How to Stand Out From the Crowd When Everyone Uses Generative AI

Steve Jurczak
October 5, 2023 | Updated: August 8, 2024

The arrival of Generative AI powered by Large Language Models (LLMs) in 2022 has captivated business leaders and everyday consumers due to its revolutionary potential. As the dawn of another new era in technology begins, the gold rush is on to leverage Generative AI and drive disruption in markets or risk becoming a victim of said disruption.

Now, a vast array of vendors are bringing to market Generative-AI enablers and products. This proliferation of fast-followers leaves executives and software developers feeling overwhelmed. These promising tools must also be able to be modified from just a demo or prototype to full-scale production use.

Check out our AI resource page to learn more about building AI-powered apps with MongoDB.

Success doesn't necessarily equate to differentiation, especially when everyone has access to the same tools. In this environment, the key to market differentiation is layering your own unique proprietary data on top of Generative AI powered by LLMs. Documents, the underlying data model for MongoDB Atlas, allow you to combine your proprietary data with LLM-powered insights in ways that previous tabular data models couldn't, providing the potential for a dynamic, superior level of market differentiation.

The way to do this is by transforming your proprietary data - structured and unstructured - into vector embeddings. They capture the semantic meaning and contextual information of data making them suitable for various tasks like text classification, machine translation, sentiment analysis, and more.

With vector embeddings, you can easily unlock a world of possibilities for your AI models. Vector embeddings provide numerical encodings that capture the structure and patterns of your data. This semantically rich representation makes calculations of relationships and similarities between objects a breeze, allowing you to create powerful applications that weren’t possible before.

MongoDB's ability to ingest and quickly process customer data from various sources allows organizations to build a unified, real-time view of their customers, which is valuable when powering Generative AI solutions like chatbot and question-answer (Q-A) customer service experiences. We recently announced the release of MongoDB Vector Search, a fast and easy way to build semantic search and AI-powered applications by integrating the operational database and vector store in a single, unified, and fully managed platform — along with support integrations into large language models (LLMs).

Rather than create a tangled web of cut-and-paste technologies for your new AI-driven experiences, our developer data platform built on MongoDB Atlas provides the streamlined approach you need to bring those experiences to market quickly and efficiently, reducing operational and security models, data wrangling, integration work, and data duplication, while still keeping costs and risk low.

With MongoDB Atlas at the core of your AI-powered applications, you can benefit from a unified platform that combines the best of operational, analytical, and generative AI data services for building intelligent, reliable systems designed to stay in sync with the latest developments, scale with user demands, and keep data secure and performant.

To find out more about how Atlas Vector Search enables you to create vector embeddings tailored to your needs (using the machine learning model of your choice including OpenAI, Hugging Face, and more) and store them securely in Atlas, download our white paper, Embedding Generative AI and Advanced Search into your Apps with MongoDB.

If you're interested in leveraging generative AI at your organization, reach out to us today and find out how we can help.

Head over to our quick-start guide to get started with Atlas Vector Search today.

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How MongoDB's Executive Support Team Impacts Business Success

Executive Support at MongoDB is crucial to the success of the business. We enable time-sensitive alignment on strategic initiatives, help our leaders avoid burnout, exemplify good work-life balance, and cultivate relationships through organizing team events. We are culture creators, influencers of engagement, and drivers of MongoDB’s values . For the past four years, I have had the privilege of growing my career at MongoDB. Working alongside remarkable leaders, I have been able to continuously develop my skills and expand my responsibilities into a global leadership role for all of Executive Support. In this article, I share three ways that being part of the Executive Support team at MongoDB has impacted my professional journey and can impact yours, too! Career development at MongoDB One of the standout aspects of the Executive Support team at MongoDB is the abundant opportunities for career development. Regardless of one's level of experience, team members have access to coaching, on-demand courses, and guidance from our Learning & Development team. This support enables us to refine our existing skills as Administrative or Executive Assistants, opening doors to more senior positions within the organization. Additionally, for those passionate about mentoring and shaping the future of Executive Support, leadership roles such as Leads and Managers provide avenues for personal and professional growth. Many team members have even acquired new skills from the leaders they have supported, leading to promotions outside of the Executive Support realm. We’ve had a Sales Executive Assistant (EA) who became a Project Manager, a Marketing EA who became a Corporate Communications Manager, a People Team EA who became an Employee Experience Coordinator, and even an InfoSec EA who became a Cybersecurity Specialist and then chose to transfer back to our Executive Support team! These are just a few examples, but they show how MongoDB prioritizes career development. Our managers are trained to support you as you identify your motivators, what skill gaps need support, and how you can expand the scope of your work to achieve your goals. Executive Support team members at a team building event Leveraging our diverse global team Embodying the mindset of "Think Big, Go Far," the Executive Support team at MongoDB leverages the diverse experiences and perspectives of our global team to navigate complex challenges and achieve extraordinary outcomes. By providing invaluable support and enabling our leaders to focus on strategic initiatives, we ensure that they have the space and freedom to reflect, strategize, and drive impactful projects forward. Our dedication to "Making it Matter" is evident as we approach our work with unwavering commitment, understanding that even the smallest tasks play a significant role in the overall success of the business. We know we are key in maintaining momentum towards our company goals. Our team thrives on focused execution while remaining adaptable to changing priorities, ensuring our leaders are well-prepared to tackle new and urgent demands. A transformative experience at MongoDB I joined MongoDB as the Executive Assistant to our CEO, Dev Ittycheria . During my time working with Dev, I saw firsthand the transparent nature of our leadership team. Though they are focused on the market opportunity in front of us and ensuring MongoDB is set up for long-term success, it does not come at the expense of our people. It was a privilege to support the CEO and work closely with his leadership team who lead with our company values and focus on our people in everything they do. I was also provided with the opportunity to participate in an immersive training program that provided me with a comprehensive understanding of MongoDB’s history and products. Throughout the week-long training, I not only bonded with peers from around the world but also had the privilege of learning from seasoned company leaders. This was an invaluable experience for me that enhanced my engagement and proved that regardless of my role, MongoDB wants me to take advantage of every learning opportunity the company has to offer. Ava (far left) at the MongoDB five-year IPO anniversary Conclusion At MongoDB, we place utmost importance on the development and growth of our team members. We firmly believe in the potential and dedication of our people, and our leaders continually strive to support their teams, even in times of change or crisis. By fostering a diverse global team and encouraging creative problem-solving, we consistently drive positive impact throughout our organization. If you are eager to join a team committed to professional growth and making a difference, I encourage you to visit our careers site for current job openings.

