AiThority’s Weekly AI Update For the Week Ending October11th: What’s New In AI

Welcome to this week’s AiThority’s roundup! We’re excited to share the latest AI and technology breakthroughs.

This week, we explore everything from the deployment of AI infrastructure to exciting advancements in purpose-built  Artificial Intelligence. Additionally, read more about the integration of AI and cloud computing, as well as how Large Language Models  are shaping product development.

Explore the frontiers of AI technology, one headline at a time.

1.SAP Supercharges Copilot Joule with Collaborative Capabilities to Ignite Enterprise AI Revolution

At TechEd 2024, SAP SE revealed new AI innovations, centered on its copilot Joule, to transform business operations. These updates include collaborative AI agents, the SAP Knowledge Graph to enhance data-driven decisions, and new tools to accelerate Business AI development. SAP also introduced features for developers to streamline workflows and reduce coding time, while expanding its educational offerings to help bridge the global digital skills gap.

2. ADLINK and SimProBot Launch Tallgeese AI On-Premise Workstation to Enhance Enterprise Productivity with Gen AI

ADLINK Technology, and SimProBot have partnered to create an on-premise AI workstation for enterprises. This solution combines ADLINK’s AI GPU servers with SimProBot’s Tallgeese AI software, offering secure, efficient AI capabilities tailored for internal enterprise use. The system enhances productivity, automates tasks, and integrates with business processes while safeguarding company data. It also allows customization and scalability, making it ideal for enterprises of various sizes. This collaboration aims to accelerate digital transformation and optimize operations through advanced AI solutions.

3. Deloitte: AI Slow to Gain Prominence in the Boardroom

Despite growing AI investment, many boards are not prioritizing it. A Deloitte survey revealed that 45% of boards don’t include AI in their agendas, and 79% of board members lack significant AI knowledge. Only 2% are highly knowledgeable. Many respondents are concerned about the l*********** spent on AI, with 44% calling for faster adoption. Boards are urged to improve AI governance, address risks, and invest in upskilling to better understand AI’s opportunities and challenges. Engaging external specialists and focusing on AI literacy will help organizations stay competitive and manage risks effectively.

4. Astera Labs Introduces New Portfolio of Fabric Switches Purpose-Built for AI Infrastructure at Cloud-Scale

Astera Labs, has introduced the Scorpio Smart Fabric Switch portfolio, featuring the industry’s first PCIe 6 switch, designed for AI workloads in cloud-scale platforms. The Scorpio P-Series supports PCIe 6 connectivity for mixed traffic, while the X-Series focuses on high GPU-to-GPU bandwidth for AI clusters. These switches ensure maximum system utilization, uptime, and energy efficiency. They also integrate with Astera Labs’ COSMOS software for enhanced data center management and security. Already in pre-production, Scorpio aims to streamline AI platform deployments with top-tier GPUs, offering reliable, high-performance connectivity.

5. Teradata to Bring World-Class AI Capabilities to Large Enterprises and Hybrid Environments in Collaboration with NVIDIA

 Teradata is partnering with NVIDIA to integrate NVIDIA NeMo and NIM microservices into its Vantage platform, accelerating AI workloads and supporting large language models (LLMs) and generative AI applications. This collaboration provides Teradata customers with access to NVIDIA AI’s accelerated computing infrastructure, enabling faster inferencing, model fine-tuning, and retrieval-augmented generation (RAG) applications. Initially available on AWS in November 2024, the integration will expand to include broader AI capabilities throughout 2025, allowing enterprises to leverage NVIDIA’s AI technology for advanced, customized solutions.

6. Cloudera Launches AI Inference Service with NVIDIA NIM for Faster GenAI Development

Cloudera,is AI Inference service boosts large language model (LLM) performance by 36x using NVIDIA’s accelerated computing and NIM microservices. It combines Cloudera’s trusted data platform with NVIDIA’s AI Enterprise software to deliver secure, high-performance AI applications. This integration helps businesses securely run AI models on-premises or in the cloud, protecting data and ensuring scalability. By optimizing AI-driven tools like chatbots and virtual assistants, Cloudera empowers enterprises to move from AI pilot projects to full production, improving productivity and fostering innovation with secure, well-governed data.

