August 29, 2023
MongoDB是少數能在三大公有雲平臺上均可提供非關聯資料庫服務的業者，至今已在全球市場累積可觀的客戶數目與成功案例，而且越來越多客戶選擇在 MongoDB Atlas平臺上，部署各種關鍵工作負載，以維持在市場上的競爭力，為用戶提供更好的使用者體驗。
備受全球用戶關注的MongoDB.local ，每年都會在不同國家與城市舉辦，作為初學者與技術人員一個學習與交流的平臺。在臺灣用戶引頸期盼下，MongoDB將在2023年9月7日舉辦MongoDB.local Taipei 2023。活動涵蓋主題演講、技術論壇、MongoDB 產品演示、互動分享等四大主題，内容包含各行業的發展趨勢、客戶案例、MongoDB最新功能等。
趨勢科技將分享運用 MongoDB Change Stream 建立事件驅動架構的歷程，內容包含架構簡介、補償機制設計、使用場景簡介，以及常見的最佳實踐等。
在虛擬交易所市場有亮眼成績的WOO Network，會分享專案團隊在開發中常見的困難點，以及如何運用MongoDB 達成確保專案品質、擴展性、維運和時程等目標。
Noodoe則會分享運用 MongoDB Atlas Search、Graph Lookup、Change Stream 等創造出便利高效的充電服務架構，進而在商業環境上取得競爭優勢的方法。
MongoDB.local Taipei 2023將有來自 MongoDB 的專家、社區技術大咖、各產業精英客戶和合作夥伴，共同學習最新技術和成功案例，探討業務和資料庫科技的未來，是絕對不容錯過的科技年度盛會。
Building AI with MongoDB: From Compliance to Copilots
There has been a lot of recent reporting on the desire to regulate AI. But very little has been made of how AI itself can assist with regulatory compliance. In our latest round-up of qualifiers for the MongoDB AI Innovators Program, we feature a company who are doing just that in one of the world’s most heavily regulated industries. Helping comply with regulations is just one way AI can assist us. We hear a lot about copilots coaching developers to write higher-quality code faster. But this isn’t the only domain where AI-powered copilots can shine. To round out this blog post, we provide two additional examples – a copilot for product managers that helps them define better specifications and a copilot for sales teams to help them better engage customers. We launched the MongoDB AI Innovators Program back in June this year to help companies like these “build the next big thing” in AI. Whether a freshly minted start-up or an established enterprise, you can benefit from the program, so go ahead and sign up. In the meantime, let's explore how innovators are using MongoDB for use cases as diverse as compliance to copilots. AI-powered compliance for real-time healthcare data Inovaare transforms complex compliance processes by designing configurable AI-driven automation solutions. These solutions help healthcare organizations collect real-time data across internal and external departments, creating one compliance management system. Founded 10 years ago and now with 250 employees, Inovaare's comprehensive suite of HIPAA-compliant software solutions enables healthcare organizations across the Americas to efficiently meet their unique business and regulatory requirements. They can sustain audit readiness, reduce non-compliance risks, and lower overall operating costs. Inovaare uses classic and generative AI models to power a range of services. Custom models are built with PyTorch while LLMs are built with transformers from Hugging Face and developed and orchestrated with LangChain . MongoDB Atlas powers the models’ underlying data layer. Models are used for document classification along with information extraction and enrichment. Healthcare professionals can work with this data in multiple ways including semantic search and the company’s Question-Answering chatbot. A standalone vector database was originally used to store and retrieve each document’s vector embeddings as part of in-context model prompting. Now Inovaare has migrated to Atlas Vector Search . This migration helps the company’s developers build faster through tight vector integration with the transactional, analytical, and full-text search data services provided by the MongoDB Atlas platform . Next-generation healthcare compliance platform from Inovaare. The platform provides AI-powered health plan solutions with continuous monitoring, regulatory reporting, and business intelligence. Inovaare also uses AI agents to orchestrate complex workflows across multiple healthcare business processes, with data collected from each process stored in the MongoDB Atlas database. Business users can visualize the latest state of healthcare data with natural language questions translated by LLMs and sent to Atlas Charts for dashboarding. Inovaare selected MongoDB because its flexible document data model enables the company's developers to store and query data of any structure. This coupled with Atlas’ HIPAA compliance, end-to-end data encryption, and the freedom to run on any cloud – supporting almost any application workload – helps the company innovate and release with higher velocity and lower cost than having to stitch together an assortment of disparate databases and search engines. Going forward, Inovaare plans to expand into other regions and compliance use cases. As part of MongoDB’s AI Innovators Program, the company’s engineers get to work with MongoDB specialists at every stage of their journey. The AI copilot for product managers The ultimate goal of any venture is to create and deliver meaningful value while achieving product-market fit. Ventecon 