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Vero AI Evaluates 10 Leading Generative AI Models Using Its Comprehensive VIOLET Framework to Gauge Responsible AI - insideBIGDATA
Vero AI, an analytical engine and scoreboard that helps enterprises fully harness the potential of advanced technology including artificial intelligence while minimizing risk, announced the findings of its inaugural “Generating Responsibility: Assessing AI Using AI” report.
Avoid these 7 Common Business-related Mistakes On Data Projects - insideBIGDATA
This article is excerpted from the book, “Winning with Data Science: A Handbook for Business Leaders,” by Howard Friedman and Akshay Swaminathan with permission from the publisher, Columbia Business School Publishing. The article covers how to avoid 7 common business-related mistakes on data projects that all stem from failures in planning, preparation and communication.
Why the Modern Data Stack is Broken and How to Fix It - insideBIGDATA
In this contributed article, Stavros Papadopoulos, Founder and CEO, TileDB, discusses how we are quickly reaching a threshold where the vulnerabilities of the modern data stack are starting to outweigh its advantages. Here’s what we need to do next.
Why Accelerating Data Engineering Across Public Clouds and Private Data Centers is a Game Changer - insideBIGDATA
In this contributed article, Rob Gibbon, Product Manager at Canonical, suggests that data engineers typically know what they need to get done. The problem is that their environment doesn't always make it easy. If you're working on premise, it can be hard to get data-intensive solutions off the ground quickly. However, cloud solutions come with lock-in and unpredictable pricing. The game-changer in this scenario is a hybrid solution that will allow you to accelerate data engineering.
Video Highlights: Deep Reinforcement Learning for Maximizing Profits — with Prof. Barrett Thomas - insideBIGDATA
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 - insideBIGDATA
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.
Avoid these 7 Common Business-related Mistakes On Data Projects - insideBIGDATA
This article is excerpted from the book, “Winning with Data Science: A Handbook for Business Leaders,” by Howard Friedman and Akshay Swaminathan with permission from the publisher, Columbia Business School Publishing. The article covers how to avoid 7 common business-related mistakes on data projects that all stem from failures in planning, preparation and communication.
Data Insights are Illuminating the Future of the Power Sector - insideBIGDATA
In this contributed article, David Thomason, Industry Principal – Power Generation at AVEVA, believes that the power sector has more data than ever on nearly every process in its value chain. Now, new technologies are helping make sense of all those details to provide competitive advantages – and it’s not a moment too soon.
Heard on the Street – 4/11/2024 - insideBIGDATA
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? - insideBIGDATA
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
Conversational Internet is Digitizing the Other Half of the World - insideBIGDATA
In this contributed article, Beerud Sheth, co-founder and CEO of Gupshup, discusses the future of Generative AI beyond ChatGPT. In this new era of Conversational Internet, the chatbot is the new website, and the messaging app the new browser
Bringing DAG and IGA Together for Improved Security and Compliance - insideBIGDATA
In this contributed article, Ronald Zierikzee, senior solutions consultant for Benelux, Omada, examines crucial tools that work in tandem to ensure that remote workers, employees and contractors are able to access the information they need – and only that information – in a secure and successful manner. Identity governance and administration (IGA) helps manage user identities and access across an enterprise, helping improve visibility into access privileges and helping to implement the necessary controls to prevent inappropriate or risky access. Data access governance (DAG) is the process of managing and controlling access to an organization’s data resources.
Opaque Systems Extends Confidential Computing to Augmented Language Model Implementations - insideBIGDATA
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 - insideBIGDATA
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 - insideBIGDATA
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 - insideBIGDATA
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 - insideBIGDATA
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 Solving the Big Data Problem Can Fix B2B Ecommerce - insideBIGDATA
In this contributed article, Jonathan Taylor, CTO of Zoovu, highlights how many B2B executives believe ecommerce is broken in their organizations due to data quality issues. To address these challenges, leaders should focus on three strategies: prioritize data hygiene, leverage zero-party data for personalized customer experiences, and apply AI cautiously to ensure the delivery of accurate and trustworthy product recommendations.
Counteracting Financial Crimes with Generative Models - insideBIGDATA
In this contributed article, editorial consultant Jelani Harper discusses generative models, synthetic data, and combating financial crimes. Generative models are gradually reshaping the nature of financial crimes. They can help and hinder both investigators and the fraudsters perpetuating criminal activity.
Cloud Migration Alone Won’t Solve Data Quality. Here’s Why CDOs Need a More Holistic Approach - insideBIGDATA
In this contributed article, Emmet Townsend, VP of Engineering at Inrupt, discusses how cloud migration is just one step to achieving comprehensive data quality programs, not the entire strategy.
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