DATA SCIENCE

Newgen Software to acquire Number Theory, an AI/ML data science platform company

Newgen Software Technologies Limited | January 21, 2022

Newgen Software, a leading provider of a unified digital transformation platform, is pleased to announce that it is acquiring India-based Number Theory, an AI/ML (artificial intelligence and machine learning) data science platform company, subject to the completion of conditions as stated in the approved Share Purchase Agreement.

Number Theory's platform, AI Studio, brings intuitive AI/ML to every enterprise, while unifying the entire lifecycle of data engineering, from data preparation to model development and monitoring. It empowers both citizen and expert data scientists to work faster and more efficiently, thereby helping in accomplishing key machine learning tasks in just hours or days, not months. This acquisition will further strengthen Newgen's low code digital transformation platform, NewgenONE, with AI/ML modeling and data analytics capabilities.

"Our customers are increasingly looking to leverage data for deeper insights and accelerated growth. Number Theory will bring domain expertise, along with a powerful engine to extract actionable insights in real time. AI/ML projects often get complex, expensive, and not rewarding. What we like about Number Theory's platform is that it is for every enterprise. It lets fusion teams build, deploy, and collaborate on the entire modeling lifecycle in low code and on cloud. We look forward to welcoming the Number Theory team to the Newgen family."

Virender Jeet, CEO, Newgen

"Newgen has developed mission-critical and complex business applications for its customers across the globe, including for enterprises in the banking and insurance space. We felt that Newgen, with its strong customer portfolio and partner ecosystem, is the perfect growth partner. We are looking forward to helping our joint customers utilize their data in the enterprise with full potential using AI/ML technologies," said Rajan Nagina and Tarun Gulyani, co-founders of Number Theory.

About Newgen Software Technologies Limited
Newgen is the leading provider of a unified digital transformation platform with native process automation, content services, and communication management capabilities. Globally, successful enterprises rely on Newgen's industry-recognized low code application platform to develop and deploy complex, content-driven, and customer-engaging business applications on the cloud. From onboarding to service requests, lending to underwriting, and for many more use cases across industries. Newgen unlocks simple with speed and agility.

Spotlight

Being a Big Data and analytics professional is not only well, “sexy”, it is also highly rewarding. Little wonder then that more and more students are viewing the profession with expectations that it will fulfill their professional aspirations. The pay packages that come with a job in this field also adds substantial charm to the role of being a data analyst. Watch this presentation to know the more about the pay packages in detail. Read more at: http://www.dexlabanalytics.com/course...


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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, PERFORMANCE MANAGEMENT

Talend Named a Leader in 2022 Gartner® Magic Quadrant™ for Data Quality Solutions

Talend | November 07, 2022

Talend, a global leader in data integration and data management, today announced it has once again been recognized by Gartner, Inc. as a Leader in data quality solutions in the 2022 Magic Quadrant for Data Quality Solutions 1. This is the fifth consecutive time that Talend has been positioned in the Leaders Quadrant based on the company's ability to execute and completeness of vision. According to Gartner, Inc., "Driven by transition to more augmented data quality features, the market for data quality solutions is further consolidating with adjacent data and analytics markets such as metadata management, governance platforms, data integration tools and master data management (MDM) solutions. As a result, data and analytics (D&A) leaders and practitioners expect seamless interoperability between these products driven by consolidation and sharing of metadata." "The ability to establish a trusted data culture and democratize access to trusted data relies on a collaborative approach to data quality. "We believe that this new recognition as a Leader demonstrates the value Talend brings in supporting organizations to take a proactive and integrated path to healthy data." Jamie Fiorda, CMO, Talend Talend Data Fabric is the only end-to-end data management platform that provides integrated data quality capabilities to guarantee access and usage of trusted and governed data throughout the data life cycle. In the most recent release, the platform adds advanced features for automation and AI-driven augmentation for data enrichment, data profiling, and data remediation, as well as data observability to face the growing complexity of data stacks and the need for proactively managing data quality. In the report, Gartner also notes, "By 2024, 90% of data quality technology buying decisions will focus on ease of use, automation, operational efficiency and interoperability as the critical decision factors." Additionally, "By 2026, 20% of large enterprises will use a single data and analytics governance platform to unify and automate discrete governance programs." Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. GARTNER and Magic Quadrant are registered trademarks and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved. About Talend  Talend, a global leader in data integration and data management, is taking the work out of working with data. Talend offers the only end-to-end platform that combines enterprise-grade data integration, integrity, and governance capabilities to unify data across any cloud, hybrid, or multi-cloud environment. With Talend's no-code and low-code modules, data experts and business users actively collaborate to make data more discoverable, usable, and valuable organization-wide. Over 7,250 customers around the world rely on Talend for healthy data and a healthy business.