October 5, 2023
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Influencing Product Strategy at MongoDB with Garaudy Etienne

Garaudy Etienne joined MongoDB as a Product Manager in October of 2019. Since then, he’s experienced tremendous growth. Successful deliveries of MongoDB 4.4 features and MongoDB 5.0 sharding features helped fuel Garaudy’s career development, as did his work establishing a long-term sharding vision, mentoring others, and successfully managing interns. Now, as a Director of Product, he’s defining the strategic direction across multiple products and helping grow our product management organization and culture. Read on to learn more about Garaudy’s experience at MongoDB and his expanding team. A team with impact My team focuses on distributed systems within MongoDB's core database functions, also known as the database engine. Our team ensures the database is reliable and scalable for our most demanding customers. We ensure the product consistently performs as promised, especially at scale. MongoDB's dependability drives greater usage, which enhances our revenue and brand perception. The problems my team works on are vast and relatively undefined. These include revamping our Go-To-Market strategy for new and existing features, guiding the engineering team on architectural decisions driven by customer demands, identifying target markets, and assisting customers in challenging situations. MongoDB and AI We’re in the early stages of the AI boom. MongoDB’s document model is particularly well-suited for this era, as it excels in handling unstructured data, which makes up the majority of today’s information. As AI increasingly relies on diverse formats like text, images, and videos, our flexible schema enables efficient storage and retrieval of unstructured data, enabling applications to extract valuable insights. Our vector search capability enables fast, complex data matching and retrieval, making it ideal for AI-powered applications. This synergy between MongoDB’s document model plus Vector Search and the needs of AI-driven applications positions us as a powerful foundation for companies looking to enable AI into their workflows. The beauty of working in the core database is that it has to support every workload, including the new and expanding Vector Search applications. This means we need to ensure the database remains robust and scalable as AI demands evolve. Some examples are helping develop a more scalable architecture for Search or a new networking stack for Search. No matter what new capabilities MongoDB decides to deliver or the new markets we enter, everything must pass through the core database. This also allows you to meet lots of people and understand everything the company is doing instead of working in a silo. A rewarding career in product MongoDB is committed to career development, something I’ve experienced first-hand. The company has provided me with development opportunities through product management-specific training with Reforge, conferences, direct engagement with critical customers, and leadership training. As a product manager, I was offered mentorship and coaching with multiple experienced product leaders who provided guidance and support as I worked toward promotions. The company clearly communicates the expectations and requirements for advancement within the product management organization. Reflecting on my journey at MongoDB, I still remember the first two features I PM’d: Hedged Reads and Mirrored Reads. One of my first major highlights was presenting at the MongoDB 5.0 keynote to showcase resharding. Seeing genuine excitement from customers and internal teams about this new feature was incredibly fulfilling and reinforced its value. While the keynote was a public milestone, another personal highlight came when I finally visited one of my engineering teams in Barcelona after nearly two years of remote collaboration. This in-person time was invaluable and helped us bring the groundbreaking sharding changes for MongoDB 6.0 to the finish line. Most recently, defining the key strategic pillars for MongoDB 8.0 and allowing other product managers to take ownership of key initiatives has been more rewarding than I imagined. MongoDB’s engineering team is extremely talented, and collaborating with them always brings me tremendous joy. The most recent highlight of my career has been building a diverse product team and helping other product managers make a larger impact than they previously envisioned. Why MongoDB What keeps me at MongoDB is the opportunity to tackle significant challenges, make autonomous decisions, own multiple products, and take on greater leadership responsibilities. MongoDB also rewards and recognizes product managers who drive meaningful impact across the organization and its products. If these opportunities excite you, you'll thrive as part of MongoDB’s product management team! For my team, I’m committed to providing the right balance of guidance and autonomy. Your decisions will have a lasting impact at the executive and organizational levels, creating continuous opportunities to excel and deliver meaningful results. Plus, I always try to make the job fun. Head to our careers site to apply for a role on Garaudy’s team and join our talent community to stay in the loop on all things #LifeAtMongoDB!

November 25, 2024