BIG DATA MANAGEMENT

Pathr.ai Unveils New Spatial Intelligence Analytics Tools for Retailers to Help Drive In-Store Profitability, Increase ROI

Pathr.ai | January 15, 2022

Pathr.ai, the industry's first and only artificial intelligence (AI) powered spatial intelligence platform, today announced three powerful new spatial intelligence analytics tools focused on helping retailers drive in-store profitability. Pathr.ai’s CPG Display Tool, True Conversion Rate Tool, and Brand Effect vs. Location Tool are all designed to deliver previously unavailable business insights that empower retailers to obtain higher levels of revenue and make stronger business decisions for their physical stores.

“Retailers today lack in-store analytics around customer behavior - critical information that can lead to increased profitability and improved business outcomes. We designed our new tools to address some of the most pressing concerns for retailers,” said George Shaw, CEO and Founder of Pathr.ai. “In addition to our Brand Effect vs. Location Tool and True Conversion Rate Tool, now, for the first time ever, retailers will be able to assess the effectiveness of CPG brands at their stores with our CPG Display Tool.”

Pathr.ai’s new tools include:

  • CPG Display Tool: For the first time ever, retailers have a solution that helps them assess the effectiveness of CPG brands at their stores with store-level data to directly measure and maximize the impact of Category Management efforts. By analyzing shopper traffic and dwell impressions within various store departments, retailers can enhance their strategic CPG brand partnerships by offering them valuable data to improve their merchandise placement and marketing promotions. This information also allows CPG brands to better understand how their products are performing in different areas of a store and can be a potentially lucrative new data source for retailers.
  • True Conversion Rate Tool: Allows retailers to quantify group size dynamics in their locations (ex: families, couples, or singles) and delivers a more accurate buyer conversion rate for retailers. This is a huge departure from how the conversion rate is typically calculated, with most retailers measuring individuals, not groups. If a family of 4 enters a retail location, usually only one person from that family will pay for a product, not all 4. In addition to a more accurate conversion rate, this data can also be used to inform merchandising and in-store promotion initiatives.
  • Brand Effect vs. Location Tool: Lets retailers assess how effective their store-within-a-store brands and locations are performing. For example, retailers can leverage this data to understand the full business impact of their store-within-a-store, assessing if that location resulted in traffic to other areas or if it outperformed conventional sections of their store. Retailers can quantify traffic and dwell times around store-within-a-store locations to benchmark rents for each area and guide potential adjustments in location and surrounding store signage to improve performance.

“Spatial Intelligence can be a powerful asset to retailers focused on maximizing their profits and improving operational efficiencies critical to their success. We’ve created our insight tools to empower retailers to make business decisions in an accurate and data-driven way, and ultimately share that insight with their CPG supplier base.”

Alan Flohr, Chief Revenue Officer of Pathr.ai

Pathr.ai integrates and collects data from a retailer’s existing camera infrastructure. It measures customer movement inside a physical space anonymously - allowing companies to comply with GDPR and CCPA standards and achieve positive business results in an unbiased way.

About Pathr.ai
Pathr.ai is the industry’s first AI-powered spatial intelligence software company that uses anonymous location data from available and existing infrastructure to observe human behavior in any physical space. Its sophisticated technology turns raw behavioral and spatial data from existing sensors into actionable and applied business learnings - allowing companies to drive the business results that matter most to the growth of their companies in real-time. Founded in 2019, Pathr.ai is headquartered in Mountain View, California.

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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT, BUSINESS STRATEGY

BayBridgeDigital Expands Partnership With Snowflake To Turn Data Into Insights For Salesforce Customers

BayBridgeDigital | December 15, 2022

BayBridgeDigital, the game-changing software company, announced the expansion of their partnership with snowflake, the Data Cloud company, to simplify business data pipelines and optimize data stored in the cloud for Salesforce customers. The partnership will allow salesforce customers to help their clients build data-based technology solutions. We’re excited to expand our partnership with Snowflake to give our Salesforce customers better experiences and the opportunity to better leverage their data. Alain Attias, CEO at BayBridgeDigital BayBridgeDigital is strengthening its cloud solutions across the retail industry by combining Snowflake’s single, integrated platform with Salesforce clouds to allow customers to drive real-time and seamless customer-centric outcomes. “We look forward to the continuation of our partnership with BayBridgeDigital as we work together to unlock new value for customers and assist them in their digital journeys” Edouard Beaucourt, Country Manager of France at Snowflake.

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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

Tellius Enhances Decision Intelligence Platform to Unify Insights Across Disparate Datasets

