Features
Features
AI technologies
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Cryptocurrency broker uses Ada AI platform for better CX
LiteBit partnered with the customer service vendor in 2017 when the cryptocurrency market was booming. Since then, it has been using the vendor's AI-powered chatbot. Continue Reading
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Q&A: How retail AI tools can help combat inflation
Prices for food, gas and more have risen during the past year. Revionics' senior director of retail innovation discusses how retail AI tools can help companies navigate inflation. Continue Reading
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Why TinyML use cases are taking off
TinyML technology can successfully collect and analyze data in real scenarios, as demonstrated in various use cases. Continue Reading
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Language models and the metaverse top AI stories of 2021
From moves toward government regulation to the metaverse, language models getting bigger and autonomous vehicle tech slowing, these are some of the biggest stories of the year. Continue Reading
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How warehouse automation robotics transformed the supply chain
To maximize efficiency in warehouses and ameliorate supply chain issues, companies are turning to automation technology, leading them to embrace warehouse automation robotics. Continue Reading
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Using machine learning to address COVID-19 vaccine hesitancy
A look at how Final Mile is trying to fix vaccine hesitancy with its AI model and behavioral science and design, along with the impact of models developed during the pandemic. Continue Reading
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TinyML at the very edge of IoT shows signs of promise
TinyML can enable machine learning on small devices that exist within IoT systems and experts are currently debating the breadth of its practical real-world uses. Continue Reading
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How to build scalable edge AI systems
A look at the different challenges enterprises and vendors face in this new arena, and some of the different ways the merging technology can be applied, including in healthcare. Continue Reading
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Facebook facial recognition technology ban: Will it hold?
The social media network's use of the technology led to criticism. Some think the technology may soon be rebranded or used on Facebook parent company Meta's other platforms. Continue Reading
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Autonomous vehicle technology advancing amid big challenges
Self-driving vehicles won't be widely viable commercially until their AI guidance systems are better than human drivers and can adjust to unpredictable road circumstances. Continue Reading
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FTC pursues AI regulation, bans biased algorithms
The agency tries to regulate how businesses use AI algorithms by enforcing the Fair Credit Reporting Act, Equal Opportunity Credit Act and FTC Act. Critics want more regulation. Continue Reading
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Capitalizing on the many artificial neural network uses
Neural networks have many use cases. Businesses interested in using AI should consider both the challenges and potential gains of deploying neural nets. Continue Reading
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A look at AI trends and bias in AI algorithms
In the past few years, more and more organizations have focused on AI. However, just as the use of AI and machine learning has expanded, concern about AI bias is also growing. Continue Reading
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AI carbon footprint: Helping and hurting the environment
Companies can use AI to help the environment, including by using it to prevent forest fires and reduce factory waste. At the same time, AI has its own carbon footprint. Continue Reading
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How neural network training methods are modeled after the human brain
Training neural nets to mirror the human brain enables deep learning models to apply learning to data they've never seen before. Continue Reading
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Expanding explainable AI examples key for the industry
Improving AI explainability and interpretability are keys to building consumer trust and furthering the technology's success. Continue Reading
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AI and climate change: The mixed impact of machine learning
AI can both help and hurt the environment. While companies use artificial intelligence to increase factory efficiency and lower energy costs, training AI demands a lot of energy. Continue Reading
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RPA market booms as enterprises automate with bots
The RPA sector is expected to reach nearly $3 billion this year as new vendors compete with larger established RPA specialists and tech giants for enterprise automation business. Continue Reading
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Energy consumption of AI poses environmental problems
Data centers and large AI models use massive amounts of energy and are harmful to the environment. Businesses can take action to lower their environmental impact. Continue Reading
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AI accountability: Who's responsible when AI goes wrong?
