New research from Capgemini's Digital Transformation Institute shows that four out of five companies implementing AI have created new jobs as a result of AI technology Paris, September 7, 2017 – Capgemini, a global leader in consulting, technology and outsourcing services, has today announced the findings of "Turning AI into concrete value: the successful implementers' toolkit", a study of nearly 1,000 organizations with revenues of more than $500m that are implementing artificial intelligence (AI), either as a pilot or at scale. The research both counters fears that AI will cause massive job losses in the short term, as 83% of firms surveyed say AI has generated new roles in their organizations, and highlights the growth opportunity presented by AI: three-quarters of firms have seen a 10% uplift in sales, directly tied to AI implementation. The report, which surveyed executives from nine countries and across seven sectors, found that four out of five companies (83%) have created new jobs as a result of AI technology. Specifically, organizations are producing jobs at a senior level, with two in three jobs being created at the grade of a manager or above. Furthermore, among organizations that have implemented AI at scale, more than 3 in 5 (63%) said that AI has not destroyed any jobs in their organization.
Perceiving the pandemics' hard reset as a chance to grow stronger, more resilient, and resourceful dominates manufacturers' mindsets who continue to double down on analytics and AI-driven pilots. Combining human experience, insight, and AI techniques, they're discovering new ways to differentiate themselves while driving down costs and protecting margins. And they're all up for the challenge of continuing to grow in tough economic times. Boston Consulting Group's recent study The Rise of the AI-Powered Company in the Postcrisis World found that in the four previous global economic downturns, 14% of companies were able to increase both sales growth and profit margins as the following graphic shows: AI Is Core To Manufacturing's Real-Time Future Real-time monitoring provides many benefits, including troubleshooting production bottlenecks, tracking scrap rates, meeting customer delivery dates, and more. It's an excellent source of contextually relevant data that can be used for training machine learning models.
'Organizations are pivoting towards operational analytics as it can both increase the efficiency and performance of the back office as well as boost the customer experience in the front office.' comments Anne-Laure Thieullent, Head of Big Data in Europe, for Capgemini's Insights & Data global practice. 'However, despite the focus, there are factors limiting the success of these projects; specifically siloed datasets, fragile governance models, inability to harness third party data sources, and an absence of a strong mandate from leadership teams.' 'Going Big: Why Organizations Need to Focus on Operations Analytics' from Capgemini Consulting's Digital Transformation Institute mapped organizations based on the extent to which their analytics initiatives were integrated with core operations processes and their success rate with initiatives, identifying four stages of operational analytics maturity: Capgemini Consulting's Digital Transformation Institute applied the four stages of operational analytics maturity to build up a geographic picture of adoption and success rates around the world. US companies are not only the most advanced with their analytics initiatives but also the most successful; 50 percent have successfully realized the desired benefits from operational analytics compared to only 23 percent of Chinese respondents, despite China ranking highly for level of implementation. A strong contributing factor of the success of US companies is their focus on setting up effective data and governance processes. The prominence of US organizations tallies with a recent resurgence in US manufacturing and will drive US manufacturing competitiveness in the coming years.
Paris, March 26, 2019 – A new study from the Capgemini Research Institute has found that just 10% of major automotive companies are implementing artificial intelligence (AI) projects at scale, with many falling short of an opportunity that could increase operating profit by up to 16%. The research also shows that fewer automotive companies are implementing AI than was the case in 2017, despite the cost, quality and productivity advantages, many report it delivering. The "Accelerating Automotive's AI Transformation: How driving AI enterprise-wide can turbo-charge organizational value" study surveyed 500 executives from large automotive companies in eight countries, building on comparable study from 2017, to establish recent trends in AI investment and deployment. Scaling of AI has seen a slow growth: Since 2017, the number of automotive companies that have successfully scaled AI implementation has increased only marginally (from 7% to 10%). However, more significant was the increase in companies not using AI at all (from 26% to 39%).
In Europe, 51 per cent of top global manufacturers use at least a single use case of AI in their operations. New Delhi: Europe is leading the implementation process of artificial intelligence (AI) in the manufacturing sector, claims a study by Capgemini Research Institute. More than half of European manufacturers are implementing AI use cases in the sector with Germany as the frontrunner. In Europe, 51 per cent of top global manufacturers use at least a single use case of AI in their operations. While, in Germany, 69 per cent of manufacturers are using AI in their operations, compared to 28 per cent in the US and 11 per cent in China, reveals the study.