IBM Cognitive

How to decode #cognitive business: Learn from successful early adopters.  #AI

  • Our market report, “The cognitive advantage: Insights from early adopters on driving business value,” reveals that early adopters employ cognitive computing for competitive differentiation.
  • In fact, 65 percent say that cognitive adoption is very important to their strategy and success, and more than half regard cognitive computing as a must-have to remain competitive.
  • Early adopters leverage a range of capabilities from machine learning to natural language processing to unlock value from a range of data sources, both structured and unstructured.
  • All told, early adopters are pushing the boundaries of traditional business practices and unlocking groundbreaking services and sources of value.
  • Here are just a few of the ways early adopters are seizing the cognitive advantage:

By becoming a cognitive business, early adopters have been able to evolve customer acquisition, increase customer engagement, and improve customer service.
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Transparency and Trust in the Cognitive Era

IBM establishes guiding principles for the #CognitiveEra. Read them here:  #AI

  • The IBM company will work to help students, workers and citizens acquire the skills and knowledge to engage safely, securely and effectively in a relationship with cognitive systems, and to perform the new kinds of work and jobs that will emerge in a cognitive economy.”
  • Having Ginni post those principles will help the overall understanding about the New Era.
  • I wholeheartedly agree that this new technology will require much learning ahead, and IBM is wise to recognize that this is needed for the future and present generations in order for them to embrace it without fear.
  • Many new technologies have triggered a fear of the unknown, and a large body of science fiction has exacerbated some views.
  • New technologies generates some initial concerns.

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IBM Cognitive

How to decode #cognitive business: Learn from successful early adopters.  #AI

  • Consumer-facing businesses use cognitive tools to tease out key behavioral patterns to reach customers in the right ways and over the right channels.
  • By using cognitive tools to improve their search capabilities, customer care and workflow management, business leaders are accelerating productivity and efficiency.
  • Cognitive technology is helping defense and other intelligence organizations track an unprecedented variety of data to detect signals, protect the public, and direct intelligence resources more effectively.
  • Professional services firms and insurers are employing cognitive solutions to improve sampling and modeling, which is helping them improve client and risk outcomes.
  • Contact centers have turned to cognitive technology to provide more efficient and personalized customer service.

By becoming a cognitive business, early adopters have been able to evolve customer acquisition, increase customer engagement, and improve customer service.
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Is cognitive technology living up to the hype?

Major new insights are in from the front lines of #cognitive and #AI adoption.

  • According to the report, cognitive technology is making good on its remarkable promise to unlock business value.
  • Read our full report: The Cognitive Advantage: Insights from early adopters on driving business value .
  • An IBM study was published today that examines how cognitive technology is being put into practice.
  • Half of early adopters have already seen “major competitive advantage” from adopting cognitive technology, and 58 percent believe it will be a “must have” to remain competitive in three to five years.
  • To reach the conclusions, our researchers surveyed a broad sample of early adopters that embody the diversity of the cognitive market.

An IBM study was published today that examines how cognitive technology is being put into practice. The research, IBM’s first quantitative global study of the cognitive market, is based on survey results from more than 600 early adopters. The report, The Cognitive Advantage: Insights from early adopters on driving business value, is headlined by promising evidence that supports the business case for cognitive.
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The source code behind PhD APIs

Are you developing with the latest technology? Take a peek at deep learning source codes:

  • Get sample code for implementing deep learning and natural language processing APIs
  • The code transforms a tedious manual content workflow into a more automated, cost-efficient process.
  • As the API economy enters its second decade, many organizations, from startups to Fortune 500, are recognizing the transformational power of APIs and creating game-changing applications.
  • We partnered with ProgrammableWeb to put together a use case to provide the source code and thinking behind NewsMedia Inc.’s (a fictitious company) implementation of deep learning and natural language processing APIs available on Watson Developer Cloud .
  • Savvy developers know where the APIs are and how to put them to use in a way that enables iterative and agile application development.

Read the full article, click here.


@IBMWatson: “Are you developing with the latest technology? Take a peek at deep learning source codes:”


As the API economy enters its second decade, many organizations, from startups to Fortune 500, are recognizing the transformational power of APIs and creating game-changing applications. Developers now draw from a nearly infinite palette of internal and public APIs in an effort to outsource almost all of their application functionality.


The source code behind PhD APIs