Features
Features
AI technologies
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AI and augmented reality blur lines between virtual and reality
Using AI with augmented reality and virtual reality in industries as varied as gaming and conversational systems can enhance the already impressive technologies. Continue Reading
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AI and DevOps team up in remote work model
Communication and network security are increasingly difficult in DevOps teams as the workforce goes digital. Using AI and machine learning helps companies adjust to the remote work model. Continue Reading
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AI in digital transformation vital for enterprises
Without using AI, enterprises will not be able to compete effectively, according to the CEO of Box. Companies need to infuse AI into their digital transformation efforts now. Continue Reading
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Are giant AI chips the future of AI hardware?
Giant AI chips like the Cerebras WSE are dazzlingly fast and could transform AI models, but how soon is the question for CIOs. Experts mull the merits of small vs. big AI chips. Continue Reading
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Neuro-symbolic AI emerges as powerful new approach
The unification of two antagonistic approaches in AI is seen as an important milestone in the evolution of AI. Read about the efforts to combine symbolic reasoning and deep learning by the field's leading experts. Continue Reading
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AI helping higher education during the pandemic
By using AI and analytics, higher education schools can gauge how their students are faring at scale during the coronavirus pandemic. Continue Reading
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AI and edge computing security
While boasting benefits such as reduced latency, edge computing can increase a company's vulnerability. Ensuring security is crucial to getting the most out of the technology. Continue Reading
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Can the future of voice assistants include enterprise use?
Voice assistants haven't had the success that companies originally expected. AI and machine learning could go a long way to boost this technology. Continue Reading
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4 explainable AI techniques for machine learning 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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5 deep learning model training tips
Deep learning model training requires not only the right amount of data, but the right type of data. Enterprises must be inventive and careful when training their models. Continue Reading
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Text search tool makes finding documents easier
Using a visually appealing approach, Keeper.fyi enables users to search text documents, images, and graphs and charts quickly and efficiently. Continue Reading
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How far are we from artificial general intelligence?
Developers and researchers are currently debating the extent to which artificial general intelligence needs to mimic the human brain. Explore the two schools of thought. Continue Reading
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City of Knoxville deploys a web and SMS chatbot
By using a chatbot from text messaging vendor Quiq, the city of Knoxville, Tenn. can give its residents information on the coronavirus, the 2020 census, and the city's social services. Continue Reading
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AI and RPA are here to stay
The coronavirus pandemic has caused enterprises to rely more on AI technologies as they are forced to lay off employees or temporarily close their offices. Continue Reading
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Using AI in AML fights fraud while protecting privacy
Money laundering and fraud remain a risk for financial institutions, but AI can act as a useful tool against a constantly evolving financial enemy. Continue Reading
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Data center energy usage combated by AI efficiency
Though often forgotten by the general public, data centers account for 1% of the world's energy consumption. Explore what brought about data centers and how AI can be used to help mitigate their presence. Continue Reading
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AI in mining takes root in the industry
Executives from data science vendors Kespry and Descartes Labs discuss the importance of AI in the mining industry, a sector that is still fairly new to AI technologies. Continue Reading
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Using automated machine learning for AI in insurance
Using dotData, an automated machine learning vendor, one of the largest insurance firms in Japan built out an AI platform that provides a personalized experience to customers. Continue Reading
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RPA adoption trends point to broadening use cases
RPA is frequently discussed, but here we sort out the potential of this technology -- and the limiting factors that prevent it from living up to the hype. 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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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. Continue Reading
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The state of AI defined by global adoption and regulation
Cognilytica reports on AI adoption by both countries and companies across the globe, as well as the former's overall strategies and regulation frameworks. Continue Reading
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The AI accelerator chip can make AI accessible to all
Specialized AI chips released by companies like Amazon, Intel and Google tackle model training efficiently and generally make AI solutions more accessible. Continue Reading
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Edge computing use cases led by autonomous cars and coffee bars
Edge computing can decrease latency times dramatically and has found its place in autonomous vehicles, manufacturing plants and retail. Continue Reading
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Customer experience chatbot provides answers
Upwork has slowly been rolling out a customer experience chatbot service from vendor Ada, which it uses in conjunction with Zendesk to help provide customers with support. Continue Reading
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Forest fire sensors and AI help detect fires in Chile
Entel Ocean uses DataRobot's automated machine learning platform, as well as IoT sensors, to automatically detect forest fires in Chile. The platform can detect fires faster than manual counterparts. Continue Reading
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Merging DevOps and machine learning requires restructuring
Companies that are restructuring in order to merge their traditional DevOps teams with their machine learning efforts to aid with accessibility need to include voices from multiple teams. Continue Reading
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Employee AI readiness is fairly low
Enterprise employees are largely lacking in AI skills, and enterprises need to work to reskill or upskill employees to improve their skills and help reduce AI job loss fears. Continue Reading
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Social media marketing vendor uses sentiment analysis
Falcon.io, a social media marketing vendor, turned to AI vendor Lexalytics to add automatic social media sentiment analysis capabilities to its platform. Continue Reading
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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. Continue Reading
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AI in hiring gets companies more talent, faster
Through processes like automated candidate sourcing and candidate rediscovery, AI sifts through many resumes to find those most suited to a position. Continue Reading
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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. Continue Reading
