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Techaisle Blog

Insightful research, flexible data, and deep analysis by a global SMB IT Market Research and Industry Analyst organization dedicated to tracking the Future of SMBs and Channels.

AI Beyond Boundaries - Google's Approach to Generative AI

Google, a trailblazer in Artificial Intelligence (AI), has made significant strides since the introduction of Transformers in 2017. These neural network architectures have revolutionized natural language processing and AI. Google’s dedication to making AI accessible and valuable for all is evident in its development of an infrastructure designed to manage vast data quantities while maintaining stringent data security.

Google’s innovations span Vertex AI, Duet AI, Google Cloud Infrastructure, and the AI Ecosystem. These components are intricately woven into its cloud services and workspace tools. Google acknowledges the necessity of staying abreast of current trends through innovation and the imperative of protecting AI models and data from potential threats.

Furthermore, Google emphasizes the value of partnering with service providers experienced in AI to help businesses maximize the benefits of AI products. Through these technological advancements and collaborative initiatives, Google aims to contribute significantly, especially to clients who may lack easy access to machine learning specialists.

Vertex AI: Google Cloud’s Platform for Generative AI Applications. How Google Cloud’s Vertex AI Enhances Gen AI Capabilities for Businesses

Google Cloud’s Vertex AI, a platform designed to assist developers in creating applications using Generative AI (Gen AI) models, offers new services such as Enterprise Search and Conversations. Since its launch in 2021, Vertex AI has been instrumental in managing the complete lifecycle of AI models, from discovery, training, tuning, and testing to evaluation, control, and deployment. Google Cloud Next 2023 announced significant enhancements to Vertex AI, focusing on how Gen AI capabilities can augment Vertex AI for businesses.

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Dell GenAI: From Vision to Reality - Unlocking the Transformative Potential of Generative AI

The Dell Generative AI Portfolio exemplifies the company’s dedication to unlocking the transformative power of GenAI. With various innovative solutions, such as the Dell Validated Design in collaboration with NVIDIA for Model Customization and an open data lakehouse solution, Dell is equipping businesses with the tools they need to tackle the challenges of GenAI deployment. The Precision 7875 Tower workstation hardware launch and Dell APEX Cloud Platform for Red Hat OpenShift further highlight Dell’s comprehensive strategy. These developments not only streamline on-premises container management but also enable businesses to harness the capabilities of GenAI fully. Looking ahead, Dell’s ongoing efforts are poised to significantly influence a future where AI is integral to data-driven decision-making, creativity, and problem-solving, transforming the business landscape.

In January 2023, Dell acquired Cloudify, an open-source DevOps automation technology provider. Cloudify’s platform leverages AI to assist companies in automating their IT infrastructure and applications. Later, in August 2023, Dell acquired Moogsoft, an AI-driven IT operations analytics (AIOps) platform. Moogsoft’s platform employs AI to enable companies to identify and resolve IT issues more quickly and efficiently. These acquisitions of Moogsoft and Cloudify underscore Dell’s commitment to investing in AI and providing its customers with a broader array of AI solutions. Furthermore, Dell has formed partnerships with several others, including NVIDIA and Intel. These partnerships grant Dell access to the latest AI hardware and software, which it can utilize to develop and offer new AI solutions to its customers.

Periodically, groundbreaking technologies emerge that revolutionize our world. A few decades ago, personal computers (PCs) were the game-changers, enhancing efficiency and reshaping human experiences. This was followed by the iPhone in 2007. Today, GenAI is the technology in focus, showcasing its potential to transform business data interactions, customer engagement, and infrastructure management. However, to fully leverage this potential, it’s essential to have robust data foundations, well-structured infrastructures, and a comprehensive range of supporting services.

Dell’s portfolio is centered around providing supporting infrastructure products and services. With a broad range of GenAI solutions, Dell empowers businesses to run GenAI workloads across various platforms, including cloud environments, on-premises setups, and edge computing. The company has recently broadened its GenAI solutions portfolio by introducing Dell Validated Design in collaboration with NVIDIA for Model Customization. This includes professional services for strategy development and an open, modern data lakehouse solution. These solutions and services are designed to help businesses transform their workflows and processes throughout their GenAI journey. From data processing and model customization to strategic planning, Dell’s offerings are tailored to streamline operations for a more efficient and effective GenAI implementation.

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Tailoring AI to Business Needs: Dell’s Validated Designs for GenAI with NVIDIA for Customizable Inferencing and Model Training

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Techaisle survey shows The Rise of Generative-AI in SMBs and Midmarket Firms

According to recent survey data from Techaisle, the use of Generative-AI is rapidly increasing within SMBs and midmarket firms. The survey found that AI has become a priority for 53% of small businesses, up from 41% in April 2023. Among core-midmarket firms, 87% prioritize AI, up from 75% in April 2023. Similarly, 89% of upper-midmarket firms prioritize AI, compared to 87% in April 2023. Overall, 60% of SMBs and 84% of midmarket firms are either using or planning to use Generative-AI within the next six months.

The survey also found that between 40% and 45% of midmarket firms have developers and architects specializing in AI/ML, DevOps, hybrid cloud, and app modernization. Additionally, between 35% and 45% of these firms plan to increase their investments in Edge computing, Containers, Open-source technologies, app development, and analytics. Most notably, 72% of midmarket firms are increasing their in-house hiring for Generative-AI.

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