Features
Features
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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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AI vendors may have to prove systems don't discriminate
Washington state is considering a bill that would require vendors to prove their AI algorithms aren't biased. If enacted, the AI regulation could have far-reaching implications. Continue Reading
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Tackling the AI bias problem at the origin: Training data
Though data bias may seem like a back-end issue, the enterprise implications of an AI software using biased data can derail model implementation. Continue Reading
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Data democratization strategy for machine learning enterprise
In the enterprise, data democratization works to break down data silos by opening access to an organization's data across teams in an effort to improve workflows. 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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Defining enterprise AI: From ETL to modern AI infrastructure
The promise of enterprise AI is built on old ETL technologies, and it relies on an AI infrastructure effectively integrating and processing loads of data. Continue Reading
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KDD in data mining assists data prep for machine learning
While data scientists are often familiar with data mining, the deeper knowledge discovery in databases (KDD) procedure can help prepare data to train machine learning algorithms. 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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Finding the balance between edge AI vs. cloud AI
Centralized cloud resources allow AI to continuously improve while edge AI allows for real-time decision-making and larger models. The best approach combines them. 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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9 data quality issues that can sideline AI projects
The quality of your data affects how well your AI and machine learning models will operate. Getting ahead of these nine data issues will poise organizations for successful AI models. Continue Reading
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Reality check: Analysts check in on the AI hype cycle
AI applications still come with significant hype, but with a targeted approach, organizations can get the most out of their applications. 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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Why AI literacy is critical, even for non-technical employees
To successfully deploy and manage AI projects and build a vision of a digital workplace, businesses need to ensure a basic level of AI competency across all employees. 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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How AI can be used in agriculture: Applications and benefits
The use of agricultural AI optimizes the farming industry by decreasing workloads, analyzing harvesting data and improving accuracy through seasonal forecasting. 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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Understanding motion analytics, where it is and where it's going
Machine learning is helping make motion analysis more usable for the average enterprise, creating new use cases and applications that can drive value. 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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Establishing AI governance in a business
It's hard to ethically manage data for AI models, but AI governance, as well as a strong ethics framework, can help enterprises effectively manage data and models. 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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AI vs. predictive analytics debate shows powerful combination
Artificial intelligence and machine learning, when combined with predictive analytics, allow companies and organizations to get the most out of their data. 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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Application of AI in robotics boosts enterprise potential
The combination of AI and robotics has allowed companies to move past automation and tackle more complex and high-level tasks with their robots. 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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How to troubleshoot 8 common autoencoder limitations
Autoencoders' ability for automated feature extraction, data preparation, and denoising are complicated by their common problems and limitations in usage. 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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Responsible AI champions human-centric machine learning
Encompassing ethics, transparency and human centricity, responsible AI is an effective approach to deploying machine learning models and achieving actionable insights. 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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It's time to address AI ethics
Enterprises need to focus on creating and adopting AI ethical guidelines, especially for emerging technologies such as facial recognition and home assistants. 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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Bias in machine learning examples: Policing, banking, COVID-19
Human bias, missing data, data selection, data confirmation, hidden variables and unexpected crises can contribute to distorted machine learning models, outcomes and insights. 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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AI, robotics help businesses pivot supply chain during COVID-19
Big enterprises such as Wayfair, UPS, Unilever and Siemens move to automate more of their supply chains with AI as the coronavirus pandemic disrupts business operations. 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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Future of AI in video games focuses on the human connection
The future of gameplay is reliant on the usage and perfection of Emotional AI and its ability to create and emulate realistic and human relationships. 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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AIoT applications prove the technology's adaptability
