Features
Features
AI technologies
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Common sense AI approaches point to more general applications
The race to attain artificial general intelligence is on. Ranging from predictions of 10 to 200 years away, the one thing experts can agree on is that common sense AI is the next step in the journey. Continue Reading
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Trump's AI executive order glosses over data privacy, funding
Trump released his AI executive order two weeks ago, and researchers are continuing to analyze its potential impact on the industry. One thing is certain: AI is about to change. Continue Reading
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Natural language processing chatbots bring conversation to AI
A natural language processing chatbot that focuses on intent can boost the effectiveness of bot technology. By evolving conversationally, bots can become digital coworkers. Continue Reading
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Enterprises using AI in sales gain sharper view of customers
AI-powered sales tools are helping enterprise sales teams spend less time on tedious administrative tasks and get back to what they do best: selling. Continue Reading
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How to build better conversational AI bots for business uses
Conversational AI developers from Google, Uber and Autodesk detail dos and don'ts for designing chatbots and AI assistants that can interact effectively with users. Continue Reading
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Interpretable AI has benefits beyond compliance
Making AI models more interpretable has a wide range of benefits and shouldn't just be thought of as a compliance exercise, experts at the H2O World conference said. Continue Reading
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New deep learning techniques take center stage
The days of simple linear regressions for machine learning are giving way to more powerful deep learning techniques that point the way toward general AI capabilities. Continue Reading
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Using AI for invoices lets ControlExpert add structure to data
By using Abbyy software and OCR technology, ControlExpert can automatically process and classify millions of structured and unstructured documents and invoices. Continue Reading
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AI in 2019 will be all about bots and pre-trained models
2019 promises to be a big year for AI, as we're likely to see some trends -- such as adoption of virtual assistants and strong venture capital funding -- continue and others emerge. Continue Reading
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AI winter is coming? Not this time, Tom Davenport says
A new AI winter, or downturn, is unlikely, even if the current slew of inflated expectations surrounding AI predicts inevitable disappointment, analytics expert Tom Davenport says. Continue Reading
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The future of AI technology: 2019 and beyond
Enterprise AI trends in 2019 will likely include more AI-powered tools for healthcare and fintech, as well as accelerating consolidation among smaller AI vendors. 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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Knowledge graph applications in the enterprise gain steam
As the maturity of knowledge graphs improves, enterprises are finding new ways to incorporate them into business operations, though stumbling blocks remain. Continue Reading
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Enterprises put AI in supply chain to streamline processes
Supply chain AI is helping enterprises that rely on the movement of physical parts and products streamline their operations and automate tricky last-mile problems. 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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Compliance.ai uses Tibco Cloud Mashery for API mastery
Compliance.ai, a compliance and regulatory management platform vendor, uses Tibco Mashery to help manage and compile many different APIs and data sources. Continue Reading
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NLP vs. NLU and the growing ability of machines to understand
NLP and NLU technologies are becoming more prominent in the enterprise. The former simply parses words, but the latter aims at a deeper level of understanding. 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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Jumio identity verification technology benefits from AI
ID verification technology is boosted by products of AI and machine learning, including natural language processing, image processing and biometric tools. Continue Reading
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AI cybersecurity tools help spot threats before they cause harm
Security pros are increasingly using AI-based cybersecurity tools to stay one step ahead of hackers and minimize vulnerabilities before they can be exploited by bad actors. 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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Wayfair's computer vision technology gets your style
At Wayfair, the digital and physical worlds continue to converge thanks to computer vision and mixed reality tech, enabling customers to get a better feel for products before they buy. Continue Reading
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Bot security through AI openness
To ensure consumers interact with secure bots and AI tools, vendors like IBM and BotChain propose more AI transparency and have designed ways to achieve that. Continue Reading
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AI in real estate smooths paper-based processes
The use of AI applications in real estate aims to make the paper-based processes of buying and selling property more reliable and repeatable. 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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IBM and AI: Researcher talks current and future projects
The goal of numerous IBM AI projects is to ultimately create programs to augment human skills and jobs, not to take jobs away from humans, an IBM researcher says. Continue Reading
