Big Data Management, Business Strategy, Data Science

Tredence Unveils ATOM.AI at NRF 2023 for Retailers and CPGs

Tredence Unveils ATOM.AI at NRF 2023 for Retailers and CPGs

On 16 January 2023, Tredence, a global data science and AI solutions provider, announced the launch of an intelligently engineered platform, ATOM.AI. The platform is an end-to-end AI accelerator that accelerates data and analytics modernization.

The announcement to launch ATOM.AI was made at the National Retail Federation (NRF), the leading retail industry show, for retailers and consumer goods companies.

ATOM.AI assists industries in data transformation into winning results by reducing the time to value by fifty percent. This is possible with the platform's advanced AI/ML capabilities, pre-built feature stores, technical notebooks, deep data sets, and integrations with third parties.

At NRF, Tredence will launch ATOM.AI, which powers the deployment and development of retail and CPG-centric AI applications 50% faster. The solution is built on the Databricks Lakehouse Platform.

ATOM.AI is a data and AI platform powered by leading hyperscales which consists of five modules designed to drive efficiency AI solution development and deployment phase

  • Data Works- to harmonize external and internal data and build a comprehensive feature store
  • Algo Works - to accelerate ML model development and enhance algorithm performance
  • UI/UX Works - to speed up application design with pre-built UI/UX templates
  • Solution Works - pre-built AI/ML solutions for large industries
  • Automation Works - integrates, orchestrates, deploys, and scales AI

Soumendra Mohanty, Chief Strategy Officer, Tredence, said, "Enterprises across all industries are examining ways to embed AI into their core business processes. However, only 53 percent of AI projects make it from prototype to production. In contrast to the previous technology transformations, AI is vastly different." He added, "We are dealing with a nonlinear condition here. ATOM.AI equips companies to put AI at the center of their transformation strategy while also delivering on our last-mile AI mission. With ATOM.AI, Tredence places a heavy emphasis on ROI."

(Source: PR NewsWire)

About Tredence

Tredence is a worldwide provider of data science solutions aiming to address AI's last-mile challenge. The gap between value realization and insight creation defines the last mile. Tredence has been acknowledged as a leader and a great place to work-certified in the Forrester WaveTM: Customer Analytics Services. The company is based in San Jose (California) and has offices in Foster City, Chicago, London, Toronto, and Bangalore.

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Devo Security Data Platform Attains FedRAMP Authorization

Devo | January 09, 2024

Devo Technology, the security data analytics company, today announced that the Devo Security Data Platform received Authorization to Operate (ATO) at the Moderate level under the Federal Risk and Authorization Management Program (FedRAMP). The Devo Security Data Platform successfully completed FedRAMP's rigorous accreditation process, enabling federal agencies to secure their environments with a market-leading security information and event management (SIEM). Agencies and their partners can now leverage Devo to solve their toughest IT and security challenges with unparalleled visibility and a unified view of risk posture, security operations and the threat landscape. The demand to keep pace with rapidly evolving cyber threats at cloud speed and scale has never been higher for the U.S. government. New Office of Management and Budget (OMB) regulations require federal agencies to collect and retain logs for long time periods. These requirements strain legacy SIEM and logging solutions, resulting in higher license and maintenance costs and slower query times. The Devo Security Data Platform's massive ingestion capabilities overcome these challenges and enable agencies to manage petabytes of data—from any device or application—cost-effectively and performantly in the cloud. Kayla Williams, CISO, Devo, said: "Devo relentlessly maintains the highest standards of internal security controls to ensure customers can protect themselves from security threats with peace of mind. Commercial customers have used the Devo Security Data Platform in the cloud for years, and this milestone enables us to continue to extend the same seamless experience to federal agencies and their partners." The Small Business Administration sponsored Devo's authorization. FedRAMP was established to provide a cost-effective, risk-based approach for the adoption and use of cloud services by the federal government. FedRAMP empowers agencies to use modern cloud technologies with an emphasis on the security and protection of federal information. The Devo Security Data Platform is also available in the AWS GovCloud Marketplace, an isolated AWS Region designed to host sensitive data and regulated workloads in the cloud, assisting customers with U.S. federal, state and local government compliance requirements. About Devo Devo unleashes the power of the SOC. The Devo Security Data Platform, powered by our HyperStream technology, is purpose-built to provide the speed and scale, real-time analytics, and actionable intelligence global enterprises need to defend expanding attack surfaces. An ally in keeping your organization secure, Devo combines the power of people and AI to augment security teams, leading to better insights and faster outcomes. Headquartered in Cambridge, Massachusetts, with operations in North America, Europe and Asia Pacific, Devo is backed by Insight Partners, Georgian, TCV, General Atlantic, Bessemer Venture Partners, Kibo Ventures and Eurazeo. Learn more at www.devo.com.

