The Critical Role of Data in Solving Society’s Biggest Problems

In this contributed article, Charles Sword, Chief Revenue Officer at UpMetrics, discusses why foundations and impact investors have been dropping the ball with respect to data analytics and how they should work with the nonprofits they fund to maximize the impact they are making and effectively convey stories which illustrate that impact.

Generative AI Report – 1/30/2024

Welcome to the Generative AI Report round-up feature here on insideBIGDATA with a special focus on all the new applications and integrations tied to generative AI technologies. We’ve been receiving so many cool news items relating to applications and deployments centered on large language models (LLMs), we thought it would be a timely service for readers to start a new channel along these lines. The combination of a LLM, fine tuned on proprietary data equals an AI application, and this is what these innovative companies are creating. The field of AI is accelerating at such fast rate, we want to help our loyal global audience keep pace.

Looking to 2024: Data, AI and Security will be Top Priorities for Businesses

In this contributed article, Nathan Vega, Vice President of Product Marketing and Strategy at Protegrity, looks ahead to 2024, unpacks the make-or-break priorities that businesses must consider heading into the new year.

How Data Silos Hinder Big Data Analytics and How to Overcome Them

In this contributed article, IT Professional Subhadip Kumar draws attention to the significant roadblock that data silos present in the realm of Big Data initiatives. In today’s data-driven landscape, the seamless flow and integration of information are paramount for deriving meaningful insights. Unfortunately, data silos pose a formidable challenge to the success of Big Data endeavors.

How Generative AI Can Help Lower Data Risk in  Enterprises 

In this contributed article, Sid Banerjee, CEO of SG Analytics, discusses how generative AI has become widely popular. However, its adoption comes with a degree of ethical data risk. It has become more vital than ever for businesses to prioritize the use of generative AI responsibility while ensuring an accurate, empowering, and sustainable environment. There is also a growing need for ethical implications to lower data risks in enterprises.

Heard on the Street – 1/25/2024

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.

Optimizing Performance and Cost Savings for Elastic on Pure Storage

[SPONSORED POST] Organizations can now confidently embrace Elastic, enhance their hot tier storage, and seamlessly manage historical data with cost-efficient capacity-optimized storage. Pure Storage not only meets the demands of the modern data landscape but also empowers organizations to simplify their Elastic architecture, reflecting the industry trend towards a more streamlined and efficient approach.

2024 – the Year Ahead in AI

In this contributed article, Anupam Datta, Chief Scientist and President of TruEra, highlights 2024 – the year ahead in AI in terms of flourishing innovation, riding up the maturity curve, and bringing AI into the real world.

The AI Revolution Has Officially Arrived—Here’s What it Looks Like On the Ground

In this contributed article, Nik Froelich, CEO and Founder of Saritasa, suggests that as we know, the possibilities AI brings to business are nothing short of thrilling; however, there is a sense that perhaps we’re overlooking the powerful impact it already has on our world. Explore the various novel ways in which AI is already transforming the business landscape.

New OneStream Research Finds 80% of Financial Decision-Makers Believe AI Will Increase Productivity

OneStream, a leader in corporate performance management (CPM) solutions for advancing financial close, consolidation, reporting, planning and forecasting, announced the results of its global “AI-Driven Finance“ survey, revealing the majority (80%) of financial decision-makers believe AI will increase productivity in the office of finance.