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- The Generative Enterprise #3
The Generative Enterprise #3
AI-driven enterprises utilizing agents and data, scaling AI in different industries, updates from Microsoft, OpenAI and NVIDIA.
In today’s issue, we’ll cover how enterprises are becoming AI-driven, how leaders and different industries are scaling AI, as well as updates and releases from Microsoft, Apple, Open AI, Google and NVIDIA. We hope you enjoy it! (If this was forwarded to you, you can always sign up directly here.)
AI in action for enterprise solutions
CB Insights reported that healthcare officials, big tech and startup companies are using AI to address burnout in clinical workflows, read about “The $4.6B opportunity in healthcare: Ambient AI to target clinician burnout”.
AI is taking on a larger role in customer experience and companies are now less focused on making it more efficient, but rather, have humane interactions. Read, “Human vs. humane: How companies pursue AI for enhanced CX”.
Our POV: There are opportunities in every vertical and every function to employ generative AI.
The continuing rise of enterprise AI Agents
CB insights Commercial Maturity Data shows that Enterprise AI agents are on the cusp of broad commercialization and AI agent startups are primed to scale.
Companies looking to build their own AI agents are advised to not do it alone. Instead, they are encouraged to seek out partnerships and keep human supervision in the loop.
Our POV: Agents are already being deployed in the enterprise. The key is to identify use cases and get testing, along with partners who have the skills to design, build, and manage them.
Data is the backbone of GenAI success
McKinsey stated that Chief-Data Officers are making data the foundation of successful gen AI deployment and scaling. Read, “Data leader's operating guide to scaling gen AI”.
McKinsey lays out a framework for developing an AI-and data-driven organization here: “Charting a path to the data- and AI-driven enterprise of 2030”.
Our POV: Data has always been critical to modern-day enterprise transformation. Interestingly, in many GenAI cases it’s possible (and preferred) to use LESS data of a higher quality in order to gain rapid value. It’s not necessary to “solve all your data issues” before building solutions.
Microsoft-specific updates
Microsoft launched the next wave of Copilot for Microsoft 365, which introduces Copilot Agents, Copilot Pages and rapid improvement in Copilot within the Microsoft 365 apps.
Copilot Pages is a canvas that is an interactive, dynamic workspace within Copilot chat created for teamwork among multiple users.
Copilot Agents allow you to improve Copilot's functions by linking it with your company's information and databases. There is even an agent builder within Copilot Studio.
New releases, updates and use cases
Open AI launched, “o1”, a model for complex reasoning tasks.
NVIDIA released the Llama-3.1-Nemotron-51B, an upgraded LLM.
Meta released Llama 3.2, an open AI model that can process images.
Google is rolling out Gemini Live to free users on Android.
Google AI released two production-ready updated models: Gemini 1.5-Pro-002 and Gemini-1.5-Flash-002.
Adobe announces new AI tool for easy video creation coming before the end of 2024.
YouTube is launching new tools to combat AI-generated content misuse and provide video creators with more control.