BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA SCIENCE
Newswire | May 29, 2023
NorthGravity, a leading provider of advanced data analytics software, is thrilled to announce the release of Hubcio. With its cutting-edge capabilities, Hubcio will join the NorthGravity AI (NGAI), sitting alongside the NorthGravity Platform (NGP) and the NorthGravity Insights (NGI). Hubcio's integration with the NorthGravity AI Suite enables users to seamlessly leverage its power. Users can effortlessly build advanced data pipelines, streamline Python code to extract valuable insights, and gain a comprehensive view of internal documents and data—all within the unified NGAI ecosystem.
"We are excited to announce that Hubcio will be a vital component of our NorthGravity product," said Travis Nadelhoffer, CEO of NorthGravity. "By integrating Hubcio with NGP and NGI, we are providing our clients with a powerful suite of AI tools that seamlessly work together to enable data-driven insights and decision-making."
Key features of Hubcio within the NGAI include:
Unified AI Ecosystem: Hubcio seamlessly integrates with the NorthGravity Platform (NGP) and NorthGravity Insights (NGI) as part of the NorthGravity AI Suite (NGAI), providing users with an integrated environment for data analysis.
Advanced Data Pipelines: Users can build sophisticated data pipelines utilizing the NGAI ecosystem within the NGP, effortlessly transforming and processing data to extract valuable insights.
Python Optimization: Hubcio simplifies the process of writing Python code, enabling users to extract maximum value from data with minimal effort.
Advanced Expeditor: Hubcio creates a foundation for building data pipelines and writing code within the NGP.
Internal Document Insights: Gain a comprehensive view of internal documents and data, uncovering valuable insights and knowledge hidden within your organization, powered by the NGAI ecosystem.
Automated Submission and Training: Automate the submission and training of internal data and documents, creating a secure and customizable knowledge base for natural language queries, all within the NG ecosystem.
To learn more about Hubcio, please visit https://www.northgravity.com/.
NorthGravity is a leading provider of advanced data analytics software, helping businesses unlock the full potential of their data. NorthGravity's innovative software suite includes the NorthGravity Platform (NGP), NorthGravity Artificial Intelligence (NGAI), and NorthGravity Insights (NGI). The NGP is a platform used for data storage, collection, and pipelines. The NGAI is a suite of AI tasks, autoML and Hubcio. The NGI is a business insights tool. NorthGravity is committed to delivering superior software that drives business growth and success.
BIG DATA MANAGEMENT, DATA SCIENCE
Prnewswire | May 30, 2023
HighByte®, an industrial software company, today announced the release of HighByte Intelligence Hub version 3.1 that expands operational technology (OT) data access, governance, and scale capabilities for industrial companies. The release includes a new REST Data Server that acts as an API gateway for industrial data residing in OT systems, so any application or service with an HTTP client can securely request OT data in raw or modeled form directly from the Intelligence Hub—without requiring domain knowledge of the underlying systems.
"With its initial release in 2020, HighByte Intelligence Hub entered the market as a client-based application capable of publishing data to consuming systems. Earlier this year, we released server-based capabilities with the addition of an embedded MQTT broker, allowing systems to subscribe to industrial data sources. In a few short months, we have expanded data access yet again with the ability to request data on-demand from the Intelligence Hub through a REST API," said HighByte CEO Tony Paine. "This technical evolution reflects the maturing Industrial DataOps market and the increasingly sophisticated use cases of our customers. We are listening and committed to staying ahead of market needs."
HighByte Intelligence Hub version 3.1 adds additional capabilities to support data governance and scale, including more flexible configuration management. The Intelligence Hub now allows easy export and import of full or partial project configurations, which can be configured through the user interface, configuration files, or the configuration API. Users can also import models and instances directly from third party systems like Element Unify, supporting AWS's Industrial Data Fabric architecture. In addition, users can dynamically drive template definitions from third party sources and trigger flows for individual assets, streamlining configuration across similar assets and use cases.
"We are particularly excited about the new ability to import and export full or partial projects directly through the user interface. This functionality holds special significance for us as we are running HighByte Intelligence Hub in multiple Docker containers," said Matthew Venter, Solutions Architect at Gousto, an online meal-kit manufacturer and retailer and certified B Corporation. "With the ability to seamlessly import and export projects, we can effortlessly replicate and distribute our configurations across different container instances."
