AI Tech, Innovation, Software

SnapLogic Unveils SnapLabs for Exclusive Access to Cutting Edge Integration Solutions

Businesswire | May 18, 2023 | Read time : 05:00 min

SnapLogic Unveils SnapLabs for Exclusive Access

SnapLogic, a leader in intelligent integration and enterprise automation, today announced the launch of SnapLabs, a dedicated environment for the SnapLogic community to experience unreleased products and features. SnapLabs will enable users to gain early access to cutting-edge solutions and influence the company’s roadmap by providing valuable feedback on product offerings before they are publicly released.

SnapLabs will host multiple new product releases and features on an ongoing basis. SnapLabs’ debut product is SnapGPT, the industry’s first Generative AI solution that allows anyone to integrate data and applications in any language. Announced earlier this year, this groundbreaking addition to the SnapLogic platform leverages AI to quickly integrate and automate business processes using natural language prompts, enabling users to streamline data integration, application integration, and API Management. Built on six years of AI and ML research, SnapGPT empowers users to create integration processes more efficiently and effectively than ever before.

"SnapLogic is committed to delivering cutting edge innovation through best-in-class products, services, and technology,” said Jeremiah Stone, Chief Technology Officer, SnapLogic. “From pioneering the industry first generative AI solution to the launch of this new SnapLabs testing environment, we are dedicated to developing solutions that truly meet the needs of our customers and the industry to transform the future of integration.”

Available today, users can access SnapGPT within the SnapLabs environment to build integration pipelines, test pipelines using synthetic data, and create descriptions to speed up development processes. With exclusive access to upcoming product features, users are able to test future product capabilities, view demonstrations, and provide feedback during the SnapLabs Corner monthly webinar series.

“I am impressed with SnapGPT’s ability to translate natural language text to quickly build out accurate, end-to-end pipeline templates, which can even improve on the rapid pace of development that SnapLogic already provides,” said Del Hines, Expert IT Solution Architect at Acxiom. “I believe SnapGPT will be helpful to SnapLogic developers of all skill levels, and especially helpful for those with limited experience in the platform. We are excited about gaining early access to innovative products like SnapGPT on the SnapLabs environment.”

For more information about SnapLabs and the upcoming release of SnapGPT, visit

About SnapLogic

SnapLogic powers the automated enterprise. The company’s self-service, AI-powered integration platform helps organizations connect applications and data sources, automate common workflows and business processes, and deliver exceptional experiences for customers, partners, and employees. Thousands of enterprises around the world rely on the SnapLogic platform to integrate, automate, and transform their business. Learn more at


When the Falcon 10X brakes, it'll be thanks in part to her! An embedded software development engineer at Safran, Agathe is working on implementing software functionalities on the landing gear of Dassault Aviation's brand-new business jet. Development, bench testing, mutual support and training opportunities - find out more about Agathe's day-to-day work in this video!


When the Falcon 10X brakes, it'll be thanks in part to her! An embedded software development engineer at Safran, Agathe is working on implementing software functionalities on the landing gear of Dassault Aviation's brand-new business jet. Development, bench testing, mutual support and training opportunities - find out more about Agathe's day-to-day work in this video!

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General AI, Software, Future Tech

