“In the realm of model development and training, we leverage prominent frameworks like TensorFlow and PyTorch. Our models are trained using contact center data to make them domain-specific and more accurate than generic models out there.”Ĭan you share more on how you train and tune your models? To ensure our language capabilities remain at the forefront, we integrate the latest Large Language Models (LLMs), ensuring that our application benefits from cutting-edge natural language understanding and generation capabilities. 'Additionally, our application extends its reach into speech processing, where we leverage state-of-the-art methods for tasks like automatic speech recognition and sentiment analysis. We embrace supervised, semi-supervised, and self-supervised learning approaches to enhance our models' accuracy and adaptability.' Within natural language processing (NLP), we rely on advanced algorithms and models such as transformers, including the likes of transformer-based in-house LLMs, for text classification, intent and entity recognition tasks, summarization, question-answering, and more. “Our products employ a versatile range of AI and ML techniques, covering various domains. We sat down with Jithendra Vepa, Ph.D, Chief Scientist & India General Manager at Observe.AI to learn more about the AI stack powering the industry-first contact center LLM.Ĭan you start by describing the AI/ML techniques, algorithms, or models you are using? Through these innovations, Observe.AI provides analysis and coaching to maximize the performance of its customers’ front-line support and sales teams.

The company has pioneered a 40 billion-parameter contact center large language model (LLM) and one of the industry’s most accurate Generative AI engines. Leading companies like Accolade, Pearson, Public Storage, and 2U partner with Observe.AI to accelerate outcomes from the frontline to the rest of the business. Its team of 250+ members serves more than 300 organizations across various industries. The company is focused on being the fastest way to boost contact center performance with live conversation intelligence.įounded in 2017 and headquartered in California, Observe.AI has raised over $200m in funding. However, the reality is that most companies have visibility in only 2% of their customer interactions.

You’d also be able to continuously improve customer service by coaching agents when needed. If you could listen in on every one of them, you'd know exactly what was up-and down. What's really happening in your business? The answer to that question lies in the millions of interactions between your customers and your brand. In Compass, exporting data is simple: just select a collection, optionally filter the data with a query and use the export functionality to save it as JSON or CSV.īuilding AI with MongoDB: Conversation Intelligence with Observe.AI Sometimes, however, you may want to export your data (or a subset of it) to use it in other tools. When your data is stored in MongoDB, you can query and aggregate it in many different ways to extract insights, and you can visualize your insights with MongoDB Charts. How can you export data to MongoDB using Compass? Additionally, for each field you can specify a data type when something other than “String” is selected, the values will be converted automatically during the import operation without requiring additional batch operations after the import is completed. You are now able to configure the separator that is used in the CSV file you are trying to import and you can also choose what fields should be imported. When it comes to importing CSV files, we’ve given you more control over what is being imported. When you import JSON files, in addition to JSON lines files with Extended JSON, we now support importing from files containing JSON arrays, which is closer to how developers think, is a standard format for REST API responses, and is consistent with the functionality of mongoimport. With this new release, we’ve made it even easier and more powerful. In Compass, it has always been quite easy to import data – from JSON and CSV files – into a collection. How can you import data to MongoDB using Compass?

Export mongodb database compass