Pandora’s Box or Lockbox? The Top 3 Barriers to Implementing Generative AI

In this contributed article, Shayde Christian, Chief Data & Analytics Officer at Cloudera, discusses issues surrounding the barriers organizations face when it comes to implementing GenAI and how to navigate them.

Unleashing the Power of Graph and Vector Databases in the Age of Generative AI

In this contributed article, Dave Voutila, solutions engineer at Redpanda, does a dive deep into the world of graph and vector databases, explores how these technologies are converging in the age of generative AI and provides real-time insights on how organizations can effectively leverage each approach to drive their businesses. 

Nutanix Accelerates Enterprise Adoption of Generative AI

Nutanix (NASDAQ: NTNX), a leader in hybrid multicloud computing, announced new functionality for Nutanix GPT-in-a-Box, including integrations with NVIDIA NIM inference microservices and Hugging Face Large Language Models (LLMs) library

FinTech Studios® Launches Apollo PRO® and RegLens PRO® Market Intelligence and Regulatory Intelligence Apps Powered with Conversational Generative AI 

FinTech Studios Inc., a leading Gen AI platform for enterprise search, market intelligence and regulatory intelligence, announced Apollo PRO and RegLens PRO, the most advanced generative AI enterprise search, market intelligence and regulatory intelligence apps that includes a “conversational chat” interface and contextually relevant “suggested prompts”, seamlessly integrated with millions of authoritative sources of web and enterprise content.

Deploying Machine Learning Models at Scale: Strategies for Efficient Production

In this contributed article, freelance writer Ainsley Lawrence briefly explores deploying machine learning models, showing you how to manage multiple models, establish robust monitoring protocols, and efficiently prepare to scale. 

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.

Yesterday’s Pricing Processes are Not For Tomorrow 

In this contributed article, Barrett Thompson, General Manager of Commercial Excellence at Zilliant, discusses how most companies are still falling behind the curve when it comes to managing valuable business data, and are often trying to combat costs of working in disparate systems. Why are so many leaders resisting positive change when it comes to managing and evaluating valuable business information?

Improvements in Contextual Intelligence and Generative AI will Help Creative Personalization Reach its Full Potential  

In this contributed article, Chief Operating Officer at Flashtalking and Mediaocean, Ben Kartzman, discusses how advancements in contextual intelligence and GenAI are transforming creative personalization in digital advertising amid diminishing data signals like Mobile Ad IDs and third-party cookies. Ben points out that AI-driven improvements enable more accurate targeting and tailored ad creative, while GenAI facilitates the real-time creation of new ad assets, leading to unprecedented personalization. He argues that these advancements are crucial in the evolving landscape of digital advertising, redefining the traditional approach of delivering relevant messages to audiences.

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.

Is Generative AI Having Its Oppenheimer Moment?

In this contributed article, Manuel Sanchez, Information Security and Compliance Specialist at iManage, discusses how Generative AI – which burst into the mainstream a little over a year ago – seems to be having an Oppenheimer moment of its own.