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
Heard on the Street – 5/25/2023
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.
ChatGPT: A Fraud Fighter’s Friend or Foe?
In this contributed article, Doriel Abrahams, Head of Risk, U.S., Forter, explores how ChatGPT can combine with social engineering to conduct fraud, some of the generative AI trends he anticipates will play out this year, and how existing fraud rings could use the technology to manipulate both businesses and consumers alike.
Power to the Data Report: Introduction to H2O.ai
H2O.ai is a company that provides artificial intelligence (AI) and machine learning (ML) platforms and solutions. The company was founded in 2014 by a group of engineers and scientists who were passionate about making AI more accessible to everyone. H2O.ai’s mission is to “democratize AI” by making it easier for businesses and individuals to use AI to solve problems.
NVIDIA Collaborates With Microsoft to Accelerate Enterprise-Ready Generative AI
NVIDIA today announced that it is integrating its NVIDIA AI Enterprise software into Microsoft’s Azure Machine Learning to help enterprises accelerate their AI initiatives. The integration will create a secure, enterprise-ready platform that enables Azure customers worldwide to quickly build, deploy and manage customized applications using the more than 100 NVIDIA AI frameworks and tools that come fully supported in NVIDIA AI Enterprise, the software layer of NVIDIA’s AI platform.