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.

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.

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

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.

Redefining Digital Engagement in a Cookieless World: The Power of AI and Zero-Party Data

In this contributed article, Christian J. Ward, Executive Vice President and Chief Data Officer at Yext, discusses how before January of this year, up to 83% of marketers relied on third-party data sources for personalization strategies. Now, as cookies continue to phase out, those marketers might be facing a crisis — but it could be an opportunity to create more trustworthy, privacy-respecting strategies in the long run.

Embracing the Potential of Data: Beyond the ‘New Oil’ Metaphor 

In this contributed article, Cal Al-Dhubaib, Head of AI and Data Science at Further, discusses why businesses should treat data like radioactive materials—and how to avoid it becoming a liability.

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.

Global Survey Shows 72% of Consumers Worry about Being Fooled by Deepfakes on Daily Basis

Jumio, a leading provider of automated, AI-driven identity verification, risk signals and compliance solutions, released the Jumio 2024 Online Identity Study, the third installment of its annual global consumer research. This year’s results highlight significant concerns among consumers about the risks associated with generative AI and deepfakes, including the potential for increased cybercrime and identity fraud.