The mainstays of our Information Technology (IT) pillar are concepts like pervasive cloud computing and Artificial Intelligence(AI).
To us they are not just buzzwords but the concepts are ingrained into our work culture and prodcuts. We ourselves use these concepts to leverage the benefits. We also look at security and governance as key components as thay are very relevant to the long-term digital journey of an enterprise.
84% of global businesses see AI as providing a competitive advantage
41% of consumers believe AI will improve their lives in some way
Statistics show that by 2025, the cloud will store 100 zettabytes of storage, and 85% of all businesses will have migrated to the cloud
According to one study, approximately 93% of businesses are using cloud technologies in order to increase operational efficiency, reduce costs, and improve agility
Benefits of AI and cloud computing
AI and cloud computing form the major foundational pillars.
Cloud computing can help businesses save money by reducing the need for physical hardware and maintenance costs. It also allows businesses to be more flexible and efficient by enabling employees to work remotely and access data from anywhere. Cloud computing can also enhance security by providing automatic backups and updates. Additionally, cloud computing can increase collaboration by allowing employees to work together on projects in real-time.
- Cost savings
- Improved efficiency
- Elastic computing
- Increased collaboration
- Greater scalability
- Environmentally friendly
- Increased employee engagement (via remote working)
Artificial intelligence (AI) can offer a variety of benefits to businesses, including:
- saving time and money by automating and optimizing routine processes and tasks
- increasing productivity and operational efficiencies
- making faster business decisions based on outputs from cognitive technologies
- improving customer service
- reducing overall business costs
- allowing for a more rapid expansion and better consumer insights
- reducing the risk of cybersecurity attacks
- personalized marketing
- operational automation
- inventory management
- real-time analytics
- further development of IoT
- staff training and predictive analytics
Best Practices for AI and Cloud computingHere are some best practices for a successful AI projects:
- Assess Information Technology infrastructure
- Determine the use cases
- Understand your Data
- Train the models
- Measure and record the results
- Collaborate, guide the train the team
- Assess business goals and understand the benefits
- Select the most suitable Cloud computing model
- Establish good governance practices for cloud services
- Continuously optimize Processes
- Ensure Data is actionable
- Take advantage of automation
How you can exploit AI and Cloud computing?
To stay competitive and provide high-quality services to their clients and reduce overall costs, integrating cloud migration
and applying the best practices for cloud computing have almost become necessary.
For efficient integration, Business owners need to plan effective cloud application management, and need to educate themselves on cloud computing best practices to ensure an optimal cloud adoption process.
Before diving into cloud adoption for your business, you must first develop clear goals on what you want to gain for your organization by moving to the cloud. You should also identify and list concrete reasons why moving to the cloud is critical for their business growth
Understanding the benefits of AI is easy. Manual labor and the rising cost of hiring human resources are issues that AI can alleviate. This opens up unexpected opportunities that can increase income. However, it is essential to understand how teams prepare data for testing.
Unfortunately, many organizations make AI adoption difficult with outdated legacy systems and complex technology stacks. If Someone is operating an organization in such an environment, it is essential to think about creating the right foundation and how to make it realistic. These challenges must be addressed within leadership teams and departments before deploying a holistic AI strategy.
How we support you?
The implementation of pervasive cloud services along with AI functionality requires
a number of skill sets and experience in varied areas. It is not very easy for non-IT
team to plan, implement and operate such projects. The skill sets required are also very
different from the normal IT projects.
Organizations that look to envision a technology-centric future and transform their business using IT as a catalyst need to partner with an experienced and skilled service provider like Qamlo.
According to Capterra 2022 survey, 28% of SMBs outsourced their data intelligence services, including AI services.
Gartner predicts that by 2024, over half of all organizations will have leveraged AI service providers for AI implementation, consulting, or managed services.
There are best practices for implementing AI in companies, like Assessing IT infrastructure, determining the use cases, understanding the data, training, and measuring the records.
These services range from AI strategy to AI software design, deployment, and management. We assist with data services such as curation, cleaning, assembling, modeling, audit, and management.
We will provide you with the expertise of qualified professionals who possess the knowledge and experience needed to turn AI techniques into efficient business solutions. We will assist you with end-to-end solutions, from identifying the business challenge to deploying AI software tools. We provide ready-made AI solutions to address business problems. This helps save costs that you would otherwise spend on software research and development of the software.
We offer quick and accurate implementation of your business processes followed by continuous support. This saves you time and reduces the number of errors that would have occurred while trying to build and implement AI tools in-house.