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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. Continue Reading
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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. Continue Reading
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AI in e-commerce helps product sales
EBay uses AI to power tools and services it built in-house to attract and retain users, such as automatic translation, image recognition and photo cleanup. Continue Reading
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Hair salon uses front desk AI to boost appointments
A hair salon in Florida uses conversational AI to automatically engage clients over text. The bot answers questions and schedules appointments without human input. Continue Reading
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The uses of AI in medical imaging
Medical imaging is being deployed with the assistance of AI in order to reduce the strain on medical professionals and hopefully improve patient care. Continue Reading
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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. 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
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The complex nature of regulating AI
Regulating AI is a difficult task because the technology changes rapidly. Governments must be able to employ preventative regulation to prevent any misuse. Continue Reading
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UX defines chasm between explainable vs. interpretable AI
From deep learning to simple code, all algorithms should be transparent. The frameworks of AI interpretability and explainability aim to make machine learning understandable to humans. Continue Reading
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AI vendors to watch in 2020 and beyond
The past 10 years have seen a surge of new AI vendors, and the trend isn't likely to end anytime soon, as investors continue to pour money into artificial intelligence. Continue Reading
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AI trends 2020 outlook: More automation, explainability
Top AI trends for 2020 are increased automation to extend traditional RPA, deeper explainable AI with more natural language capacity, and better chips for AI on the edge. Continue Reading
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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. Continue Reading
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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. Continue Reading
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Vendor 3PM uses AI and analytics to prevent Black Friday fraud
Using AI, analytics and Google Cloud tools, e-commerce intelligence vendor 3PM Solutions helps identify and take down counterfeit products for major e-commerce players. Continue Reading
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How to build a neural network from the ground floor
Deep learning is powering the development of AI. To build your own neural network, start by understanding the basics: how neural networks learn, correlate and stack with data. Continue Reading
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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. Continue Reading
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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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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. Continue Reading
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Training data in facial recognition use cases reveals bias
Applications of facial recognition technology show incredible promise in law enforcement and personal privacy, but the risks are holding enterprises back from adoption. Continue Reading
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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. 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
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3 intelligent process automation use cases and how they work
Enterprises are pursuing intelligent process automation to take their digital transformation and RPA applications to the next level. Here's a look at three use cases. Continue Reading
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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. Continue Reading
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Deep learning and neural networks gain commercial footing
Deep learning and neural networks are picking up steam in applications like self-driving cars, radiology image processing, supply chain monitoring and cybersecurity threat detection. Continue Reading
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Government AI strategy includes tech transfer to private sector
The Department of Energy's chief commercialization officer works with the DoE's national laboratories on transferring AI and other technologies to the private sector. Continue Reading
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AI in content management revolutionizes unstructured data
Managing content and data can take business process from unrefined to streamlined. Enterprises can slowly apply technologies to climb the ladder of cognitive content intelligence. Continue Reading
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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. Continue Reading
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Is artificial general intelligence possible in our lifetime?
Artificial general intelligence aims to create a wide-reaching, common-sense AI that behaves in a human fashion, but researchers and experts are questioning its plausibility. Continue Reading
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Collaborative robots' safety stalls enterprise implementation
Cobots are promising big gains, especially in enterprises utilizing manual labor. However, due to a number of safety concerns, human workers are still at risk. Continue Reading
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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. Continue Reading
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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. Continue Reading
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Use of AI in business requires education, understanding
AI adoption requires business leaders to have a clear understanding of the technology and its capabilities, as well as how AI can help automate and aid specific functions. Continue Reading
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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. Continue Reading
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Consumer goods company Unilever uses Google AI for marketing
Using Google Cloud products, including Google's Vision API and Natural Language API, Unilever creates innovative and personalized social media marketing campaigns. Continue Reading
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3 GAN use cases that showcase their positive potential
GANs' ability to create realistic images and deepfakes have caused industry concern. But, if you dig beyond fear, GANs have practical applications that are overwhelmingly good. Continue Reading
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Chatbots in customer service find success with focused goals
Chatbots can be a great adjunct to customer service, but a successful rollout requires careful planning, flexibility and clear objectives. Continue Reading
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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. Continue Reading
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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. Continue Reading
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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. Continue Reading
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AI in law enforcement is growing, but needs work
AI for police includes numerous different analytics, machine learning and natural language processing technologies, including facial recognition and automated transcription tools. Continue Reading