The combination of artificial intelligence and IoT has led to better predictive capabilities for devices, informed data storage, and enterprise machine optimization. Continue Reading
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14 best machine learning platforms for 2020
Turn ever-growing volumes of data into enterprise insights with the right platform for machine learning. Learn more about the vendors and products in this cutting-edge market. 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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Care provider uses automated machine learning in healthcare
An assisted living and transitional care provider uses DataRobot to automate the process of building and deploying machine learning models, enabling it to deploy models quickly. Continue Reading
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AI in tax preparation gets a boost from classification tech
Tax filers and tax collectors are using AI tools to make the process of paying and collecting taxes simpler. The data-rich, complex processes of tax collection are an ideal use case for AI. 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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Deep learning's role in the evolution of machine learning
Machine learning has continued to evolve since its beginnings some seven decades ago. Learn how deep learning has catalyzed a new phase in the evolution of machine learning. 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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Machine learning for fraud prevention keeps TrafficGuard agile
TrafficGuard uses machine learning to prevent ad fraud but has faced the challenges that come along with it. Full-scale commitment and investment have eased those obstacles. 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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Contact tracing apps seem effective, but have privacy concerns
Contact tracing mobile applications appear to offer an easier, safer way to track where an infected person has been, but technology could cross a data privacy boundary. 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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Cloud computing for machine learning offers on-demand tools
Automated machine learning and MLaaS tools are now being developed for the cloud, and enterprises need better workflows and infrastructure to successfully integrate the technology. 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 document processing remains a subtle but powerful use case
Artificial intelligence has found strong use cases in content summarization and document categorization within the medical, marketing and legal fields. 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's impact on business: The quest to make money
'Bionic' companies have cracked the code on using AI to make money. Here is what IT and business leaders need to do to maximize AI's impact on the business. 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
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AI in digital transformation vital for enterprises
Without using AI, enterprises will not be able to compete effectively, according to the CEO of Box. Companies need to infuse AI into their digital transformation efforts now. Continue Reading
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Are giant AI chips the future of AI hardware?
Giant AI chips like the Cerebras WSE are dazzlingly fast and could transform AI models, but how soon is the question for CIOs. Experts mull the merits of small vs. big AI chips. Continue Reading
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Neuro-symbolic AI emerges as powerful new approach
The unification of two antagonistic approaches in AI is seen as an important milestone in the evolution of AI. Read about the efforts to combine symbolic reasoning and deep learning by the field's leading experts. Continue Reading
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MLOps tools hope to boost enterprise model implementation
Taking notes from DevOps lifecycle management, machine learning operations tools and platforms seek to improve accuracy, ease integration problems and keep models trained. Continue Reading
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AI helping higher education during the pandemic
By using AI and analytics, higher education schools can gauge how their students are faring at scale during the coronavirus pandemic. Continue Reading
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AI and edge computing security
While boasting benefits such as reduced latency, edge computing can increase a company's vulnerability. Ensuring security is crucial to getting the most out of the technology. Continue Reading
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Can the future of voice assistants include enterprise use?
Voice assistants haven't had the success that companies originally expected. AI and machine learning could go a long way to boost this technology. Continue Reading
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Value of AI in capitalizing on big data, expanding automation
The strategic value of AI in business is growing as companies learn how to use AI technologies to capitalize on big data, drive automation and better serve customers. Continue Reading
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7 last-mile delivery problems in AI and how to solve them
Enterprises are discovering it's easier to build AI than it is to integrate it into existing processes. We examine seven 'last-mile' deployment problems when delivering AI. Continue Reading
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Safety vs. privacy in the age of coronavirus raises tech questions
To slow the spread of the coronavirus, governments and organizations are using contact tracing and thermal imaging for fever detection, but these methods carry privacy concerns. Continue Reading
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8 emerging AI use cases in the enterprise
New approaches to AI model building, more system thinkers -- amid a global pandemic, the landscape has changed for AI applications in the enterprise. Here are eight emerging AI use cases. Continue Reading
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4 explainable AI techniques for machine learning models
At its core, AI is a complex modeling process with layers of information. In order to be able to explain the algorithm's decision-making process, start with its input data. Continue Reading