In the age of disruption, complacency is an investor’s biggest enemy

The difference today is that it no longer takes 30 years for an innovation to become disruptive. Take for example the roll out of Airbnb and its impact on the hotel industry; Uber’s low-cost ride sharing, which will soon make city controlled high-cost taxis obsolete; Amazon’s online business, which is threatening higher cost big-box retailers such as Best Buy; and streaming services such as Spotify and Netflix, which are making CDs and DVDs a thing of the past.

Source: In the age of disruption, complacency is an investor’s biggest enemy

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How to build a future-proof business: 4 real-world applications of cognitive solutions – IBM Watson

Our current IT systems are being rapidly replaced by cognitive systems that continuously understand, reason and learn like humans do. Unlike older, programmable systems, a cognitive system can ingest and understand large amounts of data, in all its forms (including unstructured). A cognitive system learns from all the data it reads, and from each interaction with the experts and users that train it. It learns from both successes and failures, and it never stops learning.

Source: How to build a future-proof business: 4 real-world applications of cognitive solutions – IBM Watson

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How Natural Language Processing is transforming the financial industry – IBM Watson

The exponential growth in data from the Internet, social media and personal devices is providing enterprises with unprecedented opportunities to use digital information to improve their businesses. To an extent, sophisticated analytics programs can help businesses utilize their data by searching for and revealing patterns hidden in structured data, such as spreadsheets and relational databases.

Source: How Natural Language Processing is transforming the financial industry – IBM Watson

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Disrupting Industries With Cognitive Computing

With cognitive computing, we are now able to unlock the value in ALL the data — from internal, external and even publicly available sources — available to a business. Much of this data was previously inaccessible as it existed in was unstructured (documents, emails, social media posts and images etc.), or was dispersed among any many systems and silos. Hear how two companies are already using cognitive computing to disrupt their industries:

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How to Transform a Traditional Giant into a Digital One

Some leaders will ignore the trend, as happened at Nokia, or remain on the defensive, as reflected in Walmart’s delayed response to Amazon. But others know it is not going away and that they have no choice but to transform the company. That realization creates more anxiety than insight into what to do. CEOs are on the hunt to understand who has done what, and who has succeeded. They want to know, does a legacy company really have a chance of transforming itself into a math house? Can it do so at the speed of a start-up? Yes. On both counts.

Source: How to Transform a Traditional Giant into a Digital One

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Is the Life Expectancy of Companies Really Shrinking? – Only Dead Fish

It’s difficult to navigate through all the myriad factors to identify what might really be behind this picture, but perhaps the real story is less about the impending death of large businesses and more about their need to adapt – to move through business and product life cycles more quickly than before, to be more focused on systematic experimentation and organising swiftly around opportunity.

Source: Is the Life Expectancy of Companies Really Shrinking? – Only Dead Fish

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