BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, DATA SCIENCE
Alation | January 31, 2023
On January 30, 2023, Alation Inc., a leading enterprise data intelligence solutions provider, announced the participation of three more universities in its philanthropic initiative, The Data Intelligence Project. The University of Cincinnati in Ohio, The University of Arkansas in Little Rock, Arkansas, and The University of Stirling in Scotland are among the new joining universities. So far, more than 420 students have employed Alation in their courses, with this year's worldwide cohort using Alation to provide real-world exposure to hundreds of new students.
Launched in 2021, the Data Intelligence Project creates a more data-literate, inquisitive, and rational society by fostering the next generation of data professionals. Alation, as part of The Data Intelligence Project, introduces its data intelligence platform into academic institutions for free and offers undergraduate and graduate students a hands-on learning experience utilizing a collaborative data catalog.
Through this program students and professors get access to Alation guest speakers with subject matter knowledge and presentation topics covering analytics, data science, data intelligence, IT, engineering, and more. In addition, Alation University provides students with access to high-quality training materials to assist them in mastering technical skills and utilizing the data catalog.
The University of Wisconsin-Milwaukee, one of the program's early participants, is now in its third year of the program, and it is continuing to experience success in educating the next generation of data professionals. It is used by the institution to encourage students' interest in data intelligence and to provide emerging leaders with the tools they need to succeed in their careers.
In addition to enhancing existing engineering courses, the program increases students' marketability to the more than 450 firms that use Alation to seek job opportunities. Cisco, AbbVie, General Mills, Munich Re, Hertz, NASDAQ, Pfizer, Riot Games, Raiffeisen Bank, Salesforce, The Very Group, The University of Virginia, Vattenfall, Virgin Australia, and others are among Alation's customers.
This year, the program welcomed the first foreign university, The University of Stirling in Scotland, and will continue expanding globally. Alation will choose up to four additional academic institutions to join in The Data Intelligence Project in 2023.
Founded in 2012, Alation is an industry leader in enterprise data intelligence solutions such as data search and discovery, data stewardship, data governance, analytics, and digital transformation. It integrates machine learning with human insights to solve even the most challenging data and metadata management issues, with its robust Behavioral Analysis Engine, inbuilt collaborative features, and open interfaces. Alation is employed by nearly 450 businesses, including American Family Insurance, AbbVie, Autozone, Draft Kings, Cisco, Exelon, Finnair, Fifth Third Bank, General Mills, Munich Re, NASDAQ, Pfizer, Parexel, Salesforce, Virgin Australia, and Vistaprint, to drive data culture, enhance decision-making, and achieve business outcomes.
BIG DATA MANAGEMENT, DATA SCIENCE, MACHINE LEARNING
Aimpoint Digital | January 10, 2023
On January 9, 2023, The pioneer in decision intelligence technology, Gurobi Optimization, announced the introduction of version 10 of its popular mathematical optimization software, Gurobi Optimizer. As a result, Aimpoint Digital, an analytics company committed to redefining businesses with data, will be able to use the power of mathematical optimization and prescriptive analytics to unlock client value by utilizing the significant features of Gurobi Optimizer version 10.
Specifically, customers can experience the convenience of the latest gurobipy-pandas wrapper to build optimization models using Pandas data. This open-source project makes it simple and efficient for Pandas users to create mathematical models from data stored in DataFrames and Series, and read solutions back directly as Pandas objects.
Yash Puranik, Principal Data Scientist at Aimpoint Digital, said, "The release of a Pandas API and a native MLflow API is a game changer." He also said, "Many of our clients require comprehensive models that combine the power of machine learning/forecasting methods with optimization for applications such as inventory management and supply chain optimization," In addition, he stated, "Natively integrating Gurobi with the data processing power of Python/Pandas and machine learning model-based predictions helps us develop more efficient and robust solutions for our clients."
(Source – GlobeNewswire)
Aimpoint Digital is built up of top-tier data scientists and operations research professionals that are competent in solving complex challenges such as employee rostering, production scheduling, inventory optimization, and demand allocation in logistics, supply chain, manufacturing, and related industries allocation. By combining their experience in machine learning, data analysis, and optimization, Aimpoint Digital continuously provides decision-makers with dependable decision assistance.
