This podcast episode explores the potential of hybrid cloud and AI in rethinking work. It discusses IBM's role in software, data analysis, and their assistance in the AI journey. The concept of hybrid cloud and challenges in managing multiple cloud environments are explored. The future of technology, real-time monitoring, and predictive maintenance are also discussed.
Data management is essential for successful AI applications in customer service, financial budgeting, and regulatory compliance.
Hybrid cloud technology allows businesses to manage multiple data environments as a single integrated system.
Deep dives
The Importance of Data in AI
One of the main topics covered in the podcast is the importance of data in the field of AI. The guest, Rob Thomas, emphasizes that AI cannot be fully realized until the data problem is solved. He explains that businesses face the challenge of managing disparate data sets from multiple sources, and the difficulty lies in connecting and rationalizing these data sets. Thomas highlights the need for businesses to understand their data in order to gain insights about their customers and products. Successful AI applications in areas such as customer service, financial budgeting, and regulatory compliance rely on effectively collecting, organizing, and analyzing data.
The Role of Hybrid Cloud in Solving Data Challenges
Another key point discussed is the concept of hybrid cloud and its role in addressing data challenges. Thomas explains that most companies have multiple data environments, both on-premises and in public clouds, leading to a fragmented data landscape. Hybrid cloud allows businesses to manage multiple environments as a single technology environment, enabling seamless connectivity and integration of data sets. Thomas acknowledges the complexity of the data problem in hybrid cloud, as different data sources may have different formats and structures. However, he highlights that overcoming this challenge is crucial for businesses to leverage the full potential of AI.
Real-World Applications and Case Studies
Throughout the podcast episode, Thomas shares various real-world applications and case studies that demonstrate the value of AI and data-driven solutions. He mentions working with companies like CVS and Sprint T-Mobile to leverage AI for tasks such as customer service and predictive maintenance. Thomas also emphasizes the importance of empathy, curiosity, and a wide range of skills in building effective AI solutions. He concludes by discussing the potential of quantum computing and predicts that AI will continue to evolve and advance in areas such as customer service, financial budgeting, regulatory compliance, employee experience, and IT operations.
With hybrid cloud and AI, businesses today can challenge the limits of how they put their data to work across the organization. In this episode of Smart Talks, Malcolm talks to Rob Thomas, SVP Cloud and Data Platform at IBM about what’s possible, and the steps businesses can take to access more of their data to help them make more informed decisions.