Features
Features
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The new AI frontier: Hyperpersonalized automated advertising
AI-powered automated advertising is being utilized to connect consumer to products, leading to more sales. Simply put: Hyperpersonalized content is taking over the ad space. Continue Reading
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More AI in retail stores means more personalization
Cheaper and more easily accessible AI developer tools are part of the reason why traditional retailers are better at marketing personalized experiences to customers. Continue Reading
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Enterprises deploy AI in mining projects to improve analytics
By implementing AI in mining processes, enterprises are able to utilize data algorithms and automated machines to preserve the sensitive environment and their human workforce. Continue Reading
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Debate over AI in the workforce requires a broad view
Enterprises that are poised to implement AI in the workforce don't have to forfeit human jobs to do so. Read a Dun & Bradstreet analyst's take on the intent of enterprise AI. Continue Reading
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Recruiting data scientists for AI and machine learning
When hiring data scientists, be sure to include your data science team in the interview process, and strive to build a data-literate HR department. AI tools may also help. 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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Automated help desk processes improve enterprise-level ITSM
By using AI-enabled systems to create an automated help desk, enterprises can streamline IT support while predicting, managing and solving common user issues. Continue Reading
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Footasylum drives growth with AI in retail business tools
AI-driven marketing tools from Peak, an AI and analytics services vendor, has helped apparel seller Footasylum better personalize marketing to customers. 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 for project management makes projects more strategic
Enterprises are increasingly incorporating AI into their project management processes to make projects more strategic and to make better use of the data created by these processes. Continue Reading
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Using AI in manufacturing processes surges quality and design
The addition of AI in manufacturing leads to increased workflow -- from design to production. Production plants are turning to technology to supplement the manufacturing skills gap. 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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Davenport: AI-based projects should be focused in scope
New AI projects in enterprises should focus on achievable goals rather than try to reinvent business processes or products and services, 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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Explainability is no solution to problem of bias in AI
Explainability has been touted as a solution to the problem of biased AI models, but experts say that approach only gets you part of the way to bias-free applications. 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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AI for accessibility helps people with disabilities
AI for people with disabilities is making a meaningful difference in their ability to navigate the world and participate in all the activities of daily life. 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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Lessons learned from 3 AI use cases
Sharing use cases is a form of storytelling, and that may be a key to proving just how valuable AI can be for companies, according to Gartner's Erick Brethenoux. 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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Business robotics moves off of the manufacturing floor
New uses of robotics are opening up in businesses, as applications for the technology begin to expand beyond its traditional place in manufacturing plants. 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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The steady evolution of RPA to intelligent automation
New technologies have led to new RPA types, as advances in AI, machine learning and natural language processing have evolved the original RPA tools of the 1990s. 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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How AI process automation helps simplify enterprise workflows
The growing trend of putting AI in process automation tools is helping companies make their workflows more intelligent, offering an upgrade over traditional process automation tools. Continue Reading
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On-device AI features make connected tools smarter
As the number of connected devices grows, AI at the edge of networks is increasingly making connected devices smarter, enabling them to take advantage of emerging smart technologies. 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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Use of AI in pharma grows as drug-makers see big benefits
The use of AI in clinical trials, drug discovery and manufacturing is growing and, despite a few barriers, drug companies are expected to continue rolling out the technology. Continue Reading
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Convert unstructured data to structured data with machine learning
With access to powerful compute power and advances in machine learning, unstructured data is becoming easier and cheaper for businesses to turn into usable sources of insight. Continue Reading
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AI in policing is controversial but delivers results
The drive toward more predictive policing is only growing stronger as computer vision and other AI tools are put to use. But not everyone is happy with the trend. 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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Use of AI in video games boosts playing experience
The combination of AI and gaming is not necessarily a new phenomenon, but it is gaining traction and contributing to more true-to-life and engaging experiences. 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 sports helps teams and leagues engage with fans
The use of artificial intelligence in sports industry is a growing trend that is helping leagues and teams engage with fans and improve the quality of in-game officiating. Continue Reading
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How to make a wise machine learning platforms comparison
What data sources does it support? Is it easy to use? Does it have automation features? These are just a few questions to ask when making a machine learning platforms comparison. 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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RPA strategy takes advantage of fast-growing market
The RPA market is rapidly growing, and it's little wonder why. Using RPA best practices, businesses can deploy RPA quickly and potentially use it to save time and money. Continue Reading
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Machine learning in production challenges developers' skills
Deploying machine learning models requires an entirely different skill set than developing them, and data scientists and engineering teams need to be ready to bridge this gap. 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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AI for education brings benefits to burdened school staff
Using AI in education can have a dramatic impact on the way teachers use their time and the manner in which students are served individually. Expect the trend to continue. 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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What do businesses do with the top machine learning platforms?
