Driving the culture of AI forward with MongoDB
How MongoDB and “partner of the year” IBM collaborate to drive your AI practice
“In 2021, AI augmentation will generate $2.9 trillion in business value and recover 6.2 billion hours of worker productivity,” according to Gartner. It will do so largely by learning how to make better predictions over time and supplementing people’s ability to complete tasks in more natural ways.
For example, radiologists will rely on the inferences AI draws through deep learning to make more accurate diagnoses from medical imaging. Customers will enjoy better product recommendations based on a continually learning AI model rather than static assumptions. And elevator technicians will use AI to help direct them to maintenance issues before a breakdown occurs based on analysis of unstructured data.
However, success with AI is dependent on achieving success first with how data is collected and managed. Businesses must establish a strong foundation that makes data simple to use and accessible, regardless of where it resides, with the help of technologies like data virtualization.
AI and the evolution of business
For these reasons, AI and its relationship with data were a hot topic at the recent MongoDB World conference. In his keynote, Adam Storm, IBM distinguished engineer, talked about the motivators for the AI revolution, how organizations can take part in it, and put their data to work. He also talked about how technology fundamentals are evolving in dramatic new ways—and so are the business models.
One of those motivators Adam mentioned is how pervasive AI is in our lives, whether it’s phones that can visualise our face, thermostats that can adjust the temperature based on the weather or self-driving cars. One organization putting AI to good use is Hydro One.
Hydro One, an electricity company in Ontario that built a predictive model based on weather data and past outages from similar storms provides a good example. Instead of waiting for the path of the storm to become clear, Hydro One mobilized teams to areas predicted to have the greatest chance of being impacted by the storm. As a result, power was restored to more than 500 thousand people 33 percent faster than usual.
Adam also reaffirmed that data is at the heart of any AI, and creating sustainable, enterprise-level AI requires enterprises to collect, organise and analyze their data. Collecting data must be simple, regardless of type or where it lives. Data must be organized with processes that ensure data quality and security across the enterprise.
Only after these two things occur is data ready to be consumed, explored, analyzed, and modelled to help make better business decisions. AI takes this analysis a step further to recommend next steps, improve outcomes, and orchestrate tasks for the remediation of issues around performance, accuracy and fairness. Infusing AI with technology like IBM Watson OpenScale provides the final piece of the puzzle: helping organizations get AI projects out of development and into production.
MongoDB can deliver more with partners like IBM
The potential for these AI advancements as well as the need for robust data management encouraged IBM and MongoDB to become partners. Together, IBM and MongoDB draw from unique strengths to help organizations improve customer experience, accelerate time to market, reduce the cost of building new applications and deliver AI transformation. Combining the ability to quickly deploy MongoDB for scalability and flexibility while offering a more robust, security-rich suite of database deployment management tools within the IBM ecosystem helps deliver these improvements better than either company could do separately.
However, the most important benefit of using MongoDB as part of the IBM ecosystem is the additional support and robust integration with your other data management solutions. IBM’s data federation capabilities, including the common SQL engine that underpins all Db2 family offerings, provides a flexible and seamless portal for accessing your data wherever it’s stored. Whether you want to run MongoDB on Power hardware, IBM Z, or IBM Cloud Pak for Data, the vision of a hybrid enterprise can be easy to achieve with these capabilities.
Putting an integrated MongoDB, IBM solution into practice
The combination of MongoDB and IBM goes beyond technical capabilities to real-world benefits. Marriott, one of the leading hospitality providers in the world with more than 7,000 properties across 131 countries, provides another example. They deployed MongoDB on the IBM Linux on Z to address the increasing demands on their reservation shopping platform. Using both offerings in conjunction, Marriott architected a solution that could scale up as demand increased and help them to go to market with newer capabilities more quickly.
Mobile devices are another area where a combined MongoDB and IBM solution is beneficial. They are often necessary for sound customer engagement. Modern apps must offer better personalization like tailored communications based on interests and preferences, incorporating data from the multiple sensors available on mobile devices.
With that imperative comes additional challenges for developers. They must seek solutions that are resilient, secure and that help them rapidly build and evolve new features and functionalities that are more immersive and experiential. As a result, they need databases that can leverage the increasing amount of polymorphic data to better segment and target customers without delays. In these scenarios, it makes perfect sense for customers to use MongoDB as the application’s operational datastore for its rapid deployment and flexibility while running all their analytics on a relational datastore from the IBM ecosystem of data management products on hardware optimized for compute-intensive workloads.
Collectively, the AI capabilities infused within IBM products, the ability to integrate with and complement MongoDB, and collaborating with MongoDB on solutions to help customers with specific use cases in their data environment earned IBM the MongoDB Innovation Award and title “partner of the year.”
IBM also offers MongoDB as a single vendor on-premises and in private and public cloud environments. Learn more about integrating MongoDB into your existing environment with IBM today or watch a bonus presentation from MongoDB World delivered by Daniel Hernandez, IBM vice president of data and AI.