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Analyst, author talks enterprise AI expectations
The author of the upcoming book about enterprise AI talks about realistic AI deployment, dispelling some of the AI hype myths that can be harmful to enterprises. Continue Reading
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AI for digital marketing heavily used in the gaming industry
AI in gaming has evolved beyond automating character and fictional world development. Gaming companies are now using AI to better market to existing and potential players. Continue Reading
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AI in financial services helps speed consumer interaction
By using AI in finance, financial organizations are able to speed processes that otherwise would require more manual input from employees or consumers. Continue Reading
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Automated transcription services for adaptive applications
NLP technologies have advanced in recent years. Using them, startups have been able to create automatic transcription software for adaptive applications. Continue Reading
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Consider these 12 RPA software vendors for deployment
RPA technology can help companies successfully automate their tasks and processes if they can sift through the options to determine the right system for their enterprise. Continue Reading
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Pushing past chatbot challenges will secure their longevity
For chatbots to remain in enterprise futures, developers and data scientists need to get flexible. From open source to intelligent sharing, chatbot collaboration will boost benefits. Continue Reading
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Natural language processing drives conversational AI trends
Since the first conversational interfaces, users have desired human-like conversation. Now, AI sentiment analysis, emotion and unique generation are bringing us one step closer. Continue Reading
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The future scope of chatbots begins with addressing flaws
Chatbots are hot software in the enterprise, but to maintain longevity and relevance, developers need to take a look at the barriers to entry, interface options and NLP issues. Continue Reading
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Successful retail robots improve the augmented workforce
The future of AI in the workplace relies on the successful integration of humans and bots. Retail use cases for cobots point to customer engagement and labor tasks. Continue Reading
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AI in pharma: Pfizer team tries Vyasa deep learning platform
To help automatically categorize drug particle shapes, a Pfizer research team is experimenting with Vyasa, a deep learning platform for the life sciences. Continue Reading
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How data privacy and marketing coexist when influencing the public
The author of a new book on the intersection of advertising and marketing with AI and data privacy talks about influencing the public with technology. Continue Reading
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How pattern matching in machine learning powers AI
Pattern matching may sound like a simple idea, but it's being used to create some highly advanced AI tools, powering everything from image recognition to natural language applications. Continue Reading
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Applications of autonomous robots lead in the enterprise
In enterprise AI, bot technology is leading the charge. Seamless integration and process streamlining are initial benefits, but the true profit lies in what comes next -- auto-AI. Continue Reading
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Identify the best RPA tools using these points of consideration
A successful RPA implementation depends on selecting the proper tool. Learn about the different capabilities and other points of consideration when looking at the options. Continue Reading
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How a chatbot sales platform helps King Kong on Broadway
Using an intelligent ticketing agent from vendor Broadw.ai, the Broadway production of 'King Kong' can better manage its brand while driving up ticket sales. Continue Reading
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Deep learning recognition use cases grow as tech matures
As deep learning image and voice recognition technology improves, enterprises are finding novel ways to apply the technology to sharpen and improve their operations. Continue Reading
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Learn the benefits of RPA and the drawbacks by industry
RPA is a hot IT commodity. Discover more of the benefits (and drawbacks) these tools can usher into organizations and how they can enhance workflows in different industries. Continue Reading
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Automatic meeting transcription records business sessions
By using an automated transcription platform from Fireflies.ai, employees at Zenatta Consulting can more easily find and read transcripts from important client calls. Continue Reading
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Top computer vision retail uses and how they enhance shopping
Computer vision technology can help retailers make shopping in stores faster and easier for customers, while also improving checkout accuracy and theft prevention. Continue Reading
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What is RPA technology and what can it do for your business?
RPA tools play an important role in modern companies because they can automate manual or repetitive human tasks, freeing workers to focus on more important work. Continue Reading
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Berklee uses SnapLogic for its AI in higher education needs
Berklee College of Music needed intelligent integration for its two student portals after a merger with the Boston Conservatory. The college chose SnapLogic to connect the systems. Continue Reading
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Grammarly AI and an update to the writing tool
A Grammarly update adds a new consistency checker tool to the writing platform that uses AI to automatically scan for multiple writing styles within a single document. Continue Reading
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ShopRunner uses Databricks for machine learning in retail
Databricks user ShopRunner talks about the tools showed at Spark + AI Summit 2019, such as MLflow and Databricks Delta Lake. And Datameer reveals new Databricks integration. Continue Reading
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Future of AI in transportation goes beyond self-driving cars
Transportation and logistics companies are eying an ever expanding role for AI in their products and services, ranging from safer cars to prompter shipments. Continue Reading
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Machine learning bots enable immediate paperless workplaces
Document digitization allows for the automatic extraction of data through rapid bot technology, as companies aim for a cost-effective, eco-friendly paperless workplace. Continue Reading
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Capital One AI VP discusses AI assistant Eno
Eno from Capital One is an AI assistant that can give customers real-time banking updates and alerts to possible fraud attempts. In this Q&A, Capital One's VP of conversational AI goes over the basics of Eno. Continue Reading
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Chatbots in banking at Norway's largest financial company
By deploying semantics technology over neural networks, startup Boost.ai has created a conversational AI product that is used by the largest financial services company in Norway. Continue Reading
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Enterprises need to develop an AI strategy now
Business leaders who approach AI as a future concern are likely to miss the boat on this influential technology. The time to explore AI implementation is now. Continue Reading