New AI Data: 88% of SMBs Use AI and 40% Concerned about Security

Our friends over at Pax8, a leading cloud commerce marketplace, released a new global report in collaboration with Microsoft and Channelnomics on the AI buying trends of Small and Midsize Businesses (SMBs).  

New Global Survey Finds Enterprises Lack Direction and Training for Workers on the Use of GenAI Tools   

UiPath (NYSE: PATH), a leading enterprise automation and AI software company, published its annual Global Knowledge Worker Survey that uncovers how employees are using generative AI (GenAI), the shortcomings and risks of the technology, and the opportunity for combining GenAI with business automation. 

Survey: C-Suite Execs Trust AI’s Potential but Face Challenges in Strategy, Execution, and Reliability

A new survey of C-suite executives and AI leaders shows while enterprise decision-makers trust the potential of AI, many lack confidence in their company’s strategy to execute as well as the data readiness to ensure reliability of AI outputs. Moreover, 7 in 10 executives say their AI strategy is not fully aligned to their business strategy today.

Genpact/HFS Share Considerations for Intelligent and Sustainable Gen AI Adoption

Genpact’s released a new report, issued alongside HFS surveying over 550 senior executives across 12 countries and 8 industries titled “The Two-Year Gen AI Countdown: How businesses are scaling GenAI adoption and avoiding the productivity trap.” The report unpacks how there is a two-year window to capitalize on the advantages of generative AI before competitive disadvantages emerge.

New Research from Elastic Finds Conversational Search Could Yield Staggering Productivity Returns

New research by Elastic (NYSE: ESTC), the company behind Elasticsearch®, found nearly all (99%) global IT decision makers, regardless of region or industry, recognize GenAI’s transformative potential to influence change within their organizations. However, early adoption continues to be slowed by chaotic data estates, search challenges, and fears around privacy and security, regulation, and internal skills gaps.

Exasol Finds AI Underinvestment Leads to Business Failure, But Data Challenges Stall Rapid Adoption

Senior decision-makers know that AI is critical for their business’ viability, yet despite growing stakeholder pressure to implement the technology quickly, regulatory and technological challenges are slowing the process, according to a new report from our friends over at Exasol, the high-performance analytics database provider. Exasol’s 2024 “AI and Analytics Report” investigates the current state of AI implementation, top data analytics challenges, and the future of the C-suite given the explosive growth of data and adoption of emerging technologies.

58% of Americans Interested in Training AI Models, Survey Finds

Mindrift, a new data generation platform and community for subject matter experts across industries to create high quality datasets for safe, accurate, and responsible AI development, is celebrating its launch by releasing an “AI and the Workforce” report, which surveyed over 1,000 Americans.

AI Fuels Nearly 30% Increase in IT Modernization Spend, Yet Businesses Are Unprepared for Growing Data Demands, Couchbase Survey Reveals

Couchbase, Inc. (NASDAQ: BASE), the cloud database platform company, released the findings from its seventh annual survey of global IT leaders. The study of 500 senior IT decision makers found that investment in IT modernization is set to increase by 27% in 2024, as enterprises look to take advantage of new technologies, such as AI and edge computing, while meeting ever-increasing productivity demands.

Unveiling Jamba: AI21’s Groundbreaking Hybrid SSM-Transformer Open-Source Model

AI21, a leader in AI systems for the enterprise, unveiled Jamba, the production-grade Mamba-style model – integrating Mamba Structured State Space model (SSM) technology with elements of traditional Transformer architecture. Jamba marks a significant advancement in large language model (LLM) development, offering unparalleled efficiency, throughput, and performance.

Nature Communications Publishes Zapata AI Research on Generative AI for Optimization

Zapata Computing Holdings Inc. (Nasdaq: ZPTA), the Industrial Generative AI company, announced that its foundational research on generator-enhanced optimization (GEO) has been published in the esteemed Nature Communications journal. The research, titled “Enhancing Combinatorial Optimization with Classical and Quantum Generative Models,” introduces Generator-Enhanced Optimization (GEO), a novel optimization method that leverages the power of generative modeling to suggest high-quality candidate solutions to complex optimization problems.