Category: Computing & data (Page 3 of 95)

Computing and data is a broad category. Our coverage of computing is largely limited to software, and we are mostly focused on unstructured data, semi-structured data, or mixed data that includes structured data.

Topics include computing platforms, analytics, data science, data modeling, database technologies, machine learning / AI, Internet of Things (IoT), blockchain, augmented reality, bots, programming languages, natural language processing applications such as machine translation, and knowledge graphs.

Introducing Markup AI: Your enterprise content guardian agent

September 17, 2025 / NewsShark

Generative AI has unleashed content that traditional review processes can’t keep up with. Content marketers use AI, yet most tools stop at spelling, grammar, or readability checks. Enterprises operate at industrial scale with thousands of authors, dozens of LLMs, millions of pages, and vast policy and terminology libraries. Without automated oversight, risk compounds fast.

Launched as a spinoff of NLP pioneer Acrolinx, Markup AI delivers an integrated suite of Content Guardian Agents for enterprise use cases:

Scan, Score, Rewrite – Agents analyze content against brand, terminology, compliance, and industry standards, assign a deterministic trust score, and instantly provide actionable rewrites.
Customizable Criteria – Enterprises can set governance rules (rewrite automatically or require human review) to balance efficiency and oversight.
Developer-First Architecture – With an API-first, MCP-powered design, Content Guardian Agents integrate into tools enterprises already use including Cursor, Figma, ChatGPT, Github Actions, Zapier. These integrations deliver compliance and quality checks without disrupting workflows.
Enterprise-Ready Scalability – Built for mission-critical environments, Guardian Agents plug into CI/CD pipelines, authoring tools, and enterprise applications to guard content wherever it’s created.

Markup AI also launched five AI Agents to address a core element of content quality: Terminology Agent, Consistency Agent, Tone Agent, Clarity Agent, Spelling & Grammar Agent.

https://markup.ai/blog/introducing-markup-ai-your-enterprise-content-guardian/

Market Logic launches DeepSights Persona Agents

September 16, 2025 / NewsShark

Market Logic Software released DeepSights Persona Agents, that transform static customer profiles into dynamic, AI-powered conversational personas. DeepSights Persona Agents enable real-time, natural language interactions that allow marketing, insights, and product teams to explore and test ideas.

DeepSights Persona Agents are synthetic representations of customer groups, built from segmentation data and behavioural insights. Guided by detailed prompts, each Persona Agent Persona Agent reflects a specific segment’s mindset, behaviours, and preferences.

Business users can engage with personas to ask questions, test creative content, and ideate products or campaigns without waiting for live research. Conversations can be conducted with one Persona Agent or with several Persona Agents simultaneously in a virtual focus group.

DeepSights Persona Agents are modeled on data unique to each business:

Summaries of the reports research teams have already built using quantitative and qualitative data can be incorporated into the platform and transformed into interactive characters.
Where companies do not have existing segment analysis, Market Logic can generate interactive personas from transcripts of interviews with their own human customers.

Market Logic provides an implementation service of less than two weeks incorporating setup, testing, and rollout support.

https://marketlogicsoftware.com/news/2025/market-logic-launches-persona-agents-a-breakthrough-in-ai-powered-customer-insight

Adobe releases AI agents for customer experience orchestration

September 10, 2025 / NewsShark

Adobe announced the general availability of AI agents to help businesses build, deliver and optimize customer experiences and marketing campaigns. Powered by the Adobe Experience Platform (AEP) Agent Orchestrator, Adobe is also creating an AI platform for businesses to manage and customize agents from Adobe and across third-party ecosystems, ensuring agents can understand context, plan multi-step actions, and refine responses. AEP, used by businesses to connect real-time data across their organization, anchors Adobe’s offerings in understanding enterprise data, content and workflows.

Adobe also announced the general availability of AEP Agent Orchestrator, including a reasoning engine to drive contextually relevant and goal-oriented automated actions, with support for refinement using a “human-in-the-loop” approach.

