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Enterprise applications of AI

• Enterprises need to develop an AI strategy now

  Business leaders who approach AI as a future concern are likely to miss the boat on this influential technology. The time to explore AI implementation is now. Continue Reading

• IBM Think 2019 coverage: Spotlight on data and AI analytics

  This guide compiles news, analysis and trend stories from IBM Think 2019 and before the conference, focusing on IBM's AI, advanced analytics and data management technologies. Continue Reading

• More AI in retail stores means more personalization

  Cheaper and more easily accessible AI developer tools are part of the reason why traditional retailers are better at marketing personalized experiences to customers. Continue Reading

• New deep learning techniques take center stage

  The days of simple, linear regressions powering machine learning are on their way out, as newer, more powerful deep learning techniques find a range of enterprise use cases. Continue Reading

• Footasylum drives growth with AI in retail business tools

  AI-driven marketing tools from Peak, an AI and analytics services vendor, has helped apparel seller Footasylum better personalize marketing to customers. Continue Reading

• AI for project management makes projects more strategic

  Enterprises are increasingly incorporating AI into their project management processes to make projects more strategic and to make better use of the data created by these processes.Continue Reading

• Agricultural AI yields better crops through data analytics

  The use of agricultural AI optimizes the farming industry by decreasing workloads, analyzing harvesting data and improving accuracy through seasonal forecasting.Continue Reading

• AI in 2019 will be all about bots and pre-trained models

  2019 promises to be a big year for AI, as we're likely to see some trends -- such as adoption of virtual assistants and strong venture capital funding -- continue and others emerge.Continue Reading

• Davenport: AI-based projects should be focused in scope

  New AI projects in enterprises should focus on achievable goals rather than try to reinvent business processes or products and services, Tom Davenport says.Continue Reading

• 5 trends in AI that shaped 2018

  2018 was a big year in the world of AI. Here we look at five of the leading trends in the use of AI to see how they set the stage for what should be further gains next year.Continue Reading

• Impact of AI on business still more limited than some hoped

  Most businesses have yet to feel the full effect of AI, as enterprises labor to determine where and under what conditions the technology can most effectively be deployed.Continue Reading

• Compliance.ai uses Tibco Cloud Mashery for API mastery

  Compliance.ai, a compliance and regulatory management platform vendor, uses Tibco Mashery to help manage and compile many different APIs and data sources.Continue Reading

• NLP vs. NLU and the growing ability of machines to understand

  NLP and NLU technologies are becoming more prominent in the enterprise. The former simply parses words, but the latter aims at a deeper level of understanding.Continue Reading

• AI in fashion design and retail takes center stage

  AI and fashion are a natural pairing as clothing designers and retailers are using technology to monitor what's hot and improve the efficiency of manufacturing and supply chains.Continue Reading

• Jumio identity verification technology benefits from AI

  ID verification technology is boosted by products of AI and machine learning, including natural language processing, image processing and biometric tools.Continue Reading