FeatureByte, an AI startup formed by a team of data science experts, announced the release of the FeatureByte self-service feature platform, which radically simplifies and automates the entire feature lifecycle to help enterprises truly scale AI across their organizations.
Improving Product Quality with AI-based Video Analytics: HPE, NVIDIA and Relimetrics Automate Quality Control in European Manufacturing Facility
Manufacturers are using the power of AI and video analytics to enable better quality control and traceability of quality issues, bringing them one step closer to achieving zero defects and reducing the downstream impacts of poor product quality. Together, HPE, NVIDIA and Relimetrics enable customers to adapt to high production variability and velocity with faster, more accurate, automated inspection processes.
NetSPI Debuts ML/AI Penetration Testing, a Holistic Approach to Securing Machine Learning Models and LLM Implementations
NetSPI, the global leader in offensive security, today debuted its ML/AI Pentesting solution to bring a more holistic and proactive approach to safeguarding machine learning model implementations. The first-of-its-kind solution focuses on two core components: Identifying, analyzing, and remediating vulnerabilities on machine learning systems such as Large Language Models (LLMs) and providing grounded advice and real-world guidance to ensure security is considered from ideation to implementation.
Generative AI Report: SnapLogic Introduces Generative Integration Solution
SnapLogic, a leader in generative integration, announced the general availability of SnapGPT, a generative integration solution. SnapGPT is the first available generative enterprise solution that empowers everyone to integrate faster and easier. Leveraging open source and proprietary large-language models and artificial intelligence, SnapGPT allows users to integrate any applications or data sources with natural language. SnapGPT’s ease of use allows enterprises to eliminate costly IT backlogs and accelerate the development of new business processes, all in a secure environment.
The Economic Impact of the AI-powered Developer Lifecycle and Lessons from GitHub Copilot
GitHub released new research detailing the potential economic impact and productivity benefits of generative AI. The company partnered with Harvard Professor Marco Iansiti, who’s well-known in the field, to dig into the impacts of GitHub’s Copilot tool, and generative AI more broadly. The potential is massive – the study found that AI developer productivity benefits could boost global GDP by over $1.5 trillion by 2030.
Generative AI Report: Workiva Strengthens its Platform Leadership with the Integration of Generative AI
Welcome to the Generative AI Report, a new feature here on insideBIGDATA with a special focus on all the new applications and integrations tied to generative AI technologies. We’ve been receiving so many cool news items relating to applications centered on large language models, we thought it would be a timely service for readers to start a new channel along these lines. The combination of a large language model, fine tuned on proprietary data equals an AI application, and this is what these innovative companies are creating. The field of AI is accelerating at such fast rate, we want to help our loyal global audience keep pace.
KDD 2023 – August 6-10 – Long Beach, CA
Sponsored by the ACM, the 29TH SIGKDD Conference on Knowledge Discovery and Data Mining is coming to Long Beach, CA on August 6-10. The annual conference is the premier international forum for data mining researchers and practitioners from academia, industry, and government to share their ideas, research results and experiences. The KDD conferences feature keynote presentations, oral paper presentations, poster sessions, workshops, tutorials, panels, exhibits, demonstrations, and the KDD Cup competition.
Survey Shows Top-Down Pressure to Adopt Generative AI, But Just 30% of Enterprises are Ready to Do So Today
Executives at large enterprises across the globe are facing unprecedented pressures around adopting generative artificial intelligence (GenAI), addressing ever-increasing data complexity, and managing a growing skills gap. That’s according to a new IDC survey, sponsored by Teradata (NYSE: TDC).
Interview: John Shaw, CEO, Add Value Machine, Inc.
In this exclusive feature, we’re thrilled to introduce John Shaw, CEO of Add Value Machine (shortly AVM). As a seasoned tech entrepreneur and AI visionary, John is at the helm of AVM’s mission to revolutionize the way businesses utilize Generative AI. The company is dedicated to developing a secure and compliant platform, addressing a critical need for enterprises and accelerating the adoption of AI to drive substantial business value. Throughout this interview, John shares insights about AVM’s unique approach, its value proposition, and how it navigates the evolving landscape of Generative AI.