Digital.ai
by Digital.ai Software
by Digital.ai Software
Profile Information Last updated on: 29 July 2024
Profile Information Last updated on: 29 July 2024
We help make selecting a software for your business effortless, economical and efficient.
by Digital.ai Software
by Digital.ai Software
Profile Information Last updated on: 29 July 2024
Profile Information Last updated on: 29 July 2024
Digital.ai's software implementation process involves several steps to ensure seamless integration into an organization's existing systems. The initial consultation and assessment consists of understanding the organization's specific needs and requirements, followed by a detailed implementation plan that includes timelines, resource allocation, and customization requirements. The software is then deployed, integrated with existing systems, and configured to meet specific requirements. After deployment, the software undergoes rigorous testing, including performance, security, and user acceptance testing. Digital.ai provides training and support for staff to use the new software, and ongoing support effectively is available to address any issues post-implementation. After the software is live, Digital.ai continues to monitor its performance and make necessary adjustments to optimize its operation. The process is designed to be flexible and tailored to meet the unique needs of different businesses.
Digital.ai's software is highly customizable to meet specific business needs, helping the world's largest organizations automate software releases, improve mobile application testing and security, and provide insights across the software lifecycle. The platform can be tailored to automate software release processes, enhance mobile application testing and security, and provide customized insights based on an organization's security policies and testing protocols. Digital.ai also offers customized insights to focus on the most important metrics and KPIs. The implementation timeframe for Digital.ai's solutions varies based on the organization's size, project scope, and customization level. Large enterprises may take several months, while smaller projects may be completed in a shorter timeframe.
Digital.ai software setup fees include costs for initial deployment, configuration, and integration into an organization's existing systems. These fees can vary based on the complexity and scope of the implementation. Maintenance charges are part of ongoing costs to ensure the software remains functional and up to date. Digital.ai offers different tiers of support, including Essentials, Pro, and Premium. Essentials include basic support with 9-5 regional coverage, Pro offers enhanced support with 24/5 coverage for high to low priority issues, and Premium provides comprehensive support with 24/7 coverage for all priority levels. Support charges are tied based on the level of service required, with Essentials including support portal access, Pro adding 24/5 support for high priority issues, and Premium providing 24/7 support with additional features like a Technical Account Manager.
Digital.ai offers various training options, including an Agile Training Subscription, which provides unlimited access to the company's extensive eLearning library for 12 months. This subscription offers cost-effective pricing, flexibility, and updated content. The company also offers Release and Deploy Training, which includes Beginner Classes, Intermediate Classes, and Advanced Classes. The Custom Services Package includes services such as architecture review, installation, app configuration, integrations, process architecture, custom plugin or UI extension development, and product administration. Digital.ai offers three support tiers: Essentials, Pro, and Premium, with each offering different levels of support. The company also provides extensive customer resources, including documentation for technical questions and product usage, training from industry experts, and a support portal for submitting requests and tracking ticket activity. The Professional Services team provides consulting and best practices for continuous delivery and DevOps, helping unify people, processes, and tools, and managing software delivery pipelines.
Digital.ai is a leading provider of security solutions for its various platforms and applications. It employs a range of measures to protect data, including code obfuscation to prevent reverse engineering, real-time threat detection and response, white-box cryptography to protect static and dynamic keys, and Runtime Application Self-Protection (RASP) to monitor and respond to threats in real-time. The platform also uses advanced encryption techniques to protect data both in transit and at rest, including encrypting sensitive data within applications to prevent unauthorized access and breaches.
Digital.ai also implements access control and authentication systems, ensuring only authorized personnel can access sensitive data. Regular security audits and risk assessments are conducted to identify and mitigate potential vulnerabilities. Data anonymization and masking techniques are used to protect sensitive data while allowing it to be used in AI models and other applications, preserving data privacy and reducing the risk of data breaches. Overall, Digital.ai's comprehensive security measures help maintain a robust security posture and protect data across its platforms and applications.