Other features include a new Apache Kafka connector and significant improvements to existing connectors including PI System, Sparkplug, OPC UA, REST Client, AWS IoT SiteWise, Modbus, and the File connector (now with FTP support).
HighByte Intelligence Hub version 3.1 is now commercially available. All new features and capabilities introduced in version 3.1 are included in standard pricing. Please contact HighByte or an authorized distributor to request a trial or purchase an annual subscription license.
HighByte is an industrial software company in Portland, Maine USA building solutions that address the data architecture and integration challenges created by Industry 4.0. HighByte Intelligence Hub, the company's award-winning Industrial DataOps software, provides modeled, ready-to-use data to the Cloud using a codeless interface to speed integration time and accelerate analytics. Learn more at https://www.highbyte.com.
BIG DATA MANAGEMENT, DATA SCIENCE, MACHINE LEARNING
Businesswire | May 30, 2023
Snorkel AI, the data-centric AI platform company, today announced the agenda for Future of Data-Centric AI Conference 2023 (FDCAI). Now in its third year, FDCAI has established itself as the definitive community and conference for AI, bringing together thousands of data scientists, ML engineers, software developers, Fortune 500 organizations, AI-first companies, and academia under one roof to share best practices and the latest in AI innovation.
Held on June 7-8, 2023, this year's virtual event will explore how to leverage new AI advances such as large language models (LLMs), foundation models, generative AI, programmatic labeling, weak supervision, prompting, synthetic data and more—all using data-centric AI workflows.
"AI has seen an explosion of innovation in the last few months prompted by the fast rise of large language models,” said Devang Sachdev, VP of Marketing, Snorkel AI. “These advancements, while remarkable, also underscore the urgent need for adopting data-centric approaches to ensure high-quality data and effective AI development. This is why we started The Future of Data-Centric AI conference three years ago, and why we’re continuing to build on it today—to create a forum for the world’s AI innovators to discuss how to deploy AI in real-world settings.”
FDCAI’s speaker line-up this year includes leading AI practitioners, researchers and academics from such companies as: Arista, Bank of America, Bloomberg, Capital One, Caterpillar, Comcast, Databricks, EY, Georgetown University CSET, Google, Harvard, Hugging Face, JP Morgan & Chase, Kaiser Permanente, Marsh, Mayo Clinic, Microsoft, Natwest and many others. Notable mentions include:
DJ Patil, first U.S. Chief Data Scientist and General Partner, Greatpoint Ventures
Emad Mostaque, Founder and CEO, Stability AI
Yoav Shoham, Co-founder, AI21 Labs
Matei Zaharia, Chief Technologist, Databricks
Nurtekin Savas, Head of Enterprise Data Science, Capital One
Gideon Mann, Head of ML Product and Research, Office of the CTO at Bloomberg LP.
The sessions at this year’s conference will focus on the following areas:
Data development techniques: programmatic labeling, active learning, weak supervision, data cleaning, and synthetic data augmentation.
Enterprise use cases: predictive AI, generative AI, NLP, computer vision, conversational AI.
AI development stack: AutoML, ML frameworks, no-code/low-code development.
Foundation models/LLMs: fine-tuning, prompt engineering, prompt chaining, and enterprise adoption
This year’s conference also features an AI poster competition with $15K in prizes and submissions from Argonne National Lab, Columbia University, Cornell University, Medidata, Stanford University, TitanML, University of Cambridge, University of Toronto, University of Utah and University of Wisconsin-Madison.
The Future of Data-Centric AI conference is hosted by Snorkel AI in partnership with Gretel AI, Hugging Face, Lambda Labs, Microsoft, Predibase, Seldon AI, and Together. All the sessions are virtual and free to attend.
For the full conference schedule or to register, visit: https://future.snorkel.ai/
About Snorkel AI
Founded by a team spun out of the Stanford AI Lab, Snorkel AI makes AI application development fast and practical by unlocking the power of machine learning without the bottleneck of manually-labeled training data. Snorkel Flow is the first data-centric AI platform powered by programmatic labeling. Backed by Addition, Greylock, GV, In-Q-Tel, Lightspeed Venture Partners and funds and accounts managed by BlackRock, the company is based in Palo Alto. For more information on Snorkel AI, please visit: https://www.snorkel.ai/ or follow @SnorkelAI.