Beehive AI

Sharing the key components and factors of AI infrastructure. Also, look for a Build vs Buy guide from Beehive AI - coming soon! 1. Performance and speed: High-performance AI infrastructure uses GPUs or TPUs for parallel processing, enabling faster handling of large datasets, quicker model training, and more efficient inference. 2. Scalability: Robust AI infrastructure adapts to growing data volumes and complex models, ensuring future demands are met without sacrificing performance or reliability. 3. Collaboration and reproducibility: AI infrastructure enables teamwork with standardized environments for sharing and reproducing work. MLOps tools streamline project management, boosting productivity and speeding time-to-market. 4. Security and compliance: A strong AI infrastructure safeguards data privacy, meets regulatory standards, and reduces legal and reputational risks. Image source: Proserveit

Friday fun poll! Share additional thoughts in comments! ?? ?? ??

Many people are trying to implement AI solutions on top of doing their day jobs. That's tough and may be one reason for the graph from Section. Beehive AI can provide you with a production bespoke LLM on day one with no resources on your end. Book a meeting with us: https://lnkd.in/gQSUfwuA

"LLMs need to be wrapped with stuff" - paraphrasing a speaker at AI ROI Conference. We agree! If you try to use ChatGPT to analyze customer data at scale, it'll fail. The LLM needs guardrails and a RAG at bare minimum.

?????? It's now easier to analyze multiple datasets in one dashboard! We’re excited to announce that you can now upload multiple datasets into an existing or new dashboard. You can also unite data from different sources, like Facebook, Twitter, and customer reviews, into one dashboard.

Here's an interesting graph that Gregory Shove shared at the AI: ROI Conference. It's from a Deloitte study on status of AI pilots. With Beehive AI, you can be up and running in one day. That lets you test immediately and determine whether it's the right platform for your customer data. You can sign up here. https://lnkd.in/e2gfQxVj

ROI is an important element for sustained adoption of AI. For Leaders, those that adopt AI earlier than others, ROI comes in the form of revenue growth. See below from IBM's AI in Action report.

As CEOs implement an AI strategy, their concerns are shifting as elements arise during implementation. It's a sign that their seeing AI as a must have versus a nice to have. Source: IBM Institute for Business Value, CEO Study

Are you a data value creator as a Chief Data Officer? CDOs that are data value creators are investing in AI and ML at a higher rate. Beehive AI is an easy way for you to start creating value from your data with genAI. You can be up and running in a day. Source: IBM The CDO Study 2024

An incredible helpful view into the life of Chief Data Officers in companies and ways they are using AI. The data from IBM Institute for Business Value delineates what they call 'Data Value Creators' from others.