of e-commerce competition.
By Mark Labbe • Aug. 2, 2019 -
machine-to-machine (M2M)
Machine-to-machine, or M2M, is a broad label that can be used to describe any technology that enables networked devices to exchange information and perform actions without the manual assistance of humans.
By Sharon Shea • Aug. 2, 2019