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Data Visualization

DataOps.live to Deliver a Streamlined Data Management Process for Snowflake's Global Technical Sales Teams

DataOps.live | December 11, 2023

DataOps.live, The Data Products Company™, today announced that Snowflake has licensed the DataOps.live platform to prepare and deliver technical sales demonstrations for its global customers. The speed and productivity gains of the enhanced process, called Snowflake Solutions Center, are cost effective and will accelerate sales performance, impacting business insights that are made available to management. "Snowflake's collaboration with DataOps.live will enhance the efficiency, productivity, and value our Sales Engineers bring to our selling efficiency," said Eve Besant, SVP Worldwide Sales Engineering at Snowflake. The Snowflake Solutions Center, supported by the DataOps.live platform, will enable Snowflake users to seamlessly configure, build, test, and deploy data projects and data products for sales demonstration purposes. This comprehensive and collaborative solution includes the following features: Solutions Catalog: Enables users to build and maintain a solutions catalog of Snowflake data product demonstrations. One-Click Deployment: Allows Sales Engineers to effortlessly deploy new instances of Snowflake data product demonstrations with a single click. Lifecycle Management: Manages the entire lifecycle of these data products. Declarative Infrastructure Management: Utilizes DataOps.live's SOLE engine for full declarative management of Snowflake infrastructure. CI/CD and Orchestration: Capabilities that enable efficient project management. Python Orchestration: Delivers streamlined workflows. Git Workflow and Governance: Ensures effective governance with full Git workflow and governance features. DataOps Development Environment: Allows users to utilize the unique cloud-based IDE using VS code and Git for enhanced productivity. Snowpark Applications: Users can now build Snowpark applications with ease. Streamlit and Snowflake Native Apps: Effortlessly deploy Streamlit and Snowflake Native Apps. The solution provided to Snowflake has been tested for many months by a core team of Sales Engineering (SE) leaders and participants from across the globe in a collaborative process to ensure success. A total of 750 Snowflake SEs are anticipated to be trained and onboarded in the coming months to leverage the benefits of the DataOps.live platform in their sales process. "We have worked closely as a partner of Snowflake since 2017 and welcomed Snowflake Ventures as an investor in DataOps.live in 2021, so this collaborative solution is a great honor for us. As the platform to support the Snowflake Solution Center, we look forward to helping them enhance the efficiency and productivity of their solution selling process and drive real value on a daily basis," said Justin Mullen, co-Founder and CEO, DataOps.live. "We are so proud to expand our collaboration with Snowflake and to now include them as a strategic customer," said John F. Marchese, EVP Strategic Business, Alliances & Channels, DataOps.live. "This agreement marks a significant step forward in Snowflake's commitment to provide their worldwide SEs and other customer-facing technical sales staff with cutting-edge DataOps capabilities. Their belief in, and selection of, DataOps.live is an incredible endorsement for our unique ability to create value and drive ROI in business outcomes." About DataOps.live DataOps.live – the Data Products company, delivers productivity breakthroughs for data teams by enabling agile DevOps automation (#TrueDataOps) and a powerful Developer Experience (DX) to modern data platforms. The DataOps.live SaaS platform brings automation, orchestration, continuous testing and unified observability to deliver the Data Products you want at the speed the business needs. DataOps.live is a global company funded by Notion Capital, Anthos Capital and Snowflake Ventures, with enterprise clients including Roche Diagnostics and OneWeb.

