StreamText, enterprise caption platform, announced the latest release of Automatic Speech Recognition (ASR) technology powered by artificial intelligence (AI). With the ability to create captions directly from an audio source, StreamText ASR features term glossaries to help finetune captioning AI for specific events and increase overall accuracy. The platform offers direct integrations with meeting software such as Zoom and Adobe Connect. It also supports over 50 source languages, including variants of English, French, and Spanish. While the quality of human captioning is often more accurate than AI counterparts, it may not always apply to all captioning needs. In these cases, StreamText ASR is a solution. ASR is useful in university settings, classrooms, government administration, and broadcast media.
Category: Enterprise software & integration (Page 8 of 31)
Writer, a full-stack generative AI platform for enterprises, announced its Series B funding round of $100 million today. The round is being led by ICONIQ Growth with participation from WndrCo, Balderton Capital and Insight Partners, who led the Series A, and Aspect Ventures, who led the Seed. In addition, this round includes participation from several Writer customers such as Accenture and Vanguard.
The Series B funding will be used to further invest in the company’s own industry-specific large language models (LLMs), and to add agent and multimodal capabilities to its LLMs. Writer is built from the ground-up for the enterprise. It empowers the entire organization including support, operations, product, sales, HR, and marketing.
The platform includes Writer-built LLMs, Knowledge Graph to integrate with business data sources, and an application layer of chat interfaces, prebuilt templates, and composable UI options. Writer models can be self-hosted, which allows customers to get the security benefits of building their own model with the speed to value benefits of an end-to-end solution. Writer takes a full-stack approach that enables diverse use cases across the entire organization, not just solely on foundation models or an out-of-the-box app that only generates content.
Netlify, a platform for modern web development, announced the general availability of the Netlify Software Development Kit (SDK), a suite of tools designed to provide technology partners, web development agencies, and customers with custom integration development capabilities. With Netlify SDK, development teams can custom tailor their web projects, web properties, and web architectures for their business needs. Netlify SDK brings improved productivity, flexibility, and speed-to-market to level-up enterprise development team capabilities.
Netlify SDK includes several new features for Netlify Front-End Cloud, including Build Event Handlers, API Handlers, a new Integration UI, and more, to help organizations to accelerate the migration to and evolution of composable web architectures. Netlify SDK helps enterprise development teams gain:
- Support for any content source – A standardized development process, for users to quickly spin up custom integrations that can sync to data sources.
- Improved developer productivity – Enables teams to take advantage of off-the-shelf integrations.
- Decreased time to delivery – Developers can reduce time required to get started building custom architectures and continue scaling bespoke web experiences.
- An elevated visual editing experience – Integrations with Stackbit leverage a visual editing experience easing cross-department collaboration that allows non-developers to interact with the platform.
Kobai, a codeless knowledge graph platform, announced a new partnership with Databricks so joint customers can leverage the insights of knowledge graphs with the Databricks Lakehouse Platform. Kobai’s Saturn platform is embedded directly in the data layer, allowing organizations to query data without moving it from the lakehouse, with W3C and Lakehouse standards providing interoperability.
Semantic data, which imparts meaning and context to information, plays a pivotal role in optimizing various aspects of the manufacturing process. By integrating semantic data into factory operations, enterprises can enhance their production efficiency, quality control, and predictive maintenance. This technology enables machines, sensors, and devices to communicate in a more intelligent and coherent manner, facilitating real-time monitoring and analysis of production lines. Semantic data aids in the creation of interconnected systems that can adapt and self-optimize.
Kobai’s codeless platform provides a business-first approach and collaborative environment to rapidly share insights across the entire organization, transforming the way enterprises capture and create their business logic with a whiteboard experience. The Saturn knowledge graph works directly with Kobai’s Studio framework and Tower visualization products to infuse data with meaning and context, creating a semantic data fabric that grows over time.
https://www.kobai.io/articles/strategic-partnership-between-databricks-and-kobai
Merkle announced the launch of its new global accelerator for Salesforce Commerce Cloud, which enables brands to achieve a modern composable, API-first architecture faster. Developed to work with Contentful and Magnolia, the accelerator extends Salesforce Commerce Cloud and streamlines integration with other enterprise content management platforms.
