Evaluate
Weigh the pros and cons of technologies, products and projects you are considering.
Evaluate
Weigh the pros and cons of technologies, products and projects you are considering.
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
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
Use of AI in government makes agencies smarter
Government agencies are starting to embrace some of the same AI technologies that typical enterprises use, and many are finding increased efficiencies along the way. Continue Reading
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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. Continue Reading
Mapping adoption of artificial intelligence in the enterprise
As many enterprises focus on use case research, the mature uses of AI are concentrated in supervised learning, structured data extraction and using a small number of platforms. Continue Reading
Machine learning platform architecture demands deep analysis
This handbook offers advice on choosing machine learning platforms and using them to get accurate and meaningful information from analytics applications.Continue Reading
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.Continue Reading
Enterprise consumer relationships are building trust in AI
Transparency is an increasingly important component of consumer trust. If you want to win over consumers whose data is being collected, start with explainability and collaboration.Continue Reading
How AI in physical security makes public places safer
Deep learning-based tools are increasingly finding a home in physical security to enhance the protection of real-world assets and make public spaces safer.Continue Reading
AI in the legal industry focuses on augmenting research
From billable time invoice generation to patent attribute data mining, the implementation of AI in law firms has aided in reducing low-value, time-consuming paralegal work.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
The future of voice assistants is multiturn conversations
The future looks promising for voice assistants, but for them to really live up to the hype, they are going to have to improve at true multiturn conversations.Continue Reading
AI acquisitions lead to consolidation
Analytics and AI startups emerge regularly and grow quickly. Frequent acquisitions, however, seem to be creating a more consolidated industry, cementing some vendors at the top.Continue Reading
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
Pinpoint the right RPA products to advance your organization
RPA technology can help organizations cut costs, manage labor and automate tasks. With this buyer's guide on-hand, learn which platform is best for your organization.Continue Reading
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
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
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
Computer vision AI looks beyond the narrow into the mainstream
This handbook looks at computer vision in the enterprise, with examples of business applications and advice on deploying systems that incorporate the AI technology.Continue Reading
Computer vision tools reach into test, healthcare, security
Gaining a reputation as a viable technology in niche applications like X-ray scans, fingerprint matching and robotics, computer vision looks to mainstream, commodified apps.Continue Reading
AI at the edge spurs decentralization, IoT interconnectivity
As AI spreads into most enterprises, it's imperative that devices or programs can make immediate smart decisions. Localized AI at the edge is aiming to tackle the lag.Continue Reading
Inventory optimization machine learning tool sharpens pricing
Retailers are chasing data-driven process automation in hopes of boosting sales and streamlining margins. But how do you decide which processes to automate or vendor to implement?Continue Reading
DroneBase uses analytics-powered freelance payment system from Qwil
DroneBase uses Qwil, vendor of an analytics-based payroll and payments system, to automatically manage and pay the freelance drone pilots who use the DroneBase platform.Continue Reading
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
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
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
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
Use of AI in payments industry is set to explode
Payment processors are making wider use of AI technologies as part of an effort to make better use of their vast troves of data and connect more directly with customers.Continue Reading
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
AI for knowledge management boosts information accessibility
Integrating AI for knowledge management systems builds intelligent searches. Enterprises benefit from streamlined, smart content platforms that make information accessible.Continue Reading
Federated deep learning offers new approach to model training
Training deep learning models puts a massive strain on enterprise infrastructure, but federated learning, which trains models on endpoint devices, could lessen some of the demand.Continue Reading
Enterprises are crowdsourcing AI development
By crowdsourcing AI development, enterprises can broaden the knowledge base of their machine learning applications, and early adopters are showing promising results.Continue Reading
Human-like AI quest drives general AI development efforts
This guide explores efforts to develop general AI tools with human-like intellectual capabilities and the challenges of creating algorithms that can think like people do.Continue Reading
How to address the hidden risks of algorithmic decision making
From biased customer interactions to harmful treatment recommendations, some risks of automated decisions have yet to be resolved. A Wharton School professor has a way out.Continue Reading
Data preparation for machine learning still requires humans
Looking to AI to automate more of your processes? Don't overlook the labor that's still needed to prepare data for training machine learning and AI algorithms.Continue Reading
Data science and machine learning platforms advance analytics
Data science platforms include a variety of technologies for machine learning and other advanced analytics uses. This handbook examines them and how they can be used.Continue Reading
Data science platforms boost automation, collaboration
Data scientists can choose from a growing list of commercial and open source platforms that ease data access, analytics, model building and management in a collaborative way.Continue Reading
Artificial intelligence creativity tools mimic human ability
Computational creativity seeks to understand and reproduce facets of human creativity. From songwriting to image creation, artificial intelligence creativity tools are on the rise.Continue Reading
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
Automated machine learning streamlines model building
Automated machine learning leads to faster model building while democratizing use and increasing implementation. Expert Mike Gualtieri answers major questions about the rising tech.Continue Reading
Best machine learning platforms comparison and buyer's guide
Is turning enterprise data into insights a business imperative for you? Then look to machine learning platforms. Here's everything to know about this cutting-edge market.Continue Reading
AI benefits people, some more than others
The risks and benefits of AI are not always clear to the average consumer, who might experience the risks more than the benefits, as opposed to the tech giants that create AI.Continue Reading
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
Perfect AI-defined infrastructure by analyzing your data center
Before implementing AI, evaluate your IT team and data storage center. Experts explain the fundamental elements of data storage required to tailor an AI-defined infrastructure.Continue Reading
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
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
New uses for GAN technology focus on optimizing existing tech
GAN technology has emerged as the latest facet of AI that can be applied to existing technology to stack learning. What else can it do? Here are emerging use cases for GANs.Continue Reading
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
IBM Think 2019 coverage: Spotlight on data and AI analytics
This guide compiles news, analysis and trend stories from IBM Think 2019 and before the conference, focusing on IBM's AI, advanced analytics and data management technologies.Continue Reading
AI regulation stirs as unrestricted AI booms in China
Governments need to start regulating AI as the technology advances, experts say in part one of a three-part series on AI ethics issues around regulation, control and bias.Continue Reading
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
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
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
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
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
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
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
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
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
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
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
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
Impact of AI on business still more limited than some hoped
Most businesses have yet to feel the full effect of AI, as enterprises labor to determine where and under what conditions the technology can most effectively be deployed.Continue Reading
7 popular AI use cases today
AI use cases are cropping up in vertical markets ranging from healthcare to banking. Check out examples of how chatbots and other AI tools are changing the way business is done.Continue Reading
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
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
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
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
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
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
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
Healthcare and AI are a good pair -- until vendors overpromise
Excessive promotion and grandiose promises from vendors like IBM are making it hard to accurately judge what the proper role of AI in healthcare should be.Continue Reading
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
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
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
Current state of AI is poorly understood by the public
Current applications of AI revolve entirely around machine learning. But researcher Zachary Lipton says that's not the message you get from most media coverage of AI.Continue Reading
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
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
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
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
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
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
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
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
Machine learning applications: From lab to enterprise
The process from lab idea to enterprise reality may challenge machine learning applications. Learn how implementers are navigating the journey to practical use.Continue Reading
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
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
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
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
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
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 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
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
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 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
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
Data scientist vs. business analyst: What's the difference?
Data science and business analyst roles differ in that data scientists must deep dive into data and come up with unique business solutions -- but the distinctions don't end there.Continue Reading
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