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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

Treasure Data Works with Amazon Marketing Cloud to Develop Turn-Key Integration to Enrich Customer Experiences

Treasure Data | October 31, 2022

Treasure Data, an award-winning enterprise customer data platform (CDP), today announced an integration with Amazon Marketing Cloud, a clean room solution by Amazon Ads, to help advertisers better understand audience segments, advertising performance, and streamline insight generation. Treasure Data is the first CDP vendor integrated with Amazon Marketing Cloud. Marketers are increasingly using CDPs to maintain their first party CRM information. At the same time, it is estimated that 80% of advertisers with media budgets of $1 billion or more plan to utilize clean rooms by 2023. To help advertisers acquire more value from their clean room experiences, this seamless integration between Treasure Data's CDP and Amazon Marketing Cloud, enables enterprises to develop richer and more timely insights for optimized marketing, advertising, and campaign investments. "As a pioneer in the CDP industry, Treasure Data is honored to be the first customer data platform to have completed this unique integration with Amazon Marketing Cloud. "The integration helps our customers to increase the overall effectiveness of their marketing and advertising campaigns with this global and privacy-safe solution." John Baudino, Vice President of Partnerships at Treasure Data Treasure Data customers using Amazon Ads for campaigns will now be able to easily send curated audiences to Amazon Marketing Cloud for enhanced and aggregated and anonymized insights such as audiences' in-market groups, lifestyle cohorts, and brand engagement patterns. The enriched segments derived from Amazon Marketing Cloud insights can then be used to fine-tune audience strategy for an advertiser's Amazon DSP campaigns. Audience insights returned are aggregated and anonymous. Features enabled through the integrations will be available to customers through the Treasure Data Marketplace. About Treasure Data Treasure Data Customer Data Cloud helps enterprises use all of their customer data to improve campaign performance, achieve operational efficiency, and drive business value with connected customer experiences. Our suite of customer data platform solutions integrates customer data, connects identities in unified customer profiles, applies privacy, and makes insights and predictions available for Marketing, Service, Sales and Operations to drive personalized engagement and improve customer acquisition, sales, and retention.

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DATA VISUALIZATION

Opaque Systems, Pioneer in Confidential Computing, Unveils the First Multi-Party Confidential AI and Analytics Platform

Opaque Systems | December 08, 2022

Opaque Systems, the pioneers of secure multi-party analytics and AI for Confidential Computing, today announced the latest advancements in Confidential AI and Analytics with the unveiling of its platform. The Opaque platform, built to unlock use cases in Confidential Computing, is created by the inventors of the popular MC2 open source project which was conceived in the RISELab at UC Berkeley. The Opaque Platform uniquely enables data scientists within and across organizations to securely share data and perform collaborative analytics directly on encrypted data protected by Trusted Execution Environments (TEEs). The platform further accelerates Confidential Computing use cases by enabling data scientists to leverage their existing SQL and Python skills to run analytics and machine learning while working with confidential data, overcoming the data analytics challenges inherent in TEEs due to their strict protection of how data is accessed and used. The Opaque platform advancements come on the heels of Opaque announcing its $22M Series A funding, Confidential Computing – projected to be a $54B market by 2026 by the Everest Group – provides a solution using TEEs or 'enclaves' that encrypt data during computation, isolating it from access, exposure and threats. However, TEEs have historically been challenging for data scientists due to the restricted access to data, lack of tools that enable data sharing and collaborative analytics, and the highly specialized skills needed to work with data encrypted in TEEs. The Opaque Platform overcomes these challenges by providing the first multi-party confidential analytics and AI solution that makes it possible to run frictionless analytics on encrypted data within TEEs, enable secure data sharing, and for the first time, enable multiple parties to perform collaborative analytics while ensuring each party only has access to the data they own. "Traditional approaches for protecting data and managing data privacy leave data exposed and at risk when being processed by applications, analytics, and machine learning (ML) models, The Opaque Confidential AI and Analytics Platform solves this challenge by enabling data scientists and analysts to perform scalable, secure analytics and machine learning directly on encrypted data within enclaves to unlock Confidential Computing use cases." -Rishabh Poddar, Co-founder & CEO, Opaque Systems. Strict privacy regulations result in sensitive data being difficult to access and analyze, said a Data Science Leader at a top US bank. New multi-party secure analytics and computational capabilities and Privacy Enhancing Technology from Opaque Systems will significantly improve the accuracy of AI/ML/NLP models and speed insights. The Opaque Confidential AI and Analytics Platform is designed to specifically ensure that both code and data within enclaves are inaccessible to other users or processes that are collocated on the system. Organizations can encrypt their confidential data on-premises, accelerate the transition of sensitive workloads to enclaves in Confidential Computing Clouds, and analyze encrypted data while ensuring it is never unencrypted during the lifecycle of the computation. Key capabilities and advancements include: Secure, Multi-Party Collaborative Analytics – Multiple data owners can pool their encrypted data together in the cloud, and jointly analyze the collective data without compromising confidentiality. Policy enforcement capabilities ensure the data owned by each party is never exposed to other data owners. Secure Data Sharing and Data Privacy – Teams across departments and across organizations can securely share data protected in TEEs while adhering to regulatory and compliance policies. Use cases requiring confidential data sharing include financial crime, drug research, ad targeting monetization and more. Data Protection Throughout the Lifecycle – Protects all sensitive data, including PII and SHI data, using advanced encryption and secure hardware enclave technology, throughout the lifecycle of computation—from data upload, to analytics and insights. Multi-tiered Security, Policy Enforcement, and Governance – Leverages multiple layers of security, including Intel® Software Guard Extensions, secure enclaves, advanced cryptography and policy enforcement to provide defense in depth, ensuring code integrity, data, and side-channel attack protection. Scalability and Orchestration of Enclave Clusters – Provides distributed confidential data processing across managed TEE clusters and automates orchestration of clusters overcoming performance and scaling challenges and supports secure inter-enclave communication. Confidential Computing is supported by all major cloud vendors including Microsoft Azure, Google Cloud and Amazon Web Services and major chip manufacturers including Intel and AMD. About Opaque Systems: Commercializing the open source MC2 technology invented at UC Berkeley by its founders, Opaque System provides the first collaborative analytics and AI platform for Confidential Computing. Opaque uniquely enables data to be securely shared and analyzed by multiple parties while maintaining complete confidentiality and protecting data end-to-end. The Opaque Platform leverages a novel combination of two key technologies layered on top of state-of-the-art cloud security—secure hardware enclaves and cryptographic fortification. This combination ensures that the overall computation is secure, fast, and scalable. The MC2 technology and Opaque innovation has already been adopted by several organizations, such as Ant Group, IBM, Scotiabank, and Ericsson.