Stack Overflow Announces OverflowAI at WeAreDevelopers

Businesswire | July 28, 2023

Stack Overflow today from the keynote stage of WeAreDevelopers World Congress in Berlin, showcased early previews of six new capabilities and features of its new OverflowAI offerings. Powering solutions from within both the public platform and its market-leading SaaS product, Stack Overflow for Teams, these AI/ML solutions will offer users a series of new capabilities that will ensure they get to solutions faster within their workflow. For several months, Stack Overflow has been outlining its vision for community and AI coming together as the inevitable next phase of growth in GenAI’s trajectory. Today that vision comes closer to reality as the developer community was given previews of how they will directly play a crucial role in how AI accelerates and evolves. There is no shortage of how developers can leverage AI, however, there is one core deterrent in its adoption - trust in the accuracy of AI-generated content. Stack Overflow’s annual Developer Survey of 90,000 coders recently found that 77% of developers are favorable of AI tools, but only 42% trust the accuracy of those tools. Although there are currently more than a dozen new features, functions and capabilities in various stages of development across both Stack Overflow for Teams and the public platform, shared on the keynote stage was what users can request access to today, with limited Alphas beginning in late August 2023. Within Stack Overflow for Teams, the company’s SaaS platform for developers and technologists: OverflowAI Enterprise Knowledge Ingestion: With OverflowAI, Stack Overflow for Teams users will be able to curate and build a knowledge base in minutes by leveraging existing, accurate and trusted content. AI/ML will create the first drafts of a tagging structure and recommend questions and answers, freeing up developers to focus on adding value by curating and refining the content to validate accuracy. OverflowAI Enhanced Search: Stack Overflow for Teams customers will be able to quickly find the most relevant answers and proactive learning paths, leveraging trustworthy sources such as Stack Overflow for Teams, Stack Overflow’s public platform, and other places a customer stores knowledge such as Confluence and GitHub, with more sources to be added over time. OverflowAI Visual Studio Code Extension: Developers spend a majority of their time in an IDE and Stack Overflow is not going to break that workflow. Stack Overflow for Visual Studio Code extension will pull in validated content from both the public platform and a user’s private Stack Overflow for Teams instance to provide developers with a personalized summary of how to solve problems efficiently and effectively. OverflowAI Slack Integration: Stack Overflow’s new StackPlusOne chatbot gathers generated solutions to the most technical challenges instantly - while you are in Slack. This new GenAI integration will provide answers to questions using all Stack Overflow community-validated sources, all while keeping a company’s data private. On Stack Overflow’s public platform: OverflowAI Search: Public platform users will be able to receive instant, trustworthy, and accurate solutions to problems using search and question asking powered by GenAI. Our goal is that responses generated can be attributed and cited, using the highly trusted knowledge from the more than 58 million questions and answers on Stack Overflow, with the ability to query the knowledge base further for more personalized and relevant results and follow up questions. AI Community Discussions: Developers now have new dedicated resources for unbiased, technical resources and responses from experts. A dedicated GenAI Stack Exchange will serve as a place for a community that is centered around knowledge sharing for writing prompts for GenAI tools and AI/ML more broadly. Additionally, Stack Overflow’s Natural Language Processing (NLP) Collective will include a new feature called Discussions that will provide a focused space to debate technical approaches, explore implementation strategies and share different perspectives, so that users can make more informed technical decisions. “For the last fifteen years, developers have come to Stack Overflow to get a solution to a specific problem. With the rise of Generative AI, Stack Overflow’s foundation of trusted and accurate data will be central to how technology solutions are built,” said Prashanth Chandrasekar, Chief Executive Officer at Stack Overflow. “There is no doubt that with widespread access to GenAI tools that code will be created more quickly, and the volume is likely to explode with code completion tools and the need for trust in their output will only increase for developers. Our goal with OverflowAI is to ensure developers are not only contributing to the foundation of what GenAI is today, they are also an integral part of building its future. Developers and technologists should take pride and ownership in knowing that community is the future of AI.” About Stack Overflow Across both its public and private platforms, Stack Overflow is empowering developer communities to discover the information, answers, and learning opportunities they need – when they need them. Millions of the world's developers and technologists visit Stack Overflow to ask questions, learn, and share technical knowledge, making it one of the most popular websites in the world. Stack Overflow’s market-leading knowledge sharing and collaboration platform, Stack Overflow for Teams, helps more than 15,000 organizations distribute knowledge, increase efficiency, and innovate faster. Founded in 2008, Stack Exchange, Inc., the owner of Stack Overflow, is headquartered in New York, NY. Stack Overflow is a registered trademark of Stack Exchange, Inc.

