Deloitte Working With Amazon Web Services to Create New Health Ecosystems Through Data

BOSTON, Nov. 14, 2019 /PRNewswire/ — Deloitte today announced its work with AWS Data Exchange, a new service that makes it easier for millions of Amazon Web Services (AWS) customers to securely find, subscribe to and use third-party data in the cloud. Building on its existing relationship with AWS, Deloitte is addressing unique health care data challenges by providing a suite of services integrated with AWS Data Exchange that can help create an efficient, robust and secure health care data ecosystem and apply that to the transformation of biomedical research, clinical trials, real world data insights, population health and reimbursement.

As used in this document, "Deloitte" means Deloitte LLP. Please see  www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. Certain services may not be available to attest clients under the rules and regulations of public accounting. (PRNewsFoto/Deloitte)

There has been an explosion of digital health data and more is being generated every day by patients, researchers, health systems, payers, digital health startups and many others. Most of this data, however, is inaccessible to other organizations for collaboration for myriad reasons ranging from security concerns to technology constraints to business model challenges. These challenges mean that the health care system is not fully benefiting from the insights from the secondary use of all this digital health data. This slows the pace of medical innovation and limits the potential to improve the lives of patients and the health care system.

“The explosion of digital health care data and advances in artificial intelligence (AI) and machine learning (ML) hold the promise to answer some of health care’s most important questions — what’s working for whom, why and at what cost,” said Brett Davis, principal, Deloitte Consulting LLP, and general manager, ConvergeHEALTH by Deloitte. “However, this data is locked in siloes across many organizations within the health ecosystem. The industry needs new business models that break down these silos to connect health care stakeholders, reduce inefficiencies and accelerate the translation of research to practice and improve patient outcomes. AWS Data Exchange provides the technology and infrastructure to support these new business models.”

AWS Data Exchange allows these new collaborative business models to develop between health care stakeholders by creating a secure, scalable infrastructure for de-identified data exchange under terms and conditions data owners can control. In addition, the AWS ecosystem of software providers and services providers means that customers of AWS Data Exchange will benefit from third-party software, AI/ML algorithms and professional services, many of which are available in AWS Marketplace.

ConvergeHEALTH Miner is already helping life sciences and health care clients derive insights from data they generate. ConvergeHEALTH Miner’s integration with AWS Data Exchange means users of Miner can now not just search and analyze data within their own organization but easily find, access and provision aggregated and de-identified data from potential collaborators outside their organization. This combination has the potential to redefine the way institutions approach research, clinical trials, pharmacovigilance, population health and reimbursement by giving organizations access to a myriad new digital data sources in addition to their own data. Additionally, this provides a place for enabling these new data driven business models.

“AWS Data Exchange provides a secure and cloud-native channel to exchange data at scale, with cloud-based solutions like ConvergeHEALTH Miner supporting the analytical needs for data analysts, academic researchers and data scientists in the medical community,” said Stephen Orban, general manager, AWS Data Exchange, Amazon Web Services, Inc. “We’re delighted to be working with Deloitte on AWS Data Exchange to help life sciences and health care organizations establish their strategies around the new data-driven collaborations and business models, while also helping data publishers with the engineering tasks needed to package, aggregate and anonymize their data for collaboration.”

The integration of the AWS Data Exchange API in Deloitte ConvergeHEALTH represents a great example of the sum being greater than the parts. As life sciences and health care organizations use more and more data to perform smarter research, improve patient outcomes and improve our collective well-being, Deloitte is helping these organizations establish their strategies around the patient-permissible exchange of aggregated or anonymized health care data, while also helping data publishers with the engineering tasks needed to package their data for publication. AWS Data Exchange then provides a secure and cloud-native channel to exchange data at scale, with cloud-based solutions such as ConvergeHEALTH’s Miner supporting the analytical needs for data analysts, academic researchers and data scientists in the medical community.

Deloitte and AWS Data Exchange will help organizations and researchers uncover the tremendous value created from the vast amounts of data generated throughout the health care ecosystem. From advancing patient care to discovering new medicines, real world data can help guide the future of health. Deloitte’s Life Sciences & Health Care (LSHC) practice — including ConvergeHEALTH — does this through a suite of services that enable life sciences and health care organizations to easily find the right health care data and create meaningful scale.

  • Deloitte’s Analytics & Cognitive practice helps health care organizations extract, cleanse, abstract, de-identify and transform their electronic medical record, lab, registry and other data into formats for insights for their own use as well as new collaborative models with other organizations using AWS Data Exchange.
  • Deloitte’s LSHC practice brings deep industry expertise from across the health care ecosystem to help establish new collaborative business models between patient advocacy groups, academic research organizations, health systems, health plans and life sciences organizations. 
  • Deloitte’s ConvergeHEALTH Miner and OpenCloud platforms create a powerful and secure managed cloud service for multiorganization collaboration including novel multicenter research collaborations, clinical trial design and outcomes-based contracting.

