Features

Features

• AI for knowledge management boosts information accessibility

  Integrating AI for knowledge management systems builds intelligent searches. Enterprises benefit from streamlined, smart content platforms that make information accessible.  Continue Reading

• Future of AI in transportation goes beyond self-driving cars

  Transportation and logistics companies are eying an ever expanding role for AI in their products and services, ranging from safer cars to prompter shipments.  Continue Reading

• AI vendors attack data scientist shortage with trainings

  Internal data science training programs have helped vendors when colleges and universities have failed. Training is helping to fix the data scientist shortage.  Continue Reading

• Clean data for machine learning is key to successful AI

  Many enterprises think their AI projects should start with massive amounts of data. But clean data for machine learning should be their first step toward AI.  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

• Federated deep learning offers new approach to model training

  Training deep learning models puts a massive strain on enterprise infrastructure, but federated learning, which trains models on endpoint devices, could lessen some of the demand.  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

• Enterprises are crowdsourcing AI development

  By crowdsourcing AI development, enterprises can broaden the knowledge base of their machine learning applications, and early adopters are showing promising results.  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 management  Continue Reading

• How to address the hidden risks of algorithmic decision making

  From biased customer interactions to harmful treatment recommendations, some risks of automated decisions have yet to be resolved. A Wharton School professor has a way out.  Continue Reading

• 3 ways to create an AI ethics framework for responsible tech

  AI can often reflect the biases and limits of its human developers. Experts say diversity, review boards and a strong AI ethics framework will lead the way toward ethical AI.  Continue 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

• Enterprise AI collaboration tools take tips from dating apps

  Enterprise AI collaboration is turning to an unlikely source for inspiration: dating apps that have long used machine-learning based personalization and communication.  Continue Reading

• March Madness analytics, AI help data scientist fill bracket

  To create his March Madness bracket predictions, the head of data science at DataRobot uses a host of machine learning algorithms and some predictive analytics.  Continue Reading