Big Data Management
PR Newswire | September 27, 2023
Congruity360, a leading unstructured data management and risk mitigation provider, announces the addition of data mobility in Enterprise Insights.
As unstructured data grows at the annual rate of 55% to 65% and accounts for more than 80% of all enterprise data, businesses must find a way to identify, classify and move data intelligently and automatically during its lifecycle. As enterprises grow, their valuable data must mature with their business. This may require a journey to the cloud, SLA changes which optimize storage costs, classification to mitigate risk, and moving the right data to additional key AI platform initiatives.
A simple, scalable, high-performance data classification engine, Enterprise Insights delivers next-generation data lifecycle management for storage optimization, security and risk optimization, and IT business optimization.
Enterprise Insights Approach to Successful Data Optimization:
Identify – Securely analyze PBs of unstructured data across on premises (NAS & object) and cloud (files/objects & SaaS) sources by harnessing the power of the platform's rapid insights and auto-discover technologies, which can reduce data identification times by 1,000%.
Classify – Quickly identify key client data attributes for cost savings, risk mitigation, and business impact with simple to consume dashboards and drill down capabilities.
Review – Confidently create and take actions by leveraging the comprehensive search engine to quickly find and preview data for movement without ever leaving the platform.
Remediate – Seamlessly take action (migrate and tier) on classified data to ensure it's properly protected, optimally stored, and most effectively serving the business.
Enterprise Insights offers three use case-driven insight analysis modules:
Storage and Migration Optimization – Insights into over 35 file data attributes including systems' aged, stale, obsolete, redundant, trivial, and types of systems files.
Business Optimization – Insight into and classification by business units' or cost centers' aged, stale, obsolete, redundant, trivial, and types of files.
Data Security and Risk Optimization – Insights into files containing PII and SPII, financial, legal, security, and risk data, as well as open shares and other network & storage security vulnerabilities.
By leveraging Enterprise Insights, clients can classify data for simple and secure migration both on premise and in the cloud. Equally important is Insights data tiering capabilities, enabling users to match data storage costs to data usage.
Powered by the Classify360 Platform, Enterprise Insights' secure hybrid approach to data analysis scales capabilities to exabyte levels at unmatched speed. Enterprise Insights is the industry's most powerful weapon to tackle the costs, time, and complexity of cloud migration projects, backup modernization, storage tiering, hardware refresh, and security posture management. By providing users with dashboards highlighting their existing storage costs and risks, Enterprise Insights frees clients from hidden, legacy, CapEx and OpEx expenditures, performance, and scalability bottlenecks while discovering and acting on sensitive and risk data.
Unstructured data insanity is treating all data equally with zero insights into its business impact, said Brian Davidson, Chief Executive Officer and Managing Partner of Congruity360. Enterprise Insights is the first step in implementing optimized data lifecycle management. With historically high data growth and new business uses for unstructured data, it is essential to attack the costs and risks inherent in unmanaged data. Our customers have realized 7-10x returns on their data lifecycle management implementations while reducing risk in an auditable compliance framework. As AI continues to gain steam, don't overpay by moving useless data to your expensive AI platforms.
The Classify360 Platform is comprehensive, simple to implement, scale, and operate. Businesses leverage the Classify360 Platform for unstructured data discovery, classification, business workflows, remediation actions, and insightful reporting. Congruity360 continues to tackle additional data governance challenges through innovations to the Classify360 Platform to continue delivering revolutionary data governance and classification, at scale, to the enterprise world.
ABOUT CONGRUITY360
Congruity360 delivers the only data life cycle management solution built on a foundation of classification, by expert data storage engineers alongside expert data privacy consultants. The Classify360 Platform is easy to implement, requires no outside consultants, and quickly analyzes your data at the petabyte scale in days, not weeks or months.
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Big Data Management
Microsoft | September 22, 2023
AI models rely heavily on vast data volumes for their functionality, thus increasing risks associated with mishandling data in AI projects.
Microsoft's AI research team accidentally exposed 38 terabytes of private data on GitHub.
Many companies feel compelled to adopt generative AI but lack the expertise to do so effectively.
Artificial intelligence (AI) models are renowned for their enormous appetite for data, making them among the most data-intensive computing platforms in existence. While AI holds the potential to revolutionize the world, it is utterly dependent on the availability and ingestion of vast volumes of data.
An alarming incident involving Microsoft's AI research team recently highlighted the immense data exposure risks inherent in this technology. The team inadvertently exposed a staggering 38 terabytes of private data when publishing open-source AI training data on the cloud-based code hosting platform GitHub. This exposed data included a complete backup of two Microsoft employees' workstations, containing highly sensitive personal information such as private keys, passwords to internal Microsoft services, and over 30,000 messages from 359 Microsoft employees. The exposure was a result of an accidental configuration, which granted "full control" access instead of "read-only" permissions. This oversight meant that potential attackers could not only view the exposed files but also manipulate, overwrite, or delete them.
Although a crisis was narrowly averted in this instance, it serves as a glaring example of the new risks organizations face as they integrate AI more extensively into their operations. With staff engineers increasingly handling vast amounts of specialized and sensitive data to train AI models, it is imperative for companies to establish robust governance policies and educational safeguards to mitigate security risks.
