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.

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.

When Algorithms Wander: The Impact of AI Model Drift on Customer Experience

In this contributed article, Christoph Bӧrner, Senior Director of Digital at Cyara, discusses the risks and dangers of AI model drift on CX and how organizations can navigate the balance between leveraging AI advancements and maintaining exceptional CX standards.

Video Highlights: The Best AI Startup Opportunities — with Venture Capitalist Rudina Seseri

In this video presentation, our good friend Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, sits down with Rudina Seseri from Glasswing Ventures to answer the question: “What has Glasswing Ventures done for the company beyond capital investment?” Rudina describes how her company uses data to assess venture capital investments, the secret sauce of successful AI startups, and why she feels generative AI is only the start of a much broader impact that AI will make in communities and businesses.

The Synergy of AI and Cloud Transformation in the Payment Sector: Advancing Security, Scalability, and Innovation

In this contributed article, technical leader Kamala Manju Kesavan discusses how AI and cloud computing research in the payment industry sheds light on a prosperous arena of inventions and transformation. In the near future, the payment sector will probably welcome advanced technologies such as blockchain, biometric authentication, and AI-powered solutions, which will lead to transactions that will be more secure, rapid, and user-friendly.

Embracing Composable Cloud is Key to Operationalizing AI

In this contributed article, Kevin Cochrane, Chief Marketing Officer, Vultr, believes that the winners in the race to operationalize AI will be the companies that can trace their success to the composable cloud and its benefits. Unfortunately, not all cloud and service providers embrace composability. Let composability be your primary criterion for choosing the vendors you will work with to power your AI operations.

Heard on the Street – 3/28/2024

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.