BIG DATA MANAGEMENT

Aryballe Launches New Advanced Analytics Toolset

Aryballe | August 09, 2022 | Read time : 02:50 min

Aryballe Launches New Advanced Analytics Toolset
Aryballe, the pioneer in digital olfaction, today announced the launch of its Advanced Analytics toolset. Available exclusively in the cloud, Advanced Analytics is the first product in the global Aryballe SaaS platform, and is designed to support and provide remote access to data acquired using Aryballe NeOse Advance and Amplifier.

Digital olfaction is catching the attention of manufacturers across an abundance of industries - from automotive to perfume and fragrance to consumer-packaged goods. It is increasingly becoming a tool for companies to ensure quality and consistency of their products and differentiate themselves from the competition.

Through the use of tools such as Aryballe’s NeOse Advance with Advanced Analytics, users will gain improved sensor data analysis, which allows them to go beyond standard intensity and discrimination metrics. They will have access to higher-level metrics, such as chemical composition estimation via advanced machine learning, and advanced dataset filtering and outlier detection. Analyte zone selector is also available for customizing the window of sensor responses to analyze, which gives users more flexibility for complex samples.

“It’s clearer than ever before that when it comes to optimizing odor and taste within the food industry, data analytics is power,” said Florian Viton, Vice President, R&D Management Executive at CJ CheilJedang. “Aryballe’s advanced analytics capabilities enable us to analyze digital odor data better, helping us enhance our digital transformation efforts and provide our consumers with the highest quality products.”

Engineered to assist in chemical and olfactory analysis laboratories and product development, Aryballe’s Advanced Analytics solution provides users with a robust digital olfaction technology evaluation. It can be applied to three core scenarios:

  • Improved assessment of measured samples for database building
  • Enhanced flexibility for discriminating product samples
  • Advanced metrics around limit of detection for intensity-based decision making

“At Aryballe we are helping companies realize the power of the senses and introducing them to digital olfaction as a way to improve their manufacturing and quality control processes. “The introduction of Advanced Analytics will empower users to more quickly and better understand the data available to them and therefore apply it to important business decisions.”

Sam Guilaumé, Aryballe CEO

About Aryballe
Based in Grenoble, France and founded in 2014, Aryballe combines biochemistry, advanced optics and machine learning to mimic the human sense of smell. The company’s premier product offering, NeOse Advance, uses silicon photonics technology to detect, record and recognize odor data, which powers improved decision making for R&D, quality control, manufacturing and end-user experiences. Aryballe Suite, the company’s cloud-enabled software, enables customers to intuitively access and customize analysis of odors based on their unique needs. With operations in France, South Korea and the USA, Aryballe works with global leaders in automotive, food manufacturing and flavor & fragrances.

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BIG DATA MANAGEMENT

IBM Aims to Capture Growing Market Opportunity for Data Observability with Databand.ai Acquisition