Who should be held accountable when AI misbehaves? The users, the creators, the vendors? It's not clear, but experts have some ideas. Continue Reading
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Solving the AI black box problem through transparency
Ethical AI black box problems complicate user trust in the decision-making of algorithms. As AI looks to the future, experts urge developers to take a glass box approach. Continue Reading
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The benefits of an AI-first strategy
Enterprises should put AI first in their business strategies by constantly collecting and using new data to power AI models, argues startup investor Ash Fontana. Continue Reading
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5 ways AI bias hurts your business
A biased AI system can lead businesses to produce skewed, harmful and even racist predictions. It's important for enterprises to understand the power and risks of AI bias. Continue Reading
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5 top chatbot features to boost your AI plan
By infusing their chatbots with natural language understanding, contextual messaging and other AI features, enterprises can build and deploy more powerful chatbots. Continue Reading
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10 AI tech trends data scientists should know
The rising environmental and monetary costs of deep learning are catching enterprises' attention, as are new AI techniques like graph neural networks and contrastive learning. Continue Reading
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Advanced SQL skills boost data scientists' value
Learning advanced SQL skills can help data scientists effectively query their databases and unlock new insights into data relationships, resulting in more useful information. Continue Reading
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How emotion analytics will impact the future of NLP
Conversational agents and chatbots struggle to understand complex human speech, including sarcasm. But that could change as NLP increasingly incorporates emotional understanding. Continue Reading
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4 AI career path trajectories for IT professionals
As the desire for AI and machine learning in-house skills skyrocket, those looking to break into the market have a variety of career path options, including AI architect and BI developer. Continue Reading
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How to detect bias in existing AI algorithms
While enterprises can't eliminate bias from their data, they can significantly reduce bias by establishing a governance framework and employing more diverse employees. Continue Reading
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5 reasons NLP for chatbots improves performance
Experts say chatbots need some level of natural language processing capability in order to become truly conversational. Without language capabilities, bots are simple order takers. Continue Reading
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New DataRobot CEO sees bright AI future for the vendor
New CEO Dan Wright discusses how DataRobot can stay competitive in a crowded AI marketplace, new markets for the vendor, and how DataRobot has tackled the pandemic. Continue Reading
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Automatic speech recognition may be better than you think
Even as more enterprises turn to voice recognition systems to process unstructured audio and build virtual assistants, many organizations don't have confidence in the high accuracy of these systems. Continue Reading
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AI voice technology has benefits and limitations
The quality of an automated transcription depends on high-quality recording equipment as well as modern AI-powered transcription software, according to one CTO. Continue Reading
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Synthetic data for machine learning combats privacy, bias issues
Synthetic data generation for machine learning can combat bias and privacy concerns while democratizing AI for smaller companies with data set issues. Continue Reading
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Broad use of EHR voice assistants still years away
EHR voice assistants aren't much more than a Siri-type interface to the patient's healthcare record right now. But vendors and clinicians see big things for the tech. Continue Reading
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Mastercard senior VP talks about AI and fraud prevention
Mastercard uses and sells AI-powered technology to prevent fraud and has found that AI-powered services can inspire customer loyalty. Continue Reading
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Cutting through the fear of how AI will affect jobs through automation
Dive into Steven Shwartz's recent book, 'Evil Robots, Killer Computers, and Other Myths,' with a chapter excerpt on employment and the future of work. Continue Reading
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Steel producer reduces costs using AI in manufacturing
The largest long steel producer in Latin America used data and machine learning predictions to save money, while maintaining the same level of production quality. Continue Reading
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Businesses pivot back to AI adoption after year of slow growth
AI adoption has taken a step back when it comes to enterprise IT spending priority, but it remains a steady investment for enterprises across industries. Continue Reading
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CTO on the need for AI ethics and diversity
A CTO talks about the importance of diverse data sets when creating AI models and how a lack of diversity can create bias in systems. Continue Reading
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Artificial general intelligence in business holds promise
While AGI in business remains unattainable today, truly intelligent systems, chatbots and predictive analytics are potential use cases enterprises should keep their eyes on. Continue Reading
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Automated speech recognition gives CX vendor an edge
An automated transcription service can help users train their sales staff and stop robocalls. A contact center software vendor included one for free in its platform. Continue Reading
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Artificial general intelligence examples remain out of reach
Artificial general intelligence remains largely an aspiration goal of researchers, but as technologies advance, so too does the dream become more realistic. Continue Reading
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Diverse talent pools and data sets can help solve bias in AI
Bringing historically underrepresented employees into critical parts of the design process while creating an AI model can reduce or eliminate bias in that model. Continue Reading
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The power and limitations of enterprise AI
A panel at CES 2021, held virtually this year, discusses the areas in which modern-day AI and automation shine, and where they still struggle. Continue Reading
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AI trends in 2020 marked by expectation shift and GPT-3
In the past year, AI hyperscalers got serious about their machine learning platforms, expectations were reset and transformer networks empowered the GPT-3 language model. Continue Reading
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Conversation intelligence helps ChowNow meet online order demand