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AI Applications

MongoDB Launches AI Initiative with Google Cloud to Help Developers Build AI Powered Applications

PRNewswire | July 14, 2023

MongoDB, Inc. at its developer conference MongoDB.local NYC announced a new initiative in partnership with Google Cloud to help developers accelerate the use of generative AI and build new classes of applications. MongoDB Atlas is the multi-cloud developer data platform used by tens of thousands of customers and millions of developers globally to quickly build and scale applications using a single platform. With an integrated operational data store at its core, MongoDB Atlas is uniquely positioned to help organizations of all shapes and sizes build applications powered by generative AI faster and with less complexity. Developers can now take advantage of MongoDB Atlas and industry-leading partner integrations with Google Cloud's Vertex AI large language models (LLMs) and new quick-start architecture reviews with MongoDB and Google Cloud professional services to accelerate software development. Recent advancements in generative AI technology like LLMs present opportunities to reimagine how end users interact with applications. Developers want to take advantage of generative AI to unlock their creativity and build new classes of applications, but many current solutions require piecing together several different technologies and components or bolting on solutions to existing technology stacks, making software development cumbersome, complex, and expensive. MongoDB and Google Cloud are helping address these challenges by providing a growing set of solutions and integrations to meet developers where they are and enable them to quickly get started building applications that take advantage of new AI technologies Seamlessly use Google Cloud's Vertex AI foundation models with MongoDB Atlas Vector Search: MongoDB and Google Cloud have partnered since 2018 and have helped thousands of joint customers—including Keller Williams, Rent the Runway, and Ulta—adopt cloud-native data strategies. Earlier this year, that partnership was expanded to include deeper product integrations. Now, developers can use MongoDB Atlas Vector Search with Vertex AI to seamlessly build applications with AI-powered capabilities for highly personalized and engaging end-user experiences. Vertex AI provides the text embedding API to generate embeddings from customer data stored in MongoDB Atlas, combined with the PaLM text models to create advanced functionality like semantic search, classification, outlier detection, AI-powered chatbots, and text summarization. Build AI applications faster with hands-on assistance from experts: From ideation to execution, the MongoDB and Google Cloud professional services teams can help rapidly prototype applications by providing expertise on data schema and indexing design, query structuring, and fine-tuning AI models to build a strong foundation for applications. The Vertex AI platform caters to the full range of AI use cases from advanced AI and data science practitioners with end-to-end AI/ML pipelines to business users who can create out-of-the-box experiences leveraging the foundational models to generate content for language, image, speech, and code. Developers can also tune models to further improve the performance of the model for specific tasks. Google Cloud and MongoDB are working closely together under the Built with Google Cloud AI program to make these experiences even more seamless with Google's Generative AI capabilities built right into MongoDB Atlas. When applications are ready for production, the MongoDB and Google Cloud professional services teams can optimize applications for performance and help solve future problems through quick iteration to get new features into production more quickly. "With the shift in technology powered by generative AI taking place today, the future of software and data is now, and we're making it more evenly distributed for developers with MongoDB Atlas," said Alan Chhabra, Executive Vice President of Worldwide Partnerships at MongoDB. "This shift begins with developers, and we want to democratize access to game-changing technology so all developers can build the next big thing. With MongoDB Atlas and our strategic partnership with Google Cloud, it's now easier for organizations of all shapes and sizes to incorporate AI into their applications and embrace the future." "Generative AI represents a significant opportunity for developers to create new applications and experiences and to add real business value for customers," said Kevin Ichhpurani, Corporate Vice President, Global Ecosystem and Channels at Google Cloud. "This new initiative from Google Cloud and MongoDB will bring more capabilities, support, and resources to developers building the next generation of generative AI applications." One AI enables businesses to deploy the world's best language AI capabilities, tuned to their unique needs, in days. "We needed a platform that allowed us to build agile, data-driven, and scalable software, and MongoDB Atlas on Google Cloud was the obvious choice," said Amit Ben, Founder & CEO at One AI. "The flexibility and scalable document data model MongoDB Atlas provides enabled us to do hundreds of small incremental changes and additions to our platform in the last year alone, allowing rapid development and quick adaptation to shifting and growing needs with zero effort and no need for any migration or compatibility issues. We are looking forward to the additional support MongoDB and Google Cloud will provide as we grow and scale our company." MongoDB Developer Data Platform MongoDB Atlas is the leading multi-cloud developer data platform that accelerates and simplifies building with data. MongoDB Atlas provides an integrated set of data and application services in a unified environment to enable developer teams to quickly build with the capabilities, performance, and scale modern applications require. About MongoDB Headquartered in New York, MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. Built by developers, for developers, our developer data platform is a database with an integrated set of related services that allow development teams to address the growing requirements for today's wide variety of modern applications, all in a unified and consistent user experience. MongoDB has tens of thousands of customers in over 100 countries. The MongoDB database platform has been downloaded hundreds of millions of times since 2007, and there have been millions of builders trained through MongoDB University courses.

