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.
Databricks Data Reports Shows How 9,000+ Global Companies are Gearing Up to Be Competitive on AI
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.
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.
“Above the Trend Line” – Your Industry Rumor Central for 5/22/2023
Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.
Label Classifier Market To Reach US$ 546.41 Billion By 2033
As per a new Fact.MR analysis, the global label classifier market is expected to be worth US$ 48.89 billion in 2023 and US$ 546.41 billion by 2033. During the forecast period, the label classifier industry is predicted to expand at a CAGR of 27.3%. The label classifier market is anticipated to increase significantly as AI and ML technologies become widely used. Label classifier sales are increasing as the demand for automated data processing and analysis grows. The increasing popularity of cloud-based label classification systems boosts label classifier demand.