Out-of-the-box agents will be available in Adobe applications such as Real-Time Customer Data Platform, Experience Manager, Journey Optimizer, and Customer Journey Analytics.

Audience Agent helps teams create and monitor audiences for personalization initiatives.
Journey Agent supports building and optimizing customer journeys across channels.
Experimentation Agent analyzes test results and suggests optimizations.
Data Insights Agent enables visualization and forecasting from customer signals.
Site Optimization Agent flags website issues such as broken links or low-performing pages.
Product Support Agent assists users with troubleshooting, case creation, and tracking.

https://news.adobe.com/news/2025/09/adobe-announces-general-availability-ai-agents

Optimizely debuts agent orchestration platform

September 10, 2025 / NewsShark

Optimizely, a digital experience platform (DXP) provider, announced agentic capabilities to enhance its AI offering, Optimizely Opal. Opal now gives marketing and digital teams access to a library of specialized agents, the ability to build their own agents, and a drag-and-drop interface to orchestrate workflows that connect with existing data and tools.

Optimizely also recently introduced a GEO-ready CMS, a visibility engine made for AI-powered search. With capabilities for both page and site-wide optimization, as well as GEO analytics, the CMS helps ensure content gets found and stays seen as tools like ChatGPT, Perplexity, and Gemini are increasingly used as search engines.

The platform includes a library of dozens of ready-to-use, specialized AI agents that customers can deploy immediately into their operations. These agents cover a wide range of tasks—from drafting and scheduling content to checking copy for legal or compliance issues, and from conducting competitive research to analyzing web performance with Google Analytics. They are also built to work across Optimizely products, including CMS, CMP, and Experimentation.

Marketers can connect Opal to their existing data sources or plug in third-party tools, ensuring agents work with relevant, real-time context. Users can also access Opal directly through Slack.

https://www.optimizely.com/company/press/ai-orchestration-platform

Atlassian to acquire The Browser Company

September 4, 2025 / NewsShark

From the Atlassian blog… (Also see details from The Browser Company)

Building the AI browser for knowledge workers – a browser that helps you do, not just browse.

Today, I’m excited to share an exciting step forward for Atlassian. We’ve entered into an agreement to acquire The Browser Company of New York, the team behind the incredible Dia and Arc browsers.

By combining The Browser Company’s passion for building browsers people love with Atlassian’s deep expertise on how the world’s best teams operate, we have the opportunity to transform how work gets done in the AI era…

Today’s browsers weren’t built for work. They were built for browsing – reading the news, watching videos, looking up recipes. And sure, you may do some of those things in your browser during the workday, but most of those tabs represent a task that needs to get done. A meeting to schedule. A design to review. A work item to update in Jira. A memo to write. Before you know it, it’s hard to see through the forest of tabs.

Knowledge workers need a browser designed for their specific needs, not one that’s been built for everyone on the planet. That’s what we will build with The Browser Company. Our vision is to make Dia the browser:

Optimized for the SaaS apps where you spend your day. Whether you’re working in email or a project management tool or a design app, your tabs will be enriched with context that helps move your work forward.

Packed with AI skills and your personal work memory to connect the dots between your apps, tabs, and tasks.

Built with trust and security in mind Security, compliance, and admin controls will be baked into every aspect of Dia.

https://www.atlassian.com/blog/announcements/atlassian-acquires-the-browser-company ■ https://browsercompany.substack.com/p/your-tuesday-in-2030

Neo4j launches Infinigraph

September 4, 2025 / NewsShark

Neo4j, a graph database and analytics platform, unveiled Infinigraph: a new distributed graph architecture available in Neo4j’s self-managed offering. Infinigraph enables Neo4j’s database to run operational and analytical workloads together in a single system at 100TB+ scale, without fragmenting the graph, duplicating infrastructure, or compromising performance.