IBM | July 07, 2022

IBM today announced it has acquired Databand.ai, a leading provider of data observability software that helps organizations fix issues with their data, including errors, pipeline failures and poor quality — before it impacts their bottom-line. Today's news further strengthens IBM's software portfolio across data, AI and automation to address the full spectrum of observability and helps businesses ensure that trustworthy data is being put into the right hands of the right users at the right time. Databand.ai is IBM's fifth acquisition in 2022 as the company continues to bolster its hybrid cloud and AI skills and capabilities. IBM has acquired more than 25 companies since Arvind Krishna became CEO in April 2020. As the volume of data continues to grow at an unprecedented pace, organizations are struggling to manage the health and quality of their data sets, which is necessary to make better business decisions and gain a competitive advantage. A rapidly growing market opportunity, data observability is quickly emerging as a key solution for helping data teams and engineers better understand the health of data in their system and automatically identify, troubleshoot and resolve issues, like anomalies, breaking data changes or pipeline failures, in near real-time. According to Gartner, every year poor data quality costs organizations an average $12.9 million. To help mitigate this challenge, the data observability market is poised for strong growth.1 Data observability takes traditional data operations to the next level by using historical trends to compute statistics about data workloads and data pipelines directly at the source, determining if they are working, and pinpointing where any problems may exist. When combined with a full stack observability strategy, it can help IT teams quickly surface and resolve issues from infrastructure and applications to data and machine learning systems. Databand.ai's open and extendable approach allows data engineering teams to easily integrate and gain observability into their data infrastructure. This acquisition will unlock more resources for Databand.ai to expand its observability capabilities for broader integrations across more of the open source and commercial solutions that power the modern data stack. Enterprises will also have full flexibility in how to run Databand.ai, whether as-a-Service (SaaS) or a self-hosted software subscription. The acquisition of Databand.ai builds on IBM's research and development investments as well as strategic acquisitions in AI and automation. By using Databand.ai with IBM Observability by Instana APM and IBM Watson Studio, IBM is well-positioned to address the full spectrum of observability across IT operations. For example, Databand.ai capabilities can alert data teams and engineers when the data they are using to fuel an analytics system is incomplete or missing. In common cases where data originates from an enterprise application, Instana can then help users quickly explain exactly where the missing data originated from and why an application service is failing. Together, Databand.ai and IBM Instana provide a more complete and explainable view of the entire application infrastructure and data platform system, which can help organizations prevent lost revenue and reputation. "Our clients are data-driven enterprises who rely on high-quality, trustworthy data to power their mission-critical processes. When they don't have access to the data they need in any given moment, their business can grind to a halt. "With the addition of Databand.ai, IBM offers the most comprehensive set of observability capabilities for IT across applications, data and machine learning, and is continuing to provide our clients and partners with the technology they need to deliver trustworthy data and AI at scale." Daniel Hernandez, General Manager for Data and AI, IBM Data observability solutions are also a key part of an organization's broader data strategy and architecture. The acquisition of Databand.ai further extends IBM's existing data fabric solution by helping ensure that the most accurate and trustworthy data is being put into the right hands at the right time – no matter where it resides. "You can't protect what you can't see, and when the data platform is ineffective, everyone is impacted –including customers," said Josh Benamram, Co-Founder and CEO, Databand.ai. "That's why global brands such as FanDuel, Agoda and Trax Retail already rely on Databand.ai to remove bad data surprises by detecting and resolving them before they create costly business impacts. Joining IBM will help us scale our software and significantly accelerate our ability to meet the evolving needs of enterprise clients." Headquartered in Tel Aviv, Israel, Databand.ai employees will join IBM Data and AI, further building on IBM's growing portfolio of Data and AI products, including its IBM Watson capabilities and IBM Cloud Pak for Data. Financial details of the deal were not disclosed. The acquisition closed on June 27, 2022. About Databand.ai Databand.ai is a product-driven technology company that provides a proactive data observability platform, which empowers data engineering teams to deliver reliable and trustworthy data. Databand.ai removes bad data surprises such as data incompleteness, anomalies, and breaking data changes by detecting and resolving issues before they create costly business impacts. Databand.ai's proactive approach ties into all stages of your data pipelines, beginning with your source data, through ingestion, transformation, and data access. Databand.ai serves organizations throughout the globe, including some of the world's largest companies in entertainment, technology, and communications. Our focus is on enabling customers to extract the maximum value from their strategic data investments. Databand.ai is backed by leading VCs Accel, Blumberg Capital, Lerer Hippeau, Differential Ventures, Ubiquity Ventures, Bessemer Venture Partners, Hyperwise, and F2. About IBM IBM is a leading global hybrid cloud and AI, and business services provider, helping clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Nearly 3,800 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM's hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently, and securely. IBM's breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and business services deliver open and flexible options to our clients. All of this is backed by IBM's legendary commitment to trust, transparency, responsibility, inclusivity, and service.