's AI Copilot supports product managers in their mission to craft market-leading products and solutions that contribute to a better future for all. Hundreds of bots currently crawl the Internet, identifying and processing over 1,000,000 pieces of content every day. This content includes details on product offerings, features, user stories, reviews, scenarios, acceptance criteria, and issues through market research data from target industries. Processed data is stored in MongoDB. Here it is used by Ventecon’s proprietary NLP models to assist product managers in generating and refining product specifications directly within an AI-powered virtual space. Patrick Beckedorf, co-founder of Ventecon says “Product data is highly context-specific and so we have to pre-train foundation models with specific product management goals, fine-tune with contextual product data, include context over time, and keep it up to date. In doing so, every product manager gets a digital, highly contextualized expert buddy.” Currently, vector embeddings from the product data stored in MongoDB are indexed and queried in a standalone vector database. As Beckedorf says, the engineering team is now exploring a more integrated approach. “The complexity of keeping vector embeddings synchronized across both source and vector databases, coupled with the overhead of running the vector store ties up engineering resources and may affect indexing and search performance. A solid architecture therefore provides opportunities to process and provide new knowledge very fast, i.e. in Retrieval-Augmented Generation (RAG), while bottlenecks in the architecture may introduce risks, especially at scale. This is why we are evaluating Atlas Vector Search to bring source data and vectors together in a single data layer. We can use Atlas Triggers to call our embedding models as soon as new data is inserted into the MongoDB database. That means we can have those embeddings back in MongoDB and available for querying almost immediately.” For Beckedorf, the collaboration with data pioneers and the co-creation opportunities with MongoDB are the most valuable aspects of the AI Innovators Program. AI sales email coaching: 2x reply rates in half the time Lavender is an AI sales email coach. It assists users in real-time to write better emails faster. Sales teams who use Lavender report they’re able to write emails in less time and receive twice as many replies. The tool uses generative AI to help compose emails. It personalizes introductions for each recipient and scores each email as it is being written to identify anything that hurts the chances of a reply. Response rates are tracked so that teams can monitor progress and continuously improve performance using data-backed insights. OpenAI’s GPT LLMs along with ChatGPT collaboratively generate email copy with the user. The output is then analyzed and scored through a complex set of business logic layers built by Lavender’s data science team, which yield industry-leading, high-quality emails. Together, the custom and generative models help write subject lines, remove jargon and fix grammar, simplify unwieldy sentences, and optimize formatting for mobile devices. They can also retrieve the recipient’s (and their company’s) latest publicly posted information to help personalize and enrich outreach. MongoDB Atlas running on Google Cloud backs the platform. Lavender’s engineers selected MongoDB because of the flexibility of its document data model. They can add fields on-demand without lengthy schema migrations and can store data of any structure. This includes structured data such as user profiles and response tracking metrics through to semi and unstructured email copy and associated ML-generated scores. The team is now exploring Atlas Vector Search to further augment LLM outputs by retrieving similar emails that have performed well. Storing, syncing, and querying vector embeddings right alongside application data will help the company’s engineers build new features faster while reducing technology sprawl. What's next? We have more places left in our AI Innovators Program , but they are filling up fast, so sign up directly on the program’s web page. We are accepting applications from a diverse range of AI use cases. To get a flavor of that diversity, take a look at our blog post announcing the first program qualifiers who are building AI with MongoDB . You’ll see use cases that take AI to the network edge for computer vision and Augmented Reality (AR), risk modeling for public safety, and predictive maintenance paired with Question-Answering systems for maritime operators. Also, check out our MongoDB for Artificial Intelligence resources page for the latest best practices that get you started in turning your idea into AI-driven reality.
