At the intersection of intelligent analysis and technology, companies are starting to see the long -awaited advantages of AI.
Subjects
Artificial intelligence and commercial strategy
The initiative of the artificial and commercial intelligence strategy explores the growing use of artificial intelligence in the business landscape. Exploration specifically examines how AI affects the development and execution of strategy in organizations.
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After years of hope and promise, 2018 could be the year when artificial intelligence (IA) has gained a significant traction in fortune companies 1000. This is a key discovery of New Partners’ Annual surveyPublished for the first time in 2012. The 2018 survey, published on January 8, represented nearly 60 Fortune 1000 companies or the industry leader, with 93.1% of respondents to the survey identifying themselves as level C executive decision -makers. Among the 2018 participants in the 2018 survey were Bellwether companies, including American Express, Capital One, Ford Motors, Goldman Sachs, Metlife, Metlife Morgan Stanley and Verizon.
The main conclusion of the 2018 survey is that 97.2% of managers crush that their companies invest in the construction or launch of Big Data and AI initiatives. Among the leaders interviewed, an increasing consensus emerges that the initiatives of the AI and the Big Data become closely linked, 76.5% of the managers indicating that the proliferation and the greatest availability of the data are Empower AI and cognitive initiatives within their organizations.
The results of the survey clearly indicate that leaders now see a direct correlation between the capacities of the Big Data and the initiatives of IA. For the first time, large companies report that they have direct access to significant volumes and sources of data that can fuel AI algorithms to detect models and understand behavior. No longer depends on the data subsets to carry out analyzes, these companies combine megadata, AI algorithms and calculation power to produce a range of trade benefits of real-time consumption approval to new product offers. Companies such as Americaan Express and Morgan Stanley have publicly shared stories of their successes in the past year.
Disruption
Participants in the survey made up executives representing industries with high data intensity, in particular financial service companies, which represented 77.2% of respondents to the survey. Financial service companies have long been at the forefront of the industry due to the large volumes of transactional data and customers they maintain, and they have developed robust data management and data governance processes over a period of decades. These organizations were at the forefront of using the analysis to manage risks, assess customer profitability and identify target market segments. Industries such as life sciences, although more recent in data management, have large benchmarks of scientific data and patients who have become largely unexploited compared to the potential for insight.
Now many of these consumer companies face threats of data -based competitors that do not have