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Data Architecture

SingleStore Announces Real-time Data Platform to Further Accelerate AI, Analytics and Application Development

SingleStore | January 25, 2024

SingleStore, the database that allows you to transact, analyze and contextualize data, today announced powerful new capabilities — making it the industry’s only real-time data platform. With its latest release, dubbed SingleStore Pro Max, the company announced ground-breaking features like indexed vector search, an on-demand compute service for GPUs/ CPUs and a new free shared tier, among several other innovative new products. Together, these capabilities shrink development cycles while providing the performance and scale that customers need for building applications. 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And this can only happen with simplicity at the core,” said Raj Verma, CEO, SingleStore. “This isn’t just a product update, it’s a quantum leap… SingleStore is offering truly transformative capabilities in a single platform for customers to build all kinds of real-time applications, AI or otherwise.” “At Adobe, we aim to change the world through digital experiences,” said Matt Newman, Principal Data Architect, Adobe. “SingleStore’s latest release is exciting as it pushes what is possible when it comes to database technology, real-time analytics and building modern applications that support AI workloads. We’re looking forward to these new features as more and more of our customers are seeking ways to take full advantage of generative Al capabilities.” Key new features launched include: Indexed vector search. SingleStore has announced support for vector search using Approximate Nearest Neighbor (ANN) vector indexing algorithms, leading to 800-1,000x faster vector search performance than precise methods (KNN). With both full-text and indexed vector search capabilities, SingleStore offers developers true hybrid search that takes advantage of the full power of SQL for queries, joins, filters and aggregations. These capabilities firmly place SingleStore above vector-only databases that require niche query languages and are not designed to meet enterprise security and resiliency needs. Free shared tier. SingleStore has announced a new cloud-based Free Shared Tier that’s designed for startups and developers to quickly bring their ideas to life — without the need to commit to a paid plan. On-demand compute service for GPUs and CPUs. SingleStore announces a compute service that works alongside SingleStore’s native Notebooks to let developers spin up GPUs and CPUs to run database-adjacent workloads including data preparation, ETL, third-party native application frameworks, etc. This capability brings compute to algorithms, rather than the other way around, enabling developers to build highly performant AI applications safely and securely using SingleStore — without unnecessary data movement. New CDC capabilities for data ingest and egress. To ease the burden and costs of moving data in and out of SingleStore, SingleStore is adding native capabilities for real-time Change Data Capture (CDC) in for MongoDB®, MySQL and ingestion from Apache Iceberg without requiring other third party CDC tools. SingleStore will also support CDC out capabilities that ease migrations and enable the use of SingleStore as a source for other applications and databases like data warehouses and lakehouses. SingleStore Kai™. Now generally available, and ready for both analytical and transactional processing for apps originally built on MongoDB. Announced in public preview in early 2023, SingleStore Kai is an API to deliver over 100x faster analytics on MongoDB® with no query changes or data transformations required. Today, SingleStore Kai supports BSON data format natively, has improved transactional performance, increased performance for arrays and offers industry-leading compatibility with MongoDB query language. Projections: To further advance as the world’s fastest HTAP database, SingleStore has added Projections. Projections allow developers to greatly speed up range filters and group by operations by introducing secondary sort and shard keys. Query performance improvements range from 2-3x or more, depending on the size of the table. With this latest release, SingleStore becomes the industry’s first and only real-time data platform designed for all applications, analytics and AI. SingleStore supports high-throughput ingest performance, ACID transactions and low-latency analytics; and structured, semi-structured (JSON, BSON, text) and unstructured data (vector embeddings of audio, video, images, PDFs, etc.). Finally, SingleStore’s data platform is designed not just with developers in mind, but also ML engineers, data engineers and data scientists. “Our new features and capabilities advance SingleStore’s mission of offering a real-time data platform for the next wave of gen AI and data applications,” said Nadeem Asghar, SVP, Product Management + Strategy at SingleStore. “New features, including vector search, Projections, Apache Iceberg, Scheduled Notebooks, autoscaling, GPU compute services, SingleStore Kai™, and the Free Shared Tier allow startups — as well as global enterprises — to quickly build and scale enterprise-grade real-time AI applications. We make data integration with third-party databases easy with both CDC in and CDC out support.” "Although generative AI, LLM, and vector search capabilities are early stage, they promise to deliver a richer data experience with translytical architecture," states the 2023 report, “Translytical Architecture 2.0 Evolves To Support Distributed, Multimodel, And AI Capabilities,” authored by Noel Yuhanna, Vice President and Principal Analyst at Forrester Research. "Generative AI and LLM can help democratize data through natural language query (NLQ), offering a ChatGPT-like interface. Also, vector storage and index can be leveraged to perform similarity searches to support data intelligence." SingleStore has been on a fast track leading innovation around generative AI. The company’s product evolution has been accompanied by high-momentum growth in customers and surpassing $100M in ARR late last year. SingleStore also recently ranked #2 in the emerging category of vector databases, and was recognized by TrustRadius as a top vector database in 2023. Finally, SingleStore was a winner of InfoWorld’s Technology of the year in the database category. To learn more about SingleStore visit here. About SingleStore SingleStore empowers the world’s leading organizations to build and scale modern applications using the only database that allows you to transact, analyze and contextualize data in real time. With streaming data ingestion, support for both transactions and analytics, horizontal scalability and hybrid vector search capabilities, SingleStore helps deliver 10-100x better performance at 1/3 the costs compared to legacy architectures. Hundreds of customers worldwide — including Fortune 500 companies and global data leaders — use SingleStore to power real-time applications and analytics. Learn more at singlestore.com. Follow us @SingleStoreDB on Twitter or visit www.singlestore.com.

