The successful introduction of AI tools that help companies win competition comes with the challenge of choosing the best AI cloud platform. Avenga will help you decide which AI cloud platform to use for your AI and Gen AI projects. Benefit from a personalized expert recommendation on the cloud that will help you achieve your AI goals faster.
Building your AI capabilities on the right cloud AI platform sets the groundwork for your organization’s AI adoption and further success. Choosing the right cloud platform brings:
Optimizing costs in AI development and deployment is crucial, with a well-chosen cloud platform offering flexible pricing, efficient resources, and workflow optimization tools for effective budget management.
The cloud platform should provide scalable resources capable of handling computationally intensive AI model training and inference, ensuring seamless performance as your AI requirements expand.
Seamless integration with existing IT infrastructure and tools, including data sources, APIs, and development environments, is essential for deploying and operating AI solutions smoothly on a suitable AI cloud platform.
AI often handles sensitive data, necessitating robust and regulatory compliance like GDPR and HIPAA, from the chosen AI cloud services platform to ensure data privacy and legal adherence.
Benefit from Avenga AI Cloud Companion – a proprietary scoring system, which allows users to easily select the best-fitting cloud-based AI stack (including GenAI) for addressing a specific business problem on a specific dataset. Tell us what you need from your AI. Avenga AI Cloud Companion will do the rest.
Let us know what you need your AI to cover for your business.
Our team backed with Avenga AI Cloud Companion compares the cloud platforms available against their tasks delivery aptitude.
You get a detailed report on each cloud’s compatibility with your needs and a platform for customized cloud testing with real AI models.
Ready to supercharge your business with AI or Gen AI? Do it cost-efficiently and do it fast with a personalized plan.
that enhances product and services quality across various sectors. From automated manufacturing inspections and precise healthcare diagnostics to personalized retail customer experiences and boosted cyber and premises security.
that boosts security with real-time threat detection and facial recognition. Gain customer insights through behavior analysis, optimize operations, and ensure product quality with automated inspection and anomaly detection, driving efficiency across industries.
that automates customer service with voice assistants and sentiment analysis, streamlines meetings with accurate speech-to-text conversion, ensures inclusivity with real-time captions and translation, and extracts insights for advanced decision-making.
that streamlines efficient document processing, quick insights extraction, accurate data operations for compliance, faster document retrieval for customer service, and enhanced departmental efficiency with advanced automation.
that enables customer sentiment detection, personalized content curation, and automated risk management. Ensure compliance through automated monitoring and analysis, leveraging insights-driven operational excellence.
Avenga is a global engineer and tech consulting partner. In over two decades in the market, our team has successfully enabled digital transformation endeavors for the likes of IQVIA, Boehringer Ingelheim, GSK, EILEEN FISHER, AIA, and others.
We are a strategic partner with a proven track record and a global presence in Europe, the Americas, and Asia.
* US and Canada, exceptions apply
AI adoption can be easy and fast.
Let us show you how!
Adopting AI cloud platforms allows businesses to access powerful AI tools and resources without the need for extensive infrastructure setup. It facilitates faster deployment of AI solutions, scalability to handle large datasets, and integration with other cloud services for comprehensive business solutions.
The business value behind Avenga AI Cloud Companion boils down to its ability to provide personalized cloud AI adoption strategies, based on a business’s specific AI-usage needs. That is, our solution covers all the technical research hurdles, giving you the optimal cloud platform option for successful AI adoption and its further scaling for your business success.
When selecting the right AI development platform, several critical factors should guide your decision. Firstly, assess the platform's functionality to ensure it aligns with your specific AI tasks, whether it involves natural language processing, computer vision, or reinforcement learning. Secondly, consider scalability to accommodate the increasing complexity and data volume of your AI projects over time. Thirdly, verify integration capabilities to seamlessly connect with your existing systems and data sources, facilitating smooth data flow. Additionally, evaluate the platform's customization options, assessing its flexibility to support custom algorithms, models, and workflows tailored to your unique needs. Lastly, prioritize platforms with strong support services, comprehensive documentation, and an active user community for effective troubleshooting and sharing of best practices. These considerations collectively ensure that the chosen AI development platform meets your business objectives and supports long-term success in AI implementation.
AI cloud platforms offer smaller businesses and startups access to advanced AI capabilities at affordable costs, enabling them to compete with larger enterprises. They provide flexibility, scalability, and tools for innovation without upfront infrastructure investments.
Select the best AI cloud platform based on factors like scalability, integration capabilities with existing systems, security features, pricing models, and support for specific AI technologies your business needs.
AI development platforms stand apart from traditional cloud platforms due to their specialized tools and frameworks tailored for developing, training, and deploying machine learning models and AI applications. These platforms also offer pre-built models and APIs that streamline tasks such as image recognition and language translation, enhancing development efficiency. Emphasizing data science workflows, they support activities like data preprocessing, model evaluation, and experimentation to optimize model performance. Additionally, AI development platforms feature robust capabilities for versioning, monitoring, and managing machine learning models throughout their lifecycle, ensuring scalability and reliability. They foster collaboration among data scientists through collaborative environments for iterative experimentation and model tuning, promoting innovation and knowledge sharing within teams.