For more information, visit the ConvergeHEALTH and the AWS Data Exchange websites.

About Deloitte
Deloitte provides industry-leading audit, consulting, tax and advisory services to many of the world’s most admired brands, including nearly 90% of the Fortune 500® and more than 5,000 private and middle market companies. Our people work across the industry sectors that drive and shape today’s marketplace — delivering measurable and lasting results that help reinforce public trust in our capital markets, inspire clients to see challenges as opportunities to transform and thrive, and help lead the way toward a stronger economy and a healthy society. Deloitte is proud to be part of the largest global professional services network serving our clients in the markets that are most important to them. Our network of member firms spans more than 150 countries and territories. Learn how Deloitte’s more than 312,000 people worldwide make an impact that matters at www.deloitte.com.

Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited, a UK private company limited by guarantee (“DTTL”), its network of member firms, and their related entities. DTTL and each of its member firms are legally separate and independent entities. DTTL (also referred to as “Deloitte Global”) does not provide services to clients. In the United States, Deloitte refers to one or more of the US member firms of DTTL, their related entities that operate using the “Deloitte” name in the United States and their respective affiliates. Certain services may not be available to attest clients under the rules and regulations of public accounting. Please see www.deloitte.com/about to learn more about our global network of member firms.

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LF AI Welcomes ONNX, Ecosystem for Interoperable AI Models, as Graduate Project

SAN FRANCISCO, Nov. 14, 2019 /PRNewswire/ — The LF AI Foundation, the organization building an ecosystem to sustain open source innovation in artificial intelligence (AI), machine learning (ML) and deep learning (DL), is announcing today the Open Neural Network eXchange (ONNX) is its newest graduate level project. Moving ONNX under the umbrella of LF AI governance and management is viewed as a key milestone in establishing ONNX as a vendor-neutral open format standard.

ONNX is an open format used to represent machine learning and deep learning models. An ecosystem of products supporting ONNX provides AI capabilities like model creation and export, visualization, optimization, and acceleration capabilities. Among its many advantages, ONNX provides portability, allowing AI developers to more easily move AI models between tools that are part of trusted AI/ML/DL workflows.

“We are pleased to welcome ONNX to the LF AI Foundation. We see ONNX as a key project in the continued growth of open source AI,” said Mazin Gilbert, Chair of the LF AI Foundation Governing Board. “We are committed to expanding open source AI, and supporting trust, transparent and accessible community development.”

“ONNX is not just a spec that companies endorse, it’s already being actively implemented in their products. This is because ONNX is an open format and is committed to developing and supporting a wide choice of frameworks and platforms. Joining the LF AI shows a determination to continue on this path, and will help accelerate technical development and connections with the wider open source AI community around the world,” said Dr. Ibrahim Haddad, Executive Director of the LF AI Foundation. “We’re happy to provide ONNX an independent home and work with the community to boost its profile as a vendor neutral standard. ONNX will retain its existing OSI-approved open source license, its governance structure and their established development practices. We are committed to providing ONNX with a host of supporting services especially in the area of marketing and community events to extend its reach and adoption.”

The ONNX community was established in 2017 by Facebook and Microsoft to create an open ecosystem for interchangeable models. Support for ONNX has grown to over 30 registered companies, plus many more end user companies, around the world. ONNX is a mature project with 138 contributors, over 7K stars and over 1K forks.

“Huawei welcomes the ONNX project joining LF AI. As one of the initial premier members of the LF AI Foundation as well as an early member of the ONNX community, Huawei has been fully supportive throughout the entire process,” said XiaoLi Jiang, GM of Open Source Ecosystem in Huawei, “ONNX as model exchange format standard is a great addition for interoperability which enables broader collaboration for LF AI. Huawei will continue to increase our open source investments and collaborate with the open source community to advance the application and the development in Artificial Intelligence.”

“IBM is delighted to see the ONNX community joining the Linux Foundation as it will encourage accelerated development in the space. ONNX allows the transfer of models between deep learning frameworks and simplifies the deployment of trained models to inference servers in hybrid cloud environments via Watson Machine Learning. In addition, provides a standardized format to run models on both Watson Machine Learning Accelerator and IBM Z that benefit from IBM Power, enabling clients to infuse deep learning insights into transactions as they occur,” said Steven Eliuk, IBM Vice President, Deep Learning & Governance Automation, IBM Global Chief Data Office.

“Intel is committed to support ONNX in our software products such as nGraph, Intel® Distribution of the OpenVINO™ Toolkit, and PLAIDML to provide acceleration on existing Intel hardware platforms and upcoming deep learning ASICs,” said Dr. Harry Kim, Head of AI Software Product Management.  “Developers from Intel have already contributed to defining quantization specs and large model support for ONNX, and we expect even more contributions to the project as ONNX joins the Linux Foundation.”

