PsiberTech's foundation lies in its commitment to surpassing customer expectations by providing software solutions that prioritize the needs and preferences of users.
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Our service portfolio covers an entire software development life cycle and meets varied business needs.
Read MoreAgentic AI refers to artificial intelligence systems with a high degree of autonomy, proactiveness, and goal-directed behaviour. Unlike traditional AI, which typically follows predefined rules or reacts to inputs, agentic AI is designed to take initiative, make decisions, and act independently to achieve specific objectives. This type of AI is often associated with advanced applications such as autonomous robots, self-driving cars, and intelligent personal assistants.
Autonomy: Agentic AI systems operate without continuous human intervention. They can make decisions and take actions based on their programming and the data they process.
Proactiveness: These systems are not just reactive; they can anticipate needs and take actions to achieve goals without explicit instructions
Goal-Directed Behaviour: Agentic AI is designed to pursue specific objectives. It can plan, strategize, and adapt its actions to achieve these goals.
Learning and Adaptation: Many agentic AI systems incorporate machine learning algorithms that allow them to improve their performance over time-based on experience and new data.
Interaction with Environment: Agentic AI often interacts with its environment, whether physical (e.g., robots) or digital (e.g., software agents), to gather information and execute tasks.
Autonomous Vehicles: Self-driving cars use agentic AI to navigate, avoid obstacles, and make real-time decisions to ensure passenger safety.
Robotics: Autonomous robots in manufacturing, healthcare, and service industries use agentic AI to perform complex tasks such as assembly, surgery, and customer service.
Personal Assistants: Intelligent personal assistants like Siri, Alexa, and Google Assistant use agentic AI to understand user requests, manage schedules, and perform tasks on behalf of the user.
Healthcare: Agentic AI can assist in diagnostics, personalized treatment plans, and even robotic surgeries, improving accuracy and outcomes.
Finance: In the financial sector, agentic AI can manage portfolios, execute trades, and detect fraudulent activities autonomously.
Cloud providers offer highly sophisticated cybersecurity solutions and capabilities that effectively mitigate cyberattacks. By entrusting their data to reputable cloud services, businesses can bolster their security measures and safeguard critical information from potential threats.
In the digital era, businesses rely heavily on data insights derived from data mining, exploration, and prediction. The cloud serves as a natural repository for vast amounts of data, making it a preferred platform for data modernization. By migrating to the cloud, companies can access and leverage this wealth of data to drive informed decision-making and gain a competitive edge.
Cloud migration presents significant cost-saving opportunities for businesses by reducing IT and IT-related expenses. Additionally, adopting cloud services leads to a substantial improvement in IT performance. Cloud offerings encompass a wide range of services and solutions that enable greater operational agility and efficiency, streamlining processes and enhancing overall performance.
Smart Process Orchestration: We integrate AI agents into our low-code workflow automation platform to enable real-time decision-making.
Task Delegation & Optimization: AI autonomously prioritises, assigns, and executes tasks based on business rules.
Intelligent Notifications & Alerts: Proactive AI agents detect bottlenecks and notify users before issues arise
AI Chatbots & Assistants: We develop AI-driven chatbots that understand user intent, provide intelligent responses, and automate repetitive tasks.
Multi-Channel Integration: AI agents can be deployed across WhatsApp, Slack, MS Teams, Web Apps, and Email to enhance collaboration.
Data-Driven Insights: AI models analyze historical data to predict trends and optimize business decisions.
Anomaly Detection & Risk Management: AI agents detect fraud, errors, or inefficiencies before they escalate.
Automated Reporting: AI generates reports, forecasts, and actionable insights with minimal human intervention.
Continuous Learning from User Interactions: AI agents improve over time by analyzing user behaviour and feedback.
Auto-Tuning & Optimization: AI dynamically adjusts workflows and business rules based on performance metrics.
Begin by defining the purpose behind the migration. Evaluate your existing IT infrastructure thoroughly and establish key performance indicators (KPIs) that will guide your cloud migration process.