Using RingDNA, online food ordering platform ChowNow can automatically surface insights about what works in sales calls to better coach its sales staff. Continue Reading
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AI ROI questions to ask and the hidden costs of AI
While ROI can be difficult to show with AI projects, it is crucial for AI teams to anticipate costs and prove each investment is worth the enterprise's time. Continue Reading
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Emerging AI startups to look at in 2021
AI startups in the legal, MLOps, NLP and data training markets make this year's list of emerging AI vendors to look out for. Continue Reading
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Nuance CTO: Conversational AI is the 'next big step'
Conversational AI has steadily grown more advanced over the past several years. Nuance CTO Joe Petro explains why the vendor is refocusing on the technology. Continue Reading
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Speech to text for deaf users aids in accessibility
For the millions of people who are hard of hearing, speech-to-text advancements have improved their ability to complete daily tasks -- but the tech still has a long way to go. Continue Reading
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How AI adoption by industry is being impacted by COVID-19
While COVID-19 has impacted budgets and businesses plans, some industries are seeing improved processes and consumer relationships due to new investments in AI and automation. Continue Reading
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Google AI art tool turns 2D creatures into 3D models
These 3D chimera creatures are brought to you by Google's Chimera Painter, an AI-powered tool that turns 2D images into 3D creature models. Continue Reading
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How to avoid overfitting in machine learning models
Overfitting remains a common model error, but data scientists can combat the problem through automated machine learning, improving AI literacy and creating test data sets. Continue Reading
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8 examples of AI personalization across industries
Through AI content personalization, organizations can build unique profiles of users and customers and tailor their products, advertisements and services to better fit them. Continue Reading
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AI might not have rights, but it could pay taxes
Tax, liability and patent laws can't handle AI systems, which have grown steadily smarter. As AI becomes ubiquitous, the legal system may need to change to accommodate it. Continue Reading
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Bayesian networks applications are fueling enterprise support
Cloud-based infrastructure has opened the door for enterprises to take advantage of the versatile predictive capability of Bayesian networks technology. Continue Reading
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AI fraud detection tools can help fight rising e-commerce fraud
As the coronavirus pandemic has forced more businesses online, e-commerce fraud has spiked. AI fraud detection and prevention tools, however, can help merchants. Continue Reading
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How 5G and artificial intelligence may influence each other
5G and AI can be combined to improve the network speed, responsiveness and efficiencies of organizations in the enterprise, but the former needs more time to mature. Continue Reading
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Insurance provider uses AI for legal to manage contracts
The legal team at Asurion, a major insurance provider, kept its documents spread out across filing cabinets, hard drives and the cloud. It turned to an AI platform to better manage them. Continue Reading
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General AI vs. narrow AI comes down to adaptability
AI today has limited and specific applications, but the continual growth of the technology may just lead to the replication of human intelligence through general AI. Continue Reading
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GPT-3 AI language model sharpens complex text generation
GPT-3 is the latest natural language generation model, but its acquisition by Microsoft leaves developers wondering when, and how, they'll be able to use the model. Continue Reading
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COVID-19 to drive more AI in retail for small retailers
Retailers were hit hard by the COVID-19 economic fallout, especially small, local businesses. Amid a shift online, AI could help some retailers adjust to the new reality. Continue Reading
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IBM chatbot gives voting information to Idaho residents
By turning to IBM Watson Assistant, the state of Idaho deployed a chatbot to help voters get information about the primary elections, which were mail-in only, back in May. Continue Reading
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Enterprise and home find use for intelligent virtual assistants
Intelligent virtual assistants have the capacity to augment employees, as well as improve convenience in homes, but only time will see their limitations resolved. Continue Reading
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Advantages of AI in agriculture include increased efficiency
Artificial intelligence has the capacity to improve the supply chain and agricultural industry by improving demand forecasting and increasing productivity. Continue Reading
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The deepfake 2020 election threat is real, but containable
Disinformation could harm the 2020 presidential election, and technology simply isn't advanced enough to detect manipulated content, especially deepfakes. Continue Reading
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AI in transportation reduces employee workloads
By using intelligent automation, a shipping company trimmed employee workloads, enabling employees to shift from document processing to customer service. Continue Reading
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Explore the foundations of artificial neural network modeling
Dive into Giuseppe Bonaccorso's recent book 'Mastering Machine Learning Algorithms' with a chapter excerpt on modeling neural networks. Continue Reading
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3 keys for the implementation of AI in the enterprise
Organizations need to focus on diversity, proper scaling and augmentation capabilities when implementing artificial intelligence in order to keep the process pain-free. Continue Reading
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Combining AI and predictive analytics crucial for the enterprise
Predictive analytics, when combined with artificial intelligence, can assist organizations with their risk management, as well as their planning and optimization. Continue Reading
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It's been a slow road for AI in oil and gas industries
Analytics and AI can help oil and gas companies better predict supply and demand, involuntary flaring and where to drill. But the companies struggle to get talent. Continue Reading
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Future of autonomous vehicles depends on driver attitudes
Getting the public behind the idea of an autonomous vehicle means peeling back the black box nature of AI and proving the safety of self-driving technology. Continue Reading
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AI in retail has helped retailers during COVID-19
