Artificial intelligence has been globally transformational and it’s set to become even more exciting in the new year. In fact, according to IDC, companies all over the world are expected to spend about $307 billion on AI solutions in 2025, growing to $632 billion by 2028. “AI will have a cumulative global economic impact of $19.9 trillion through 2030 and will drive 3.5% global GDP in 2030, IDC predicts,” as noted by CNBC. With that, some of the biggest beneficiaries could be VERSES AI (CBOE: VERS) (OTCQB: VRSSF), Nvidia (NASDAQ: NVDA), Microsoft (NASDAQ: MSFT), Advanced Micro Devices (NASDAQ: AMD) and Cisco (NASDAQ: CSCO). Even more exciting, the AI story is far from over.
Analysts at McKinsey say the AI market opportunity to swell to $17 trillion to $25 trillion by 2030. And, according to Grand View Research, the global AI market could grow from about $137 billion in 2022 to more than $1.81 trillion by 2030.
Even more exciting is Artificial General Intelligence (AGI), a type of artificial intelligence that is creating machines with human-like cognitive abilities. VERSES AI, for example, VERSES AI is modeling technology after nature’s blueprint. In contrast to the “artificial” approaches to intelligence, VERSES AI’s technology is rooted in what is known as Natural Computing.
This approach doesn’t merely mimic nature; it seeks to understand and implement its fundamental processes. Unlike traditional computer programs that follow rigid rules, or current AI systems that lack memory and accuracy. VERSES AI’s Genius combines the power of natural algorithms, knowledge modeling and data transformation to create a more flexible and intelligent system.
Look at VERSES AI Inc. (CBOE: VERS) (OTCQX: VRSSF)
VERSES AI Inc., a cognitive computing company specializing in next-generation intelligent systems, announces the release of a software update of its flagship product Genius™ to its beta program participants.
“Our flagship product, Genius, features a collection of tools designed for developing and deploying Genius agents, assisting machine learning practitioners—such as programmers, coders, engineers, and researchers—in tackling unprecedented AI challenges,” said Hari Thiruvengada, Ph.D., VERSES® Chief Technology Officer. “In this release, we are introducing powerful enhanced reasoning and planning capabilities, accompanied by comprehensive explainability, to our toolkit. Furthermore, we have improved the user experience by providing a new model building interface with simplified tutorials and deployment processes based on initial feedback from early beta users. This is merely the beginning of our commitment to continuous improvement. Looking ahead, our product roadmap is strategically designed to deliver additional valuable and advanced capabilities to our customers shortly.”
“Led by Hari, our product team has done an incredible job advancing Genius towards this commercial release,” said Gabriel René, founder and CEO of VERSES. “Genius is truly groundbreaking with capabilities beyond state of the art Gen AI tools. Genius enables agents to reason, like we do as humans, to plan and take actions based on that reasoning, while offering explainability and traceability. We are excited with this rollout to get these tools into new partners and developer’s hands, to empower them to elevate their abilities to create agent-based solutions across a spectrum of industries.”
“Beyond this, we look forward to showcasing some of the early performance results in comparison to other AI models both in benchmark tests as well as additional side by side demonstrations in the near future.”
This release will initially be available to existing beta partners, select journalists, and industry experts.
The Company anticipates offering the commercial release of Genius to new partners in the coming months.
Product Features:
Genius Agent: A simplified and high-performing standard agent that can run on any compatible data model.
Modeling & Validation Tooling: Intuitive low-code user interface for modeling and structuring cause and effect in data.
Robust APIs: enable users to directly access and integrate inference capabilities to their existing tools and infrastructure.
Enhanced Inference and Learning: Advanced Reasoning and planning for making decisions with uncertainty using Bayesian inference.
Genius User Enablement: Simplified tutorials and examples allow users to start quickly and achieve value faster.
Ease of installation and use: VERSES Cloud hosted offering enables quick access and availability.
User Analytics: Integrated tools for user analytics for optimal management of features and user performance.
Other related developments from around the markets include:
Nvidia reported revenue for the third quarter ended October 27, 2024, of $35.1 billion, up 17% from the previous quarter and up 94% from a year ago. For the quarter, GAAP earnings per diluted share was $0.78, up 16% from the previous quarter and up 111% from a year ago. Non-GAAP earnings per diluted share was $0.81, up 19% from the previous quarter and up 103% from a year ago. “The age of AI is in full steam, propelling a global shift to NVIDIA computing,” said Jensen Huang, founder and CEO of NVIDIA. “Demand for Hopper and anticipation for Blackwell — in full production — are incredible as foundation model makers scale pretraining, post-training and inference. “AI is transforming every industry, company and country. Enterprises are adopting agentic AI to revolutionize workflows. Industrial robotics investments are surging with breakthroughs in physical AI. And countries have awakened to the importance of developing their national AI and infrastructure,” he said.
Microsoft Ignite, C3 AI, the Enterprise AI application software company, and Microsoft Corp. announced a strategic alliance to accelerate the adoption of Enterprise AI on Microsoft Azure. The agreement marks a significant milestone in C3 AI and Microsoft’s existing partnership, further combining C3 AI’s Enterprise AI–native application software, including C3 Generative AI, with Azure’s robust and expansive ecosystem to the benefit of enterprises globally. “C3 AI has pioneered Enterprise AI for over a decade, accelerated by collaboration with Microsoft to enable iconic organizations to solve some of the hardest business challenges of the 21st century,” said Thomas M. Siebel, Chairman and CEO, C3 AI. “This strategic alliance accelerates the adoption of Enterprise AI, benefiting customers with broadly available enterprise AI application software to achieve rapid time-to-value in supply chain optimization, production optimization, predictive maintenance, government efficiency, ESG goal attainment, and energy management.”
Cisco, the worldwide leader in networking and security, today announced the findings from the second annual AI Readiness Index. The report explores how prepared organizations are to invest in, deploy and use AI. Nearly eight thousand organizations took part in the report. Most notably, the report highlights a huge chasm between the urgency companies feel to deploy AI and their readiness to do so. Nearly all companies (98%) report the urgency to deploy AI has increased in the last year. However, the research found that from 2023 to 2024, global AI readiness in the enterprise has actually declined. Only 13% of companies today are fully ready to capture AI’s potential – down from 14% a year ago. Given the rapid market evolution and the significant impact AI is anticipated to have on businesses, this gap between urgency and ability is especially startling.
Advanced Micro Devices announced the AMD Versal™ Premium Series Gen 2, an adaptive SoC platform designed to deliver the highest levels of system acceleration for a wide range of workloads. Versal Premium Series Gen 2 will be the FPGA industry’s first devices featuring Compute Express Link (CXL®) 3.1 and PCIe® Gen6 as well as LPDDR5X memory support in hard IP. These next-generation interface and memory technologies access and move data rapidly and efficiently between processors and accelerators. CXL 3.1 and LPDDR5X help unlock more memory resources faster to address the growing real-time processing and storage demands of data-intensive applications in data center, communications, test and measurement, and aerospace and defense markets.
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