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01 Nov

Anthropic urges AI regulation to avoid catastrophes

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Anthropic has flagged the potential risks of AI systems and calls for well-structured regulation to avoid potential catastrophes. The organisation argues that targeted regulation is essential to harness AI’s benefits while mitigating its dangers. As AI systems evolve in capabilities such as mathematics, reasoning, and coding, their potential misuse in areas like cybersecurity or even biological and chemical disciplines significantly increases. Anthropic warns the next 18 months are critical for policymakers to act, as the window for proactive prevention is narrowing. Notably, Anthropic’s Frontier Red Team highlights how current models can already contribute to various cyber offense-related tasks and expects…

01 Nov

Creatio combines multiple AI types in new release of its no-code platform – SiliconANGLE

stp2y0 CommentsChat-GPTCreatio combines multiple AI types in new release of its no-code platform, Paul Gillin, SiliconANGLE

No-code platform developer Creatio Inc. today released a new version that combines agentic, generative and prescriptive artificial intelligence capabilities in a single platform driven by natural-language prompts. The “Energy” release can be used to build packaged capabilities called “skills” that perform common workflow and customer relationship management tasks involving decisions and autonomous actions. Creatio said its new approach can help businesses realize productivity savings of up to 80% for some knowledge worker tasks by combining different types of AI functions. Agentic AI operates autonomously, makes decisions and takes actions to pursue specific goals with strategies based on context and feedback. Generative AI…

01 Nov

Google Cloud’s security chief warns: Cyber defenses must evolve to counter AI abuses

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Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More While many existing risks and controls can apply to generative AI, the groundbreaking technology has many nuances that require new tactics, as well. Models are susceptible to hallucinations, or the production of inaccurate content. Other risks include the leaking of sensitive data via a model’s output, tainting of models that can allow for prompt manipulation and biases as a consequence of poor training data selection or insufficiently well-controlled fine-tuning and training. Ultimately, conventional cyber detection and response needs to be expanded…

01 Nov

Perplexity AI CEO Sputters When Asked to Define “Plagiarism” Onstage

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This ain't rocket science, dude. Simple DefinitionMerriam-Webster defines "plagiarism" as "to steal and pass off (the ideas or words of another) as one's own" — but apparently that definition has perplexed the CEO of a buzzy AI search startup.As TechCrunch reports, Perplexity chief executive Arvind Srinivas seemed speechless when asked to define plagiarism — which is telling, considering that Perplexity has repeatedly been accused of it in recent months.During the TechCrunch-hosted Disrupt 2024 conference, Srinivas struggled to summon a response when journalist Devin Coldewey asked him how the company defines the term. He looked around and sighed as a few audience members started laughing."Well you…

01 Nov

AI contact center provider Regal closes $40M round to scale personalized customer interactions – SiliconANGLE

stp2y0 CommentsChat-GPTAI contact center provider Regal closes $40M round to scale personalized customer interactions, Duncan Riley, SiliconANGLE

Contact center software startup Regal Voice Inc. announced today that it has raised $40 million in new funding to accelerate the rollout of its AI Phone Agents for contact centers. Founded in 2020, Regal is focused on redefining customer management through artificial intelligence-powered contact center software that combines automation with human-centric interactions. Differing from traditional models, Regal emphasizes high-touch experiences. That’s a customer service approach that prioritizes personalized, attentive interactions, adapting to individual needs to create a more engaging and satisfying experience. It does so by using generative AI agents to tailor communication based on real-time customer intent signals, addressing…

01 Nov

Patronus AI launches world’s first self-serve API to stop AI hallucinations

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Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A customer service chatbot confidently describes a product that doesn’t exist. A financial AI invents market data. A healthcare bot provides dangerous medical advice. These AI hallucinations, once dismissed as amusing quirks, have become million-dollar problems for companies rushing to deploy artificial intelligence. Today, Patronus AI, a San Francisco startup that recently secured $17 million in Series A funding, launched what it calls the first self-serve platform to detect and prevent AI failures in real-time. Think of it as a sophisticated…

01 Nov

Diffblue raises $6.3M for autonomous AI-powered test generation platform – SiliconANGLE

stp2y0 CommentsChat-GPTDiffblue raises $6.3M for autonomous AI-powered test generation platform, Kyt Dotson, SiliconANGLE

Diffblue Ltd., the maker of an autonomous generative artificial intelligence code test platform, said today it secured $6.3 million in new funding to build on its differentiated approach to generating unit tests for Java. The new capital came as an extension to the company’s Series A funding round, joined by existing investors IP Group, Parkwalk Advisors and AlbionVC, with additional participation from Oxford University and further investment from private investors through the Oxford Technology and Innovations EIS Fund. Citigroup Inc., a customer of Diffblue, joined the round via its venture capital arm Citi Institutional Strategic Investments as a new equity…

01 Nov

Noma arrives to provide security from data storage to deployment for enterprise AI solutions

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Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More As 2024 nears its conclusion, the state of play in enterprise technology is that companies of all sizes and domains are keen to leverage their data in generative AI applications that improve internal (employee-facing) or external (cusomter/partner-facing) processes. However, ensuring that they do so securely is another challenge — especially for companies that don’t specialize in security. For many enterprises, their existing security solutions may also be inadequate or unprepared for the AI era and the many capabilities they want to…

01 Nov

Enterprise process intelligence drives cross-industry efficiency – SiliconANGLE

stp2y0 CommentsChat-GPTSiliconANGLE, Three insights you might have missed from Celosphere24, Victoria Gayton

As enterprises navigate the rapid shift toward AI-driven business solutions, enterprise process intelligence has become essential for cohesive data integration. Process intelligence is increasingly recognized as a key enabler in optimizing complex workflows and unifying data systems across industries, supporting a more connected and efficient operational landscape. Celonis SE’s evolving capabilities reflect the industry-wide emphasis on actionable data insights and operational transparency. Through enhancements aimed at reducing data silos and streamlining core processes, the company highlights the potential for AI and enterprise process intelligence to create more responsive and cohesive business environments. Celonis’ Alex Rinke talks with theCUBE about platform…

01 Nov

Agentic future: Driving transformation in AI – SiliconANGLE

stp2y0 CommentsChat-GPTBrian Njuguna, Building an Agentic Future: How hyperautomation and AI fit into the picture, SiliconANGLE

As artificial intelligence, machine learning and robotic process automation continue to gain steam when it comes to the automation of complex business processes, they are setting the stage for an agentic future. This is because RPA is enabling the transition of manual and repetitive tasks into more autonomous and intelligent processes, fostering enhanced human creativity and problem-solving solutions, as evidenced by the PricewaterhouseCoopers International Ltd. research on banking, according to Amit Kumar (pictured, left), strategic sales and field chief information officer at UiPath Inc. UiPath’s Amit Kumar and PwC’s Kevin Kroen talk to theCUBE about what to expect in an…