Digital.ai is a software company that regularly releases updates to maintain its software's security, functionality, and compatibility. The company uses a continuous delivery pipeline to automate the process, reducing the risk of release failures. The platform supports automated deployment across various environments, including on-premises, cloud, and hybrid setups, ensuring consistent and efficient application. Digital.ai provides pre-defined release templates and orchestration tools to standardize and automate the release process. The company also assesses the risk of failure and alerts stakeholders to potential issues before deploying updates. The platform provides comprehensive visibility into the release process through dashboards and analytics, enabling data-driven decisions to improve the process. In case of issues, Digital.ai offers automated rollback capabilities, reducing downtime and ensuring application reliability. These practices help Digital.ai maintain its position as a leading software provider.
Digital.ai is a data processor that processes customer data to support its products and services, as agreed upon in the contractual agreement. The data is retained for the duration of the agreement, except where required by law. Digital.ai adheres to data portability principles, allowing users to transfer their data between services, in line with regulatory frameworks like GDPR and DMA. This right allows users to move their data in a structured, commonly used, and machine-readable format, promoting competition and easier switching between services.
The text discusses the process of scaling up and scaling down AI applications within an organization. Horizontal scaling involves expanding AI applications across various business units, promoting a unified AI-driven strategy. Vertical scaling focuses on deepening AI's impact within specific areas, such as finance or e-commerce. Effective scaling requires a robust and adaptable infrastructure, including cloud solutions, improved data management practices, and upgraded computational resources.
Scaling down involves reallocating resources from less critical AI projects to more essential ones, adjusting infrastructure, and prioritizing projects based on impact and feasibility. Digital.ai's solutions are designed to be modular and flexible, allowing organizations to scale their AI capabilities up or down as needed. This flexibility is crucial for adapting to changing business environments and aligning AI initiatives with current organizational goals and resources. Overall, the text emphasizes the importance of a robust and adaptable infrastructure for successful AI scaling.
Digital.ai contracts are typically set to renew automatically unless explicitly canceled by the customer, ensuring continuity of service without interruption. Customers are required to provide notice of cancellation at least 30 days before the next charge date to avoid automatic renewal. The renewal terms can vary based on the specific agreement, with some contracts having the same duration as the original term and others having different periods.
Both Digital.ai and the customer have the right to terminate the agreement, with the customer having a minimum notice period of 30 days before the next billing cycle. Either party may terminate the agreement immediately for any reason upon notice, providing flexibility in case of unforeseen circumstances or dissatisfaction with the service.
Post-termination obligations include returning or destroying all copies of software and documentation, and refunding prepaid fees for services not yet rendered. Certain provisions of the agreement, such as confidentiality obligations, warranty disclaimers, and limitations of liability, will survive the termination of the contract, ensuring that both parties continue to honor critical aspects of the agreement even after it ends.
Digital.ai software meets several internationally recognized compliance standards, ensuring robust security, data protection, and quality management. These standards are crucial for organizations that need to adhere to stringent regulatory requirements across various industries.
Digital.ai is certified under ISO 27001:2019, an international standard for information security management systems (ISMS). This certification specifies requirements for establishing, implementing, maintaining, and continually improving an ISMS. It ensures that Digital.ai has a systematic and risk-based approach to managing sensitive company and customer information, thereby safeguarding data integrity, confidentiality, and availability.
Digital.ai also holds SOC 2 Type II certification, which evaluates how a cloud-based service provider manages sensitive information. This certification is based on the Trust Services Criteria of security, availability, processing integrity, confidentiality, and privacy. SOC 2 Type II reports assess the effectiveness of a company's controls over a specified period, typically a minimum of six months, ensuring ongoing compliance and operational excellence.
For organizations involved in the medical device industry, Digital.ai meets the ISO 13485 standard. This quality management system standard is designed for organizations that design, produce, install, and service medical devices. It ensures that these devices meet regulatory compliance laws and customer needs, focusing on safety and customer satisfaction through a rigorous quality management process.
Digital.ai is also FedRAMP authorized, which is essential for providing cloud services to U.S. federal agencies. The Federal Risk and Authorization Management Program (FedRAMP) establishes a standardized approach to security assessment, authorization, and continuous monitoring for cloud products and services. This authorization ensures that Digital.ai's cloud services meet stringent federal security requirements, enabling federal agencies to adopt modern cloud technologies securely.
Digital.ai's DevSecOps platform helps financial institutions comply with the European Union's Digital Operational Resilience Act (DORA). This regulation enhances ICT risk management and operational resilience, ensuring that financial entities can withstand, respond to, and recover from all types of ICT-related disruptions and threats.
By Digital.ai Software