The cloud technology stands as a game changer in the digital transformation journey of enterprises. Amazon Web Services' (AWS) hybrid cloud platform, fully driven by artificial intelligence and machine learning, comes with a unique set of solutions and services to foster digital transformation for the enterprise.
AWS Cloud Strategy Fosters Digital Transformation
Digital transformation journey isn't complete once you have new technology, as digital transformation is more a strategy than mere technology adoption. Here is why AWS is set to transform enterprises.
Best-In-Class Agile Cloud Strategy
No two organization’s digital transformation journey are the same, same goes for their cloud strategy. Cloud strategy is driven by business vision, goals, and interests. It's important that cloud strategy be aligned and mapped to the business objectives. This is what Amazon Web Services Cloud Adoption Framework (AWS CAF) solutions do. AWS cloud solutions deliver ready-to-use resources that you can purchase as needed.
Business teams spread across demographics make it challenging for team collaboration and IT operations management. Processes should be agile and streamlined with different work streams. The AWS Hybrid cloud framework can trace the problems hindering the service delivery process and fix them. AWS cloud framework streamlines dynamic work streams, cross-functional development teams, operations, and IT infrastructure. This way businesses can scale up agility and efficiency with robust solutions at optimal costs, reducing the investment, installation, and management of hardware resources. This is the reason why AWS has business clients across 190 countries.
Better Identity and Access Management
To ensure secure access to the resources and data on AWS cloud, AWS offers Identity and Access Management (IAM). This allows users to define users, roles, and groups and provide identity and access permissions accordingly to manage data and resources. As an added layer of authentication, Multi-Factor Authentication can be enabled for individual users and can apply to AWS service APIs.
Robust AWS Security
Security is one of the biggest concerns businesses have when migrating to cloud applications. Not only does AWS provide low-cost data centers and robust network architecture, AWS gives the utmost priority to security by offering full stack cloud security solutions to secure data and resources. AWS security solutions enable businesses with the following abilities:
- Predict incidents before the happen.
- Locate Incidents quickly.
- Conduct security scans on regular intervals.
- Inspect and track all cloud deployments.
- Triggers alerts for any modifications of the systems or services.
- Provides proactive support and advocacy through Technical Account Manager.
- Provides real-time guidance and best practices with the help of AWS Trusted Advisor.
- Encrypts all traffic on the AWS global and regional networks between AWS secured facilities.
- Maintains agile GRC (governance, resolutions, and compliance).
Data Management and Intelligence
Enterprises store data in different data silos, because of this, performing data operations like data analytics requires accessing any many different areas which isn’t cost effective or efficient. Defining security and access policies is challenging when data is spread out.
Businesses also run into poor business capabilities due to a lack of tools to validate, classify quality data. Quality data ensures better analytics and business intelligence reports. Especially with the growing adoption of IoT, there is drastic rise in data streams with different data formats. This further increases data management challenges.
Ensuring quality data should be a primary goal. AWS standardizes and ensures data quality data prior to storing data into warehouse with the following process:
- Data sourced from different applications is first analyzed with the data anlytics tool Amazon Athena, to identify defects in the data. Amazon Athena can precisely locate discrepancies or duplicates. This process is known as data profiling.
- The next step is data validation, where data sets are validated in accordance to the business requirements.
- Last, the data is audited and monitored and provides deeper insights for all levels of operations. Businesses can get update on the status of each component in the data integrations operations.
After data quality is ensured, AWS offers a wide varied of tools and solutions integrated with machine learning capabilities to process real-time streaming data (Amazon Kinesis) and derive operational analytics (Amazon Elasticsearch Service). These solutions offer scalability and operational efficiency at a lower cost. To offer visibility into the data and generate intelligence reports, AWS offers the Amazon QuickSight dashboard that data insights with data visualizations which can be accessed through desktop or mobile app.
Tailored Customer Experiences
Personalization is the key factor to drive customer engagement and retention. AWS service Amazon Personalize comes with full AI and ML solutions to help businesses drive customer satisfaction and engagement with better personalization solutions. With customer interests becoming more dynamic, real-time customer satisfaction information in service delivery is a top priority. Amazon Personalize plots user interests and accordingly predicts and personalizes the customer journey. This entire process is automated to deliver real-time analytics and recommendations. This solution brings accurate data and technology to generate improved customer personalization.
Developers can implement Amazon Personalize with just an Amazon Personalize API. Even developers with no deep AI/ML programming skills can develop, train, and install the solution by using AWS Console or AWS SDK. Amazon Personalize takes the input data then analyzes and classifies it to choose the appropriate algorithm for the personalization model.