Heard on the Street – 6/5/2023

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.

Fake ChatGPT Apps Scam Users Out of Thousands of Dollars, Sophos Reports

Sophos, a global leader in innovating and delivering cybersecurity as a service, announced that it had uncovered multiple apps masquerading as legitimate, ChatGPT-based chatbots to overcharge users and bring in thousands of dollars a month. As detailed in Sophos X-Ops’ latest report, “’FleeceGPT’ Mobile Apps Target AI-Curious to Rake in Cash,” these apps have popped up in both the Google Play and Apple App Store, and, because the free versions have near-zero functionality and constant ads, they coerce unsuspecting users into signing up for a subscription that can cost hundreds of dollars a year.

Overcoming Data Overload with Data Fabric 

In this contributed article, Pradeep Menon, EVP, Digital Transformation Services Delivery, at Orion Innovation, discusses how reducing repetitive tasks in data discovery, analysis, and implementation is challenging. Organizations today are not only looking to reduce those repetitive tasks but also incorporate augmented data management solutions to drive revenue. The key to success is understanding the importance of incorporating data fabric as part of an overall data strategy that delivers real-time, secure, and connected data across the organization to support modern applications, insights, and analytics.

Dataiku 12 Accelerates Into the AI Era With Power and Control

Dataiku, the platform for Everyday AI, unveiled Dataiku 12, their latest breakthrough release packed with transformative new features designed to help organizations confidently harness AI in their advanced analytics initiatives with enhanced transparency and strengthened governance features. 

Modern Observability:  When “Small” Data Beats Big Data

In this contributed article, Ozan Unlu, CEO and Founder of Edge Delta, explores how a cloud-first world demands that observability be approached in a different way, one that favors “small data” over “Big Data.” In some cases, Ozan believes, a central repository is no longer even needed.

Databricks Data Reports Shows How 9,000+ Global Companies are Gearing Up to Be Competitive on AI

Data + AI company Databricks has published the 2023 State of Data + AI report, examining patterns and trends in AI adoption across more than 9,000 global companies that use the platform as a foundation for their data efforts. The report paints a pretty clear picture on how enterprises are preparing to stay competitive in this new age of generative AI, with data to support how companies are embracing LLMs and what the fastest growing data and AI tools out there are. 

UVA Researchers Built an AI Algorithm That Understands Physics

Normally, when testing the behavior of materials under high heat or explosive conditions, researchers have to run simulation after simulation, a data-intensive process that can take days even on a supercomputer. However, with a deep learning algorithm created by Stephen Baek, Phong Nguyen and their research team, the process takes less than a second on a laptop. 

Study Finds Data Quality is Still the Largest Obstacle for Successful AI and Greater Human Expertise Needed Across ML Ops Lifecycle

iMerit, a leading artificial intelligence (AI) data solutions company, released its 2023 State of ML Ops report, which includes a study outlining the impact of data on wide-scale commercial-ready AI projects. The study surveyed AI, ML, and data practitioners across industries, and found an increasing need for better data quality and human expertise and oversight in delivering successful AI. This is especially true as powerful new generative AI tools and continuous improvements to automation are rolled out at an increasingly rapid pace. 

North America Holds the Largest Market Share in Artificial Intelligence at 43%

Artificial intelligence (AI) has undergone great development in recent years, causing a spike in both interest and adoption around the globe. Data acquired by BanklessTimes.com has revealed that the current value of the global AI market is estimated at $119.78 billion but is expected to grow at a 38.1% CAGR, to reach $1,591.03 billion by the end of 2030.

Oracle’s New Pricing Model Ignores the Value of Java

Scott Sellers, Azul President, CEO & Co-founder, breaks down why Oracle’s recent pricing changes could be the tipping point in accelerating the shift towards third-party Java runtimes