Features

Features

• 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 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

• 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

• RPA in banking gives fintech a competitive edge

  RPA in banking is setting its sights on fintech and flexible banking to compete with traditional banking. Community banks still see hurdles despite potential to wield RPA.  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

• Researchers race for quantum AI as quantum computing advances

  Machine learning is likely to be an early application of quantum computers, as researchers and developers look for the key to a more human-like artificial intelligence.  Continue Reading

• AI in accounting boosts compliance and fraud detection

  Accounting and finance teams are using AI tools to speed document review and other error-prone processes, which gives a boost to fraud detection and compliance efforts.  Continue Reading

• Enterprise AI tools help cultivate better business health

  AI technologies can give companies a business boost, enough so that the number of available jobs for humans may increase instead of declining due to more automation.  Continue Reading

• Arkose Labs puts AI in cybersecurity

  Cybersecurity vendor Arkose Labs uses fraud prevention AI to block web-based bots while allowing human users to safely get to the content they want.  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

• AI in fitness offers virtual trainers and customized wearables

  From Fitbits to virtual support, wellness enterprises are positioning AI as a useful tool. Using AI in fitness clubs and products can enhance user comfort and personalization.  Continue Reading

• AI as a service democratizes benefits of new tech tools

  The emergence of AI-as-a-service tools is helping more enterprises access the benefits of AI, not just the leading-edge tech companies that pioneered the technology.  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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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 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

• 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

• 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

• 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

• 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

• 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

• 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