Snowflake’s New Cortex Agents Bridge AI and Enterprise Data Like Never Before - Related to openai’s, goku, take, verint’s, google’s

ByteDance Unveils Goku to Take on Google’s Luma and OpenAI’s Sora

ByteDance, the parent firm of TikTok, has dropped a family of joint image-video generation models called Goku. The models seem to be named after the popular anime character ‘Goku’ from the Dragon Ball series.

This comes right after the enterprise teased a video AI model that generates videos from images, dubbed OmniHuman-1.

Researchers claim that the Goku models help create product videos featuring AI-generated influencers, marketing avatars, landscape demos, visualising Chinese poetry, portrait video demos, and more.

The research paper attributes the model’s ability to generate high-quality videos to several key factors. One is the implementation of a rectified flow (RF) formulation for joint image and video generation and the employment of a 3D joint image-video VAE to compress inputs into a shared latent space.

Moreover, the architecture attributes a Transformer network with full attention, enhanced with techniques like FlashAttention, sequence parallelism, Patch n’ Pack, 3D RoPE position embedding, and Q-K normalisation.

The paper also states that the Goku models demonstrate superior performance in both qualitative and quantitative evaluations, setting new benchmarks when compared to competitors like Luma, Open-Sora, Mira, and Pika.

Goku achieved [website] on GenEval, [website] on DPG-Bench for text-to-image generation, and [website] on VBench for text-to-video tasks. You can see the benchmark results below.

“We believe that this work provides valuable insights and practical advancements for the research community in developing joint image-and-video generation models,” the researchers noted.

The model’s ability to generate high-quality product videos featuring AI-generated influencers and other realistic visuals could hugely benefit content creators, influencers, marketers, and others.

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Snowflake’s New Cortex Agents Bridge AI and Enterprise Data Like Never Before

Snowflake has launched Cortex Agents, a fully managed service aimed at integrating, retrieving, and processing structured and unstructured data at scale.

Cortex Agents plan tasks, execute them using tools, and refine responses for improved accuracy. Available via a REST API, the service integrates into applications using Cortex Analyst for structured data (SQL generation) and Cortex Search for unstructured data retrieval.

The new solution, now in public preview, enables businesses to build AI-driven applications with advanced governance and security functions.

The Cortex Agents framework integrates Anthropic’s Claude [website] Sonnet, which enhances reasoning, coding, and workflow execution within Snowflake’s secure perimeter.

Cortex Agents review user queries and break them into structured and unstructured components. For example, a business user can request top distributors by revenue (structured) and then ask about contract details (unstructured). The agent disambiguates queries, splits tasks, and selects tools for execution.

Cortex Analyst, a fully managed LLM-powered Snowflake Cortex feature, generates SQL for structured data, while Cortex Search retrieves insights from text, audio, and images. The system ensures governed access and compliance while mapping business terms to structured data using semantic understanding.

Cortex Analyst has achieved 90% accuracy in text-to-SQL use cases.

On the other hand, Cortex Search has outperformed OpenAI’s embedding models by 12% in unstructured data retrieval accuracy. It supports large-scale indexing, improved affordability, and customisable vector embeddings.

Snowflake also introduced Cortex AI Observability, powered by TruLens, for the evaluation and tracing of AI agents. “AI observability can evaluate agent performance using techniques such as LLM-as-a-judge, allowing consumers to refine and optimise their applications,” Snowflake showcased.

Snowflake sees AI agents as a transformative force for enterprises, automating complex tasks and improving efficiency across industries such as finance, engineering, and customer support. “As LLMs continue to advance, agents will collaborate, plan, execute, and refine tasks, driving efficiency and reducing costs,” the organization noted.

What if I told you that the biggest winner in this AI arms race isn't OpenAI, Meta, Google… or even DeepSeek?

How Verint’s GIC in Bengaluru Will Contribute to its Global R&D

Verint, a global leader in customer experience (CX) automation, has introduced the establishment of its new Global Innovation Centre (GIC) in Bengaluru. The firm plans to expand the GIC to approximately 1,000 employees by the end of 2026 and continue the expansion of its workforce by 15-20% every year.

