Features

Features

• Collaborative robots' safety stalls enterprise implementation

  Cobots are promising big gains, especially in enterprises utilizing manual labor. However, due to a number of safety concerns, human workers are still at risk.  Continue Reading

• Full benefits of voice assistant tech yet to be realized

  Voice assistant technology is advancing rapidly, thanks to substantial vendor investment. But a new benchmark report reveals the most popular assistants still leave much to be desired.  Continue Reading

• U.S. spends more on AI as AI in China continues to grow

  Research and development of AI in China continue to grow. Meanwhile, the U.S. plans to up its spending on non-defense AI projects by close to $1 billion in 2020.  Continue Reading

• Use of AI in business requires education, understanding

  AI adoption requires business leaders to have a clear understanding of the technology and its capabilities, as well as how AI can help automate and aid specific functions.  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

• How to choose the right autoML platform for your enterprise

  Before autoML can improve model building and deployment, enterprises need to choose a platform. Here, we evaluate autoML platforms by category, key features and accessibility.  Continue Reading

• Enterprises work toward AI trust and transparency

  If ignored, a lack of trust in AI algorithms could diminish user adoption. To remedy this risk, enterprises are working to make their applications more transparent and explainable.  Continue Reading

• How to solve deep learning challenges through interoperability

  The challenges of training and overseeing advanced neural networks is leading to an implementation bottleneck in deep learning technology.  Continue Reading

• The use of technology in education has pros and cons

  Vendors continue to develop AI in education applications and technologies as students see benefits in using technology in the classrooms and when doing their homework.  Continue Reading

• Consumer goods company Unilever uses Google AI for marketing

  Using Google Cloud products, including Google's Vision API and Natural Language API, Unilever creates innovative and personalized social media marketing campaigns.  Continue Reading

• Choosing the right chip foundation for AI-optimized hardware

  Every enterprise is trying to implement AI and machine learning. But, before AI, before clean data and before platform comparison, enterprises need to find the best hardware to support AI.  Continue Reading

• With ThoughtSpot, GlobalTranz makes AI in logistics platform

  GlobalTranz, a logistics company, uses AI and analytics in logistics to predict driver behaviors and plan shipping routes that will keep the shippers and the drivers happy.  Continue Reading

• 3 GAN use cases that showcase their positive potential

  GANs' ability to create realistic images and deepfakes have caused industry concern. But, if you dig beyond fear, GANs have practical applications that are overwhelmingly good.  Continue Reading

• Bibb County School District cybersecurity efforts use AI

  Using AI-driven cybersecurity from ManagedMethods, a Georgia school district blocks external threats and identifies potentially harmful language in student documents.  Continue Reading

• Key considerations for operationalizing machine learning

  Once a machine learning model is trained, developers need to operationalize it. This turns out to be a significant challenge for many enterprises.  Continue Reading