Hybrid Cloud Computing and AI: The Future Blend
For several years, cloud computing has been permeating every facet of online activity, and the demand continues to flourish as business adoption grows and vendors seek new revenue sources with their multi-cloud facilities. To support such fast-changing business environment, implementing a hybrid cloud management platform for managing multi-cloud environments has become a priority today. It enables an enterprise operation to unlock new levels of cloud capabilities with a healthy dose of software-as-a-service and platform-as-a-service subscriptions.
Intelligent Hybrid Clouds are ‘The Next’
Businesses are transforming and are undergoing what many call it the fourth industrial revolution. Artificial Intelligence (AI) is already helping reinvent businesses, the global economy, and how people work and coordinate with each other. When it comes to cloud, AI can not only enhance current cloud platforms but also give carte blanche to an entirely new generation of cloud computing technologies.
Artificial intelligence is bound to become ubiquitous in every industry; it will impact the enterprises in more profound ways. The necessity for quicker and real-time decision-making and the recent explosion of data from Internet of Thing (IoT) and applications will reshape every aspect of the enterprise cloud. There will be autonomic, economic-based intelligence to manage multi-cloud environments and ultimately deliver hybrid cloud computing capabilities.
IBM, Amazon, Microsoft, and Google have been the premium provider of cloud services in the market for the longest time and yet disrupting the current dynamic. Further, products like Siri, Cortana, and Alexa have been making people’s lives easier for a while now. However, today’s platforms and models are fragmented and capable of solving only very domain-specific problems; the enterprise applications for AI are completely different. It should be architected in a way that business leaders and data professionals can easily harvest the insights from them collected and stored data.
Some examples of AI services in a hybrid cloud environment would be Amazon’s Deep Scalable Sparse Tensor Network Engine (DSSTNE) and Google’s Tenssor Flow. Both drives customer’s recommendation capabilities, such as suggesting the kind of books one may like to read or movies one may add to their wish list. Likewise, Watson Developer Cloud by IBM enables developers to provide its Watson AI engine as an analytics cloud service. IBM states that “the fusion of AI and cloud computing promises to be both a source of innovation and a means to accelerate change.”
What Hybrid Cloud and AI Together can solve?
Presently, hybrid cloud computing solves the two largest hurdles for AI in the enterprise; abundant, affordable computing, and a channel to leverage large volumes of data. For example, in the transportation industry, companies such as FedEx and UPS always strive to figure out the most cost-effective and efficient way to deliver the scads of packages to delivery centers, and finally to the customers. The vehicles need to keep moving without creating gridlocks; it is only possible if you have real-time traffic information for routes.
AI, along with hybrid cloud, will help transport companies to calculate and navigate the fastest routes to deliver those packages. Additionally, IoT and big data analytics can tell how to fit the maximum number of packages in a delivery van.
Hybrid cloud adoption is an effective strategy, and will always be a good idea to assist IT decision makers around a wide variety of businesses. 2016 was the year of multi-cloud and next two years is going to be about managing them; AI is expected to burgeon even more rapidly into the enterprise. Humans, unequivocally, play a critical role in continuous enhancements for the performance of ‘Thinking Machines.’ Their actions in response with workloads in the best possible place suit business needs and provide peak performance. Given the recent developments, several IT players, including today’s top IT companies, are heavily investing in this space—influencing and inspiring a new wave of cloud computing platforms.
By Leni Kaufman, VP & CIO, Newport News Shipbuilding
By George Evans, CIO, Singing River Health System
By John Kamin, EVP and CIO, Old National Bancorp
By Elliot Garbus, VP-IoT Solutions Group & GM-Automotive...
By Gregory Morrison, SVP & CIO, Cox Enterprises
By Alberto Ruocco, CIO, American Electric Power
By Sam Lamonica, CIO & VP Information Systems, Rosendin...
By Sergey Cherkasov, CIO, PhosAgro
By Pascal Becotte, MD-Global Supply Chain Practice for the...
By Stephen Caulfield, Executive Director, Global Field...
By Shamim Mohammad, SVP & CIO, CarMax
By Ronald Seymore, Managing Director, Enterprise Performance...
By Brad Bodell, SVP and CIO, CNO Financial Group, Inc.
By Jim Whitehurst, CEO, Red Hat
By Clark Golestani, EVP and CIO, Merck
By Scott Craig, Vice President of Product Marketing, Lexmark...
By Dave Kipe, SVP, Global Operations, Scholastic Inc.
By Meerah Rajavel, CIO, Forcepoint
By Amit Bahree, Executive, Global Technology and Innovation,...
By Greg Tacchetti, CIO, State Auto Insurance