Real-time Analytics News for the Week Ending January 25

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In this week’s real-time analytics news: C3 AI and McKinsey team to help businesses accelerate Enterprise AI transformations at scale.

Keeping pace with news and developments in the real-time analytics and AI market can be a daunting task. Fortunately, we have you covered with a summary of the items our staff comes across each week. And if you prefer it in your inbox, sign up here!

C3 AI announced a strategic alliance with McKinsey & Company to help clients and prospects across industries and geographies accelerate Enterprise AI transformations at scale.

The alliance combines the deep technical expertise of McKinsey’s AI practice, QuantumBlack, and its track record of deploying and scaling AI solutions across industries with C3 AI’s Enterprise AI software applications to help clients unlock the power of Enterprise AI and agentic AI to realize significant operational improvements and unlock new growth opportunities.

The joint offering will provide clients with:

  • Speed to value: C3 AI’s pre-built, industry-specific AI applications can be rapidly deployed and tailored to meet precise client needs.
  • Transformative scale and impact: QuantumBlack’s global scale and expertise will help clients deploy AI solutions that maximize impact and enable the rewiring of organizations using AI.
  • Reduced risk and accelerated adoption: The combined expertise of C3 AI and McKinsey will help clients navigate the complexities of AI implementations, mitigating risk and ensuring success.

OpenAI announced The Stargate Project, a new company that intends to invest $500 billion over the next four years building new AI infrastructure for OpenAI in the United States. The project will not only support the re-industrialization of the United States but also provide a strategic capability to protect the national security of America and its allies.

Arm, Microsoft, NVIDIA, Oracle, and OpenAI are the key initial technology partners. The buildout is currently underway, starting in Texas, and the companies are evaluating potential sites across the country for more campuses as definitive agreements are finalized.

As part of Stargate, Oracle, NVIDIA, and OpenAI will closely collaborate to build and operate this computing system. This builds on a deep collaboration between OpenAI and NVIDIA going back to 2016 and a newer partnership between OpenAI and Oracle.

This also builds on the existing OpenAI partnership with Microsoft. OpenAI will continue to increase its consumption of Azure as OpenAI continues its work with Microsoft with this additional compute to train leading models and deliver great products and services.

Other real-time analytics news in brief

Dataiku announced the launch of Dataiku Optimizer for Snowflake, a Snowflake Native App that empowers joint customers to monitor and improve their usage of Snowflake services while working within their Dataiku projects. Built using the Snowflake Native App Framework and Streamlit in Snowflake, Dataiku Optimizer is available on Snowflake Marketplace. In addition, eligible Snowflake customers can now use their Snowflake Capacity commitment toward Dataiku subscriptions as part of the Marketplace Capacity Drawdown Program, which is only available in select regions.

DigitalOcean introduced its new GenAI Platform, which allows customers to use foundational models from third-party providers to build and deploy AI agents without the need for advanced expertise in AI or machine learning. The solution offers intuitive workflows allowing customers to build chatbot experiences with third-party foundational models to support a number of real-world use cases, such as document analysis, intelligent customer service, automated workflows, and interactive conversational agents, with more use cases on the horizon.

FriendliAI and Hugging Face announced a strategic partnership that allows developers to utilize FriendliAI’s inference infrastructure service to deploy and serve models directly in the Hugging Face Hub. The partnership leverages the convenience of Hugging Face’s platform alongside FriendliAI’s high-performance infrastructure, enabling developers to streamline their AI development workflow and focus on innovation. Specifically, FriendliAI Endpoints are now available as a deployment option on the Hugging Face platform. Directly from any model page on Hugging Face, developers can now easily deploy models using FriendliAI’s accelerated, low-cost inference endpoints.

HEAVY.AI announced the general availability of the HEAVY.AI analytics platform with the NVIDIA GH200 Grace Hopper Superchip. The launch is part of the broader 8.2 release of the HEAVY.AI accelerated analytics platform. Support for running HEAVY.AI on the Grace Hopper Superchip means that users of the platform will be able to process faster and cheaper than previously possible. By leveraging the ultra-fast NVIDIA NVLink-C2C interconnect between the CPU and GPU, which features 900GB/sec of bidirectional bandwidth, data can be transferred between CPU and GPU at speeds of up to 7X faster than traditional PCIe-based systems.

Hexaware Technologies announced that it has entered into a collaboration with Amazon Web Services (AWS), with plans to strengthen its offerings in migration and modernization, data and AI, and generative artificial intelligence (AI)-powered customer experience solutions. Through this collaboration, Hexaware will help empower its customers to innovate and capitalize on real-time insights from data, unlock business value, and optimize operational efficiency across key sectors such as retail, banking, healthcare and life sciences, travel, transport, and hospitality. Additionally, AWS and Hexaware will collaborate to develop the company’s RapidX platform further to support clients for cloud-native product development and legacy modernization initiatives.

Plotly announced Dash Enterprise 5.6, a major update designed to empower data and AI teams to build data apps smarter with Plotly AI. By integrating advanced AI capabilities and enhancing scalability, this release empowers businesses to rapidly create efficient, interactive, and production-ready data applications. Key features of Dash Enterprise 5.6 include AI-Assisted Development (AIAD), Data Explorer Mode in AppStudio, SQL and Control Cells in AppStudio, simple application embedding in AppStudio, and more.

Postman announced the Postman AI Agent Builder, a suite that empowers developers to quickly design, test, and deploy intelligent agents by combining LLMs, APIs, and workflows into a unified solution. With centralized access to APIs from more than 18,000 companies, no-code modular development using Postman Flows, and built-in testing, Postman simplifies agent creation, enabling faster innovation and enhanced business efficiency.

Progress announced the launch of Progress Data Cloud, a managed Data Platform as a Service designed to simplify enterprise data and artificial intelligence (AI) operations in the cloud. With Progress Data Cloud, customers can accelerate their digital transformation and AI initiatives while reducing operational complexity and IT overhead. Core benefits of the solution include simplified operations, enhanced security, scalability and performance, streamlined user management, and more.

SandboxAQ announced a partnership with Google Cloud to integrate and optimize its platform of Large Quantitative Models (LQMs) on Google Cloud while enabling seamless procurement and deployment of SandboxAQ’s solution through Google Cloud Marketplace. SandboxAQ’s quantitative AI technologies will leverage Google Cloud as its preferred cloud provider.

TigerGraph announced Savanna, a next generation cloud graph database. The solution enables Native Parallel Graph (NPG) massively parallel storage and computation to scale independently and without size limits, to meet the changing workloads and growing data volumes required by AI adoption within enterprises. The fully managed service handles underlying infrastructure and maintenance, freeing companies to leverage the 300+ APIs to automate deployment, configuration, and monitoring.

If your company has real-time analytics news, send your announcements to [email protected].

In case you missed it, here are our most recent previous weekly real-time analytics news roundups:

Salvatore Salamone

About Salvatore Salamone

Salvatore Salamone is a physicist by training who has been writing about science and information technology for more than 30 years. During that time, he has been a senior or executive editor at many industry-leading publications including High Technology, Network World, Byte Magazine, Data Communications, LAN Times, InternetWeek, Bio-IT World, and Lightwave, The Journal of Fiber Optics. He also is the author of three business technology books.

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