intelligence360

The Intelligent News Source

Tag: University of Baltimore

University of Baltimore to spend $120 Million to occupy 127,000 square feet of space in Baltimore Maryland.

Baltimore, Maryland — According to state and local development sources, University of Baltimore plans to invest $120 Million to build out 127,000 square feet of new space in Baltimore. The company plans to occupy the…

intelligence360

Source: http://www.intelligence360.io/ and https://intelligence360.news/

Regal, the most customer-centric contact center software, has announced the completion of a $40 million funding round to accelerate the rollout of its groundbreaking AI Phone Agents for contact centers. Regal has now raised $83 Million in total. This new funding marks a significant step forward in Regal’s mission to build a new standard in high-touch, personalized customer communication leveraging generative AI. Large early online retailers saw contact centers as an unnecessary cost center. They pushed legacy Contact Center (CCaaS) providers to focus on building tools to lower contact center costs with one-size-fits-all strategies like deflecting inbound customers to self-serve or lower-cost channels like deterministic chatbots. But customer satisfaction with contact centers and the current “low-touch” model is at an all time low. Unlike traditional contact center software, Regal’s technology provides a high-touch (but cost-efficient) model that understands customer intent signals, tailors interactions to each customer, and automates multi-touch inbound and outbound interactions with a blend of Regal AI Agents and your human agents.

The new capital will enable Regal to accelerate the rollout of its AI Agents to contact centers. Regal will offer AI Agents tailored for healthcare, education, insurance, and local/home services – including specific use cases like qualification, inbound routing, scheduling, and reminders. In a statement Alex Levin, CEO and co-founder of Regal said, “With this funding, we’re excited to continue re-imagining the core contact center technology and the way businesses engage with their customers.” “Our high-touch CCaaS puts the customer at the center of every interaction. Instead of optimizing to treat everyone the same at the lowest cost, we aim to reach the right customer with the right message at the right time, enabling businesses to ensure high-quality, personalized, affordable customer interactions.”

Source: http://www.intelligence360.io/ and https://intelligence360.news/

Connecty AI, emerging from stealth today with $1.8 million in pre-seed funding, has developed a context engine that tackles the inherent complexity in enterprise data. The round was led by Market One Capital, with participation from Notion Capital and data industry experts including Marcin Zukowski, co-founder of Snowflake and Maciej Zawadzinski, Founder of Piwik PRO.

Today, enterprise data teams navigate complexity across three critical dimensions: horizontal data pipelines (including multi-source ingestion, multi-cloud data warehousing, data lineage tools, and cataloging systems), diverse consumption patterns (spanning CRM systems, BI dashboards, and machine learning applications), and distributed human knowledge across roles like data engineers, analysts, governance teams, and functional managers. While early AI solutions attempted to automate data workflows by interpreting complex schemas, these models fall short in enterprise environments. Even 90% accuracy isn’t enough when dealing with real-world data complexity. Large Language Models need more than static schema files; they require a continuously evolving, cohesive understanding across systems and teams.

In a statement Aish Agarwal, CEO of Connecty AI said, “Our experience has shown us that effective data management is about more than just technology—it’s about connecting the dots between data sources, business objectives and the people who use them.” “Any ad-hoc ‘guerrilla style experimentation’ with LLM data agents can lead to a pilot application but it’s a lot harder to build a production level application that is reliable.” Looking ahead, Connecty AI will expand its context engine’s capabilities across additional data sources and offer it as a service via API. In a market flooded with AI tools that promise to replace human analysts but deliver unreliable results, Connecty AI is taking a fundamentally different approach – embracing the complexity of enterprise data environments and augmenting rather than replacing human expertise.

Load More... Subscribe