BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT
Comet | November 17, 2022
Comet, provider of the leading MLOps platform for machine learning (ML) teams from startup to enterprise, today announced a bold new product: Kangas. Open sourced to democratize large scale visual dataset exploration and analysis for the computer vision and machine learning community, Kangas helps users understand and debug their data in a new and highly intuitive way. With Kangas, visualizations are generated in real time; enabling ML practitioners to group, sort, filter, query and interpret their structured and unstructured data to derive meaningful information and accelerate model development.
Data scientists often need to analyze large scale datasets both during the data preparation stage and model training, which can be overwhelming and time-consuming, especially when working on large scale datasets. Kangas makes it possible to intuitively explore, debug and analyze data in real time to quickly gain insights, leading to better, faster decisions. With Kangas, users are able to transform datasets of any scale into clear visualizations.
“A key component of data-centric Machine Learning is being able to understand how your training data impacts model results and where your model predictions are wrong. “Kangas accomplishes both of these goals and dramatically improves the experience for ML practitioners.”
Gideon Mendels, CEO and co-founder of Comet
Putting Large Scale Machine Learning Dataset Analysis at Your Fingertips
Developed with the unique needs of ML practitioners in mind, Kangas is a scalable, dynamic and interoperable tool that allows for the discovery of patterns buried deep within oceans of datasets. With Kangas, data scientists can query their large-scale datasets in a manner that is natural to their problem, allowing them to interact and engage with their data in novel ways.
Noteworthy benefits of Kangas include:
Unparalleled Scalability: Kangas was developed to handle large datasets with high performance.
Purpose Built: Computer Vision/ML concepts like scoring, bounding boxes and more are supported out-of-the-box, and statistics/charts are generated automatically.
Support for Different Forms of Media: Kangas is not limited to traditional text queries. It also supports images, videos and more.
Interoperability: Kangas can run in a notebook, as a standalone local app or even deployed as a web app. It ingests data in a simple format that makes it easy to work with whatever tooling data scientists already use.
Open Source: Kangas is 100% open source and is built by and for the ML community.
Kangas was designed for the entire community, to be embraced by students, researchers and the enterprise. As individuals and teams work to further their ML initiatives, they will be able to leverage the full benefits of Kangas. Being open source, all are able to contribute and further enhance it as well.
“Interoperability and flexibility are inherent in Comet’s value proposition, and Comet aims to expand on that value through open source contributions,” added Mendels. “Kangas is a continuation of all of our efforts, and we couldn’t wait to get its capabilities into the hands of as many data scientists, data engineers and ML engineers as possible. We believe by open sourcing it, Comet can help teams get the most out of their ML projects in ways that have not been possible previously.”
Kangas is available as an open source package for any type of use case. It will be available under Apache License 2 and is open to contributions from community members.
Comet provides an MLOps platform that data scientists and machine learning teams use to manage, optimize, and accelerate the development process across the entire ML lifecycle, from training runs to monitoring models in production. Comet’s platform is trusted by over 150 enterprise customers including Affirm, Cepsa, Etsy, Uber and Zappos. Individuals and academic teams use Comet’s platform to advance research in their fields of study. Founded in 2017, Comet is headquartered in New York, NY with a remote workforce in nine countries on four continents. Comet is free to individuals and academic teams. Startup, team, and enterprise licensing is also available.
BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA ARCHITECTURE
Mode Analytics | September 30, 2022
Mode Analytics today announced that it has been recognized as a Business Intelligence Leader in the inaugural Modern Marketing Data Stack Report: Your Technology Guide to Unifying, Analyzing, and Activating the Data that Powers Amazing Customer Experiences, executed and launched by Snowflake, the Data Cloud company.
