Build a Better Recommendation Engine
Recommendation engines can be used across industries to provide value either to end customers or to employees of the organization itself.
Learn MoreIn the face of a complex and fast-evolving MarTech ecosystem, marketing departments experience difficulty implementing and connecting all these technologies. The increasingly AI-driven transformation in marketing and business also means a fair bit of change not only at the tactical and organizational levels, but also at an individual upskill level, with the continuing education marketers will need to stay current.
Today’s marketing teams have no shortage of business questions they want to solve, yet they run into all kinds of challenges when trying to make AI a reality, including:
Avoiding AI in marketing could lead to big consequences down the road, such as a loss of market share and the creation of a deep technical debt compared to companies that have made AI an integral part of their market strategy.
What are the next steps that marketing professionals – and wider organizations – can take now to adapt to the data-driven times?
To compete and stay relevant in this rapidly changing world, businesses and marketers need to embrace the idea of using data and AI for their marketing activities. It’s crucial for marketing teams to leverage AI; If you don’t, you risk falling out of sync with customers and losing the competitive edge as consumers turn to AI solutions as well.
For marketing departments in a data-fueled organization, this means centralizing data (including projects, processes, and knowledge surrounding it) in a shared environment, allowing all team members to pick up the work of their colleagues and to collaborate efficiently on data projects. Dataiku is the platform democratizing access to data and enabling companies to build their own path to Enterprise AI.
Dataiku is for:
Churn prediction is a relatively quick win with machine learning, and its potential value to an organization is staggering.
Read moreRecommendation engines can be used across industries to provide value either to end customers or to employees of the organization itself.
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 MoreMarketers can improve holistic attribution metrics by leveraging AI to track consumers at every stage of their journey.
Learn MoreSee how Trainline data engineers have become 3x more efficient in creating aggregated, centralized dashboards focused on Trainline marketing acquisition efforts.
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