The latest collaboration between Elastic and Google Cloud marks a pivotal development in the world of artificial intelligence and data analytics, setting a new standard for capabilities available to developers and security professionals. Elastic, renowned for its innovations in search and data analytics, has taken a significant step forward by integrating Google Cloud’s Vertex AI into its Elastic Attack Discovery
Artificial intelligence (AI) has become a cornerstone of modern technological advancement, propelling innovations in numerous sectors. Yet, as AI systems, particularly large language models like GPT-3, proliferate, they exert significant pressure on environmental resources, notably water. Recent research underscores that the water consumption of AI data centers is far greater than previously assumed. This revelation calls for urgent sustainable strategies
In today’s digital age, the choice between Flash Storage and Traditional Storage is pivotal for organizations eyeing performance, efficiency, and cost-effectiveness. Both forms of storage play crucial roles in data management, yet their operational characteristics and benefits can significantly diverge. Let’s explore how these storage solutions compare and contrast. Performance Speed and Latency Flash Storage is renowned for its superior
SAP, the enterprise software giant, is making significant strides to remain relevant in a tech landscape increasingly driven by artificial intelligence (AI) and cloud computing. With recent announcements focusing on expanding their generative AI copilot, Joule, and pushing for cloud-based solutions, SAP is setting the stage for modernizing business processes for its global clientele. Expansion of Joule’s Capabilities Transforming Business
The rapid growth of data consumption and digital services has placed immense pressure on data center infrastructure. Traditional data centers, while critical to our digital economy, often occupy prime land and heavily rely on energy-intensive cooling systems. Shifting towards eco-friendly solutions, the data center industry is exploring innovative technologies like floating data centers. Recent developments indicate that these floating facilities
The enterprise resource planning (ERP) software landscape has seen notable advancements over the last few decades, and one of the significant evolutions in this domain is Microsoft’s transition from Dynamics NAV to Dynamics 365 Business Central. This remarkable shift addresses the growing demand for scalable, accessible, and modern cloud-based ERP systems. Microsoft’s launch of Business Central in 2018 aimed to
The construction industry is fraught with complex challenges that can derail projects, leading to inefficiencies and financial losses. With sprawling project sites, numerous stakeholders, and stringent regulations, effective project management becomes paramount. This is where enterprise resource planning (ERP) systems like Microsoft Dynamics ERP can play a transformative role. In this article, we explore how Dynamics ERP, particularly Dynamics 365,
Selecting the right Enterprise Resource Planning (ERP) system can be a game changer for Small to Medium-sized Enterprises (SMEs), potentially transforming how they manage key business functions such as finance, HR, project management, and supply chain operations. With the rapid pace of technological advancements, ERP solutions have evolved to be more versatile, integrated, and cloud-based, offering scalability and flexibility to
Oracle recently announced significant advancements in Artificial Intelligence (AI) technology within its Oracle Fusion Cloud Service and Oracle Fusion Cloud Field Service platforms. The developments center around integrating AI to improve the efficiency and effectiveness of customer service operations. Authored by Duncan MacRae, this article explores Oracle’s initiatives to enhance customer service through AI. AI-Powered Service Enhancements Automating and Streamlining
In a significant leap for enterprise-level AI infrastructure, Cloudera has introduced Cloudera AI Inference, a cutting-edge AI inference service powered by NVIDIA NIM microservices, which aims to revolutionize the performance, security, and scalability of Large Language Models (LLMs). The integration of NVIDIA’s advanced computing capabilities into Cloudera AI Inference results in a remarkable 36-fold acceleration in LLMs’ operation, substantially enhancing
Venafi’s recent enhancements to its Machine Identity Control Plane are a direct response to the growing complexities of multi-cloud environments and the approaching era of quantum computing. In an effort to streamline operations, Venafi has introduced native support for cloud-to-cloud connectivity with leading providers like AWS, Azure, and GCP. This integration aims to alleviate the intricacies and expenses associated with
The latest Tenable Cloud Risk Report for 2024 has uncovered critical vulnerabilities and security gaps that are prevalent within global cloud environments, posing significant risks to businesses worldwide. This comprehensive report analyzes data from billions of cloud resources across the first half of 2024, shedding light on the pressing security issues that organizations must address to safeguard their cloud infrastructures