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How AI in e-commerce makes vendors more responsive to customers
AI tools are giving a boost to personalization in e-commerce as vendors find machine learning tools can make ads and experiences more relevant to their customers. Continue Reading
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AI in hospitality industry helps smooth travel turbulence
A growing number of hotels using AI are reporting streamlined customer service and improved cross-sell opportunities, but the biggest benefits likely lay ahead. Continue Reading
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Where the IBM Project Debater AI system may be headed
Unveiled during a live debate in June, IBM's Project Debater will be partially released in 2019 and could have real-life applications, particularly in education. Continue Reading
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Customer support chatbots set to transform service functions
AI-enabled chatbots are helping enterprises improve their customer service functions by automating some tasks, enabling human workers to focus on what really matters. Continue Reading
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Deep learning use cases aren't limited to big tech companies
Industries that are not traditionally technology-driven are starting to find ways to use deep learning, proving the tools aren't just for large tech companies. Continue Reading
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Tech experts weigh in on the AI hype cycle
AI expectations couldn't be any higher. Read why leading industry experts believe the hype is deserved and what developers can do to deliver on the technology's weighty promise. Continue Reading
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Enterprises explore AI voice assistant technology
Intelligent voice assistant devices, so popular among consumers, are starting to make their way into enterprises, but businesses need to be mindful of several challenges. Continue Reading
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Generative adversarial networks could be most powerful algorithm in AI
The emergence of generative adversarial networks has been called one of the most interesting successes in recent AI development and could make AI applications more creative. Continue Reading
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Limits of AI today push general-purpose tools to the horizon
The future of AI should be focused on more general-purpose tools, but developers have a long way to go before achieving the kind of AI movies taught us to expect. Continue Reading
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Machine learning still big at Stripe despite deep learning hype
Classical machine learning methods are getting overshadowed in today's AI landscape, but problems with deep learning are keeping them relevant at payment processor Stripe. Continue Reading
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Implementing deep learning requires a creative approach
Using deep learning in an effective way requires creative problem-solving and a team approach that goes beyond simply hiring data scientists, experts say. Continue Reading
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AI in call centers amplifies customer voice
Speech analytics use cases involving customer contact centers show how AI technology can make sense out of messy human language, helping businesses along the way. Continue Reading
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Limitations of neural networks grow clearer in business
AI often means neural networks, but intensive training requirements are prompting enterprises to look for alternatives to neural networks that are easier to implement. Continue Reading
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Value of NLP applications varies for different AI uses
Chatbots and virtual assistants are built on sophisticated component pieces, like NLP tools and automated bot technology, which can be implemented on their own in some use cases. Continue Reading
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How one company thinks chatbots and AI can change insurance
Insurance agency management company In-Fi is hoping AI chatbots can streamline homeowner insurance applications and bring the process in line with customers' expectations. Continue Reading
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Harman's plan for AI in cars moving full speed ahead
Can an AI virtual assistant in every car save the auto industry from sluggish sales and an uncertain future? Audio component manufacturer Harman argues that it can help. Continue Reading
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More curiosity could help narrow AI tools handle broader uses
Today, engineers are developing AI tools primarily for individual applications, but programming a facsimile of curiosity into algorithms could help make them more general purpose. Continue Reading
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Why Intuit aims chatbot design at a narrow set of tasks
A data scientist at Intuit details the finance software vendor's approach to building chatbots -- and explains why it's limiting them to some basic customer service activities. Continue Reading
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AI virtual assistant tools prove better for customer service than chatbots
AI virtual assistant software is increasingly surpassing chatbots and natural language search, as enterprises see deeper value in enabling true conversation. Continue Reading
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AI functionality limited today but could be a game-changer
Limited AI capabilities could soon give way to technology that is truly transformative for enterprises, surpassing the overhyped functionality that we see today. Continue Reading
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Chatbot applications must get better at chatting to engage users
Today's AI chatbots are good at taking orders and delivering scripted responses, but experts say tomorrow's chatbots need to be more conversational in order to deliver bigger value. Continue Reading