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Category: Enterprise software & integration (Page 6 of 29)

Kobai announces partnership with Databricks 

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 launches global composable commerce accelerator for Salesforce Commerce Cloud with Contentful and Magnolia 

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.

https://www.merkle.com/en/merkle-now/press-releases/2023/merkle-launches-global-composable-commerce-accelerator-for-sales.html

Bloomreach supports OAuth 2.0 authentication

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.

https://www.bloomreach.com/en/news/2023/bloomreach-now-supports-frictionless-integrations-with-third-party-applications-requiring-oauth-2.0-authentication-method

Databricks announces Lakehouse Apps

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.

https://www.databricks.com

Acquia enhances digital experience platform for personalization

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.

https://www.acquia.com/newsroom/press-releases/acquia-enhances-digital-experience-platform-power-omnichannel-customer

Bloomreach enhances customer experience with Gorgias integration

Bloomreach announced businesses using Bloomreach Engagement can now integrate their services with Gorgias , a helpdesk platform designed to streamline customer support operations. As an integral part of the Shopify ecosystem, Gorgias provides essential data about the customer experience and gives Engagement users a more in-depth understanding of the customer journey. Gorgias can help to improve conversion rates and customer satisfaction, ensuring a positive journey from beginning to end. Its integration with Bloomreach Engagement will offer businesses a more in-depth understanding of the customer, ensuring every communication a customer receives is based on a complete understanding of their journey.

It’s essential to have helpdesk data readily available within a marketing platform to consistently offer relevant information and context. By integrating Bloomreach Engagement with Gorgias, marketers using Engagement gain comprehensive insights into all aspects of a purchase. Gorgias assists in refining a marketing team’s personalization efforts and enables the creation of more tailored campaigns.

Gorgias fits into any personalization-driven marketing strategy or campaign. Through this integration, marketers can identify dissatisfied customers, adjust their communications accordingly, enhance personalized experiences for loyal customers, or win back those with bad experiences in the past. Gorgias provides an additional level of insight for Engagement users.

https://www.bloomreach.com/

Neo4j announces new integrations with generative AI features in Vertex AI

Neo4j, a graph database and analytics company, announced an integration with Google Cloud’s generative AI features in Vertex AI, Google’s large language model (LLM) platform. The result helps enterprise customers harness knowledge graphs built on Neo4j’s cloud offerings in Google Cloud Platform for generative AI insights and recommendations that are more accurate, transparent, and explainable. Specifically:

  1. Leverage natural language to interact with knowledge graphs: Vertex AI’s generative AI capabilities can be used to provide a natural language interface to the knowledge graph.
  2. Transform unstructured data into knowledge graphs: Developers can leverage new generative AI capabilities in Vertex AI to process unstructured data, structure it, and load it into a knowledge graph.
  3. Real-time GenAI enrichment: Neo4j databases now have the ability to call Vertex AI services in real-time to enrich knowledge graphs.
  4. Support for vector embeddings: Neo4j can be leveraged to provide long-term memory for large language models through support of vector embeddings. Neo4j’s Graph Data Science supports more than 60 algorithms.
  5. Grounding with knowledge graphs: Grounding is the ability of enterprise customers to validate responses received from large language models against enterprise knowledge graphs. Developers can use LangChain along with Neo4j-based knowledge graphs to enable grounding use cases.

https://neo4j.com

Optimizely expands partnership with Contentsquare

Optimizely, a digital experience platform (DXP) provider, announced it has expanded its partnership with digital experience analytics platform Contentsquare to enhance its experimentation capabilities with comprehensive journey analytics. Zone-Based Heatmaps from Contentsquare is a part of a two-way integration that provides Optimizely Web Experimentation users with insights on customers’ in-page behavior, a deeper understanding of the reasons behind experiments’ performance, and a pathway toward optimized digital experiences.

Available as a Chrome Extension, Zone-Based Heatmaps allows marketing teams to access a holistic view of customer behavior needed to establish always-on optimization that fuels personalization. Zone-Based Heatmaps enables marketing teams to glean and quickly act on unique engagement, conversion, and revenue data for each of its website page elements. Paired with Optimizely, marketers can perform deeper evaluations of ongoing and completed experiments and uncover new, revenue-driving experiments to run.

In addition to Optimizely and Contentsquare customers, this news could help users of Google Optimize who will need an experimentation offering when the platform sunsets on September 30, 2023.

https://www.optimizely.com/insights/blog/optimizely-x-contentsquare-5-ways-were-better-together/

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