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Data Visualization

SensiML Unveils Data Studio - Next-Generation Sensor Data Management for AI / ML

SensiML | December 20, 2023

SensiML Corporation, a leader in AI software for IoT and a subsidiary of QuickLogic, announced the launch of Data Studio, a ground-breaking platform designed to redefine the landscape of sensor data management. With a focus on practicality and efficiency, Data Studio empowers engineers and data scientists by offering an integrated solution that addresses the most time-consuming tasks in AI engineering projects - creating high-quality datasets for evaluating and developing ML models. According to Cognilytica, a well-respected AI / ML consulting firm, approximately 80% of the total time for machine learning (ML) projects is allocated to data preparation. These tasks include data identification, aggregation, cleansing, labeling, and augmentation – all of which are supported in SensiML's collaborative development environment. SensiML Data Studio significantly improves productivity and simplifies dataset management for anyone working on sensor data ML projects. With real-time connectivity, intuitive visualization tools, sensor data video synchronization, and robust support for large-scale collaborative projects, it offers a seamless experience for developers on edge devices, gateways, PCs, and cloud platforms. A comprehensive overview of all the features of Data Studio can be found on the SensiML website. The primary features are highlighted below: Effortless Data Capture and Import - Capture live sensor data, analyze it instantly, and label any data for seamless insights. Collaboratively Label Sensor Data - Employ flexible labeling methodologies for sensor data, including manual, AI-assisted, and custom – and sync video for effortless complex labeling. Store and analyze data locally on your computer or remotely. Data Analysis and Model Evaluation - Visually compare ML models, filter, transform, and fuse sensor data – all with built-in tools and your own Python expertise. Label and Data Versioning – Keep track of your labels and model results with versioned labels. Easily export your project to an open format. "SensiML Data Studio makes sensor data management and analysis more accessible and efficient, empowering developers to build better, more impactful applications using sensor data across a wide range of industries," said Chris Knorowski, CTO of SensiML. SensiML Data Studio is poised to transform sensor data analysis, offering a valuable resource for researchers, engineers, and data scientists across diverse sectors from agriculture and consumer wearables to medical devices, smart buildings, and factory maintenance. About SensiML SensiML, a subsidiary of QuickLogic (NASDAQ: QUIK), offers cutting-edge software that enables ultra-low power IoT endpoints that implement AI to transform raw sensor data into meaningful insight at the device itself. The company's flagship solution, the SensiML Analytics Toolkit, provides an end-to-end development platform spanning data collection, labeling, algorithm and firmware auto-generation, and testing. The SensiML Toolkit supports Arm® Cortex®-M class and higher microcontroller cores, Intel® x86 instruction set processors, and heterogeneous core QuickLogic SoCs and QuickAI platforms with FPGA optimizations.

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