Artificial Intelligence for Business Scale

Artificial Intelligence, migration to the cloud, cloud rationalization, and cloud optimization are on the top of minds for IT decision-makers. We asked Robby Gulri, what will be the top solutions IT leaders need to consider for propelling revenue growth and scale in 2024?

AI for Business Scale

In 2024, IT leaders will increasingly integrate artificial intelligence (AI) into their IT strategies. AI will empower IT departments to use data to optimize operations, enhance efficiency, and boost overall performance.

AI will play a critical role in enhancing customer experience. Businesses will be able to leverage chatbots, virtual assistants, and other AI tools to provide personalized and efficient customer support, boosting customer satisfaction, loyalty, and improving brand reputation.

One of the primary advantages of AI in IT transformation is its ability to automate routine tasks. By doing so, IT staff can divert their attention to more strategic activities, such as proactively identifying and resolving potential issues before they escalate into significant problems.

Moreover, AI provides real-time data, analytics, and predictive insights, enabling IT teams to make more informed decisions that can shape future planning and strategies. AI and machine learning (ML) are a good fit when you have significant amounts of data, the patterns are too complex for humans utilizing Excel, and you are seeking to scale.

Here is an actual example demonstrating the phases of an AI/ML engagement, RapidScale’s AI/ML team worked with a transportation company to determine the business goals. Next, they framed the challenge as a machine learning problem and tested the proof of concept to demonstrate feasibility. Then, they built the infrastructure to capture data and the AI models, which resulted in the deep learning algorithm’s ability to predict more accurate ship arrival times saving the company $500K in demurrage fees.

This result was made possible through RapidScale’s specialized engineers and data scientists who manage the AI/ML path from the initial strategy to the optimization phase, but this is one of many examples where our AI/ML team thrives in diverse industries. In finance, we have built models to predict market trends with accuracy, optimize portfolios, and automate fraud detection. In the automotive industry, RapidScale has built models to increase driving experiences and optimize logistics and supply chains. For oil and gas, the team has analyzed seismic data, predicted equipment failures, and optimized production processes. And within the financial services landscape, the team has used their AI expertise to help combat money laundering, personalize customer experiences, and streamline risk management. With each industry, AI solutions become more nuanced, pushing the boundaries of what’s possible and driving data-driven innovation across the board.

Unleashing the Power of the Cloud

Regardless of size, cloud computing has emerged as an indispensable tool for businesses and a vehicle to enable growth. It offers a versatile and scalable data storage, management, application operation, and team collaboration solution. Harnessing the power of cloud computing, IT leaders will be able to drive their organizations towards enhanced efficiency, innovation, and business achievement in 2024.

Cloud solutions remove the demand for in-house IT personnel to oversee and maintain hardware and software, liberating valuable resources for more strategic projects. Transitioning to the cloud enables businesses to bypass the significant initial costs associated with on-site hardware and software. Cloud solutions typically propose pay-as-you-go pricing models, permitting companies to scale as required without accruing unnecessary expenses.

Plus, cloud providers typically employ dedicated security teams and utilize cutting-edge security technologies and protocols to safeguard their clients’ data. Furthermore, cloud solutions offer swift and straightforward data backup options, simplifying recovery from potential data breaches or security incidents.

Overall, the cloud computing model enables businesses to drive growth and reduce risk through infrastructure flexibility, lowering capital investment, simplifying compliance, or delivering reliable disaster recovery. Also, server virtualization sets a foundation for migrating to virtual desktops – yet another time- and money-saving technology that increases productivity across your business.

Public Cloud: Taking Scale to the Next Level

Public cloud fabrics like AWS, Azure, or Google Cloud are also potential growth drivers by offering several benefits that can help businesses scale, increase agility, and become more efficient. These public clouds provide virtually unlimited, on-demand resources. Companies can quickly scale their infrastructure up or down to meet changing demands without upfront investment in hardware or worrying about capacity constraints. This flexibility allows businesses to respond to market needs and quickly handle peak loads. Accelerating time to market on public cloud platforms is a critical advantage, as it allows businesses to quickly deploy their applications, reducing time and effort compared to traditional infrastructure setups.

There is also risk avoidance using highly reliable and resilient infrastructure. Robust data centers with redundant power, networking, storage systems, backup, and disaster recovery mechanisms ensure high availability and minimize the risk of downtime, helping businesses maintain continuity and provide a seamless experience to their users.

By leveraging cloud-native technologies and services, organizations can streamline their processes, automate tasks, and improve efficiency.

A recent example is RapidScale’s strategic partnership with a leading global healthcare software provider. Our public cloud team tackled a critical challenge: transitioning their existing customer application to a SaaS platform. They began with a meticulous assessment of their current cloud footprint, uncovering opportunities for optimization and cost reduction. Leveraging this data, they built a robust, future-proof foundational environment on the public cloud, ensuring scalability and agility for their SaaS offering. RapidScale executed a seamless migration of the customer platform, minimizing downtime and disruption.

Another example was for a global master data management platform, the RapidScale public cloud experts shaved 80% off their customer deployment time and boosted security. They built a streamlined Azure deployment process, slashing onboarding from two weeks to two days, while simultaneously reinforcing their security posture – a win-win for both efficiency and trust.

Read More about the Impacts of AI on CX & EX

Conclusion

Whether you desire to harness the evolving power of artificial intelligence to automate routine tasks, utilize the cloud to avoid high initial costs, or use public clouds to drive scale, Bluewave Technology Group, working together with RapidScale, can help you determine your requirements, build the technology roadmap and manage the execution to enable your 2024 goals.

At Bluewave Technology Group, we help your IT teams deliver successful outcomes for critical initiatives. We have expert teams in network, cloud, CX, and cybersecurity who partner with you to help navigate the constantly evolving technology landscape. Then we help you select the optimal solution to your specific requirements.

RapidScale is one of our key strategic partners, providing an advanced managed cloud platform. This enables customers to unleash innovation through their premier management of mission-critical workloads with seamlessly integrated security, scalability, and efficiency.

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