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BUSINESS INTELLIGENCE,BIG DATA MANAGEMENT

ActionIQ Launches HybridCompute, Empowering IT Leaders to Build Composable Customer Data Stacks

ActionIQ | September 14, 2022

ActionIQ, the leader in customer experience (CX) solutions that deliver actionable insight from customer data, today announced the launch of HybridCompute, a new feature of the AIQ InfiniteCompute technology that removes the requirement to replicate and move data, allowing enterprise IT teams to unbundle their customer data stack and take full control over where data is stored and queried. The AIQ CX Hub with HybridCompute now seamlessly integrates directly on top of cloud data lakes, helping enterprise IT teams maximize the value of existing technology investments, while empowering business users with drag and drop simplicity. . InfiniteCompute is the data infrastructure technology that delivers unlimited computational power, making it possible for AIQ to manage and process more data than any other solution available. And with the addition of HybridCompute, InfiniteCompute can query data stored across multiple systems, enabling analytics anywhere data lives and post-processing that provides a consistent view of data across the entire AIQ CX Hub. "AIQ's mission has always been to empower IT and business leaders to orchestrate personalized customer experiences at scale, and we've approached innovations in infrastructure as a key enabler to that. "However, a lot has changed in data infrastructure space over the last 8 years since we started on that mission. Many companies have made investments to consolidate their customer data into a cloud data lake, and the gap to leveraging that data is less on data unification and more on simplified business access." Justin DeBrabant, Senior Vice President of Product at AIQ "We want to meet our customers wherever they are on their data infrastructure journey, and help them generate greater value on those investments by providing them scalable storage and compute infrastructure when they need it, or the ability to query the data where it is with HybridCompute if they've already done the work of data unification. And importantly, they won't need to choose all of one or the other, as InfiniteCompute will span seamlessly across any of these systems," he continued. The AIQ CX Hub with HybridCompute gives enterprise IT teams the ability to unbundle their customer data stack, significantly streamlining resources, increasing flexibility, generating greater value on IT investments and driving accelerated CX transformation. "By 2024, 80% of CIOs surveyed will list modular business redesign through composability, as a top-five reason for accelerated business performance," cites "Predicts 2022: Composable Applications Accelerate Digital Business" a Gartner® report published Dec. 1, 2021. The report goes on to say, "Composable digital business will use digital resources to cope with the rapid pace of business change, unfamiliar risks, diversifying customer expectations, and business, economic, societal and other uncertainties." See also related announcements today and this week on partnerships with Databricks, Snowflake and Teradata to integrate HybridCompute and maximize value of existing investments. Enterprise brands such as Autodesk, M&T Bank, The New York Times, Neiman Marcus, Hertz and many more use the AIQ CX Hub to drive growth through extraordinary customer experiences. About ActionIQ AIQ brings order to CX chaos. Our Customer Experience Hub empowers everyone to be a CX champion by giving business teams the freedom to explore and action on customer data while helping technical teams extend and enhance existing technology investments to manage data governance, costs and performance. Enterprise brands such as Autodesk, M&T Bank, The New York Times, Neiman Marcus, Hertz and many more use our CX Hub to drive growth through extraordinary customer experiences.