By joining forces with Contentful and Magnolia, Merkle enables businesses to implement enterprise-ready headless content management capabilities with Salesforce Commerce Cloud. The new accelerator drives improved time to market, a future-ready technology architecture, and greater innovation in front-end consumer experience. It allows brands to manage front-end site experience and web content through the content management platform, in addition to user experience functionality. This reduces the initial front-end development work for brands to implement a headless architecture.
The accelerator brings together Merkle’s Salesforce Commerce Cloud expertise and modern content management platforms Contentful and Magnolia, and is supported by Merkle’s global design system to expedite design and provide brand experience components. This gives businesses the tools to create and deliver exceptional digital commerce experiences while reducing cost and time to implement composable architectures.
Bloomreach, provider of a Commerce Experience Cloud, announced the support of Open Authorization (OAuth) 2.0 authentication for webhooks, an industry standard protocol for authentication that enables third-party applications to access a user’s data without sharing their credentials. Businesses will now have the ability to integrate Bloomreach Engagement with third-party applications that require OAuth through webhooks, safely connecting real-time data in and out Bloomreach and boosting marketing personalization without the need to switch platforms.
The use of webhooks plays a crucial role in facilitating real-time data synchronization and triggering actions across multiple marketing channels. By leveraging webhooks effectively, marketers can deliver personalized, timely, and consistent experiences across touchpoints, to improve customer engagement and satisfaction. As marketers deliver these enhanced experiences, the OAuth 2.0 authentication method for webhooks maintains the security and integrity of the exchanged data. By enabling controlled access to protected resources, it mitigates the risk of unauthorized access and data breaches.
OAuth 2.0 authentication via webhooks opens the door for brands to frictionlessly integrate Bloomreach Engagement with third-party platforms and applications in their tech stack that require this authentication method. This includes Microsoft Azure, Commercetools, Criteo Marketing, Salesforce Marketing Cloud, Listrak, and Talkdesk, among others.
Databricks introduced Lakehouse Apps, a new way for developers to build native, secure applications for Databricks. Lakehouse Apps will enable Databricks customers to have easy access to a wide range of applications that run entirely inside their Lakehouse instance, using their data, with the full security and governance capabilities of Databricks. Lakehouse Apps will give users safe and easy access to a wide range of new applications and reduce time and effort to adopt, integrate, and manage data and AI applications.
By running directly on a customer’s Databricks instance, these apps can easily and securely integrate with the customer’s data, use and extend Databricks services, and enable users to interact with a single sign-on experience without data ever leaving the customer’s instance. Developers can use any technology and language of their choice to build apps and aren’t limited to a proprietary framework.
The company also introduced new data sharing providers and AI model-sharing capabilities to the Databricks Marketplace, a marketplace for data, AI, and applications.
Databricks Marketplace will be generally available on June 28, 2023. Lakehouse Apps and AI model sharing in Databricks Marketplace are expected in preview in the coming year.
Acquia has enhanced the capabilities of its digital experience platform, Acquia DXP, to create more personalized experiences for customers. The combination of the customer data platform (Acquia CDP) and Acquia Personalization enables customers to create digital experiences based on knowledge gained from a broader array of channels, making the most of their anonymous, known, and understood customer data.
- Personalizing customer journeys of anonymous visitors as they become known and understood. By continuously collecting behavioral data, marketers can assemble it into a single profile view. This improves as additional identifying information becomes available, allowing the visitor to progress from anonymous to known to understood.
- Consolidating all IDs associated with a unique individual, regardless of channel and device. As a customer moves among channels, multiple tracking IDs are generated through interactions with different systems and potentially from multiple client devices.
- Creating responses to customer actions that take into account interactions at every touch point. Use behavioral data from the website to make product recommendations based on past interactions, even before the customer has been identified.
Acquia CDP and Acquia Personalization are available standalone or within Acquia DXP. Both products support composable customer data strategies through integrations with other Acquia and third-party marketing products.
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