Features

Features

• What is RPA technology and what can it do for your business?

  RPA tools play an important role in modern companies because they can automate manual or repetitive human tasks, freeing workers to focus on more important work.  Continue Reading

• Use of AI in payments industry is set to explode

  Payment processors are making wider use of AI technologies as part of an effort to make better use of their vast troves of data and connect more directly with customers.  Continue Reading

• Berklee uses SnapLogic for its AI in higher education needs

  Berklee College of Music needed intelligent integration for its two student portals after a merger with the Boston Conservatory. The college chose SnapLogic to connect the systems.  Continue Reading

• Grammarly AI and an update to the writing tool

  A Grammarly update adds a new consistency checker tool to the writing platform that uses AI to automatically scan for multiple writing styles within a single document.  Continue Reading

• ShopRunner uses Databricks for machine learning in retail

  Databricks user ShopRunner talks about the tools showed at Spark + AI Summit 2019, such as MLflow and Databricks Delta Lake. And Datameer reveals new Databricks integration.  Continue Reading

• 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