Date: October 8, 2024 Press Release: San Diego, CA – UC San Diego’s Rady School of Management is proud to announce that Rohan Sharma, CEO of Zenolabs.AI and a recognized leader in AI and business strategy, has been appointed as a mentor for the institution’s entrepreneurial programs. With extensive experience in leading AI-driven companies, including […]

AI is no longer just a tool for efficiency—it’s a game-changer that has the potential to transform business models entirely. Companies around the world are recognizing the power of AI to not only reduce operational costs but also to turn traditionally static cost centers into dynamic revenue-generating engines. As an AI expert and member of

Inclusive policies are more critical than ever. These policies ensure that everyone, regardless of their background, has equal access to opportunities, resources, and services. As an Inclusive Policy Expert at UNESCO’s Inclusive Policy Lab and Zenolabs.AI, I, Rohan Sharma, have dedicated my career to advancing social impact through the development and implementation of inclusive policies.

The AI chip and accelerator market is experiencing intense competition as companies race to develop faster, more efficient hardware for AI workloads. Here’s a comparison of the major players: Market Leaders Innovative Startups : Several startups are making waves with unique approaches to AI acceleration: Key Differentiators Market Dynamics: The AI chip market is expected to

In a world inundated with 300 million Google results for “authentic leadership,” one recent TED Talk cuts through the noise, distilling this nebulous concept into two fundamental principles. These insights don’t just redefine leadership — they revolutionize it. Whether you’re a Fortune 500 CEO or a first-time parent, these principles will transform how you lead and live.

Are you looking to secure budgets for AI initiatives and scale your AI programs from pilot to production? Do you aim to get your data stack in order to facilitate this scaling effectively? Are you concerned about ensuring that AI deployments do not compromise your security posture? I have consistently stated throughout the last year,

Episode 1: Understanding Large Language Models (LLMs) At their core, LLMs consist of two essential components in a hypothetical directory: -A parameter file, which is essentially a neural network functioning as a language model. -An executable code that operates the model; this could be written in Python or C for runtime execution. These neural networks