Take a deep dive into machine learning, including decision trees, clustering, reinforced learning, neural networks, as well as supervised and unsupervised machine learning. Continue Reading
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AI and jobs collide as automation looms
AI automation will eliminate a broad swath of today's jobs over time, but some jobs are likely to disappear sooner than others due to the uneven pace of technology development. Continue Reading
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Automated journalism creeps into newsrooms leaning on AI
The use of AI in journalism is gaining steam and, at this early stage, newsrooms are still looking at how the tools can be used to help reporters tell deeper stories. 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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Algorithmic bias top problem enterprises must tackle
No enterprise today would roll out an obviously biased AI tool, but many remain unaware of the risks of unconscious bias in algorithms, which can produce equally dangerous results. 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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AI process automation offers benefits, but challenges remain
Enterprises are starting to employ machine learning tools as part of their AI automation strategies, but several key challenges stand in the way of effective usage. Continue Reading
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AI in restaurants takes customer service to the next level
Restaurants face challenges that include low margins and high turnover, but the use of chatbots is helping some restaurant chains address these perennial difficulties. Continue Reading
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Data science in healthcare demands dual focus, expert says
Symphony Post Acute Network is seeing success blending analytics for clinical and business operations, a change compared to how healthcare systems have traditionally used analytics. 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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How to find the best machine learning frameworks for you
There's no shortage of open source deep learning tools today, and evaluating them can be a challenge. But there are some primary considerations to keep in mind. Continue Reading
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Data science tools of the trade fill skills gap
Data science tools are becoming more intelligent and better at understanding intent and context. But don't stop advertising that data scientist job on the web just yet. Continue Reading
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At Intuit, machine learning enhances products, CTO says
Intuit's machine learning and AI technology are transforming its many financial software products. CTO Tayloe Stansbury discusses what that means for Intuit. Continue Reading
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AI for business operations starts to offer value
Businesses are starting to implement AI in operations to smooth out back-office processes and streamline repetitive tasks that currently take too much time for human workers. 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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The threats of AI must be taken seriously to prevent harm
The risks of AI use are growing as the technology becomes more pervasive. Rather than laugh off the threats, businesses should move to mitigate them before they become headaches. Continue Reading
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Labeled data brings machine learning applications to life
The types of data being collected for analytics use are increasing, but traditional structured data is a good match for machine learning. Gartner's Svetlana Sicular explains why. Continue Reading
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GPU cloud tools take complexity out of machine learning infrastructure
While talk of AI on GPUs is abuzz, actually building a machine learning infrastructure remains a dark art. A startup's PaaS is looking to automate parts of the process. Continue Reading
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AI for recruiting helps companies land top job candidates
More enterprises are using AI in hiring today, a practice that can help surface strong applicants. But there are several pitfalls businesses need to watch for. Continue Reading
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AI in insurance forces big changes to traditional industry
Insurance companies using AI are forcing firms in this traditional industry to grapple with new technology and evaluate emerging risks that could impact their bottom lines. Continue Reading
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AI applications in healthcare smooth providers' operations
Healthcare providers are embracing AI systems at an increasing rate as the potential benefits for both patient care and operational management become more apparent. 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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Industries evaluate collaborative robot applications
Robotics has traditionally been viewed as a threat to jobs, but putting AI in robots can make machines more collaborative and empower human workers to be more effective. 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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Addressing the ethical issues of AI is key to effective use
Enterprises must confront the ethical implications of AI use as they increasingly roll out technology that has the potential to reshape how humans interact with machines. 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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Combination of blockchain and AI makes models more transparent
Blockchain technology could play an important role in helping enterprises develop more explainable AI applications, something that is frequently lacking today. 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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Threats of AI include malicious use against enterprises
As sophisticated tools become easier to use, enterprises need to protect themselves against AI threats to ensure they do not become the victims of malicious attacks. Continue Reading
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A look at the leading artificial intelligence infrastructure products
The artificial intelligence infrastructure market is young and varied, with enterprise AI vendors offering everything from cloud services to powerful, and expensive, hardware. 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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AI implementation is a winner-take-all race, analyst says
Your AI strategy should focus on growth rather than efficiency, says McKinsey analyst Jacques Bughin -- advice that enterprises rarely hear when launching projects. Continue Reading
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GDPR regulations put premium on transparent AI
As the EU's GDPR regulations go into effect, enterprises must focus on building transparency in AI applications so that algorithms' decisions can be explained. Continue Reading
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Getting to machine learning in production takes focus
Bridging the gap between training and production is one of the biggest machine learning development hurdles enterprises face, but some are finding ways to streamline the process. 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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How to keep your implementation of AI free from algorithm bias
When implementing AI, it's important to focus on the quality of training data and model transparency in order to avoid potentially damaging bias in models. 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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Humans and AI tools go hand in hand in analytics applications
Companies are keeping data analysts and other workers in the loop with AI applications to check the results generated by automated algorithms for accuracy, relevance and missing info. Continue Reading
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Artificial intelligence in business strategies, uses
SearchEnterpriseAI delivers news, tips and strategic advice on applying artificial intelligence technologies in the enterprise to improve products, services and operations. Continue Reading
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IT, finance and marketing have uses for AI -- do you?
AI in healthcare improves patient outcomes. AI in IT aids employee compliance and security. AI in logistics, AI in marketing, AI in finance -- learn how your company can use AI. Continue Reading
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Slow pace for AI implementation is a prudent business strategy
Enterprises eyeing AI development need to keep expectations under control and make sure projects align with business priorities to get real value from the technology. 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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Big data throws bias in machine learning data sets
AI holds massive potential for good, but it also amplifies negative outcomes if data scientists don't recognize data biases and correct them in machine learning data sets. Continue Reading