Building a Culture of Growth: SVP Simon Eid on MongoDB's Massive Opportunity in APAC
Simon Eid is Senior Vice President Asia-Pacific (APAC) at MongoDB and leads the sales teams across Australia and New Zealand, India, ASEAN, and Japan. Simon's go-to-market organisation in APAC is growing rapidly and has nearly tripled in size in the past three years. They are hiring in all regions . In this article, Simon discusses MongoDB’s opportunity in APAC and how he builds a culture of growth and accountability. Simon Eid, SVP APAC, MongoDB (left) and Anoop Dhankar, RVP ANZ, MongoDB (right) MongoDB's opportunity in Asia-Pacific Out of the top 13 economies by GDP in the world , five of them are located in APAC: China, Japan, Australia, India, and South Korea. And that's to say nothing of the ASEAN countries which alone have more than 650 million inhabitants. Combine this with the worldwide database market, one of the largest markets in the software industry. IDC estimates that it will grow to $137B in 2027, and MongoDB has just reached $1B in ARR. This gives you a sense of the massive market opportunity we have globally. Regardless of industry, product, or service, almost every company is becoming a technology company, which means that every company is becoming a data company. We believe MongoDB is the Developer Data Platform that is best placed to support and accelerate that trend. We’ve already captured thousands of customers around the globe, but it’s important to keep in mind that our world is still in the early stages of shifting to the cloud and changing how applications are built and run. Compared to other software, what's special about the market we play in is that the database is not a “nice-to-have”; it’s mission-critical for organisations. As our world continues to undergo this digital transformation, we have the opportunity to transform how our customers use software and data to innovate, create, and disrupt industries. For example, look at Cathay Pacific , Hong Kong's home airline carrier operating in more than 60 destinations worldwide. The company's digital team turned to MongoDB on their journey to become one of the first airlines to create a truly paperless flight deck. Flight Folder, their application built on MongoDB, consolidates dozens of different information sources into one place. Since the Flight Folder launch, Cathay Pacific has completed more than 340,000 flights with full digital integration in the flight deck. Their innovation is enabled by MongoDB. Building a team across regions and cultures Our team in APAC is unique because of the different markets and cultures within the region. What this means is that we go to market differently in India than we do in Australia, in Singapore than we do in South Korea, and so on. Each market is completely different, but within all of them, there is a huge opportunity. Different from many of our peers, in APAC we've established business leaders who run regionalized teams in India, ASEAN, and ANZ with all functions reporting to them. These teams essentially operate as their own business and implement local best practices into their strategy. But, it doesn’t mean they’re operating in a silo. At the leadership level, there is an immense amount of collaboration and sharing of experiences to identify what’s working and what isn’t within each region. We also have a fantastic global sales organisation that rolls out extensive training and best practices to help enable our local teams to best help our customers and grow the business. Members of our APAC team at a recent offsite in Phuket Culture The most important thing is culture. We have a very high standard around everything we do and how we interact with each other. We don’t entertain politics. You can teach someone new skills and coach them on how to be successful in a new role, but if they’re not aligned with the culture, they will not be a fit. It’s a non-negotiable for me and why the most important aspect of the hiring process is the cultural aspect. If you get the culture right, everything else starts to fall into place. What I hear at MongoDB and from the teams I've built at other companies is that this is the kind of culture they can really thrive and grow. At MongoDB, our culture is defined and shaped by six core values . One of the values that’s most important to my team is “Embrace the Power of Differences”. Within APAC, there are a variety of cultural identities and nuances that can often be difficult to navigate, whether it is cultural values, beliefs, or go-to-market strategy. It’s important that everyone who joins my team is respectful of each other’s regional culture. What we’ve done within the APAC region, and with teams across the globe, is take everyone on a journey to understand and embrace these cultural differences. Our role as leaders is to develop our teams, from the bottom all the way up, which is part of MongoDB’s BDR to CRO career development initiative. We need to develop the next wave of leaders so that they’re prepared to step up when the time comes. For APAC, this means that regardless of where someone is from, each team member has been coached and developed on the cultural nuances so that they can lead people and go to market in each of the different regions. It’s also important that each team member contributes to a culture of psychological safety. Being part of a high-growth tech company requires taking risks and making mistakes. We have a high standard and we hold each other accountable, but it never comes at the cost of creating an environment where people are afraid to fail. When someone faces setbacks, I encourage them to share those experiences so that we can collectively learn. Through mutual support, we foster a stronger team capable of delivering exceptional results. The future of MongoDB in Asia-Pacific For any organisation to be successful, I believe it’s critically important for the entire ecosystem to act as one. As I mentioned earlier, at MongoDB the whole country ecosystem is aligned around one set of goals, so it's not a case of different teams running off in different directions. The teams are willing to lean in and do what's required to help each other build a great business. I can confidently say that in APAC, we are one team. This means sales, marketing, customer success, solutions consulting, and professional services all working together to focus on three things: making customers successful, building technical champions, and driving new workloads. As we continue to grow our team and MongoDB’s footprint in the region, these are the three things that will drive our success. As I mentioned earlier, there's a huge opportunity for MongoDB in APAC. Despite hiring slowing down or stopping completely at many other organisations, we're continuing to invest heavily in the region. To give you a sense of that - we've nearly tripled the size of our APAC go-to-market team in the past three years, and we've got more open roles across the different functions and regions. If you want to be part of this journey, there are three things I want to reiterate: First, we are extremely passionate about our culture, from the field level up to the leadership level. As a team, this is the brand we bring to the market. Second, the opportunity here is massive based on the total addressable market and our current share. And third, we place critical importance on development. By joining this team, I can promise that you’ll be provided with countless opportunities to develop your career and make an impact. I’m confident in my team and the leadership we have in place who are ready to take MongoDB APAC to the next level. Join us !