In this contributed article, Aayam Bansal explores the increasing reliance on AI in surveillance systems and the profound societal implications that could lead us toward a surveillance state. This piece delves into the ethical risks of AI-powered tools like predictive policing, facial recognition, and social credit systems, while raising the question: Are we willing to trade our personal liberties for the promise of safety?
Small Language Models Set for High Market Impact in 2025
November 29, 2024 by
As the initial hype surrounding GenAI continues to mellow, the market impact of small language models (SLMs) is set to soar. Benefitting from faster training times, lower carbon footprint, and improved security, SLMs could prove more attractive for enterprises compared to the LLMs that have thus far dominated headlines.
Research Insights: The Complex Role of AI Disclosure in Building Trust
November 28, 2024 by
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.
Unlocking the Power of Generative AI to Support the Software Development Lifecycle
November 27, 2024 by
In this contributed article, Keri Olson, IBM’s Vice President of Product Management, AI for Code, discusses how AI code assistants can help accelerate the software development lifecycle (SDLC), enhance productivity, and improve code quality through generative AI.
Embrace Innovation While Reducing Risk: The Three Steps to AI-grade Data at Scale
November 26, 2024 by
In this contributed article, Kunju Kashalikar, Senior Director of Product Management at Pentaho, discusses how to dream big without the risk: three steps to AI-grade data. The industry adage of ‘garbage-in-garbage-out’ has never been more applicable than now. Clean, accurate data is the key to winning the AI race – but leaving the starting blocks is the challenge for most. Winning the race means working with data that’s match fit for AI.
Kinesis Network Launches Serverless Feature to Solve Critical Computing Power Shortage for AI-Infrastructure
November 26, 2024 by
Kinesis Network, a global compute optimization platform, announced a new serverless feature enabling enterprises to run workloads across a dynamic, multi-cloud environment.
Podcast: The Batch 11/20/2024 Discussion
November 25, 2024 by
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).
New Release of Graphwise GraphDB Delivers Multi-Method Graph RAG to Accelerate R&D for GenAI Applications, Increase Precision, and Enable Self-Service Data
November 25, 2024 by
Graphwise, a leading Graph AI provider, announced the immediate availability of GraphDB 10.8. This release includes the next-generation Talk-to-Your-Graph capability that integrates LLMs with vector-based retrieval of relevant enterprise information and precise querying of knowledge graphs.
LogicMonitor Seeks to Disrupt AI Landscape with an $800 Million Strategic Investment at a Valuation of Approximately $2.4 Billion to Revolutionize Data Centers
November 23, 2024 by
LogicMonitor, a leading SaaS-based hybrid observability platform powered by artificial intelligence (AI), announced a transformative $800 million investment of new equity and strategic financing from a consortium of investors including PSG, Golub Capital and others.
70% of Firms Disrupted by AI: New Endava Research
November 22, 2024 by
Endava a leading tech services provider, launched its latest research report with IDC titled, “The Next Wave of Digital Transformation in the Era of the AI-Powered Digital Shift.”