During the Ai4 2020 virtual conference, a panel of retail experts discusses how AI and analytics have helped retailers deal with the economic fallout of the COVID-19 pandemic. Continue Reading
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Automated document processing helps PPP applications
Using its own AI models, as well as technology from Abbyy, PwC can rapidly and correctly file a large volume of PPP loan applications. Continue Reading
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Machine learning limitations marked by data demands
Machine learning has impressive capabilities in the enterprise, but with high-data requirements and struggles with explainability, it remains unable to reach widespread use. Continue Reading
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4 ways AI and digital transformation enable deeper automation
Organizations that are going beyond the enterprise adoption of digitization are entering a new wave of AI-enabled digital transformation. Continue Reading
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Reimagining creativity and AI to boost enterprise adoption
AI has yet to reach the point of creativity but continues to advance, while assisting humans in the production of their own creative works and improvement of their organizations. Continue Reading
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Process automation in education helps school during COVID-19
Using process automation, a school in Sydney helped keep classes going online by automating the daily roll call process. Organizations have increasingly turned to automation and AI during COVID-19. Continue Reading
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Autoencoders' example uses augment data for machine learning
Autoencoders are neural networks that serve machine learning models -- from denoising to dimensionality reduction. Seven use cases explore the practical application of autoencoder technology. Continue Reading
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Applications of generative adversarial networks hold promise
Generative adversarial networks are tied to fake online content known as 'deepfakes,' but GANs can help data-poor enterprises supplement their data needs. Continue Reading
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5 major benefits of machine learning in the enterprise
Businesses are inserting machine learning into processes wherever possible. Here are a few of the ways machine learning users are benefiting from machine learning. Continue Reading
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AI in operations management relieves pressure on IT teams
AI, when combined with IT operations and DevOps teams, forms AIOps that can greatly improve how IT assets are developed, produced and managed. Continue Reading
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The state of AI in 2020 likely sees more adoption
AI adoption has appeared to grow this year, as organizations deploy automation to augment dwindling workforces and help deal with growing demand during the COVID-19 pandemic. Continue Reading
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Accounts payable automation eliminates invoice backlog
Purple, a mattress company, struggled each week to manually process its myriad invoices and bills. It found relief in automated accounts payable software from a startup vendor. Continue Reading
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Warehouse AI and robotics help train employees
Workers at a logistics and transportation company learn on the job with an autonomous cart, Chuck. The robot teaches employees the layout of the warehouses and where items are. Continue Reading
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Artificial intelligence content writing ramps up publishing
To ease the burden that is associated with content production, AI in content production has been deployed to augment writers' work and to help monitor and measure post engagement. Continue Reading
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Learn the business value of AI's various techniques
To drive business value from AI, business managers need to distinguish between the various AI techniques, starting with the many flavors of machine learning. Continue Reading
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Accelerating digital transformation through remote work
As working remotely became a near-global mandate, companies have been thrust headfirst into a digital transformation. AI is helping to smooth the journey. Continue Reading
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Understanding how deep learning black box training creates bias
Bias in AI is a systematic issue that derails many projects. Dismantling the black box of deep learning algorithms is crucial to the advancement and deployment of the technology. Continue Reading
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AI web scraping augments data collection
Web scraping automates the data gathering process and refines the data pipeline, but it requires careful attention to choosing the right tools, languages and programs. Continue Reading
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NLP, chatbot development reignite conversational commerce AI
The world of e-commerce has been focused on the adoption of conversational commerce for years to boost online sales. COVID-19 might just be the catalyst for widespread use. Continue Reading
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Hospital IoT highlighted by AI use cases and wearable devices
AI in healthcare can provide patients and doctors with better care and support through prescriptive analytics, wearable devices and illness detection. Continue Reading
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5 AI technologies in business that are making a big impact
Learn how image recognition, speech recognition, chatbots, natural language generation and sentiment analysis are changing how businesses operate. Continue Reading
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Use of AI-assisted surgery remains limited despite its benefits
While AI adoption to assist with surgeries remains limited, the technology holds great potential to increase quality of care and decrease patient risk. Continue Reading
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Enterprises should not neglect AI digital transformation
Enterprises should focus on automation to augment their workforces as they recover from the COVID-19 economic downturn, and not lose sight of larger digital transformation projects. Continue Reading
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AI in sales can make smart lead recommendations
For one B2B sales tech company, a self-service AI startup founded by a former Google employee helps create lead recommendations using machine learning. Continue Reading
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AI COVID-19 tech bolsters social distancing, supply chains
As the world waits for staggered reopenings and a return to normal life, AI-based technology is assisting scientists with diagnosis, detection, research and remote-based workforces. Continue Reading
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AI and augmented reality blur lines between virtual and reality
Using AI with augmented reality and virtual reality in industries as varied as gaming and conversational systems can enhance the already impressive technologies. Continue Reading
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AI and DevOps team up in remote work model
Communication and network security are increasingly difficult in DevOps teams as the workforce goes digital. Using AI and machine learning helps companies adjust to the remote work model. Continue Reading