GE Aviation: From Data Silos to Self-Service
GE Aviation's self-service system allows them to use real-time data at scale to make better and faster decisions throughout the organization.
Learn MoreData science, machine learning, and — ultimately — AI can improve efficiencies in every stage of automotive production, enabling organizations to cut costs, better serve customers, and perhaps most importantly develop new, innovative products.
Research and Development: In the future, AI will play a massive role in R&D productivity, preventing expensive R&D projects doomed for failure from being fully realized. This translates to automotive companies saving both time and money, both of which can be focused on projects with more potential as well as other machine learning and AI initiatives outside R&D.
Manufacturing: When it comes to manufacturing, AI-based systems enable automakers to create and manage schedules more effectively, provide improved safety testing, and identify defects in produced components before going into vehicles. Thanks to predictive maintenance, manufacturing can become more efficient and less costly.
Supply Chain: Supply chain data analytics in the automotive industry aren’t new, but what AI can bring is the introduction of new and innovative data sources that help support prudent shipping decisions and minimize risk. With machine learning-driven systems, it is also possible to analyze huge data sets to rank suppliers according to on-time in-full delivery performance, their credit scoring, and evaluations which enable manufacturers to gain greater control over their supply chains, including logistics and management.
Marketing and Finance: In addition to benefiting large swaths of the core business, data science and data analytics in the automotive industry can also be used in lines of business — including marketing and finance — to introduce efficiencies and automation that impact the bottom line.
Dataiku is the platform democratizing access to data and enabling enterprises to build their own path to AI. Hundreds of companies use Dataiku daily to build, deploy, and monitor predictive data flows. For automotive organizations, Dataiku brings:
Predictive maintenance models can empower organizations to get ahead of system failures to tackle infrastructure repairs on their own terms. With Dataiku, predictive maintenance is even easier.
Read moreGE Aviation's self-service system allows them to use real-time data at scale to make better and faster decisions throughout the organization.
Learn MoreAutomation and demand forecasting are at the forefront of supply chain improvements that leverage AI, but organizational culture change is critical to drive true optimization.
Learn MoreThe evolution of AI, machine learning, and data science have been an increasingly integral part of the transformation of many industries, and marketing is no exception.
Learn MoreToday, AI is not a luxury but a necessity for organizations in transportation and logistics industry to gain and keep their position on the market.
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