David O'keefe, Ecosystem Director at Gurobi, stated, "In addition to this new model-building feature, Gurobi 10.0 includes the ability to solve even more real-world business problems, even faster and easier than before. We are excited to see how the latest release of the Gurobi Optimizer improves our partner's deployment frameworks and their customers' models."
(Source – GlobeNewswire)
About Gurobi Optimization
Gurobi, the market leader in mathematical optimization software, produces the world's fastest and most powerful mathematical optimization solver, the Gurobi Optimizer, which is used by leading global companies across more than 40 industries to solve complex, real-world problems and make automated decisions that optimize their efficiency and profitability.
About Aimpoint Digital
Aimpoint Digital is an analytics company that leverages data to solve its clients' most challenging use cases, improve the efficiency of value chain processes, and transform consumer experiences. From integrating self-service analytics to implementing AI at scale and modernizing infrastructure environments, they work in transformational domains to enhance the performance of businesses.
BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, BUSINESS STRATEGY
MarkLogic | December 16, 2022
MarkLogic Corporation, a leader in complex data and metadata management and portfolio company of Vector Capital, today announced new features delivered in MarkLogic 11, the latest release of its flagship MarkLogic Server product, that further enhance MarkLogic as a unified data platform with analytics, simplified deployment, management, and auditing—including in the cloud.
Data fuels innovation and growth, but organizations are challenged to create business value from a constant stream of new data arriving in real time and from multiple sources. The MarkLogic data platform enables customers to connect and effectively leverage data and metadata as a single data resource. Data coupled with everything known about it means faster insights that accelerate innovation.
MarkLogic 11 adds features that enable organizations to analyze and integrate multi-model data in new ways, and to make that data more accessible to developers and endpoints. Support for the increasingly popular GraphQL specification, for example, lets organizations expose multi-model data to BI tooling, and enhanced OpenGIS and GeoSPARQL support makes it easier to query — and tap into new workloads for — geospatial data. MarkLogic 11 also improves the platform’s manageability, auditability, and observability.
“MarkLogic 11 is the best data platform for complex data and metadata management, delivering unmatched data agility that will enable customers to get more value from their data and, in turn, make better, more informed decisions. “With the acquisition of Smartlogic last year, we’ve entered a new era for MarkLogic focused on removing complexity and being the single place for breaking down data and knowledge silos."
Jeff Casale, CEO of MarkLogic
MarkLogic 11 builds on the company’s complex data and metadata management capabilities with:
Extended Platform Capabilities: MarkLogic exposes data in a way that's readily usable by existing products. MarkLogic 11 improves interoperability with data ecosystems through support for industry standards such as GraphQL, which eases exposure of multi-model data to BI tooling; OpenGIS and GeoSPARQL, which make it even easier to query geospatial data; and OAuth, which provides a new option for external authentication.
Enhanced Multi-model Analytics: Connecting and managing multi-model data is important, but the value of that data cannot be fully exploited until it’s delivered for consumption to the audiences that need it most. The MarkLogic Optic API, introduced in MarkLogic 9, has been extended in MarkLogic 11, including added capabilities for the delivery of multi-model data to BI tools like Tableau and improved support for large analytics, reporting, geospatial data/analysis, and/or export queries with external sort and joins.
Flexible Deployment and Easier Management: MarkLogic 11 includes tools that help customers manage growing volumes of data by handling larger result sets at query time and using new adaptive memory algorithms. Support for Docker and Kubernetes enables organizations to deploy MarkLogic clusters in cloud-neutral, containerized environments that use best practices to ensure success.
Improved Observability, Auditability, and Manageability: MarkLogic 11 provides enhanced HA with storage failure detection, ensuring availability in the face of storage device/system failures and cloud availability zone failures or brownouts. MarkLogic 11 also enables organizations to monitor the overall health of the system and respond more quickly to failures, and an updated Section 508-compliant UI improves accessibility for all users.
The MarkLogic platform and the improvements introduced in MarkLogic 11 are designed to enable organizations to achieve true data agility that lets you quickly and easily respond to change.
MarkLogic is hosting a virtual launch event on December 15 at 8 a.m. PT to discuss the new features in detail. The recording will be available on demand.
The MarkLogic data platform gives Global 2000 and public sector organizations a faster, trusted way to unlock value from complex data and achieve data agility. The unified data platform enables organizations to securely connect data and metadata, create and interpret meaning, and consume high-quality contextualized data.