The latest big data news and articles

Securing GenAI in the Enterprise

Opaque Systems released a new whitepaper titled “Securing GenAI in the Enterprise.” Enterprises are chomping at the bit to use GenAI to their benefit but they are stuck. Data privacy is the number one factor that stalls GenAI initiatives. Concerns about data leaks, malicious use, and ever-changing regulations loom over the exciting world of Generative AI (GenAI), specifically large language models (LLMs).

Microsoft Expands AI Reach with Partnership with French Start-up Mistral

Microsoft has taken another notable step forward in the realm of artificial intelligence by announcing a strategic partnership with Mistral, a French AI start-up based in Paris. This move further exemplifies Microsoft’s commitment to broaden its presence in the rapidly evolving AI industry beyond its existing alliance with OpenAI and at a global scale.

NEW RESEARCH: Growing Database Complexity Will Fuel Significant Skills Gaps in 2024

Increasing complexity, the rapid adoption of emerging technologies and a growing skills gap are the biggest concerns facing IT leaders in 2024, according to The State of the Database Landscape, a major new survey from end-to-end Database DevOps provider Redgate. 

AI Integration in the Service Industry: Navigating Challenges and Leveraging Human Expertise 

In this contributed article, Edwin Pahk, SVP of Presales & Customer Success at Aquant, discusses how AI is revolutionizing industries, especially in the service sector involving complex equipment maintenance, by promising efficiency and innovation. However, its integration faces challenges like adapting infrastructure, cultural shifts, and the need for evolved employee skills, requiring a human-in-the-loop approach and transforming AI vendors from mere providers to strategic advisors, while democratizing AI skills across the workforce.

A Brief Overview of the Strengths and Weaknesses Artificial Intelligence 

In this contributed article, editorial consultant Jelani Harper suggests that since there are strengths and challenges for each form of AI, prudent organizations will combine these approaches for the most effective results. Certain solutions in this space combine vector databases and applications of LLMs alongside knowledge graph environs, which are ideal for employing Graph Neural Networks and other forms of advanced machine learning.

Video Highlights: How to Integrate Generative AI Into Your Business — with Piotr Grudzień

In this video presentation, our good friend Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, is joined by Founder of Quickchat AI Piotr Grudzień who believes the key to any successful AI platform is to ensure it can be tailored to a company’s specific needs.

The Future of Computing: Harnessing Molecules for Sustainable Data Management

In this contributed article, Erfane Arwani, founder and CEO of Biomemory, discusses how molecular computing (using molecules rather than traditional silicon chips for computational tasks) could be a critical component in revolutionizing data storage, despite the exponential growth of AI.

Harnessing the Capabilities of Gen AI for Unprecedented Impact and Effortless Integration

In this contributed article, Ajay Kumar, CEO at SLK Software, discusses how generative AI provides unprecedented impact and effortless integration for the banking, insurance, and manufacturing industries. Ajay elaborates on why you need an adoption framework to successfully implement generative AI, how different categories of generative AI fit into an enterprise adoption framework, and navigating stakeholder challenges of adopting generative AI

Heard on the Street – 2/22/2024

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.

Veritas Survey Finds Workers are Putting Businesses at Risk by Oversharing with GenAI Tools

Our friends over at Veritas just released a new survey revealing that workers are oversharing with generative AI tools, putting businesses at risk. Nearly a third (31%) of global office workers admitted to inputting potentially sensitive information into generative AI tools, such as customer details or employee financials.