Semiconductor giant Intel and digital infrastructure investment firm DigitalBridge Group announced the establishment of Articul8 AI, an independent company offering a generative AI (GenAI) platform focusing on enterprise clients.
The platform was created with intellectual property (IP) and technology developed at Intel and aims to assist large enterprises in integrating and scaling AI capabilities into their workflows and has been optimized on Intel hardware, however it also supports various infrastructure alternatives.
DigitalBridge Ventures led the investment in Articul8, with Intel and other venture investors participating. The company is led by former Intel executive Arun Subramaniyan, who serves as CEO.
Boston Consulting Group (BCG) has already deployed the platform within its organization and it is currently accessible to additional clients, a statement noted.
The platform is also designed to ensure secure data management within the enterprise perimeter and offers deployment options in the cloud, on-premises, or in a hybrid environment.
Gal Ringel, CEO at Mine, a global data privacy management firm, notes enterprises want flexibility when it comes to managing data, as enterprise data stacks run hundreds of SaaS programs and operate as an extremely complex ecosystem.
“GenAI is a resource-intensive, data-hungry initiative that carries unique data privacy and management challenges, so offering various deployment options allows organizations to more clearly choose how to approach those challenges,” he says.
From his perspective, the establishment of a platform such as Articul8 AI signals that the time to adopt enterprise AI solutions is in 2024.
“The general hype and interest in AI since ChatGPT’s launch in late 2022 has shown GenAI is going to be the most transformative technology for business since the advent of the Internet,” he says.
Intel and DigitalBridge Group said they plan to continue to collaborate on driving GenAI adoption in the enterprise.
Rob Lee, chief curriculum director and faculty lead at the SANS Institute of Technology, says he thinks the platform’s ability to segment and segregate large amounts of private corporate data will make it successful.
“Future success is in its ability to inject public and maintain the confidentiality and security of private data,” he adds. “This announcement could signify a growing trend in the AI industry, where collaboration among tech giants leads to more sophisticated, secure and adaptable AI solutions.”
Lee says the focus on enterprise GenAI platforms suggests a market shift towards specialized AI solutions tailored for large-scale, complex business environments.
“It indicates that as we move into 2024, the demand for AI platforms that can seamlessly integrate into existing enterprise infrastructures while offering advanced analytics, AI capabilities, and robust security is on the rise,” he explains.
This trend could also signal increased competition and innovation in AI, pushing forward AI technology advancements and its applications in the enterprise sector.
The release also noted Articul8’s focus sectors include finance, aerospace, semiconductors and telecommunications.
Patrick Harr, CEO at SlashNext, says these sectors have comprehensive regulatory and industry security requirements.
“An enterprise GenAI platform would be designed to meet enterprise security requirements that are typically not offered in open-source solutions,” he explains.
He points out as soon as GenAI solutions hit the market, security and a lack of regulations on GenAI were a top concern.
“Many large enterprises had to limit or forbid the use of GenAI solutions when they were launched, so having an enterprise-level GenAI platform will allow enterprises to leverage the productivity benefits of GenAI without the security risks of an open-source platform,” Harr says.
Dinesh Varadharajan, CPO at Kissflow, added these sectors manage extensive data requiring sophisticated analytics.
“Emphasizing greatly on risk management and regulatory compliance, they stand to save billions through enhanced operational efficiency,” he says. “GenAI assists by providing advanced analytics for deeper insights, thereby enhancing decision-making processes.”
Varadharajan explains it also plays a crucial role in monitoring, predicting, and mitigating risks, as well as in recognizing patterns for improved efficiency.
He says the Articul8 announcement highlights a significant shift towards the rapid adoption of GenAI technologies in enterprise environments, driven by their increasing sophistication and the growing recognition of their potential to enhance business operations and decision-making.
“The advancement of GenAI in the enterprise sector has already commenced and is expected to accelerate in 2024,” he predicted.
