The Definitive Guide to Connected Innovation Intelligence .

Every year, more than 30,000 new products and services hit the market, but less than five percent succeed. We know that the most successful organizations are consistently examining novel ideas and ways to improve existing products and services. So, why is it so hard for most companies
to launch commercially viable innovations, and more importantly, where are they going wrong? Ultimately, the failure to achieve a return on investment from the development of new products and services is primarily the result of uninformed decision making.
Relying on disparate, outdated data even though this is almost always unintentional leads to lags in innovation and, at times, intellectual property infringement.
Data is fast moving. There are more than two million articles published daily, and this statistic does not include social media posts, patent applications, academic studies and other data that impacts innovation. As a result, it can be difficult at best and impossible at worst to shape a meaningful narrative from an online search. Even for organizations with sophisticated research capabilities, extracting the necessary insights to inform innovation-related decisions is a challenge.
This white paper provides an in-depth look at Connected Innovation Intelligence (CII) and the critical role it plays in driving innovation across multiple industry sectors and global markets. Powered by Artificial Intelligence (AI), CII enables companies to connect millions of updated data sources, segment them by industry and relevance, uncover emerging trends, spot risks, and identify opportunities. CII also empowers organizations to validate and test ideas prior to launch so when they do commercialize new innovations, theres a greater chance they achieve success.

Authors: PatSnap Inc.

Date: 2021

Upload Date: 9/29/2021 4:18:38 AM

Format: mobi

Pages: 87



Language: English



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