Manage
Learn to apply best practices and optimize your operations.
Manage
Learn to apply best practices and optimize your operations.
Tailored content heads machine learning in digital marketing
Consumers are no longer engaged with content alone -- companies need to create a robust digital marketing strategy personalized to each consumer. Machine learning is here to help. Continue Reading
Data visualization in machine learning boosts data scientist analytics
Data scientists offer practical insights into the role of visualization tools in building, exploring, deploying and monitoring their machine learning models. Continue Reading
Using small data sets for machine learning models sees growth
While massive data sets allow for easy training, developers are using new techniques to mine and transfer data that allows for training on limited labeled information. Continue Reading
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Training data in facial recognition use cases reveals bias
Applications of facial recognition technology show incredible promise in law enforcement and personal privacy, but the risks are holding enterprises back from adoption. Continue Reading
Fintech and retail lead the fray in AI adoption by industry
Though AI enhances and drives the financial and manufacturing industries, others remain wary of the investment capital and research needed to insert AI into their enterprise. Continue Reading
How to create a data set for machine learning with limited data
A shortage of data for machine learning training sets can halt a company's AI development in its tracks. Turning to external sources and hidden data can solve the problem.Continue Reading
AI in content management revolutionizes unstructured data
Managing content and data can take business process from unrefined to streamlined. Enterprises can slowly apply technologies to climb the ladder of cognitive content intelligence.Continue Reading
Using enterprise intelligent automation for cognitive tasks
RPA is no longer comprised of simple chatbots or repetitive programmed tasks. Enterprises are looking at RPA to move up the ladder of cognitive automation.Continue Reading
The future of data science and AI points to automatic tools
The relationship between data scientists and companies using AI is evolving rapidly, shifting from a focus on trained professionals to experienced employees with automated tools.Continue Reading
GPU analytics speeds up deep learning, other data insights
GPU-based systems have become a popular platform for deep learning applications, and they're now also being used to accelerate analysis of IoT and geospatial data.Continue Reading
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Pushing past chatbot challenges will secure their longevity
For chatbots to remain in enterprise futures, developers and data scientists need to get flexible. From open source to intelligent sharing, chatbot collaboration will boost benefits.Continue Reading
AI and big data go perfectly together -- sometimes
The combination of big data and AI tools enables new forms of analytics and automation, but use of the technologies in enterprise applications is still evolving.Continue Reading
AI network security tool autonomously does microsegmentation
To ensure network security, a U.S. law firm has turned to automated network microsegmentation vendor Edgewise. The startup uses machine learning to deploy microsegmentation.Continue Reading
AI in professional services revolutionizes white-collar jobs
Professional services and consulting firms are adopting AI at a rapid rate, even though these types of jobs, which mainly focus on interpersonal interaction, may not seem like strong targets for automation.Continue Reading
How to improve candidate matching with AI in HR recruitment
AI in HR recruitment can source talent externally but can also be used to improve internal projects. AI platforms can match qualified existing employees to potential open projects.Continue Reading
How to recycle data from AI for employee engagement efforts
By reusing the data collected for AI algorithms and the insights they generate, enterprises can boost employee performance and improve business processes.Continue Reading
Better together: Predictive analytics and AI boost each other
Enterprises have long seen the value of predictive analytics, but now that AI is starting to influence forecasting tools, the benefits may start to go even deeper.Continue Reading
Machine learning bots enable immediate paperless workplaces
Document digitization allows for the automatic extraction of data through rapid bot technology, as companies aim for a cost-effective, eco-friendly paperless workplace.Continue Reading
AI bias, for good or ill
Bias in AI algorithms can produce harmful results, but it can also help train models. This third part of a three-part series on AI ethics explains the pros and cons of AI bias.Continue Reading
Wield AI to personalize consumer products and aid logistics
Companies using AI to sell consumer products seek brand loyalty by using personalization, online sales capabilities and optimized inventory managementContinue Reading
Data scientists urged to take AI security threats more seriously
AI security hasn't been the top concern of most data scientists using machine learning. But as these systems move closer to the core of the business, security is becoming critical.Continue Reading
Address anonymity and data privacy in chatbot security
A key to successful enterprise chatbot security is to program your chatbot to recognize personal or sensitive information and treat it accordingly.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
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
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
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
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
Data science skills spawn success in AI, big data analytics
AI and big data analytics initiatives require a broad set of skills, and putting those skills in place often takes teams of data scientists with different strengths.Continue Reading
Reskilling the analytics team: Math, science and creativity
Technical skills are a must for data scientists. But to make analytics teams successful, they also need to think creatively, work in harmony and be good communicators.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
Threats of AI include malicious use against enterprises
As sophisticated tools become easier to use, enterprises need to protect themselves against AI threats to ensure they do not become the victims of malicious attacks.Continue Reading
How one company thinks chatbots and AI can change insurance
Insurance agency management company In-Fi is hoping AI chatbots can streamline homeowner insurance applications and bring the process in line with customers' expectations.Continue Reading
Harman's plan for AI in cars moving full speed ahead
Can an AI virtual assistant in every car save the auto industry from sluggish sales and an uncertain future? Audio component manufacturer Harman argues that it can help.Continue Reading
More curiosity could help narrow AI tools handle broader uses
Today, engineers are developing AI tools primarily for individual applications, but programming a facsimile of curiosity into algorithms could help make them more general purpose.Continue Reading
AI virtual assistant tools prove better for customer service than chatbots
AI virtual assistant software is increasingly surpassing chatbots and natural language search, as enterprises see deeper value in enabling true conversation.Continue Reading
Humans and AI tools go hand in hand in analytics applications
Companies are keeping data analysts and other workers in the loop with AI applications to check the results generated by automated algorithms for accuracy, relevance and missing info.Continue Reading
Insurer's machine learning use case: Changing driver behavior
Machine learning tools can be put to use for more than targeted marketing and product recommendations. Auto insurer HiRoad is using them to help create safer drivers.Continue Reading
Artificial intelligence data storage planning best practices
AI storage planning is similar to the storage planning you're used to: Consider capacity, IOPS and reliability requirements for source data and the application's database.Continue Reading
Chatbot applications must get better at chatting to engage users
Today's AI chatbots are good at taking orders and delivering scripted responses, but experts say tomorrow's chatbots need to be more conversational in order to deliver bigger value.Continue Reading
Wayfair's chief architect talks AI-driven innovation, impactful IT
Wayfair sells home furnishings, but under the covers, it's a tech juggernaut. Chief Architect Ben Clark explains how AI-driven innovation propels the business.Continue Reading
Why machine learning models require a failover plan
Flawed machine learning models lead to failures and user interruptions. Expert Judith Myerson explains the causes for failures and how a failover plan can improve user experience.Continue Reading