Assess the applications in your current environment and determine which ones will be migrated initially. Identify which applications can be seamlessly transferred as is and which ones will require modifications or reworking to align with the cloud environment.
Categorize your applications based on their specific characteristics and requirements. Subsequently, implement a chosen migration strategy that best suits your business needs and objectives, ensuring a smooth and efficient transition to the cloud.
Public cloud services offer a convenient and accessible solution for businesses and individuals alike, as they provide cloud resources, such as servers and storage, owned and managed by third-party cloud service providers. These resources are made available over the internet, enabling users to access them remotely and on demand.
In a public cloud environment, the entire hardware, software, and supporting infrastructure are fully owned and maintained by the cloud provider. This allows users to offload the burden of managing the underlying infrastructure, focusing instead on leveraging the cloud services to meet their specific needs.
One of the most attractive aspects of public cloud services is their flexible pricing models. Users have the option to pay-per-use, tailoring their expenses to their actual consumption. Alternatively, some services are even offered for free, making it an enticing choice for users seeking cost-effective solutions.
Popular public cloud platforms like Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure, and Oracle Cloud have garnered a wide user base due to their robust offerings and reliable performance. These platforms continue to revolutionize the way businesses and individuals leverage cloud technology, providing scalable, efficient, and feature-rich solutions to cater to diverse requirements. As the demand for cloud services continues to soar, the public cloud remains an integral and dynamic component of the modern digital landscape.
Private cloud solutions offer an unparalleled level of security and privacy for sensitive data, bolstered by robust firewalls and internal hosting. By leveraging a private cloud, organizations can rest assured that their operational and sensitive information remains shielded from external access by third-party providers.
In this exclusive cloud environment, all cloud resources are owned and utilized solely by a single organization. This aspect makes the private cloud environment particularly appealing to entities like financial institutions and governments, which prioritize maximum customization and control over their infrastructure.
Leading technology providers such as IBM, Oracle, Dell, and Hewlett Packard Enterprise (HPE) are among the prominent players offering popular private cloud solutions. These trusted providers empower businesses and organizations to create tailored, secure, and efficient cloud ecosystems that align seamlessly with their specific needs and compliance requirements.
With private cloud offerings continuing to gain momentum, enterprises can embrace the benefits of cutting-edge cloud technology while upholding the highest standards of data privacy, security, and control. The private cloud's ability to strike a delicate balance between customization and protection makes it an ideal choice for businesses with stringent data management needs.
A hybrid cloud, also known as a cloud hybrid, represents a cutting-edge computing environment that seamlessly integrates the best of both worlds - an on-premises datacenter (referred to as a private cloud) and a public cloud. This dynamic combination enables the sharing of data and applications between these two cloud realms, fostering a harmonious synergy of capabilities.
By harnessing the power of a hybrid cloud, organizations can experience unparalleled flexibility and efficiency. It allows for effortless movement of resources between the private and public clouds, catering to the ever-changing demands of the business landscape. This versatility empowers enterprises to optimize their infrastructure, scale resources as needed, and maximize the utilization of cloud services.
The hybrid cloud's hybrid nature strikes a perfect balance, offering the security, customization, and control of a private cloud, alongside the scalability, cost-effectiveness, and global reach of the public cloud. This makes it an ideal choice for businesses seeking a unified, agile, and adaptable cloud solution to meet their diverse requirements. Embracing the hybrid cloud revolution empowers organizations to stay ahead in the digital age and seize new opportunities for growth and innovation.
The multi-cloud approach represents a sophisticated cloud computing model that leverages the power of multiple clouds in a unified environment. This versatile strategy enables organizations to distribute applications and services across a combination of cloud services, encompassing two or more public clouds, two or more private clouds, or a blend of public, private, and edge clouds.
At its core, the multi-cloud environment is a harmonious mix of diverse cloud services, each catering to specific needs and requirements. Unlike the hybrid cloud, which utilizes a combination of private and public clouds with different deployment models, the multi-cloud approach focuses on integrating multiple cloud services from various providers, such as Microsoft Azure and others, into a cohesive ecosystem.
