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Enterprise applications of AI

• Learn the benefits of RPA and the drawbacks by industry

  RPA is a hot IT commodity. Discover more of the benefits (and drawbacks) these tools can usher into organizations and how they can enhance workflows in different industries. Continue Reading

• 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

• 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

• Human-like AI quest drives general AI development efforts

  This guide explores efforts to develop general AI tools with human-like intellectual capabilities and the challenges of creating algorithms that can think like people do. Continue Reading

• Artificial intelligence creativity tools mimic human ability

  Computational creativity seeks to understand and reproduce facets of human creativity. From songwriting to image creation, artificial intelligence creativity tools are on the rise. Continue Reading

• 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 for machine learning are giving way to more powerful deep learning techniques that point the way toward general AI capabilities.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