The past few years have been extremely disruptive. Organizations have faced unforeseen challenges, forcing a shift in thinking and strategy. To help navigate these uncertain times, many businesses have utilized cloud technology, data, and artificial intelligence (AI).
As the correlation between data-driven insight and business success grows ever tighter, the pursuit of data-derived business value will continue. Thus, it’s imperative that organizations address key challenges that prevent them from extracting the full value of data.
During this time, some organizations have been more effective than others at extracting value from data. In a recent HBR-AS survey of 366 executives, 45% were identified as “data-to-value leaders.” These leaders use analytics and AI to adapt and prosper, while other companies have been less willing to invest in these technologies and have struggled to generate value from their data.
On Wednesday, April 5, in a live, interactive HBR-AS Webinar, Alex Clemente explored findings of this survey and share insights on the acceleration in the use of cloud technology.
He then led a discussion with Google’s Justyna Bak, head of product marketing for Data Cloud and Google Cloud’s Bruno Aziza, head of data analytics, about challenges and strategies involving data, analytics, and AI. They shared perspectives on:
- The state of enterprise technology
- Challenges of measuring and reporting on data’s business impact
- How organizations can build the foundation for data analytics and AI
- Why many leaders are democratizing access to data insights