AI in Banking – How Artificial Intelligence is Used in Banks

In this contributed article, Ishan Gupta. CEO and Co-founder of RipenApps, discusses how banks have historically been at the forefront of technological advancements, they are renowned for using computers as well as providing internet-based financial services. However, the rise of AI has brought with it a new dawn of innovations. These days, AI is disrupting the entire banking sector in several ways. 

Lack of Governance, Infrastructure Readiness, and IT Talent Leading to Enterprise GenAI Struggles: New Report 

Despite growing interest and enthusiasm for  Generative AI (GenAI), significant challenges are emerging that threaten the success of GenAI projects, according to a co-sponsored research report from Enterprise Strategy Group (ESG) and Hitachi Vantara, the data storage, infrastructure, and hybrid cloud management subsidiary of Hitachi, Ltd. (TSE: 6501).

Business Leaders Must Prioritize Data Quality to Ensure Lasting AI Implementation

In this contributed article, Subbiah Muthiah, CTO of Emerging Technologies at Qualitest, takes a deep dive into how raw data can throw specialized AI into disarray. While raw data has its uses, properly processed data is vital to the success of niche AI. Industries such as medical, legal, and pharma require data that is contextualized, categorized, and verified. Business leaders must master data processing to succeed in an AI-powered world.

MIT News: How to Assess a General-purpose AI Model’s Reliability Before It’s Deployed

Researchers from MIT and the MIT-IBM Watson AI Lab developed a technique to estimate the reliability of foundation models before they are deployed to a specific task. They do this by considering a set of foundation models that are slightly different from one another. Then they use their algorithm to assess the consistency of the representations each model learns about the same test data point. If the representations are consistent, it means the model is reliable.

SandboxAQ Helps Unlock the Next Generation of AI-Driven Chemistry with NVIDIA Technology 

SandboxAQ announced today a groundbreaking advancement that pushes the limits of computational chemistry, impacting fields such as biopharma, chemicals, materials science and other industries. Collaborating with NVIDIA, SandboxAQ leverages Large Quantitative Models (LQMs) and the NVIDIA CUDA-accelerated Density Matrix Renormalization Group (DMRG) algorithm.

GenAI Investment to Grow 30%, with High Maturity Companies Projecting Three Times Higher ROI Over the Next Three Years than Low-Adoption Peers

GenAI investment is expected to grow 30%, with leaders from companies with high GenAI maturity anticipating their return on investment will be three-times higher over the next three years than that of companies with little or no adoption of the technology, according to a new report released by Boston Consulting Group (BCG).

In AI We Don’t Trust: Too Many Healthcare Insurers Base Decisions on Assumption Over Data, Report Reveals

The healthcare insurance sector in the US is struggling to make critical decisions due to a severe lack of accessibility, context and trust in their data. That is according to a new international study by ActiveOps, a leading provider of AI-powered decision intelligence for service operations.

HPC/AI User Forum Event September 4-5 at Argonne National Laboratory, Lemont, Illinois Features Real-World Uses of AI in Industry, Science & Energy

The HPC User Forum, established in 1999 to promote the health of the global HPC industry and address issues of common concern to users, has opened registration for its upcoming meeting, September 4-5, 2024, at Argonne National Laboratory in Lemont, Illinois. 

NPUs are Emerging as the Main Rival to NVIDIA’s AI Dominance

Fueled by the rise of Generative AI, the semiconductor market has established itself as one of the most profitable industries globally − the sector is already worth over $600 billion, with this figure set to increase to $1 trillion by 2030. During this growth period, NVIDIA has achieved the status of undisputed leader, predominantly as a result of the superior performance of its graphics processing units (GPUs).

IOP Publishing Launches Series of Open Access Journals Dedicated to Machine Learning and AI for the Sciences 

IOP Publishing (IOPP) launched a series of open access journals dedicated to the application and development of machine learning (ML) and artificial intelligence (AI) for the sciences. The new multidisciplinary Machine Learning series will collectively cover applications of ML and AI across the physical sciences, engineering, biomedicine and health, and environmental and earth science.