Artificial intelligence (AI) is changing the way we live, work, and interact with the world around us. And like it or not, it’s here to stay. While this new wave of AI offers us a world of opportunity, it also comes with some challenges.
To help you navigate this new, AI-driven era, we asked leading data experts to share their perspectives and advice when it comes to the strategic adoption of AI in 2024 and beyond. Here’s what they had to say.
Data Master Perspectives: What to Expect in 2024 and Beyond
Salema Rice, Chief Executive Officer and Founder of CDO Today calls generative AI (GenAI) “the first real inflection point.” And we couldn’t agree more. But to capitalize on the power GenAI provides, she advises data leaders that they must prioritize improving the quality of their data by creating data products that deliver the data that is most critical for business decisions.
Improving data quality was a theme we heard from all of our data leaders. And it’s no surprise, really. For years, organizations have struggled with improving the quality of their data. But today, having high-quality, trustworthy data is even more important. Dr. Eva-Marie Muller-Stuler shared that the topic of ethical and responsible AI is emerging as one businesses must address sooner rather than later. After all, data powers AI. When good, trustworthy data goes in, good, trustworthy results come out. And when bad data goes in, well, you can fill in the rest.
Another insight our data leaders shared was the importance of collaboration between data teams and business teams. Joel Shapiro, Clinical Associate Professor of Data Analytics at Northwestern University’s Kellogg School of Management shared that he encourages data leaders to be problem spotters - not problem solvers. By surfacing insights, data teams can become a true partner to the business, empowering them to solve business challenges.
4 AI Trends to Watch in 2024
As we head into 2024, excitement about the potential of AI continues to build. We’ve identified four trends to keep an eye on this year so your business can stay ahead of the opportunities and challenges this AI-driven era offers.
Trend #1: AI is here to stay. Now what?
Adopting AI is no longer a question. It’s an imperative. How will you embrace it in a responsible way?
Trend #2: Data quality matters
When AI models use high-quality data, their results will be accurate. That’s why the success - or failure - of AI depends on the quality of the data.
Trend #3: Data quality in an AI-driven era: Why MDM is no longer sufficient
When it comes to delivering clean, trustworthy, consumable data at scale for use in AI, traditional MDM solutions can’t keep up. The good news is, data products can.
Trend #4: The new data culture
Data cultures are evolving, making collaboration, ethical considerations, and compliance with emerging regulations more important than ever before.
Thriving in an AI-Driven Era
Organizations that fail to embrace AI in a responsible way will fall behind or go out of business. But organizations that are open to the possibilities of AI will thrive.
To succeed with AI, data leaders must prioritize improving data quality through the use of data products. Doing so will enable them to transform their business by powering the kinds of experiences customers expect, spotting new opportunities to grow the business, and safeguarding the organization from unforeseen risks.
By providing consumable data sets that are high-quality, trustworthy, and accessible, data products form the foundation for analytical and operational use cases so that people throughout the business can embrace AI and solve business challenges.
Uncover more valuable insights and advice from expert data masters, dig deeper into the four trends to watch, and learn why data products are better than MDM when it comes to delivering the clean, accurate, continuously-updated data your business needs to embrace AI and drive business outcomes. Download our e-book today.