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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

Neo4j Announces General Availability of its Next-Generation Graph Database Neo4j 5

Neo4j | November 09, 2022

Neo4j®, the leader in graph technology, announced today the general availability of Neo4j 5, the next-generation cloud-ready graph database. Neo4j 5 widens the performance lead of native graphs over traditional databases while providing easier scale-out and scale-up across any deployment, whether on-premises, in the cloud, hybrid, or multi cloud. The result empowers organizations to more quickly create and deploy intelligent applications at large scale and achieve greater value from their data. "Graph technology adoption is accelerating as organizations seek better ways to leverage connections in data to solve complex problems at scale," said Emil Eifrem, CEO and Co-founder of Neo4j. "We designed Neo4j 5 to deliver the type of scalability, agility, and performance that enable organizations to push the envelope on what's possible for their data and their business." Neo4j 5's specific benefits include: Query language improvements and up to 1000x faster query performance. New syntax makes it even easier to write complex pattern-matching queries. Improvements in indexes, query planning, and runtime make Neo4j 5 the fastest implementation ever. For example, multi-hop queries can now be executed up to 1000x faster than Neo4j 4. These improvements are above and beyond the already exponentially faster Neo4j's graph results over traditional databases. Together, these benefits enable more real-time results at scale. Automated scale-out across hundreds of machines, enabling self-managed customers to grow and handle a massive number of queries with little manual effort and significantly less infrastructure cost. This benefit is achieved via new and enhanced features like Autonomous Clustering and Fabric, enabling organizations to efficiently operate very large graphs and scale out in any environment. Neo4j 5 also automates the allocation and reassignment of computing resources. Continuous updates across all deployments, whether in the cloud, multi-cloud, hybrid, or on-prem. Neo4j 5 ensures ongoing compatibility between self-managed and Aura workloads managed by Neo4j. In addition, a new tool called Neo4j Ops Manager provides a unified single pane for easy monitoring and management of global deployments, giving customers full control over their environments. Neo4j 5 performance lead sets a new industry bar More than 1,300 organizations trust Neo4j's technology to power mission-critical applications while maintaining performance, security, and data integrity. Neo4j 5 extends the company's leadership even further at a time when graph adoption is exploding. "Switching to Neo4j was a huge win for us," said David Fox, Senior Software Engineer at Adobe and Co-founder & Engineering Lead at devRant. "We've seen significant performance improvements, and a great reduction in complexity, storage, and infrastructure costs. Staff now focus on improving the infrastructure, versus spending time frustratingly micro-managing it." For more information To learn more about Neo4j 5, visit the Neo4j 5 web page, read "Scale New Heights with Neo4j 5 Graph Database," or register for the following sessions at the upcoming online developer conference NODES 2022: "What's New in Neo4j 5 and Aura 5 for Developers" and "Introducing Neo4j 5 for Administrators." About Neo4j Neo4j is the world's leading graph data platform. We help organizations – including Comcast, ICIJ, NASA, UBS, and Volvo Cars – capture the rich context of the real world that exists in their data to solve challenges of any size and scale. Our customers transform their industries by curbing financial fraud and cybercrime, optimizing global networks, accelerating breakthrough research, and providing better recommendations. Neo4j delivers real-time transaction processing, advanced AI/ML, intuitive data visualization, and more.

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Spotlight

Being a Big Data and analytics professional is not only well, “sexy”, it is also highly rewarding. Little wonder then that more and more students are viewing the profession with expectations that it will fulfill their professional aspirations. The pay packages that come with a job in this field also adds substantial charm to the role of being a data analyst. Watch this presentation to know the more about the pay packages in detail. Read more at: http://www.dexlabanalytics.com/course...

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