Aroosh Thillainathan’s Post

“What excites about the promise of AI is its limitless possibilities. Yet, even as the supply of hardware improves, the scarcity of the necessary infrastructure to house it will limit progress.”   Northern Data Group CEO, Aroosh Thillainathan, writes in Fortune about how the AI industry is at risk of a false start which could set it back years, as companies rush to buy up AI chips without the infrastructure to house them.   Read the full piece here: https://lnkd.in/dzvbn3QW   #NorthernDataGroup #InnovationBravery #AI #DataCenters

The Visible Alpha AI Monitor: Measuring AI Growth and Its Impact The Visible Alpha AI Monitor aggregates publicly-traded U.S. technology companies, providing a comprehensive measure of the current state and projected growth of the core AI industry. This encompasses the AI-exposed revenues for companies that are building AI infrastructure and capabilities for both enterprises and consumers. Investors may use the Visible Alpha AI Monitor to generate new ideas to capture growth emanating from the core AI industry, as well as to evaluate the potential AI exposure of technology stocks in their existing portfolios. Learn more about our AI Monitor today: https://hubs.li/Q02dcSQV0 #VisibleAlphaInsights #AIindustry #AIMonitor

Measuring AI Growth and Its Impact The Visible Alpha AI Monitor aggregates publicly-traded U.S. technology companies, providing a comprehensive measure of the current state and projected growth of the core AI industry. This encompasses the AI-exposed revenues for companies that are building AI infrastructure and capabilities for both enterprises and consumers. Investors may use the Visible Alpha AI Monitor to generate new ideas to capture growth emanating from the core AI industry, as well as to evaluate the potential AI exposure of technology stocks in their existing portfolios. Learn more about our AI Monitor today: https://hubs.li/Q02dcSQV0 #VisibleAlphaInsights #AI #Tech

Unlocking Transparency: Generative AI Observability Generative AI has revolutionized numerous industries, from art to science, with its innovative capabilities. However, as these models grow in complexity and scale, ensuring their reliability, efficiency, and security becomes increasingly challenging. Observability is the solution to this problem, providing real-time insights into system performance and behavior. Observability in generative AI refers to the ability to monitor, track, and analyze the internal workings of AI models and their interactions with the underlying infrastructure. It encompasses the entire AI lifecycle, from data ingestion and model training to deployment and inference. Observability provides a comprehensive understanding of system behavior, enabling data scientists, engineers, and operators to identify bottlenecks, optimize performance, and ensure reliability. However, generative AI observability comes with its own set of challenges. Complexity, scalability, distributed systems, and data privacy and security are some of the major ones. To implement observability in generative AI, organizations can leverage strategies like monitoring and logging, distributed tracing, real-time analytics, model explainability, and infrastructure automation. By embracing observability best practices, organizations can unlock transparency into their AI infrastructure, driving innovation and growth. #GenerativeAI #Observability #Transparency #Challenges #Efficiency #AI #cloud

As the digital revolution accelerates, #AI is becoming increasingly pervasive and the demand for efficient edge processing is growing exponentially. Modular data centers offer a promising solution, combining scalability, adaptability, and rapid deployment. But what truly excites me is their potential to revolutionize AI at the edge. This blog by Joe Kramer explores the transformative power of modular data centers in the realm of AI, while contributing to a more sustainable digital world. https://lnkd.in/gnkxxbvx #EdgeComputing #ModularDataCenters #Sustainability #SchneiderElectric #LifeIsOn #ChooseModular

An interesting article on Return on Investment on AI ( ROAI). If you are interested to explore more with AWS AI-ML, GenAI initiative,connect with CloudThat.

Generative AI presents a massive market opportunity with a projected CAGR of 17.9% and expected revenue of $2.6 billion over the next ten years, indicating we are in the early stages of its implementation. As #GenAI use cases grow, there will be a cascading effect on adoption rates across industries, particularly influencing security measures. The key aspect to focus on is how different elements of security interconnect by design, driving impactful outcomes from AI advancements. 🎥 Tune in as Truth in IT moderator Mike Matcha chats with Neil Thacker, Netskope CISO EMEA, and Vinit Anshuman, Amazon Web Services (AWS) Global Business Leader, about mastering Generative AI's market potential and implications. https://lnkd.in/gAWMtZcR

Generative AI presents a massive market opportunity with a projected CAGR of 17.9% and expected revenue of $2.6 billion over the next ten years, indicating we are in the early stages of its implementation. As #GenAI use cases grow, there will be a cascading effect on adoption rates across industries, particularly influencing security measures. The key aspect to focus on is how different elements of security interconnect by design, driving impactful outcomes from AI advancements. 🎥 Tune in as Truth in IT moderator Mike Matchett chats with Neil Thacker, Netskope CISO EMEA, and Vineet Anshuman, Amazon Web Services (AWS) Global Business Leader, about mastering Generative AI's market potential and implications. https://lnkd.in/gAWMtZcR

Generative AI presents a massive market opportunity with a projected CAGR of 17.9% and expected revenue of $2.6 billion over the next ten years, indicating we are in the early stages of its implementation. As generative AI use cases grow, there will be a cascading effect on adoption rates across industries, particularly influencing security measures. The key aspect to focus on is how different elements of security interconnect by design, driving impactful outcomes from AI advancements. Watch the full webinar to hear industry leaders from Netskope and Amazon Web Services (AWS) discuss mastering Generative AI's market potential and implications.

Generative AI presents a massive market opportunity with a projected CAGR of 17.9% and expected revenue of $2.6 billion over the next ten years, indicating we are in the early stages of its implementation. As generative AI use cases grow, there will be a cascading effect on adoption rates across industries, particularly influencing security measures. The key aspect to focus on is how different elements of security interconnect by design, driving impactful outcomes from AI advancements. Watch the full webinar to hear industry leaders from Netskope and Amazon Web Services (AWS) discuss mastering Generative AI's market potential and implications. Ben Shelston Oomesh Patel Eric Chan Lino Lucciantonio Danko Causevic Paul Tanasi George Rigas Hashim H David Cooper Frank Salvatore Eduardo Torreblanca Jeffrey Morris Akshay Kashyapa Justin Malczewski Clayton Sopel Khadijah Othman Gabe Grzybowski Ryan Kelly Christine Overweel