Features
Features
Enterprise applications of AI
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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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A look at Honeywell's digital transformation strategy
The century-old, multinational conglomerate is going through internal and external changes. The survival of its brand will depend on maintaining its trust and reputation. Continue Reading
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Will autonomous vehicles transform the supply chain?
Autonomous vehicles are being road tested and companies are predicting added value if these vehicles become integrated in supply chains, but certain obstacles must be overcome. Continue Reading
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Why optimizing machine learning models is important
A look at why AI needs optimization and how it speeds up inferencing, helps deploy models on small devices and reduces memory footprint. 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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Predictive analytics vs. machine learning
Machine learning lends itself to various applications, while predictive analytics focuses on forecasting specific variables and scenarios. Learn what they can do when combined. Continue Reading
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Is AI a boon or bane for cybersecurity?
Like other developing technologies, AI has its pros and cons. However, it has proven an indispensable cybersecurity tool, with many scenarios where AI is helping protect data. 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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How RPA and machine learning work together in the enterprise
Use cases demonstrate how using RPA and machine learning with other AI techniques achieves 'intelligent automation,' but the best automation solution depends on a company's needs. Continue Reading
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Strategies to successfully deploy AI in the enterprise
Deloitte executive director Beena Ammanath talks about ways businesses can see successful return on their investment and deployment of artificial intelligence. 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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Google Cloud, Hologic use AI tools to fight cervical cancer
The tech giant and medical technology vendor are working together to make cervical cancer screening technology widely accessible to women everywhere and fight the disease. 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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SambaNova makes a mark in the AI hardware realm
The startup says it is innovating AI hardware systems with its data flow architecture that enterprises can use to be more efficient when processing large AI data sets. 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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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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Building trustworthy AI is key for enterprises
Organizations need to focus on transparency in models, ethical procedures and responsible AI in order to best comply with guidelines for developing trustworthy AI systems. 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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8 considerations for buying versus building AI
Business leaders should consider their employees' technical expertise, technology budgets and regulatory needs, among other factors, when deciding to build or buy AI. 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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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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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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5 examples of effective NLP in customer service
Through use cases such as chatbots, recommendation systems and customer relationship management, NLP and AI are playing an important role in enterprise customer service. 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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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'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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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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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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Using ModelOps, a financial services company scales out
Using model operations (ModelOps), a fintech startup was able to scale up its model deployment quickly, while also maintaining model governance at scale. Continue Reading
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Supercomputer consortium powering COVID-19 treatment research
Supercomputers, AI and high-end analytic tools are each playing a key role in the race to find answers, treatments and a cure for the widespread COVID-19. Continue Reading
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Text search tool makes finding documents easier
Using a visually appealing approach, Keeper.fyi enables users to search text documents, images, and graphs and charts quickly and efficiently. Continue Reading
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City of Knoxville deploys a web and SMS chatbot
By using a chatbot from text messaging vendor Quiq, the city of Knoxville, Tenn. can give its residents information on the coronavirus, the 2020 census, and the city's social services. Continue Reading
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AI and RPA are here to stay
The coronavirus pandemic has caused enterprises to rely more on AI technologies as they are forced to lay off employees or temporarily close their offices. Continue Reading
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Using AI in AML fights fraud while protecting privacy
Money laundering and fraud remain a risk for financial institutions, but AI can act as a useful tool against a constantly evolving financial enemy. Continue Reading
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Common sense in AI remains elusive
While AI and machine learning have made major improvements and advancements to computers, common sense in AI has proven to be a significant challenge. Continue Reading
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Data center energy usage combated by AI efficiency
Though often forgotten by the general public, data centers account for 1% of the world's energy consumption. Explore what brought about data centers and how AI can be used to help mitigate their presence. Continue Reading
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AI in mining takes root in the industry
Executives from data science vendors Kespry and Descartes Labs discuss the importance of AI in the mining industry, a sector that is still fairly new to AI technologies. Continue Reading
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Science fiction vs. reality: A robotics industry overview
Robots have made their way into industrial, manufacturing and military settings, but the robots of science fiction remain a long-term goal rather than a reality. Continue Reading
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Using automated machine learning for AI in insurance
Using dotData, an automated machine learning vendor, one of the largest insurance firms in Japan built out an AI platform that provides a personalized experience to customers. Continue Reading
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RPA adoption trends point to broadening use cases
RPA is frequently discussed, but here we sort out the potential of this technology -- and the limiting factors that prevent it from living up to the hype. Continue Reading
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Advanced AI in financial services boosts fraud detection, efficiency
Financial firms plan to invest more into R&D on AI and plan to deploy advanced AI, like deep learning, within the next two years, according to a new survey. Continue Reading
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The AI accelerator chip can make AI accessible to all
Specialized AI chips released by companies like Amazon, Intel and Google tackle model training efficiently and generally make AI solutions more accessible. Continue Reading