7. Alation Unveils AI Governance Solution to Power Safe and Reliable AI for Enterprises

Alation Inc has launched its AI Governance solution to help organizations manage data and AI initiatives securely and compliantly. The platform offers features like AI model documentation, data lineage, and compliance checks, enabling organizations to streamline AI model development and ensure regulatory compliance. It allows teams to track AI models from development to deployment, reducing risks and maintaining transparency. Alation helps enterprises accelerate AI adoption, manage data quality, and safeguard data integrity, supporting the scalable and ethical use of AI to drive business impact.

Weekly Expert Perspectives on Emerging AI Trends

AIThority Interview with Vikas Gupta, EVP & GM at HARMAN Digital Transformation Solutions

Dive In!

Vikas Gupta, EVP & GM at HARMAN Digital Transformation Solutions, shares insights on AI trends and how they’re shaping digital transformation. With over 30 years of experience, he has led growth and innovation across multiple companies, focusing on digital and analytics. At HARMAN, AI and analytics are used to drive transformation, including projects like AI-driven partnerships and IoT platforms. Recent innovations like ForecastGPT and Cloud FinOps help businesses optimize operations. Gupta also highlights the importance of strategic partnerships to deliver impactful solutions, emphasizing AI’s growing role in reshaping both consumer and enterprise sectors.

Must-Reads on AI 

Using Generative AI for Decision Intelligence With Pyramid Analytics

Article Brief:

About ten years ago, “self-service business intelligence” (SSBI) aimed to make data analysis easier for non-technical users but ultimately fell short. Users still needed help from data experts to set up their exploration environments. Now, generative AI tools, known as “GenBI,” offer a new way to access insights through conversational interfaces. Avi Perez from Pyramid Analytics explains that these tools can understand user questions and retrieve relevant data, ensuring reliable insights while maintaining data security. GenBI’s flexibility allows users to switch between specialized models tailored for different fields, making decision intelligence more integrated and accessible in everyday software applications.

Needed Now: AI and Automation Superstars

A decade ago, the global robotic process automation (RPA) market was valued at about $250 million. By 2023, it surged to $5.63 billion due to advancements in location-based services and intelligent automation (IA). This growth has made automation crucial for business development, enhancing customer journeys and reducing costs. Intelligent automation developers are now more business-oriented than technical, requiring skills in process analysis and a basic understanding of technology. Future roles will focus on identifying automation opportunities and may evolve into automation architects. As automation tools advance, the developer role will change but remain vital in improving efficiencies and streamlining workflows.

The Role of AI in Protecting Consumers and Businesses From Modern Fraud

Artificial Intelligence (AI) is crucial for businesses facing modern fraud challenges, as criminals increasingly use AI-generated deepfakes to bypass traditional security. IDScan’s VeriScan platform identified over 1 million fake IDs last year, highlighting the need for advanced defenses. AI strengthens identity verification through biometric analysis and software that analyzes IDs at a pixel level. These tools improve accuracy, reduce human error, and enhance customer experience. By adopting AI technologies, businesses can better protect themselves and their customers from fraud while ensuring secure and efficient transactions, which ultimately boosts consumer trust and reduces operational costs.

This Week’s Best AI Quote

“AI will undoubtedly continue to reshape and drive significant changes across industries. The next decade will likely see AI becoming an indispensable tool for enhancing efficiency, personalization, and innovation, while also presenting new challenges and opportunities related to ethics, privacy, and workforce dynamics.”- Vikas Gupta, EVP & GM at HARMAN Digital Transformation Solutions

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

This Week’s Must-Listen AI Podcast – AI Inspired Series

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A chat with Sarah Wieskus, Intel’s GM Commercial Client Sales

Sarah talks about the innovative features of Intel’s Core Ultra processor range and why most modern enterprise IT teams choose Intel to power their IT device fleet.

Listen Now: AI Inspired Series by AiThority.com: Featuring Sarah Wieskus, Intel’s GM Commercial Client Sales