We've spoken about the challenges facing AI adoption in the cloud computing space, and we've discussed the potential benefits of that adoption. We now combine those considerations to paint a realistic picture of AI's future in cloud computing.
These industry professionals stopped by to share their views on the future of cloud computing. Here's what they had to say:
1. Brian Ray, Managing Director of Machine Learning for Maven Wave
“Cloud computing and AI will someday provide a more intuitive, holistic, complete ecosystem with the cost benefit. AI will not be as easy as turning on a light switch, but it will replace the light switch altogether. No longer will we battle with man vs machine; instead it will become man and machine. Overall, the day-to-day quality of life will improve. The only boundaries will be ones of privacy, ethics and social issues; those too may be decided or become more finite by the introduction of the mechanisms found in AI.”
2. Nima Negahban, CTO of Kinetica
“Giant investment in AI and cloud computing will only increase accessibility and broaden use cases for the business world. Innovation in AI will cause enterprises that do not currently see clear cases for AI adoption to find AI as helpful nearly everywhere, driving more users to flock to the cloud.”
3. Steven Mih, CEO of Alluxio
“AI workloads and their data sources will only continue to grow, exponentially. All businesses will be AI-driven. Being able to not only manage this growth but harness it effectively is where the future of AI in cloud computing is headed. Technologies that orchestrate AI data across compute frameworks, clouds, and storage systems are important now, but will become even more critical as data workloads explode. Specialized hardware like GPUs will become even more embedded with AI workloads and deep learning with their high memory bandwidth and ability to do parallel computation. Companies will need data orchestration technologies to bring AI data closer to analytics, on-demand.”
4. Bret Greenstein, Vice President and Global Head of Artificial Intelligence at Cognizant
“Automation. Evolutionary AI in the cloud, for example, will automate the generation and refinement of AI models. New technologies will also automate and streamline data pipelining to make it easier to set up and scale their AI projects.”
5. Carl Hasselskog, co-founder and CEO of Degoo
“Technology is constantly evolving to fit the changing needs and expectations of consumers. We see AI being able to securely build communities through user data and create collective experiences based on common interests and real-life experiences. People today can connect digitally through social media and messengers, among more channels, and I believe the key functions of cloud technology – storing files, re-experiencing photo memories and sharing information – will further incorporate AI to better connect people digitally based on commonality.”
6. Rob Clyde, Board Director at ISACA
“We are still in early stages. AI and cloud computing are two of the key technologies that are changing the world. The combination will be powerful and quickly change the nature of almost every service and product that we use. The changes and challenges this will cause over the next decade throughout the world will be breathtaking. We will have to grapple with the ethical use of AI, and sometime this decade we will come up with AI standards that will largely ensure safety, security, and privacy.”
7. Christine Livingston, AI Chief Strategist at Perficient
“As the democratization of AI continues to expand and improve overall accessibility, more industries are going to start adopting these types of solutions. Two industries that have been slow to adopt new technologies are the healthcare and financial industries, but momentum appears to be gaining with respect to AI and cloud computing.”
8. Michael Harrison, Managing Partner at Winterberry Group
“Winterberry Group believes that we will begin to see a centralized decision engine powered by AI. Currently, each application is building out decision engines into their technology, causing different customer experiences by channel. A centralized decision engine with AI will enhance marketers ability to deliver seamless omnichannel customer experiences. The AI-powered centralized decision engine will lead to headless applications, where the applications focus on delivery and not the intelligence/decisioning.”
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