Data and AI Trends 2024
Trend2
3 minute read
The roles of data and AI will blur.
80% of respondents agree that the lines between data roles are starting to blur.
Why should you care?
1
As the use of AI becomes more widespread, the speed at which companies can go from raw data to AI is becoming increasingly important.
2
The organizations that master this process the fastest will come out on top, as they’ll be able to provide superior customer experiences.
3
As processes are streamlined, the roles of data and AI will become increasingly blurred; with formerly siloed teams working more closely together.
Many data analysts are now taking on responsibilities that were traditionally reserved for data scientists and vice versa.
More than half (54%) of digital leaders say skills shortages prevent them from keeping up with the pace of change. Data analytics and engineering, AI, and business analytics are the most scarce skills within organizations.
Nash Squared Digital Leadership Report, 2023.
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Gen AI could change that for good.
For instance, new tools can:
- Suggest the new lines of code required to update a financial-reporting system.
- Outline the A and B versions of marketing campaigns.
- Create first drafts that human employees can take and implement into live production environments.
“In 2024, the separation between data and AI is dissolving. It's no longer about having a data strategy and a separate AI strategy – it's about one integrated approach that leverages Gen AI and automation to turn all types of data - structured and unstructured - into insights and immediate, impactful business actions.”
“In 2024, the separation between data and AI is dissolving. It's no longer about having a data strategy and a separate AI strategy – it's about one integrated approach that leverages Gen AI and automation to turn all types of data - structured and unstructured - into insights and immediate, impactful business actions.”
“The most transformative aspect of 2024's data and AI landscape isn't just about efficiency – it's about democratization. By seamlessly interconnecting these technologies, we empower not just data scientists, but business users across the organization to unlock actionable insights and drive innovation.
“The most transformative aspect of 2024's data and AI landscape isn't just about efficiency – it's about democratization. By seamlessly interconnecting these technologies, we empower not just data scientists, but business users across the organization to unlock actionable insights and drive innovation.
Inside our one-of-a-kind approach.
Google Cloud helps organizations unify data and connect it with groundbreaking AI to unleash transformative insights and personalized experiences.
By harnessing the simplicity, scalability, security, and intelligence of Google's unified data and AI approach, businesses can unlock the full potential of their data in a single, streamlined solution.
Because Google Data Cloud consolidates workloads and manages the entire data life cycle, data teams are empowered to develop modern, data-driven applications using popular open-source engines and models.