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BUSINESS INTELLIGENCE,BIG DATA MANAGEMENT,DATA ARCHITECTURE`

SAS and SingleStore deliver next-generation data and analytics architecture

SAS | August 23, 2022

Analytics leader SAS has joined forces with SingleStore to help organizations remove barriers to data access, maximize performance and scalability, and uncover key data-driven insights. SAS® Viya® with SingleStore enables the use of SAS analytics and AI technology on data stored in SingleStore's cloud-native real-time database. The integration provides flexible, open access to curated data to help accelerate value for cloud, hybrid and on-premises deployments. "The economic costs of storage and infrastructure, as well as the complexity of data integration and manual processing, often obstruct today's technology leaders from making decisions quickly and effectively," said Carl Olofson, Research Vice President of Data Management Software at IDC. "By moving more intelligence capabilities closer to their data, organizations can greatly improve productivity and performance, reduce economic costs and accelerate data-driven decisions." Through SingleStore's data compression and SAS' analytic performance, the companies aim to reduce the complexity of data management and integration, as well as the computational time required to train sophisticated models. "For many organizations, repetitive data movement, manual processes and isolated data islands make it difficult to quickly derive value from analytics. "SAS Viya with SingleStore delivers a game-changing set of capabilities that simplifies and accelerates the iterative data and analytics loops to improve speed-to-decision and unlock that critical value." Bryan Harris, Chief Technology Officer at SAS SAS Viya with SingleStore enables the advanced AI and machine learning analytics of SAS to be executed directly against relational database tables in SingleStore. By delivering this capability, SAS and SingleStore will considerably reduce customers' technical debt of duplicative data stores, helping improve analytic workload performance and ultimately uncover key competitive advantages. "The integration of SingleStore's hybrid, multi-cloud database into the parallel analytics engine, SAS Viya, will dramatically improve performance, reduce cost, and enable real-time applications for organizations," said Raj Verma, CEO of SingleStore. "Personally, it is a privilege to partner with the company that practically invented analytics, AI and ML. I have long admired SAS in terms of its technology, culture and leadership, and to partner with them as they reinvent the space is both an honor and an exciting opportunity." In December 2020, SingleStore announced a strategic relationship with SAS. Learn more about the SAS Viya with SingleStore integration, which is available now, at sas.com/viya-singlestore and singlestore.com/partners/sas-viya/. About SingleStore SingleStore provides an ultra-fast modern cloud database designed for the data-intensive era. SingleStore unifies all data by combining transactions and analytics into one powerful distributed, multi-model database that delivers exceptional performance while reducing cost and complexity. Organizations across the globe use SingleStore to build modern applications, to deliver fast analytics, and to eliminate database sprawl. SingleStore is available on all the leading clouds as SaaS, hybrid, and on-premises deployments. About SAS SAS is the leader in analytics. Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence.

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BIG DATA MANAGEMENT

Sesame Software Announces New Data Connector for HubSpot, Empowering Users to Simplify Data Access and Accelerate Insights

Sesame Software | August 12, 2022

Sesame Software, the innovative leader in Enterprise Data Management and creator of Relational Junction, today announced the addition of a new data source connector for HubSpot. With Relational Junction for HubSpot, you can easily connect HubSpot with cloud applications and relational databases to the data warehouse of your choice. This connector empowers data teams to improve data quality, eliminate silos, and uncover new insights to support data-driven decision-making. HubSpot is a leading platform for inbound marketing, sales, and customer relationship management. With HubSpot, you can get exhaustive data on your marketing efforts and Relational Junction helps you take control of that data. Relational Junction is a no-code data integration and replication platform able to easily connect HubSpot and a wide variety of other data sources to your various data destinations. Thanks to its scalable architecture and automation, you can easily grow your data without the need for labor-intensive processes, including manual data entry, data mapping, and maintenance. As a result, you have the data you need, continuously updated and all in one place, allowing for you to provide better customer experiences with more targeted and informed campaigns. Connect Your HubSpot Data with Your Data Warehouse and Business Intelligence Tool Relational Junction supports delivery to a wide range of cloud data storage and on-prem data warehouses, allowing you to consolidate all of your data into a single location for archiving, reporting, analytics, and more. In a matter of minutes, you can connect your Hubspot marketing and sales data with other data sources. Send your Hubspot data to feed your BI, your data warehouse, or your custom analytics stack and see a full view of your leads, analytics, sales, and customer service information. Relational Junctions Key Benefits: Easily access, discover, and connect HubSpot data with adjacent enterprise systems — such as databases, ERP and CRM systems, and custom applications Replicate HubSpot data into your data warehouse quickly and with no coding necessary Move data at the fastest possible speed with hyper-threaded high-volume data connectors Keep data fresh with automated data syncs for timely insights and accurate reporting About Sesame Software Sesame Software is the Enterprise Data Management leader, delivering data rapidly for enhanced reporting and analytics. Sesame Software's patented Relational Junction data platform offers superior solutions for data warehousing, integration, backup, and compliance to fit your business needs. Quickly connect to SaaS, on-premise, and cloud applications for accelerated insights.

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Spotlight

It is widely recognised that laboratory data is at the heart of healthcare decisions. How do we harness the information generated in the lab for value-added healthcare delivery? Pathology databases can be considered a repository of established knowledge and a source for new knowledge from which to build a framework for business intelligence and clinical decision making.

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