KX, a pioneer in vector and time-series data management, has announced the general availability of KDB.AI Cloud, a vector database for real-time contextual AI. Quick and easy to set up and use, this free, cloud-based version of KDB.AI, the leading vector database , has been designed with a commitment to provide a superior developer experience.
KX Announces KDB.AI Cloud: The Free, Smarter Vector Database for AI
Research Highlights: Unveiling the First Fully Integrated and Complete Quantum Monte Carlo Integration Engine
Quantinuum, a leading integrated quantum computing company has published full details of their complete Quantum Monte Carlo Integration (QMCI) engine. QMCI applies to problems that have no analytic solution, such as pricing financial derivatives or simulating the results of high-energy particle physics experiments and promises computational advances across business, energy, supply chain logistics and other sectors.
New FeatureByte Copilot Automatically Ideates Use-Case Specific Features for Data Scientists
FeatureByte, an AI startup formed by a team of data science experts, announced FeatureByte Copilot, an automated, intelligent feature ideation solution that marks a new era in enterprise AI. This new product, driven by data semantics and real-world relevance, eliminates a major headache for data science teams – preparing and deploying AI data.
#insideBIGDATApodcast: Can A.I. Take a Joke?
Artificial intelligence, we’ve been told, will destroy humankind. No, wait — it will usher in a new age of human flourishing! Freakonomics Radio guest host Adam Davidson (co-founder of Planet Money) sorts through the big claims about A.I.’s future by exploring its past and present — and whether it has a sense of humor. Enjoy the podcast!
Starburst Introduces Python DataFrame Support for Complex Data Transformation and Data Application Workloads
Starburst, the data lake analytics platform, today extended their support for the most widely used multi-purpose, high-level programming language, Python with PyStarburst, as well as announced a new integration with the open source Python library, Ibis, built in collaboration with composable data systems builder and Ibis maintainer, Voltron Data.
IT Leaders Craving Insights on Generative AI Use, Finds New Snow Software SaaS Management Survey
Snow Software, a leader in technology intelligence, unveiled new data suggesting IT leaders are grappling with anxiety over the risks of generative AI despite continued confidence in their software-as-a-service (SaaS) security posture. The latest study, which surveyed 1,000 IT leaders, looks at shifting challenges and opportunities facing IT leaders managing SaaS.
LinkedIn Releases State of AI @ Work Report
LinkedIn’s Economic Graph Research & Insights (EGRI) team released The Future of Work Report: AI at Work, a new quarterly report featuring current insights on the state of AI and the workforce, as well as analysis on how AI may impact how we work moving forward. Using LinkedIn’s powerful data infrastructure, the team is able to synthesize billions of data points from the company’s Knowledge Graph to uncover key economic trends that inform marquee reports such as this one.
Generative AI Report: Nutanix Simplifies Adoption of Generative AI with New Nutanix GPT-in-a-Box Solution
Nutanix (NASDAQ: NTNX), a leader in hybrid multicloud computing, announced the Nutanix GPT-in-a-Box™ solution for customers looking to jump-start their artificial intelligence (AI) and machine learning (ML) innovation, while maintaining control over their data. The new offering is a full-stack software-defined AI-ready platform, along with services to help organizations size and configure hardware and software infrastructure suitable to deploy a curated set of large language models (LLMs) using the leading open source AI and MLOps frameworks on the Nutanix Cloud Platform™. It allows customers to easily procure AI-ready infrastructure to fine-tune and run generative pre-trained transformers (GPT), including LLMs at the edge or in their datacenter.
UMass Amherst Computer Scientists Use AI to Accelerate Computing Speed by Thousands of Times
A team of computer scientists at the University of Massachusetts Amherst, led by Emery Berger, recently unveiled a prize-winning Python profiler called Scalene. Programs written with Python are notoriously slow—up to 60,000 times slower than code written in other programming languages—and Scalene works to efficiently identify exactly where Python is lagging, allowing programmers to troubleshoot and streamline their code for higher performance.
Survey: Over Half of Senior AI Professionals See at Least 2x ROI on AI Initiatives
Dataiku, the platform for Everyday AI, together with Databricks, the data and AI company, revealed survey findings that shed light on AI’s transformative impact on businesses globally. The findings confirm that AI, including Generative AI, is now experiencing an impactful level of business results, matching its rapid rate of adoption.