10,000 SI Certifications and Counting: MongoDB and System Integrator Partners Reach Major Milestone Supporting GenAI Initiatives
Today, tens of thousands of customers trust MongoDB with their businesses’ most critical workloads, while MongoDB’s system integrator (SI) partner technologies and services play a critical role in their ability to innovate. Customers rely on global and regional SIs to help get the most out of MongoDB and quickly build sophisticated applications. In late 2022, as VP of global system integrator and consulting partners at MongoDB, I led the team that launched our System Integrators Certification Program to ensure our partners were equipped to help customers get the most out of MongoDB. The System Integrators Certification Program, designed around two core certifications, gives MongoDB’s SI partners both an introduction to MongoDB and a technical deep-dive that qualifies participants to architect MongoDB for modern, AI-enriched applications. Since its inception, this program has quickly gathered steam, and, today, we are proud to say that we’ve issued over 10,000 certifications to associates and architects across MongoDB’s various system integrator partners. Achieving 10K certifications is a big step, and I am truly thrilled that over 2,500 Capgemini consultants have participated in this program and achieved MongoDB SI certification over the last ten months,” said Eric Reich, global AI and data engineering head at Capgemini. “SI Certifications are helping our consultants keep abreast of the latest architectures on cloud and data modernization. More specifically, these certifications help MongoDB and Capgemini engage in joint engineering collaboration, building accelerators to support our customers in optimizing business outcomes from data- and AI-powered applications leveraging MongoDB. The certification program is an exclusive enablement offering for our SI partners and can be completed on-demand or via instructor-led training. The rapid success and popularity of this certification program reinforces the value of working with MongoDB for our SI partners, the commitment of these partners to truly understand our product, and the desire of joint customers to do more with MongoDB. MongoDB is a key partner for Accenture as its technology enables our clients in their modernization journey. MongoDB's importance to us continues to grow as more organizations are working with Accenture to become more efficient with their data platforms while leveraging their AI investments,” said Ram Ramalingam, senior managing director and global lead of platform engineering and intelligent edge at Accenture. “Skills building and certifications are a significant value to our partnership as this enables my team to provide expertise to our clients for their modernization needs. In the near future, we plan to expand our partner certification offerings, including the addition of a new MongoDB Application Delivery Certification. This certification will include exclusive, partner-only, online learning and hands-on labs that teach application delivery fundamentals and implementation best practices. It will equip our SI partners with the ability to architect MongoDB and deliver at scale. The team and I can’t wait to see what our customers and system integrators build next. To learn more about MongoDB’s partners — who help boost developer productivity with a range of proven technology integrations — visit the MongoDB Partner Ecosystem . Current SI partners can register for the MongoDB Certification Program .
Leveraging MongoDB to Build Cutting-Edge AI Solutions
Generative AI is captivating businesses and experts as the technology landscape rapidly evolves, paving the way for groundbreaking advancements in fields such as natural language processing, and strategic business problem-solving. AI foundation models like GPT-4 are expected to transform work dynamics, potentially impacting 40% of working hours . The extraordinary promise of AI has not gone unnoticed, as investors show significant interest in companies engaging in this cutting-edge technology. By harnessing the capabilities of AI or Generative AI, organizations can speed up ideation, enhance productivity, drive sales, revolutionize design processes, and strengthen fraud detection mechanisms. To navigate an increasingly AI-dependent world, businesses need powerful databases and tools that can enhance their solutions and unlock the full potential of AI. MongoDB, a leading NoSQL modern data platform, unifies operational, analytical, and vector search data services to streamline building generative AI-enriched applications. From prototype to production, ensure your apps are grounded in truth with the most up-to-date operational data while meeting the scale, security, and performance users expect. Check out our AI resource page to learn more about building AI-powered apps with MongoDB. How system integrators can leverage MongoDB for efficient generative AI integration A study by McKinsey found that 90 percent of commercial leaders expect to utilize Generative AI solutions often over the next two years. As organizations seek to harness the power of Generative AI to drive their business forward, system integrators serve as the architects and engineers, constructing the foundation upon which these transformative solutions are built. System integrators ensure that the database models supporting AI applications are efficient and capable of handling the complexities of modern data requirements. MongoDB's flexible NoSQL database empowers system integrators to handle vast and diverse data for AI and Generative AI solutions. Its document-oriented architecture captures complex data structures, and seamlessly integrates with AI technologies, helping organizations overcome data overload and drive innovation. Why is MongoDB best suited to build AI capabilities on? MongoDB empowers AI with comprehensive and real-time data access, analysis, and processing. Its versatile features, including centralized data storage, flexible schema-less format, and support for diverse data types, make it a powerful ally for AI tools, ensuring optimal performance and scalability. Centralized data storage MongoDB serves as a flexible and schema-less data store, accommodating structured, semi-structured, and unstructured data types, such as text, images, videos, and sensor data. Efficient data management MongoDB enables seamless data ingestion and integration from various sources, including streaming platforms, message queues, and data lakes, empowering integrators to collect, integrate, and process data from diverse AI systems, sensors, and applications. Advanced data processing With MongoDB's rich querying capabilities and expressive language, integrators can perform complex preprocessing and transformation tasks, such as filtering, aggregating, joining, and enriching data, preparing it for AI model training or inference. Real-time insights Leveraging MongoDB's real-time data access and aggregation framework, integrators can derive valuable insights, monitor AI system performance, and trigger automated actions based on predefined thresholds. Scalability and performance MongoDB's horizontal scalability, through sharding and replica sets, ensures high availability and performance, enabling integrators to handle increasing data volumes and processing requirements as AI systems expand. Seamless AI integration MongoDB integrates with popular AI frameworks like TensorFlow and PyTorch, facilitating storage and retrieval of model parameters, intermediate results, and metadata for training, evaluation, and deployment. Collaboration and control MongoDB's document-based model enables collaboration and version control of AI artifacts, supporting storage of models, configurations, and experiment results across teams, enhancing reproducibility and workflow sharing. Secure and compliant MongoDB offers robust security features, including authentication, authorization, encryption, and auditing, ensuring confidentiality, integrity, and compliance of AI data, particularly for sensitive or regulated environments helping in the governance of AI-powered apps. In conclusion One cannot underestimate the importance of robust databases in building AI solutions. The power of AI lies in its ability to transform data into actionable insights, and this transformation heavily relies on the strength and capabilities of the underlying database. MongoDB, with its flexibility, scalability, and real-time data access, provides a solid foundation for AI applications to thrive. Moreover, as system integrators embrace these new AI solutions, they will be at the forefront of driving positive impact for their customers, ushering in a new era of innovation, productivity, and transformation.