Nick Henry, Director General, Public Cloud Managed en Rackspace.
There is no doubt that emerging technologies such as artificial intelligence (AI) and machine learning will make a decisive contribution to future productivity and services in various sectors, from retail to manufacturing to public sector services. More and more companies are looking for ways to implement the latest innovations, generating massive growth in the global business artificial intelligence market, which is expected to reach €9,880.4 million. Here 2023.
To accelerate the value of artificial intelligence and machine learning initiatives, a growing number of organizations are turning to public cloud platforms for support. However, when we look at the public cloud to support the implementation of new technologies, several questions arise. Why is the public cloud better suited for AI and machine learning initiatives than the private cloud? And how can the organization safely migrate operations without causing too much disruption?
Where flexibility meets control
Compared to private and on-premises cloud setups, the public cloud is known for its flexibility. This flexibility comes with an almost unlimited degree of adaptability where platforms can evolve on demand. It is an important feature that supports innovative new technologies like AI, which should evolve at the same pace as businesses.
The public cloud also offers a higher level of security and controlled access. With AI and machine learning systems collecting a monumental amount of data, which can be sensitive, the public cloud provides a level of security more suitable for these initiatives. This is largely because cloud service providers can help manage and secure the 24/7 data sets needed to support artificial intelligence and machine learning technologies. .
To lay the foundation
Google Cloud provides unparalleled support for companies looking to implement AI and machine learning initiatives. It is ahead of the game with its advanced suite of tools dedicated to supporting data analytics, machine learning, and artificial intelligence.
Real-time virtual machine migration is a critical feature for organizations that may have just started to implement AI. Google Cloud has this feature, ensuring internal systems work as data moves from an existing enterprise infrastructure to the cloud. Additionally, when certain public cloud platforms need to be configured prior to the implementation of AI and Machine Learning systems, Google Cloud supports transferring data from a private or on-premises cloud system at any time from the start. implementation schedule.
As developments in artificial intelligence grow at an exponential rate, now is the time for organizations to lay the proper foundation in the form of a public cloud. Properly configured, public clouds like Google Cloud can contribute to a new level of decision-making in the form of business intelligence and advanced data analytics.
For example, it can support large data sets for big data, allowing AI systems to access historical data for comparisons, pattern identification, and decision making. appropriate. This facilitates process efficiency and enables a better and faster customer experience.
But the benefits of the public cloud for organizations don't end there. The cheapest option for businesses seeking support for their AI and machine learning technologies, the public cloud is the most effective option. Many argue that the public cloud model is the main attraction for businesses because its set-up allows organizations to purchase only the amount of cloud storage needed for AI systems.
By freeing up additional costs once they have been invested in physical data centers and traditional infrastructure, companies can refocus their investments on new developments in AI and technology. machine learning More importantly, these cost savings can be immediately passed on to the customer.
Innovation in practice.
Swedish mobile gaming company LeoVegas has recently implemented Google Cloud to support its significant investment in machine learning and artificial intelligence. In a complex and competitive industry, the company's strategy is to harness the popularity of smartphones and deliver a superior customer experience. Against this background, it has implemented a complex system to provide customers with real-time updates, which requires a robust infrastructure that can evolve as it grows.
However, with most of its activities being based in Europe due to licensing restrictions, LeoVegas needed global scalability to ensure that its AI and machine learning investments were also used by clients outside the region. At the time, only a small number of cloud service providers were working in LeoVegas markets, and the company realized it needed a partner that could not only support its global ambition, but also provide the flexible support needed for advancements. and investments in new technologies. technologies at the same rate.
For LeoVegas, the speed at which Google Cloud delivers new features is the level of support required as its investment in AI and AI technologies grows. These new innovations require enormous amounts of resources, especially at a level that would not be sustainable in an on-premises or private cloud environment. Google Cloud's offering has enabled its public cloud technology to track LeoVegas' own innovation.
partnership for success
The sheer scale of designing, planning, and deploying a public cloud that supports AI and machine learning initiatives can be a daunting process that doesn't exist. It is by no means a case of elevation or change. To truly maximize the benefits of public cloud for emerging technology ambitions, it is essential to work with a technology service provider.
A partnership will increase both the value and the range of offerings available to support implementations of new technologies. Creating value is not only crucial for companies, but also for their customers who are always looking for the best experience.
For companies like LeoVegas, emerging technologies like AI and machine learning are leading to more transparent operations, greater efficiency and, ultimately, a better customer experience. The key to realizing the promise of these technologies is leveraging the scalability, security, and agility of the public cloud, along with the expertise of a technology partner.
Nick Henry, Director General, Public Cloud Managed en Rackspace.
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