A new Capital One survey “AI readiness survey: Are companies ready for AI adoption?” found that 87% of business leaders see their data ecosystem as ready to build and deploy AI at scale, yet 70% of technical practitioners spend hours daily fixing data issues.
NetApp’s 2024 Data Complexity Report Reveals AI’s Make or Break Year Ahead
NetApp® (NASDAQ: NTAP), the intelligent data infrastructure company, released its second annual Data Complexity Report, which examines how global organizations are navigating the increasing complexity of managing their data for AI.
How the Age of Generative AI is Changing a CISOs Approach to Security
In this contributed article, Chris Peake, Chief Information Security Officer (CISO) and Senior Vice President of Security at Smartsheet, explores how the role of CISOs is evolving to address new security challenges posed by generative AI. The article underscores the importance of collaboration and adaptability to keep organizations secure as AI is expected to continue to reshape cybersecurity in 2025.
Domo Releases 12th Annual “Data Never Sleeps” Report
AI and Collaboration Take Center Stage as Digital Activity Reaches Record Highs Domo (Nasdaq: DOMO) unveiled its annually anticipated 12th edition of Data Never Sleeps, offering a unique snapshot of how digital habits manifest themselves minute by minute. The report shows the world’s internet population has reached a record high of 5.52B people and uncovers signs […]
AI in Construction: Tackling Fragmented Data with Intelligent Solutions
In this contributed article, Omar Zhandarbekuly, co-founder at Surfaice.pro, explores how AI —particularly knowledge graphs, generative AI, and agentic AI—can bridge these gaps, transforming construction processes into streamlined, intelligent standalone systems.
AI’s Impact on Data Centers: Driving Energy Efficiency and Sustainable Innovation
In this contributed article, Joe Reele, Vice President, Solution Architects at Schneider Electric, discusses the challenges and innovations in data center design driven by AI advancements and discusses the implications for energy consumption, infrastructure, and technological evolution.
Why Trust is the Foundation of AI Content Production
In this contributed article, Joshua Ray, founder and CEO of Blackwire Labs, discusses how AI is ushering in a new era of productivity and innovation, but it’s no secret that there are urgent issues with the reliability of systems such as LLMs and other forms of AI-enabled content production. From ubiquitous LLM hallucinations to the lack of transparency around how “black box” machine learning algorithms make predictions and decisions, there are fundamental problems with some of the most widely used AI applications. This hinders AI adoption and generates resistance to the technology.
Embracing AI Devices in the Workplace: Navigating the Ethical Challenges
In this contributed article, Mary Giery-Smith, Senior Publications Manager for CalypsoAI, believes that by developing a culture grounded in responsible AI use, businesses can sidestep unintended pitfalls and build a workplace that values ethical integrity as much as innovation.
Research Insights: The Complex Role of AI Disclosure in Building Trust
Big Valley Marketing – just put out a report on AI disclosure that is very compelling. Since ChatGPT’s release, the debate around AI’s impact on productivity, job security, and creativity has only grown. Research now shows that nearly 80% of people distrust AI, which complicates the call for transparency in AI-driven content creation—disclosure could actually reduce credibility rather than build it.
Podcast: The Batch 11/20/2024 Discussion
Hello friends! We hope you enjoy this new podcast featuring Andrew Ng’s “The Batch” newsletter from November 11, 2024 featuring a rousing discussion of the emerging trend of writing text specifically for large language models (LLMs).