By adopting a multi-cloud strategy, organizations gain unparalleled flexibility, scalability, and vendor diversification. This diversity in cloud services empowers businesses to optimize their infrastructure, achieve cost-effectiveness, and reduce the risk of vendor lock-in. The ability to cherry-pick the best-of-breed solutions from different cloud providers empowers organizations to tailor their cloud environment to suit their precise needs, ensuring maximum efficiency and performance.
In the rapidly evolving landscape of cloud computing, embracing the multi-cloud model opens the door to endless possibilities, enabling organizations to stay agile, innovative, and well-prepared for future challenges. By capitalizing on the strengths of multiple cloud services within one cohesive ecosystem, businesses can experience the true potential of cloud computing and unlock a world of opportunities for growth and success
The foundation of successful cloud migration lies in aligning your strategy with specific business goals, whether it's cost savings on hosting, enhancing workload capabilities, or ensuring greater application availability. Fortunately, there exists a diverse range of approaches to migrating applications to the cloud, ensuring a tailored strategy for achieving your desired objectives.
Outlined below are the six common application migration strategies:
Also known as the 'lift-and-shift' approach, rehosting involves migrating applications from on-premise servers to the cloud environment with minimal or no alterations. This strategy offers a swift and cost-effective migration, making it ideal for low-impact and straightforward workloads.
In the re-platforming strategy, applications are updated to embrace modern functionalities, such as automation and scaling. Minor adjustments are made to the applications to better align them with the cloud environment and architecture, without completely reimagining their structure.
Referred to as re-architecting, refactoring entails significant changes or rebuilding applications from scratch to make them cloud-native. Though this strategy demands more time and investment in skills development, it offers maximum benefits by capitalizing on cloud-native features and capabilities.
As part of a comprehensive cloud migration strategy, retiring involves identifying and decommissioning applications that are no longer necessary, thereby streamlining your cloud environment and optimizing resource utilization.
In the retaining strategy, certain applications are kept on-premise due to specific requirements, such as regulatory compliance or sensitive data handling. This approach ensures a balance between on-premise and cloud-based solutions.
Repurchasing involves replacing existing applications with commercially available Software as a Service (SaaS) offerings. This strategy can save time and resources while providing access to advanced features and ongoing support from SaaS providers.
Selecting the most appropriate migration strategy depends on the unique objectives and complexities of each application. By choosing the right strategy, businesses can unlock the full potential of cloud migration, optimizing performance, cost-efficiency, and scalability to propel their digital transformation journey.
The global landscape of cloud application migration is poised for remarkable growth, projected to surge from $9.7B in 2019 to an astounding $16.8B by 2024. However, venturing into cloud migration without meticulous planning can prove to be a challenging endeavour, potentially draining valuable time and resources. To ensure a successful migration experience, businesses must prioritize a well-crafted and thoughtful cloud migration strategy.
The strategic importance of a carefully planned cloud migration cannot be overstated. It serves as the backbone of a smooth and seamless migration process, safeguarding against unexpected hurdles and ensuring the realization of desired outcomes. With the right strategy in place, businesses can navigate the complexities of cloud migration, optimizing performance, scalability, and cost-effectiveness.
A well-structured cloud migration strategy involves a comprehensive assessment of existing IT infrastructure, specific migration objectives, and identification of potential risks and opportunities. It outlines a clear roadmap, setting the course for a systematic and efficient migration journey.
By embracing a thoughtfully considered cloud migration strategy, businesses can confidently embark on their migration ventures, capitalizing on the boundless potential of the cloud. As cloud computing continues to revolutionize the way organizations operate, a well-executed migration strategy becomes a crucial pillar in driving digital transformation and staying ahead in the dynamic and competitive global market.
The Asia Sourcing Portal (ASP) is an intranet-based web portal designed to streamline the supplier onboarding procedure and facilitate the direct updating of SKU prices into the organization's legacy backend system through automation.