The firm is looking to hire engineers specialising in AI, cloud, data design, and data science.

In a conversation with AIM, Rob Scudiere, CTO of Verint, and Ajayy M Dawar, vice president of the GIC, elaborated on the rationale behind the establishment and how the innovation hub will contribute to the global R&D of the company.

Verint has been present in Bengaluru for over 20 years, making it a natural choice for the organization’s first GIC. Scudiere, who has over 25 years of experience in the SaaS industry, emphasised Bengaluru’s role in driving Verint’s vision of being a pioneer in CX automation.

“Our technology solutions are designed to help organisations achieve AI-driven business outcomes, reducing costs, increasing efficiency, and enhancing customer experience. The incredible talent in Bengaluru is a key enabler of this vision,” Scudiere mentioned.

Reinforcing this perspective, Dawar pointed out that Verint’s office in Bengaluru has seen significant year-over-year growth. “We have been investing in this facility, expanding by 40-50% annually. Beyond R&D, we also have customer care and other key functions based here, which gives us the leverage to focus on innovation,” he said.

Ajay Dewar, Peter Fante, Rob Scudiere, Vikas Sood, Anil Chawla and Verint team cutting the ribbon to mark the launch of their first GIC.

With AI automation playing an increasing role in GCC operations, Verint aims to prioritise employee upskilling and reskilling at the GIC.

“We have a great talent pool, and we continue to bring in experienced hires and fresh graduates from top IT universities,” Scudiere noted. Notably, the organization has been actively hiring experienced AI and cloud professionals while collaborating with top universities to bring in fresh talent.

“We have a structured program for career development and training, covering areas like cloud computing, AI, and data science. Additionally, we partner with hyperscalers to leverage their training programs at reasonable costs. Our hackathons further foster an environment of continuous innovation,” Scudiere explained.

The executives revealed that while the firm is hiring from external avenues, it has internal plans to retain existing talent and continue developing them.

“This is a talent hub for us, and we’ve been investing in this facility year over year. It made sense to continue expanding in one location where we have established capabilities rather than branching out elsewhere,” Dawar added.

With the GIC’s focus shifting toward R&D and innovation, Scudiere highlighted some of the major contributions coming from its GICs globally. He believes Bengaluru will contribute in the same way. Rather than working on isolated projects, the centre will be fully integrated into Verint’s global strategy.

One such innovation is the Data Insights Bot, an AI-powered solution that helps individuals gain actionable insights and automate processes.

Moreover, Verint’s GIC will play a crucial role in developing TimeFlex, a tool that democratises how agents manage their schedules without supervisor intervention. “We are seeing significant business outcomes from TimeFlex, including increased employee satisfaction and reduced agent attrition,” Scudiere expressed.

As part of Verint’s AI-driven CX strategy, the organization has introduced a suite of AI agents under its Copilot brand. These AI-powered bots are designed to optimise customer interactions and streamline workflows.

Scudiere outlined the five core AI agents currently in deployment:

Smart Transfer Bot – Ensures seamless transitions between self-service and assisted channels.

– Ensures seamless transitions between self-service and assisted channels. Coaching Bot – Provides real-time guidance to agents during customer interactions.

– Provides real-time guidance to agents during customer interactions. Knowledge Bot – Conducts behind-the-scenes research to deliver relevant information to agents.

– Conducts behind-the-scenes research to deliver relevant information to agents. Call Summary Bot – Automatically summarises customer conversations for improved efficiency.

– Automatically summarises customer conversations for improved efficiency. CX/EX Scoring Bot – Monitors real-time sentiment between agents and consumers, offering supervisors valuable insights.

These AI-driven solutions have delivered significant cost savings for clients, enabling them to reinvest in customer experience initiatives while improving operational efficiency. However, Dawar clearly stated that AI agents are not intended to replace human employees.

“We see AI as an opportunity to enhance innovation, not as a replacement for people. This is just the beginning, and we are excited about the doors it will open for us and our consumers,” he showcased.

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