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AI in the construction industry refurbishes trade procedures
From design to reducing workplace injury, AI in the construction industry is changing manual labor jobs. Deploying cobots and AI systems is creating visible business value. Continue Reading
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
AI for customer experience powers gains at enterprises
Customer experience is growing more central to enterprises' digital strategies, and AI is increasingly driving much of their engagement and retention efforts. Continue Reading
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Implementing RPA boosts company growth and employee satisfaction
Implementing RPA to augment your workforce can feel overwhelming. Ditch theoretical application conversations, and read a rundown of one executive's experience implementing RPA. Continue Reading
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Computer vision technology helps Trulia link buyers to homes
In this podcast, Trulia's vice president of engineering discusses the importance of computer vision applications to the website's overall goal of helping buyers find homes.Continue Reading
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
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
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
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
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
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
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
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
New data science platforms aim to be workflow, collaboration hubs
Oracle's acquisition of DataScience.com is shining a spotlight on workbench-style platforms designed to centralize advanced analytics work by teams of data scientists.Continue Reading
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
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
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
New Intel toolkit OpenVINO supports deep learning on CPUs
A new developer kit from Intel seeks to lower the bar for doing deep learning on CPUs and other types of chips to extract more intelligence from video.Continue Reading
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
Avoid bias in algorithms for best AI results
In this podcast, we examine leading thoughts on the problem of AI bias and how to mitigate some of the most common sources of unfair treatment of users of AI applications.Continue Reading
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
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
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
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
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
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
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
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
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
Artificial intelligence data storage planning best practices
AI storage planning is similar to the storage planning you're used to: Consider capacity, IOPS and reliability requirements for source data and the application's database.Continue Reading
Gauge your knowledge of cloud providers' AI technologies
As enterprise interest grows, major cloud providers continue to unveil machine learning and AI services. See how much you know about their offerings with this brief quiz.Continue Reading
How to use machine learning to build a predictive algorithm
Machine learning is an invaluable tool for solving business problems, but don't jump into it for predictive analytics without understanding these important factors.Continue Reading
Machine learning models require DevOps-style workflows
Big data is driving the use of AI and machine learning. But teams must be swift to embrace DevOps and re-evaluate models, according to Wikibon's James Kobielus.Continue Reading
AI components make tools more than the sum of their parts
AI applications, rather than being one monolithic tool, are built around a diverse collection of tools and techniques that combine to produce advanced functionality.Continue Reading