Heard on the Street – 4/18/2024

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

Video Highlights: Deep Reinforcement Learning for Maximizing Profits — with Prof. Barrett Thomas

In this video presentation, our good friend Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, is joined by Dr. Barrett Thomas, an esteemed Research Professor in at the University of Iowa’s College of Business, to delve deep into Markov decision processes and how they relate to Deep Reinforcement Learning.

The Power of Data Visualization: Techniques and Best Practices

In this contributed article, freelance writer Ainsley Lawrence discusses how data visualization is a powerful tool that can help viewers quickly analyze and assess the status or results of an analysis. Good visualization can make even the largest and most complex datasets relatively straightforward to interpret.

Heard on the Street – 4/11/2024

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

How Can Companies Protect their Data from Misuse by LLMs? 

In this contributed article, Jan Chorowski, CTO at AI-firm Pathway, highlights why LLM safety begins at the model build and input stage, rather than the output stage – and what this means in practice; how LLM models can be engineered with safety at the forefront, and the role that a structured LLM Ops model plays; and the role of data chosen to train models, and how businesses can appropriately select the right data to feed into LLMs

Opaque Systems Extends Confidential Computing to Augmented Language Model Implementations 

In this contributed article, editorial consultant Jelani Harper discusses how Opaque Systems recently unveiled Opaque Gateway, a software offering that broadens the utility of confidential computing to include augmented prompt applications of language models. One of the chief use cases of the gateway technology is to protect the data privacy, data sovereignty, and data security of organizations’ data that frequently augments language model prompts with enterprise data sources.

Video Highlights: Gradient Boosting: XGBoost, LightGBM and CatBoost — with Kirill Eremenko

In this video presentation, our good friend Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, is joined by Kirill Eremenko to walk listeners through why decision trees and random forests are fruitful for businesses, and he offers hands-on walkthroughs for the three leading gradient-boosting algorithms today: XGBoost, LightGBM, and CatBoost.

How Can AI-Powered Predictive Maintenance Boost Business Efficiency

In this contributed article, April Miller, senior IT and cybersecurity writer for ReHack Magazine, shows that when AI steps into predictive maintenance, it supercharges this capability. It offers more profound insights, accurate predictions and the ability to act swiftly. This blend of technology enhances operational efficiency and paves the way for a deeper exploration into how such innovations can transform the business landscape.

Evolution of AI in Software Development: Shifting from Co-pilot to an Autopilot

In this contributed article, Janne Saarela, a Strategy Analyst at JFrog, highlights parallels between autonomous driving and software development, showcasing a shared evolution towards reduced human involvement through automation.

Heard on the Street – 4/4/2024

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.