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AI Tech, General AI, Software

Inbenta Expands its Customer Experience Platform, Allowing Companies to Integrate the Generative AI Solution of Their Choice

Prnewswire | August 09, 2023

Inbenta, an AI platform purpose-built to optimize customer experience, today announced the launch of an extensive Generative AI integration that will allow companies to develop and organize their content instantaneously, with minimal effort, and in a manner that supports the opportunity for oversight and increased compliance. As a part of the integration, companies will be able to seamlessly add Open AI, Google, or other leading Generative AI platforms into their customer experience workflows and control how, where, and when these platforms are used. By adding Generative AI, Inbenta aims to cut a company's content development timeline by well over half, supercharging their ability to quickly develop customer service responses, chatbot scripts, helpful content pieces and more. Leveraging Inbenta's customer experience platform, companies will also be able to more easily deploy and track AI generated content and responses across chatbot, search, messenger, knowledge management and other customer experience tools. Importantly, by providing choice and the ability to control the review and delivery of AI generated content, Inbenta is helping companies deploy Generative AI in a safer and more responsible manner, allowing companies to add layers of human oversight and review of AI generated content. "Inbenta's integration gives companies the option to harness the power of Generative AI in a scalable and responsible way, providing the control, infrastructure and oversight needed in an enterprise setting," said Melissa Solis, CEO at Inbenta. "Today's news represents a massive leap forward for Inbenta's AI platform approach. By adding Generative AI, Inbenta is helping companies deploy content faster to improve customer experience, resolve customer service issues, providing a novel way to boost sales and increase revenue. Most competitors in the industry can't bring the force of value or choice that Inbenta now offers." "Every company has different policies and comfort levels with the use of Generative AI, which is why Inbenta took a thoughtful, compliance-focused approach and applied flexibility and control to the integration," said Adam Rivera, Chief Legal Officer at Inbenta. "There's genuine concern in the market targeted at Generative AI on the topics of privacy, security, intellectual property and accuracy. The integration of Generative AI into Inbenta's platform was thoughtfully done to help customers mitigate those risks, and address the market's concerns, by offering a layered approach that includes customer oversight." Inbenta's integration also gives companies the option to couple the power of Generative AI's Large Language Models (LLMs) with Inbenta's industry-leading Conversational AI technology, supported by Natural Language Processing (NLP), Neuro-Symbolic AI, and a cross-industry, 35 language Lexicon. About Inbenta Founded in 2005, Inbenta ( is a global AI platform purpose-built to optimize customer experience. The company's powerful platform combines the use of Natural Language Processing, Neuro-Symbolic AI and Generative AI across four digital support communication modules – Chatbot, Knowledge, Search, and Messenger – delivering a complete and configurable solution for any enterprise. With its headquarters in Dallas, TX, and with regional offices in the U.S., Europe, Brazil and Japan, Inbenta has over 1,000 global brands using its solution across a range of industries, including: financial services, travel, ecommerce, telecom, and utilities.

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