Tellius | November 10, 2022

Tellius today announced the latest version of its decision intelligence platform with new features including Multi-Business View Vizpads. The enhancements in Tellius 4.0 will help users unify insights for more holistic views, accelerate ad hoc analysis in an enterprise-controlled manner, and get faster onboarding and time to insights. Introducing Multi-Business View Vizpads As the number of dashboards grow in a company, so does the amount of context switching and stitchwork to get the full picture of what is happening in the business to make better decisions. As a result, most organizations today are experiencing disconnected decision-making—leading to missed opportunities to increase revenue and improve customer retention. To reduce this friction, Tellius has added Multi-Business View Vizpads (MBV Vizpads) to its platform, unifying analysis across disparate data sources. Now, users can gain greater visibility into data across sources without needing to toggle through multiple dashboards, enabling better collaboration, efficiency, and decision-making across different functions. For example, marketing teams could use MBV Vizpads to view Google Analytics site traffic alongside Salesforce data for an omni-view of the journey from visitor to prospect to customer, all in one place. This data can then be fed into Tellius’ AI-driven decision intelligence engine to uncover the what, why, and how that informs better business decisions. “Tellius recognizes that business decisions are rarely narrow in scope, so the new ability for VizPads to work across Business Views is important. But I think they go further than just decision support — it’s decision management. For a well-governed business, the ability to track and evaluate outcomes is just as critical as the decision itself," said Donald Farmer, a data and analytics product expert and Principal at TreeHive Strategy Services. Delivering enterprise-grade ad hoc analysis and faster time to insights In addition to introducing MBV Vizpads, Tellius also rolled out a host of other features, including: Guided walkthroughs, in-app chat, and feedback support to improve the onboarding and user experience, empowering customers to realize value from insights faster than ever before Enhanced search disambiguation and date operators to make Tellius’ search functionality more robust Default User Groups, Spark SQL support, and OAuth support for Snowflake Audit logs to deliver superior enterprise-grade decision intelligence capabilities. This platform enhancement news comes on the heels of Tellius’ $16 million Series B funding round led by Baird Capital. Tellius also received significant industry recognition for its decision intelligence platform this year, including being named a Visionary in the 2022 Gartner® Magic QuadrantTM for Analytics and BI Platforms and a representative vendor in the 2022 Gartner® Market Guide for Multipersona Data Science and Machine Learning Platforms. “We’ve made a fundamental shift by simplifying how users interact with Tellius. Multi-Business View Vizpads will empower business users to analyze insights across disconnected and disparate data models to unlock game-changing holistic decision-making,” said Hardik Chheda, Chief Product Officer at Tellius. “We will continue to invest in the entire user journey on our platform - with a core focus on user onboarding, supercharging our ad-hoc analysis capabilities, and adding robust enterprise capabilities.” About Tellius Tellius is an AI-driven decision intelligence platform that enables anyone to get faster insights from their data. The company helps organizations across industries, including financial services, pharmaceutical and life sciences, retail, healthcare, and high technology, accelerate their journey from data to decisions by augmenting human expertise and curiosity with intelligent automation. The company’s platform combines AI- and ML-driven automation with a search interface for ad hoc exploration, allowing users to ask questions of their business data, analyze billions of records in seconds, and gain comprehensive, automated insights in a single platform. Founded in 2016, Tellius is backed by Baird Capital, Sands Capital Ventures, Grotech Ventures, and Veraz Investments.

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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

Accenture to Acquire ALBERT After Completing Tender Offer

Accenture | November 15, 2022

Accenture is to acquire Japanese data science company ALBERT Inc. (President and CEO: Tokyo Stock Exchange Growth Market, Securities Code: 3906), after completing a tender offer. The acquisition will add a large team of data scientists to Accenture to further strengthen its data and AI capabilities for clients. The tender offer was launched on September 29 and closed on November 14. The number of ALBERT's common shares and stock acquisition rights tendered to Accenture significantly exceeds the threshold required for ALBERT to become part of Accenture, equal to two thirds of the ALBERT stock. Upon completion of the transaction, ALBERT will be part of Accenture. Accenture expects to purchase all remaining shares and stock acquisition rights in the coming months, after which ALBERT will be delisted from the Tokyo Stock Exchange. ALBERT offers AI and big data analytics services, AI-based algorithm development, AI implementation consulting, and data science training support, primarily to major corporations in Japan. The company was founded in 2005 and was listed on the Tokyo Stock Exchange in 2015. Its data science team of 250 permanent employees and contractors will join Accenture’s Applied Intelligence practice, which provides AI and data-led transformation solutions and services. ALBERT will strengthen Accenture’s ability globally to help its clients manage the total reinvention of their enterprises, which most successful companies will undergo in the next decade. Technology, data and AI will transform every part of their business, enabling new ways of working and engaging with customers, business models and growth opportunities. The acquisition will be Accenture’s latest step to further strengthen its services in Japan that use data to digitally replicate the entire enterprise and to help Japanese companies grow and become more competitive with deep data analytics and AI expertise. Accenture has launched several solutions for data-driven management in Japan recently, for example, to forecast various business scenarios and propose actions to improve the forecasts, and to support clients’ ESG (environment, society, and corporate governance) practices. Atsushi Egawa, who leads Accenture’s business in Japan, said, “Companies today need a 360-degree view on their business to make better and faster decisions. They must look beyond the financials and include, for example, sustainability initiatives, customer experiences, and people development and retraining. Gaining this holistic perspective and being able to simulate every aspect of the business requires deep data science expertise and AI capabilities. Accenture and ALBERT’s team will bring these to clients to help them succeed in their total enterprise reinvention.” “ALBERT’s philosophy is to connect the world with data science and co-create new value for a better future. As leading companies across industries are investing heavily in AI, we’re seeing growing demand for the technologies and skills that are the core of our business. By joining Accenture, which excels at addressing its clients' most complex opportunities and issues, our team can drive even more value for clients and accelerate the implementation of AI in society.” Takeshi Matsumoto, President, and CEO of ALBERT ALBERT will follow other acquisitions Accenture has made to strengthen its data and AI capabilities for clients globally. These include Analytics8 in Australia; Sentelis in France; Bridgei2i and Byte Prophecy in India; Pragsis Bidoop in Spain; Mudano in the UK; and Clarity Insights, End-to-End Analytics and Core Compete in the US. About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services and Accenture Song — all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 721,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.

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