Emerging Tech: Page
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Brand Experience Team/TechTarget
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.
By Kathleen Walch • Jan. 31, 2020 -
Brand Experience Team/TechTarget
RPA in payroll automates finance processes for NYP hospital
NewYork-Presbyterian, one of the largest hospitals in the U.S., looked to WorkFusion to automate some payroll processes, including filling out missed punch forms.
By Mark Labbe • Jan. 30, 2020 -
Brand Experience Team/TechTarget
Comparing semi-supervised machine learning vs. one-shot learning
Machine learning models require massive amounts of data -- labeled or unlabeled. Two new approaches are hoping to curtail the need for large data sets and overarching human interference.
By Ron Schmelzer • Jan. 30, 2020 -
Brand Experience Team/TechTarget
Natural language processing in action
What do NLP benchmarks like GLUE and SQuAD mean for developers?
AI models for various language understanding tasks have been dramatically improved due to the rise in scale and scope of NLP data sets and have set the benchmark for other models.
By George Lawton • Jan. 28, 2020 -
Brand Experience Team/TechTarget
Eye transplant nonprofit turns to supply chain modeling
Eversight, a nonprofit that recovers and transports eye tissue, turned to a supply chain management software system to better predict supply routes.
By Mark Labbe • Jan. 23, 2020 -
Brand Experience Team/TechTarget
GumGum uses machine learning annotation service Figure Eight
Computer vision vendor GumGum gets its training data from Figure Eight, a machine learning training data vendor. Figure Eight uses crowdsourcing to annotate training data.
By Mark Labbe • Jan. 22, 2020 -
Brand Experience Team/TechTarget
Patience is pivotal for the autonomous vehicle future
The fatal collision between an Uber ATG vehicle and a pedestrian was a reminder that autonomous vehicles are not ready and that a difficult technological hill remains.
By Joseph Carew • Jan. 22, 2020 -
Brand Experience Team/TechTarget
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.
By Mark Labbe, Shaun Sutner • Jan. 6, 2020 -
Brand Experience Team/TechTarget
Machine learning ops to lead AI in 2020
The increased usage of pre-trained models, machine learning ops coming to the fore and increased transparency are all poised to lead the new year in AI.
By Kathleen Walch • Dec. 17, 2019 -
Brand Experience Team/TechTarget
DataRobot acquisition of Paxata adds data prep to AI platform
By buying data prep vendor Paxata, DataRobot plans to fill out its machine learning and AI platform with tools to automate data prep processes and provide an underlying data fabric.
By Mark Labbe • Dec. 12, 2019 -
Brand Experience Team/TechTarget
A year of AI events points to AI predictions for 2020
A thoughtful reflection on the most important AI technology news of 2019 as well as a look to what 2020 may have in store for the world of AI.
By Ron Schmelzer • Dec. 10, 2019 -
Brand Experience Team/TechTarget
Data visualization in machine learning boosts data scientist analytics
Data scientists offer practical insights into the role of visualization tools in building, exploring, deploying and monitoring their machine learning models.
By Maria Korolov • Nov. 18, 2019 -
Brand Experience Team/TechTarget
Using small data sets for machine learning models sees growth
While massive data sets allow for easy training, developers are using new techniques to mine and transfer data that allows for training on limited labeled information.
By George Lawton • Nov. 13, 2019 -
Brand Experience Team/TechTarget
Microsoft Power Platform gets AI and RPA updates
At Microsoft Ignite, the tech giant released new updates to ease RPA and AI building across its Power Platform, as well as new capabilities for Cortana within Microsoft 365.
By Mark Labbe • Nov. 5, 2019 -
Brand Experience Team/TechTarget
Expert Advice
How to create a data set for machine learning with limited data
A shortage of data for machine learning training sets can halt a company's AI development in its tracks. Turning to external sources and hidden data can solve the problem.
By Kassidy Kelley • Oct. 30, 2019 -
Brand Experience Team/TechTarget
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?
By Ron Schmelzer • Oct. 17, 2019 -
Brand Experience Team/TechTarget
A chemical company simplifies workflows using RPA
Software from Automation Anywhere, an RPA vendor, was easy for Eastman Chemical Company employees to use at a desktop level to automatically handle daily tasks.
By Mark Labbe • Oct. 11, 2019 -
Brand Experience Team/TechTarget
John Deere’s software and AI journey
John Deere began a software journey more than a decade ago, hiring technology teams and developing new technologies, including AI, to help drive innovation in its machinery.
By Mark Labbe • Sept. 30, 2019 -
Brand Experience Team/TechTarget
How automated machine learning tools pave the way to AI
Every enterprise is trying to get to machine learning and, ultimately, AI, but not every business has the level of skill in-house to make it happen. Is automated machine learning the answer for them?
By Kassidy Kelley • Sept. 27, 2019 -
Brand Experience Team/TechTarget
How to solve deep learning challenges through interoperability
The challenges of training and overseeing advanced neural networks is leading to an implementation bottleneck in deep learning technology.
By Scott Robinson • Aug. 28, 2019 -
Brand Experience Team/TechTarget
Key considerations for operationalizing machine learning
Once a machine learning model is trained, developers need to operationalize it. This turns out to be a significant challenge for many enterprises.
By Ron Schmelzer • Aug. 15, 2019 -
Brand Experience Team/TechTarget
Despite losses, DeepMind technologies are worth it to Alphabet
Alphabet's DeepMind company loses millions of dollars each year, but it appears the research firm’s AI advances are so valuable that Alphabet finds it worthwhile anyway.
By Mark Labbe • Aug. 9, 2019 -
Brand Experience Team/TechTarget
Causal deep learning teaches AI to ask why
Most AI runs on pattern recognition, but as any high school student will tell you, correlation is not causation. Researchers are now looking at ways to help AI fathom this deeper level.
By George Lawton • Aug. 9, 2019 -
Brand Experience Team/TechTarget
Reinforcement learning and deep learning pairing pushes AI limits
The pairing of reinforcement and deep learning is enabling researchers to push the boundaries of what AI can do and could help contribute to advanced applications.
By George Lawton • July 29, 2019 -
Brand Experience Team/TechTarget
More to machine learning platforms than meets the AI
To reach full analytics potential, machine learning platforms powered by AI must provide scalability, handle multiple models, integrate with data sources and be cloud-friendly.
By Maria Korolov • July 24, 2019
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