Teams can run both types of workloads in the same system, without ETL pipelines, sync delays, or redundant infrastructure. It can power autonomous agents, compliance systems, and transactional applications on one consistent source of connected truth. Teams can detect fraud and analyze fraud rings from the same dataset. They can generate real-time customer recommendations while analyzing decades of customer data and behavioral trends.

The database guarantees full ACID compliance so that every read, write, and update is consistent, reliable, and recoverable, even with billions of relationships and thousands of concurrent queries run in real time.

The new architecture uses sharding that distributes the graph’s property data across different members of a cluster. The graph stays logically whole, queries behave as expected, and applications scale without code changes or manual workarounds.

Infinigraph is available now as part of Neo4j’s Enterprise Edition and will soon be available in AuraDB, Neo4j’s cloud-native platform for graph applications.

https://neo4j.com/press-releases/neo4j-launches-infinigraph

Bloomreach and Snowflake partner

July 22, 2025 / NewsShark

Bloomreach, a platform for personalization, today announced a new partnership with the Snowflake AI Data Cloud, empowering businesses to activate enterprise-grade data infrastructures across marketing channels. With Bloomreach and Snowflake, businesses can combine customer engagement with maximum personalization, connecting customer data stored in Snowflake with Bloomreach’s AI-powered marketing solutions. This partnership ensures marketers can activate their Snowflake data instantly and intelligently through Bloomreach.

Bloomreach’s native Snowflake integration is already available to businesses. It securely syncs customer attributes, event data, and product catalogs from Snowflake into Bloomreach. Businesses unlock the full value of their customer data, breaking down silos between storage and activation, and enabling personalization powered by AI.

Additionally, this integration enables marketing teams to:

Power Loomi AI agents in Bloomreach with enriched customer and product intelligence
Automate campaign triggers based on Snowflake events
Deliver timely personalization with fresh data and hyper-relevant insights
Safeguard sensitive data through selective import capabilities, transferring only the specific data required for a given use case

https://www.bloomreach.com/en/news/2025/bloomreach-and-snowflake-partner-to-unify-customer-data-and-ai-driven-activation-helping-marketers-personalize-the-entire-customer-journey/

TileDB announces partnership with Databricks to harness multimodal data

July 22, 2025 / NewsShark

TileDB, a multimodal database company, and Databricks, a Data and AI company, announced a strategic partnership to eliminate data silos preventing healthcare and life sciences organizations from fully leveraging AI-driven drug discovery and clinical insights.

The partnership addresses the challenge of integrating complex scientific data that TileDB supports, including multiomics, medical imaging, and clinical records with the Databricks Data Intelligence Platform and Databricks’ analytics workflows — enabling the development of AI agents that can analyze all data types without requiring costly data migration or transformation.

TileDB addresses offers a sophisticated, omnimodal data management platform, which takes the notion of multimodality beyond text, video, audio, and images, and adds scientific modalities using multi-dimensional arrays. Scientific modalities are ever-evolving, and the omnimodal philosophy can support whatever is the most relevant and important data today. The TileDB – Databricks partnership establishes a bi-directional bridge between specialized data storage and powerful compute capabilities, underpinned by Databricks’ unified data governance model.

The integration is available now in private preview with select customers, and enables data stored in TileDB’s high-performance array database to run on the Databricks Data Intelligence Platform, and vice versa. Additional features will be rolled out in the second half of this year.

https://www.tiledb.com

Category: Computing & data (Page 3 of 95)

Introducing Markup AI: Your enterprise content guardian agent

Market Logic launches DeepSights Persona Agents

Adobe releases AI agents for customer experience orchestration

Optimizely debuts agent orchestration platform

Atlassian to acquire The Browser Company

Neo4j launches Infinigraph

Bloomreach and Snowflake partner

TileDB announces partnership with Databricks to harness multimodal data

Subscribe to the Gilbane Advisor

Choose Language

Topics we cover

Policies

Contact