Snowflake’s data-backed report identifies the best of breed solutions used by Snowflake customers to show how marketers can leverage the Snowflake Data Cloud with accompanying partner solutions to best identify, serve, and convert valuable prospects into loyal customers. By analyzing usage patterns from a pool of nearly 6,000 customers, Snowflake identified six technology categories that organizations consider when building their marketing data stacks. These categories include:
Integration & Modeling
Identity & Enrichment
Activation & Measurement
Data Science & Machine Learning
Focusing on companies that are active members of the Snowflake Partner Network (or ones with a comparable agreement in place with Snowflake), as well as Snowflake Marketplace Providers, the report explores each of these categories that comprise the Modern Marketing Data Stack, highlighting technology partners and their solutions as “leaders” or “ones to watch” within each category. The report also details how current Snowflake customers leverage a number of these partner technologies to enable data-driven marketing strategies and informed business decisions. Snowflake’s report provides a concrete overview of the partner solution providers and data providers marketers choose to create their data stacks.
“Marketing professionals continue to expand their investment in analytics to improve their organization’s digital marketing activities. “Mode has emerged as a leader in the Modern Marketing Data Stack, with joint customers leveraging their technology to interpret insights that lead to informed business decisions.”
Denise Persson, Chief Marketing Officer at Snowflake
Mode was identified in Snowflake’s report as a Leader in the Business Intelligence category for its particular success with Visual Explorer, Mode’s flexible visualization system that helps analysts explore data faster and provides easy-to-interpret insights to business stakeholders. Additionally, Mode and Snowflake have partnered in the past couple of years tocreate a modern data analytics stack, mobilizing the world’s data with the Snowflake Data Cloud to help joint customers quickly execute queries and perform analysis.
“Mode combines the best elements of business analytics and data science into a single platform, unlocking new ways for marketers to accelerate data-driven outcomes,” said Gaurav Rewari, CEO, Mode Analytics. “Our partnership with Snowflake makes it possible for marketing and other departments across an organization to truly centralize and interact directly with their data. With Snowflake’s single, integrated data platform, built to fully leverage the speed and flexibility of the cloud, organizations can mobilize their data in near-real time.”
About Mode Analytics
Mode’s advanced analytics platform is designed by data experts for data experts. It allows data scientists and analysts to visualize, analyze, and share data using a powerful end-to-end workflow that covers everything from early data exploration stages to presentation-ready shareable products. Unlike traditional business intelligence tools that produce static dashboards and reports, Mode brings the best of BI and data science together in a single platform, empowering everyone at your organization to use data to make high quality, high velocity decisions. Mode also supports the analytics community with free learning resources such as SQL School, open source SQL queries, and free tools for anyone analyzing public data.
BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT
Alteryx | October 19, 2022
Alteryx, Inc., the Analytics Automation Company, today revealed new enhancements to enable cloud analytics and enterprise readiness, announced at the company's annual customer and partner conference Inspire EMEA 2022.
Expanded Cloud and Snowflake Analytic Capabilities Enable Everyone to Deliver Valuable Insights
Businesses are embracing modern data architecture and cloud data warehouses like Snowflake to empower everyone in their organization to deliver data-driven insights from anywhere. In response, Alteryx is introducing new developments on the Alteryx Analytics Cloud platform, which provides unified and approachable end-to-end analytics in the Cloud.
Alteryx Machine Learning is now powered by the Alteryx Analytics Cloud platform. Now, anyone with a non-data science background can easily build automated machine learning models at scale to create predictive financial forecasts, identify overdue accounts, segment customers, improve user engagement, and more.
Designer Cloud powered by Trifacta has dramatically improved the performance of Snowflake data processing. New updates include processing data up to 20x faster when moving data from AWS to Snowflake, enabling users to quickly and easily access and utilize more data sources.
"Being able to take advantage of Snowflake computing in Alteryx Designer Cloud is a huge advantage for Advarra that allows us to centralize our resource management and investments," comments Sajid Sayed, senior director, data science platform at Advarra. "These enhancements to Snowflake Pushdown will provide more streamlined analytics performance and will be a huge advantage for Advarra and our data-driven approach to clinical research."
"Putting powerful machine learning tools in the hands of everyone and making data science accessible is core to solving the biggest challenges in business today," said Suresh Vittal, chief product officer at Alteryx. "At Alteryx, we are excited these new product enhancements will help essential in-department knowledge experts to make valuable contributions to the business by delivering outcomes that drive the innovation needed to succeed in hypercompetitive landscapes."
