Artificial Intelligence News for the Week of July 11; Updates from Capgemini, Cerebras, Cloudian & More

Artificial Intelligence News for the Week of July 11

Keeping tabs on all the most relevant artificial intelligence news can be a time-consuming task. Our editorial team provides a summary of the top headlines from the last week in this space, covering vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy artificial intelligence news items.

This Week's Top AI News

Accenture and Microsoft Expand Cybersecurity Partnership with GenAI Solutions

Accenture and Microsoft have deepened their partnership to deliver generative AI-powered cybersecurity solutions. The collaboration focuses on modernizing security operations, automating data protection, and enhancing identity and access management, aiming to help organizations tackle advanced threats, optimize security tools, and reduce operational costs.

Capgemini to Acquire WNS, Creating a Global Agentic AI Powerhouse

Capgemini has announced its acquisition of WNS for $3.3 billion. This strategic move aims to position Capgemini as a global leader in agentic AI-powered intelligent operations, combining the strengths of both companies in digital business process services to address the growing demand for AI-driven transformation.

Cerebras Launches Qwen3-235B: The World’s Fastest Frontier AI Model with 131K Context

Cerebras has unveiled Qwen3-235B, a groundbreaking AI reasoning model now available on the Cerebras Inference Cloud. This model features a massive 131,000-token context window and is reported to deliver code generation and reasoning at significantly faster speeds and lower costs compared to leading closed-source alternatives.

CapStorm Launches CapStorm:AI for Secure, Self-Hosted Data Insights

CapStorm has unveiled CapStorm:AI, a self-hosted AI solution designed to allow organizations to interact with their Salesforce and SQL data using natural language. The platform provides real-time dashboards and insights without requiring coding, keeping all data within the organization’s environment for maximum security and control.

Cloudian Unveils Unified AI Inferencing and Data Storage Platform

Cloudian has launched a new platform integrating high-performance object storage with AI inferencing capabilities. This solution combines Cloudian HyperStore's storage performance with integrated support for the Milvus vector database, simplifying enterprise AI infrastructure and enabling real-time, low-latency AI inferencing on large datasets.

Cognizant Debuts Agent Foundry to Scale Agentic AI Across Enterprises

Cognizant has introduced Agent Foundry, a framework intended to help enterprises deploy and orchestrate autonomous AI agents at scale. The offering utilizes modular design, reusable assets, and multi-platform interoperability to enable organizations to embed agentic capabilities into their workflows for adaptive operations and real-time decision-making.

AI-Driven Cloud Demand Powers Record Q2 Growth in Global IT and Business Services

The latest ISG Index™ reveals that surging demand for cloud services, largely driven by enterprise AI initiatives, propelled the global IT and business services market to a record $29.2 billion in Q2, a 17% year-over-year increase. Cloud-based 'as-a-service' offerings saw substantial growth, fueled by infrastructure investments from major hyperscalers.

ManageEngine Report: Shadow AI as a Strategic Advantage

A new report from ManageEngine highlights differing perspectives on 'shadow AI' (unauthorized AI tool use). While IT leaders largely see significant risks, employees often perceive risks as minimal or outweighed by rewards. The report notes the rapid adoption of unapproved AI tools and identifies data leakage as a primary concern.

National Academy for AI Instruction Launches with Microsoft, OpenAI, Anthropic, and AFT

The American Federation of Teachers (AFT), supported by major tech companies, is launching the National Academy for AI Instruction. This initiative aims to train educators to effectively use AI technology in the classroom, with significant financial contributions from the supporting partners.

SambaNova Launches First Turnkey AI Inference Solution for Data Centers

SambaNova has introduced SambaManaged, a turnkey AI inference solution designed for rapid deployment in data centers, aiming for deployment within 90 days. This modular system, powered by SambaNova's SN40L AI chips, allows existing data centers to offer high-performance AI inference services with minimal infrastructure changes, addressing the demand for rapid, scalable AI infrastructure.

WEKA Debuts NeuralMesh Axon for Exascale AI Deployments

WEKA has introduced NeuralMesh Axon, a storage system engineered for exascale AI workloads. Leveraging a fusion architecture, it is designed to deliver significantly faster AI performance and high GPU utilization, tackling challenges in large-scale AI training and inference. The system integrates with GPU servers and AI factories to accelerate AI model development and maximize infrastructure efficiency.

Expert Insights

Stay informed through expert advice, best practices, predictions, and insights from the enterprise tech community focusing on the human conversation around AI.

The Digital Analyst with John Santaferraro featuring IBM’s Bruno Aziza: Deep Blue, Deep Learning & The Future of AI

This discussion explores why widespread enterprise AI adoption is slow and shares strategies from companies like PepsiCo and NatWest. It suggests the future belongs to leaders capable of orchestrating AI agents at scale, rather than solely building them.

New Episode of Insight AI Featuring Doug Shannon: AGI on the Horizon

This episode breaks down the potential impact of Artificial General Intelligence (AGI) on knowledge workers and consultants. It covers common reactions to AI advancement, industry dynamics, and emphasizes the importance of identifying unique human value in the face of automation.

Understanding & Preparing for the 7 Levels of AI Agents by Douglas Laney

This framework outlines seven distinct levels of agentic AI based on computer science, psychology, and philosophy. Each level signifies a step-change in technology, capability, and autonomy, illustrating how organizations can leverage AI for innovation and transformation.

Glews Views: AI Transparency Moves Beyond Moratorium by Gregory Lewandowski

Following a legislative decision on an AI development moratorium, a targeted transparency framework for frontier AI companies has been announced. This framework focuses on the largest AI developers and establishes specific disclosure obligations regarding safety practices, indicating a shift in industry self-regulation approaches.

6 Must-Have Human-Centric Skills for the AI Age by Tim King

Despite the increasing importance of human-centered skills in the AI age, research indicates that most organizations are unprepared to develop them. A study of senior tech professionals reveals a disconnect between recognizing the vitality of these skills and implementing structures for their development.

The AI Era Soft Skills to Prioritize for Career Growth by William Jepma

Echoing other findings, a study of tech professionals reveals that while a high percentage of leaders agree on the increased criticality of soft skills in the AI era, most organizations lack the necessary infrastructure for training and development in this area.

Mini Jam Highlights: Has AI Completely Replaced Process Automation?

Industry experts debate whether traditional process automation (RPA) is obsolete compared to AI agents or if a hybrid approach is the future. Key points include the hidden costs of AI, focusing on business problems over use cases, and the potential shift from SaaS to 'Agent as a Service'.

Mini Jam Highlights: Best Cybersecurity Use Cases for AI Agents

Cybersecurity experts discuss effective AI agent applications in enterprise security, such as compliance automation, vulnerability management, and threat detection. They cover real-world examples and the crucial balance between AI autonomy and human oversight in security operations.

Mini Jam Highlights: Building and Deploying AI Agent Systems at Scale

AI and data experts delve into the technical architecture needed for scaling enterprise AI agent systems, including requirements for low-latency decision-making, vector databases, and real-time streaming. They highlight challenges like ensuring reliability, traceability, and scalability, emphasizing the role of human feedback and current limitations on full AI agent autonomy.

Mini Jam Highlights On-Demand: How AI Agents Will Transform Business Culture Forever

Experts explore the fundamental ways agentic AI is expected to reshape business culture, workforce dynamics, and professional roles. Discussions include the potential shift towards collaborative partnerships, the emergence of new AI-focused jobs, and the need for companies to adapt their culture as AI automates routine tasks.

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