Features

Features

• 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

• Chatbots in customer service find success with focused goals

  Chatbots can be a great adjunct to customer service, but a successful rollout requires careful planning, flexibility and clear objectives.  Continue Reading

• Wayfair takes a dip into NLP image processing technology

  At Wayfair, using computer vision and NLP to understand the meaning behind images and searches is the key to customer recommendation, satisfaction and easy substitutability.  Continue Reading

• Causal deep learning teaches AI to ask why

  Most AI runs on pattern recognition, but as any high school student will tell you, correlation is not causation. Researchers are now looking at ways to help AI fathom this deeper level.  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

• AI for retailers is progressing

  AI in retail adoption has been relatively slow, but it's starting to pick up as retailers see the benefits of AI technologies and the realities of e-commerce competition.  Continue Reading