Features

Features

• More to machine learning platforms than meets the AI

  To reach full analytics potential, machine learning platforms powered by AI must provide scalability, handle multiple models, integrate with data sources and be cloud-friendly.  Continue Reading

• Agricultural equipment maker uses AI for customer experience

  Using AWS services Redshift, S3 and SageMaker, as well as third-party tools, AGCO has created new AI marketing tools and a customer portal to better compete in a tight market.  Continue Reading

• AI for digital marketing heavily used in the gaming industry

  AI in gaming has evolved beyond automating character and fictional world development. Gaming companies are now using AI to better market to existing and potential players.  Continue Reading

• Enterprise consumer relationships are building trust in AI

  Transparency is an increasingly important component of consumer trust. If you want to win over consumers whose data is being collected, start with explainability and collaboration.  Continue Reading

• AI in financial services helps speed consumer interaction

  By using AI in finance, financial organizations are able to speed processes that otherwise would require more manual input from employees or consumers.  Continue Reading

• How AI in physical security makes public places safer

  Deep learning-based tools are increasingly finding a home in physical security to enhance the protection of real-world assets and make public spaces safer.  Continue Reading

• Automated transcription services for adaptive applications

  NLP technologies have advanced in recent years. Using them, startups have been able to create automatic transcription software for adaptive applications.  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

• AI in the legal industry focuses on augmenting research

  From billable time invoice generation to patent attribute data mining, the implementation of AI in law firms has aided in reducing low-value, time-consuming paralegal work.  Continue Reading

• Consider these 12 RPA software vendors for deployment

  RPA technology can help companies successfully automate their tasks and processes if they can sift through the options to determine the right system for their enterprise.  Continue Reading

• 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

• Experts discuss pressing data science problems and solutions

  Most data science projects end up facing similar problems, such as lack of robustness and data quality issues. In this feature, experts offer tips on how to overcome these challenges.  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

• The future of voice assistants is multiturn conversations

  The future looks promising for voice assistants, but for them to really live up to the hype, they are going to have to improve at true multiturn conversations.  Continue Reading

• AI acquisitions lead to consolidation

  Analytics and AI startups emerge regularly and grow quickly. Frequent acquisitions, however, seem to be creating a more consolidated industry, cementing some vendors at the top.  Continue Reading