Training specialized AI models necessitates specialized data. As organizations of all sizes embrace the advantages AI offers in their day-to-day workflows, IT, data, and security teams must grasp the inherent exposure risks associated with each stage of the AI development process. Open data sharing plays a critical role in AI training, with researchers gathering and disseminating extensive amounts of both external and internal data to build the necessary training datasets for their AI models. However, the more data that is shared, the greater the risk if it is not handled correctly, as evidenced by the Microsoft incident. AI, in many ways, challenges an organization's internal corporate policies like no other technology has done before. To harness AI tools effectively and securely, businesses must first establish a robust data infrastructure to avoid the fundamental pitfalls of AI.
Securing the future of AI requires a nuanced approach. Despite concerns about AI's potential risks, organizations should be more concerned about the quality of AI software than the technology turning rogue.
PYMNTS Intelligence's research indicates that many companies are uncertain about their readiness for generative AI but still feel compelled to adopt it. A substantial 62% of surveyed executives believe their companies lack the expertise to harness the technology effectively, according to 'Understanding the Future of Generative AI,' a collaboration between PYMNTS and AI-ID.
The rapid advancement of computing power and cloud storage infrastructure has reshaped the business landscape, setting the stage for data-driven innovations like AI to revolutionize business processes. While tech giants or well-funded startups primarily produce today's AI models, computing power costs are continually decreasing. In a few years, AI models may become so advanced that everyday consumers can run them on personal devices at home, akin to today's cutting-edge platforms. This juncture signifies a tipping point, where the ever-increasing zettabytes of proprietary data produced each year must be addressed promptly. If not, the risks associated with future innovations will scale up in sync with their capabilities.
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Business Intelligence
Business Wire | October 04, 2023
Wiiisdom, the pioneer in AnalyticsOps, today announced Wiiisdom Ops for Power BI, a new governance offering designed to deliver trusted data and analytics at scale. This SaaS-based solution, part of the AnalyticsOps portfolio from Wiiisdom, unlocks and automates new testing capabilities and integrated BI content management workflows for Microsoft Power BI.
Data and analytics governance is a critical enabler of business success, yet many people are still spending the majority of their time finding and resolving errors. Ventana Research predicts that through 2025, governance issues will remain a significant concern for more than one-half of organizations, limiting the deployment and therefore the realized value of analytics investments.
Our research shows two-thirds of organizations consider it very important to improve their data governance and only half of are governing their analytic objects, said David Menninger, SVP & Research Director, Ventana Research. Analytical operations solves this challenge by automating analytics governance, allowing all stakeholders within an organization to mitigate risks and make data-driven decisions. The AnalyticsOps portfolio of products from Wiiisdom, including the new solution, Wiiisdom Ops for Power BI, helps to ensure data is accurate, up-to-date, and consistent for trusted analyses.
Wiiisdom is on a mission to simplify and automate governance for analytics so decision-makers have quality, trusted data that they can use for decision-making. By streamlining testing, deploying, and monitoring as an integrated workflow across the entire organization, data leaders can provide timely insights that will drive value to their business, without sacrificing quality and trust.
“With more than 15 years of experience solving the toughest business intelligence challenges, we have a unique understanding of the problems that today’s data leaders face,” said Sebastien Goiffon, Wiiisdom Founder and CEO. “The launch of Wiiisdom Ops for Power BI is another step in our mission to minimize risk and increase trust in an organization’s data so business leaders across the globe can confidently make data-driven decisions.”
Wiiisdom Ops for Power BI automates dataset and report testing and streamlines analytics governance workflows, so organizations can easily validate datasets and trust that reports are accurate. The new offering allows users to:
Test and deploy content at scale: improve productivity and increase confidence with cloud-native, automated testing for all Power BI content across an organization;
Catch errors to minimize risk: build and run statistical validations, value checks, regression tests, and more to identify errors, and then document test results to comply with business and regulatory requirements; and
Build trust in data and analytics: ensure content is accurate and reliable so organizations can maximize the value of Microsoft Power BI investment and drive stakeholder adoption across the enterprise.
The introduction of Wiiisdom Ops for Power BI builds on the tremendous traction that Wiiisdom has achieved over the last 12 months. The company continues to attract top talent, adding several new go-to-market leaders from Tableau, including Michael Holcomb, VP, Customer Success and Jeremy Blaney, VP, Product Marketing, who deeply understand modern BI and customer pain points. Additionally, the company introduced a new partner program that brings together data and analytics consulting partners and world-class resellers to further scale the business.
Wiiisdom Ops for Power BI, which was unveiled at the Microsoft Power Platform Conference in Las Vegas, is available now directly and on Microsoft AppSource and Microsoft Azure Marketplace. To learn more about Wiiisdom Ops for Power BI, please check out the blog post or visit: https://wiiisdom.com/wiiisdom-ops/power-bi/
About Wiiisdom
Wiiisdom is the pioneer in AnalyticsOps, building no-code, enterprise-grade solutions that simplify governance for analytics and business intelligence platforms like Tableau, Microsoft Power BI, and SAP BusinessObjects. The company offers automated BI testing capabilities and integrated workflows for content lifecycle management that make it easy to comply with governance policies at scale. For more than 15 years, Wiiisdom's solutions have helped organizations of every type, including Fortune 100 companies, build trust in data and analytics, ensuring leaders can make confident data-driven decisions. Learn more at Wiiisdom.com.
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