Improved Security and Speed for Enterprise Readiness with Alteryx 22.3
With exponential growth in the volume of data being created and captured daily, it is critical organizations fast track secure access to data across the organization. In the 22.3 product release, Alteryx enhances security and speed to enterprise-wide analytics insights.
To streamline how organizations connect users to data while also better protecting sensitive digital credentials, Alteryx's Data Connection Manager (DCM) now supports Azure Active Directory group authentication for Snowflake and Databricks, as well as a new integration with third-party vaults like HashiCorp and CyberArk.
Further, users can speed their time to insights with enhanced Google BigQuery connectivity. With 170x performance improvement, the new update allows analysts to work with large data sets where they live, rather than time consuming, costly processes that impact productivity. And, with general access to PDF to text capabilities, users can swiftly unlock insights from unstructured data using Alteryx Intelligence Suite.
Alteryx powers analytics for all by providing our leading Analytics Automation Platform. Alteryx delivers easy end-to-end automation of data engineering, analytics, reporting, machine learning, and data science processes, enabling enterprises everywhere to democratize data analytics across their organizations for a broad range of use cases. More than 8,000 customers globally rely on Alteryx to deliver high-impact business outcomes.
BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT
Mutually Human | September 08, 2022
Mutually Human, a nationally recognized digital transformation and software consultancy firm, announced today that it has acquired Mirrorlytics, a respected data and business analytics firm headquartered in Grand Rapids, MI. The two companies will combine under the Mutually Human brand.
As a result of the merger, the combined organization will offer a broader set of solutions to its clients. The additional data analytics capabilities will directly enhance Mutually Human's efforts in digital transformation, workforce transformation, and the proper application of new and innovative technologies.
Along with the combination, the company has also announced three leadership team changes. Mark Van Holstyn, Mutually Human's founder, has taken a strategic role as Chief Technology Officer. In this role, Van Holstyn will be responsible for technology innovation and leading the delivery of custom software and automation solutions. Data and analytics initiatives will be led by Jordan Poortenga, founder of Mirrorlytics, as Vice President of Analytics. Jason Kuipers will lead the combined company as President, where he will be responsible for all day-to-day operations.
"We are thrilled by what this means for our clients," said Kuipers. "The pace of digital change our customers face is continuing to accelerate. Incorporating the Mirrorlytics team will enable us to help our clients harness their data for a better understanding of their businesses, their customers, and their employees - ultimately leading to improved business outcomes. It's a powerful addition to our already industry-leading software development and automation capabilities."
"We've built a talented team at Mirrorlytics. By bringing our two organizations together under a single brand, we'll provide even more depth to our data and analytics advisory capabilities and enhance our full-service software consultancy," stated Poortenga.
Century Technology Group, Mutually Human's parent company, managed the acquisition. Financial details of the transaction have not been disclosed.
About Mutually Human
Mutually Human is a full-service software development and digital transformation consultancy that specializes in custom software, data analytics, and intelligent automation. Our U.S.-based team of technology strategists, business analysts, designers, engineers, and developers craft powerful, human-friendly software for organizations of all sizes looking to launch new digital products, identify processes ready for automation, or simply better understand their business. In short, Mutually Human works with clients to create and implement technology that people want to use, improves business outcomes, and empowers organizations to do more with less.
Founded in 2017, Mirrorlytics is a Management Consulting firm that specializes in Strategic Analytics. They provide analytical services that aim to help businesses develop a data-driven culture. Mirrorlytics work to align data-centered projects with strategic planning to ensure long-term goals are being met.
About Century Technology Group
Century Technology Group is a family office based in Grand Rapids, MI. The firm partners with proven operating leaders to provide growth capital, administrative resources, and managerial consulting to promising technology-lead businesses with strong core products, services, or capabilities. Their portfolio companies also include MindSpring, a global leader in digital content production, and Talent Strategy, a professional search and recruiting firm.