Cloud Deployment Capabilities for AI and Big Data

Trends show that the future is shinning on Big Data Hadoop certified engineers.

According to a recent global survey on AI and Big Data technologies, the Cloud Deployment capabilities hold key to AI infrastructure. We are already witnessing major innovations and cloud deployment models taking over the traditional SaaS and public Cloud models. By 2025, the AI market for Cloud frameworks is expected to reach $56 billon, growing at 23% CAGR. This kind of growth depends on how Cloud Deployment service providers and solution vendors adopt the latest Big Data Hadoop platforms to embrace Edge, Quantum Computing and parallel Computing by 2025.

Here is why Big Data Hadoop Certification is a key component in the AI and Machine Learning based Cloud Deployment market.

Enterprise AI Driving Cloud Deployment

There are numerous benefits of leveraging AI-based Big Data Hadoop for Cloud Deployment. One of the benefits is reduced Operational costs.

According to a survey on how IT operations cost impact deployment of Cloud, it was revealed that several companies are going for Containerization and Virtualization. Virtualization of data centers with Cloud infrastructure make it faster and easier for developers to deploy Cloud and Big Data Hadoop capabilities within traditional and new enterprise infrastructure.

Take for example, AI in Amazon Web Services (AWS). Amazon’s AWS is one of the broadest and deepest Cloud-focused Machine Learning tool platform to create intelligent Enterprises of the future.

One of the most cutting-edge applications of Cloud and Big Data Hadoop can be seen in the fastest motor sports in the world, Formula One (F1). AWS is delivering sports analytics and top of the league fan experience powered by high-end Cloud and ML Analytics.

From car’s performance to lap timings to pit stop strategies, AWS Cloud infrastructure often proves to be the different between leaders in the race and the ones who are lagging.

Shelling the Egg: Throwing AI-Powered IT Modernization into Mix of Things

Working with old Cloud models is akin to peeling the scale off boiled hot eggs. They can turn to be really messy, especially if the egg yolk is not hard enough.

Similarly, early adopters of Cloud models find it extremely hard to decommission their old Cloud structures. IT DevOps and IT Engineers with Big Data Hadoop Certification are hired to manage large scale infrastructure Cloud Modernization projects. The role of AI and ML capabilities is undeniably very important when it comes to safely migrate and scale infrastructures, reducing fragmentation and operations costs that follow the modernization processes.

Poor Customer Service Kill off Any Business; Risks Reliability

For top companies, lack of IT management and risk analysis can jeopardize their business forever.

Companies that leverage high-end Data Storage on Cloud often face risky ecosystem.

We can relate to three types of Cloud risks that ensue for enterprises that don’t leverage AI and Big Data Hadoop models.

These are:

• Environmental
• Adversarial
• Accidental and Structural

The top 15 Cloud service providers have a combined market share of 70%; and with smaller players yet to make a mark with advancing with AI ML Big Data Hadoop capabilities, the market share percentage is not likely to change for the next 10 years or so. In such a highly concentrated market for Cloud and related models, it becomes increasingly significant for Big Data Hadoop Certification providers to identify the opportunities in the Cloud industry. Risk management and cyber risk management for Cloud should be priority for all such courses. Any course that outlines the need of cyber risk insurance and customer service management should automatically qualify as leading academic resource for IT engineers, DevOps teams and IT Project Managers.

The Rise of Bots and Robotic Automation: Do you Risk Losing your Talent to Technology

According to all leading research studies, AI and Automation are the top job killers likely to crop up in the new decade 2021 and 2030.

Over a million menial and mid-management level jobs would be lost to bots, virtual assistants and robotic automation. In such a risky job market, you can rely on a simple mantra.

Upgrade your technical skills in IT, Big Data Analytics, AI ML, Deep Learning and Cloud Computing programs. Online certifications in AWS, TensorFlow, Tableau, Big Data Hadoop, Google, Microsoft Azure, IBM, and so on, could reveal numerous opportunities in how all major IT companies and their customers work with data storage, containerization, crypto security, and ML algorithms to match up with customer demands, Cloud deployment’s success benchmarks and AI driven fully-managed self-service capabilities.