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Enterprise

A collection of 15 issues

threatER Recognized in Inc. 5000 Fastest Growing Companies for 2024

There are about 25 million private companies in the U.S. and only 4000 public companies. Getting on Inc. 5000 Fastest Growing Companies list is not an easy feat. I am proud to share that threatER was named on this year's prestigious list. Effectively, threatER blocks and allows

Observations from Google I/O 2024

I had the opportunity to join Google I/O earlier this week. To me, the macro theme was applications. How do we apply generative AI to our work and our day-to-day lives? In my view, for the first time, without any reservation, Google showed us the future of those who

AI Computing - Meta's MTIA

Busy week in the world of data and AI. Today, Meta announced the company's new generation of Meta AI chips called MTIA - tuned for training and inference of data workloads for ranking and recommendation. https://ai.meta.com/blog/next-generation-meta-training-inference-accelerator-AI-MTIA/ A few observations: * Continued separation of training,

Future of Robotics

WSJ published an article today on robotics and highlighted use cases in warehouses, meat packing, and other industrial settings. It's worth a read. https://www.wsj.com/business/meet-the-robots-slicing-your-barbecue-ribs-338a7794?mod=hp_lead_pos7 Robotics has come a long way in a relatively short period of time considering the

Nvidia GTC 2024 - Major Themes

In the first 30 minutes of Jensen Huang's keynote at GTC 2024, Jensen outlined the current fundamental concepts and innovations of high performance compute for AI. Must watch for any technologist and anyone who is interested to understand what is happening in AI. In addition to the launch

Cybersecurity Stack Report - 2023

Portfolio company Threater released its annual Security Stack Insights Report. The report is based on a survey of 200+ cybersecurity professionals (C-level to managers). Unlike many cybersecurity reports that emphasize on the nature of the cybersecurity vectors and remediations for enterprises, this report emphasizes on how cybersecurity professionals in small

Evaluating Gen AI Applications - Part I

When I worked in mergers & acquisitions way back, one of the things to do was generating project code names to help preserve the confidentiality of these highly sensitive projects. I remember that we have gone through all kinds of names, drawing inspiration from mountains, park names, bird names, car

Building a cyber defense fortress

Cyber attacks are getting out of hand, and every organization is vulnerable. Just looking at recent news: Clorox had to take certain operations offline due to cyber attack (Reuters) Discord went offline because over 700K user information were stolen (link) Prince George's County public school system was hacked

Generative AI x Knowledge Graphs

Data wrangling tasks include data acquisition, data ingestion, data extraction, data cleaning, data transformation, exploratory data analysis, and data pipelining for ML tasks. Data variety, dimensionality, complexity, duplication, provenance can further complicate this data wrangling process.

Bigger is not better in machine learning

I heard an interview today featuring the Chief Scientist of Mosaic ML. One of the things Jonathan Frankle said is that bigger is not better. He, of course, is talking about machine model size (e.g., number of parameters). I posit that we can agree that bigger models may not