“We’re thrilled that the Linux Foundation has selected ONNX to expand open source AI capabilities for developers,” said Eric Boyd, corporate vice president, AI Platform, Microsoft Corp. “Microsoft has been deeply committed to open source and continues to invest in tools and platforms that empower developers to be more productive. We use ONNX across our product portfolio – such as Azure AI – to deliver improved experiences to consumers and developers alike.”

“NVIDIA GPUs and TensorRT offer a programmable, high-performance platform for inference. The ONNX open format complements these and benefits from wide adoption within the AI ecosystem,” said Rob Ober, chief platform architect for Data Center Products at NVIDIA. “As an active contributor to ONNX, we’re glad to see the project join the Linux Foundation and look forward to industry-wide collaboration and innovation.”

For more information on getting involved immediately with ONNX, please see the following resources:

ONNX GitHub: https://github.com/onnx/
Discussions: https://gitter.im/onnx/
DockerHub: https://hub.docker.com/r/onnx/onnx-ecosystem
Main Site: https://onnx.ai
Twitter: https://twitter.com/onnxai
Facebook: https://facebook.com/onnxai

Companies that have already implemented ONNX in products include Alibaba, AMD, Apple, ARM, AWS, Baidu, BITMAIN, CEVA, Facebook, Graphcore, Habana, HP, Huawei, IBM, Idein, Intel, Mathworks, Mediatek, Microsoft, NVIDIA, NXP, Oath, Preferred Networks, Qualcomm, SAS, Skymizer, Synopsys, Tencent, Xiaomi, Unity.

LF AI Resources

About LF AI Foundation

The LF AI Foundation, a Linux Foundation project, accelerates and sustains the growth of Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) open source projects. Backed by many of the world’s largest technology leaders, LF AI is a neutral space for harmonization and ecosystem engagement to advance AI, ML and DL innovation. To get involved with the LF AI Foundation, please visit https://lfai.foundation.

About Linux Foundation

Founded in 2000, the Linux Foundation is supported by more than 1,000 members and is the world’s leading home for collaboration on open source software, open standards, open data, and open hardware. Linux Foundation projects like Linux, Kubernetes, Node.js and more are considered critical to the development of the world’s most important infrastructure. Its development methodology leverages established best practices and addresses the needs of contributors, users and solution providers to create sustainable models for open collaboration. For more information, please visit us at linuxfoundation.org.

The Linux Foundation has registered trademarks and uses trademarks. For a list of trademarks of The Linux Foundation, please see our trademark usage page: https://www.linuxfoundation.org/trademark-usage. Linux is a registered trademark of Linus Torvalds.

Intel, the Intel logo, and other Intel marks are trademarks of Intel Corporation or its subsidiaries.

Media Contact
Jesse Casman
reTHINKit Media
jesse@rethinkitmedia.com
415-730-2793

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DDN Expands Data Management Capabilities and Launches New Range of Platforms for AI and HPC

SANTA CLARA, Calif., Nov. 14, 2019 /PRNewswire/ — DDN®, the global leader in artificial intelligence (AI) and multicloud data management, today announced new infrastructure and multicloud solutions ahead of its return to the International Conference for High Performance Computing, Networking, Storage and Analysis (SC19)

DataDirect Networks (DDN) is a leader in data center infrastructure for Big Data and Cloud Storage applications. Our data storage and processing solutions and professional services enable content-rich and high growth IT environments to achieve the highest levels of systems scalability, efficiency and simplicity. DDN enables enterprises to extract value and deliver results from their information. Our customers include the world's leading online content and social networking providers, high performance cloud and grid computing, life sciences, financial services, media production, and security and intelligence organizations. Deployed in thousands of mission critical environments worldwide, DDN's solutions have been designed, engineered and proven in the world's most scalable data centers to ensure competitive business advantage for today's information powered enterprise. For more information, go to  www.ddn.com or call +1-800-TERABYTE (837-2298). (PRNewsFoto/DataDirect Networks)

At the conference (booth #617), DDN will demonstrate the next generation of SFA® platforms, new data management features of its EXAScaler® “EXA5” file solution, which will be generally available over the next two calendar quarters. These solutions and features reinforce DDN’s position as the data platform of choice for performance at scale by further helping customers effectively deploy, manage and accelerate next generation AI and analytics workloads. The DDN booth will be an opportunity to review how these products were designed and perfected for production-level AI workloads and use cases. 

“We are adding serious data management, collaboration and security capabilities to the most scalable file solution in the world. EXA5 gives you mission critical availability whilst consistently performing at scale,” said James Coomer, senior vice president of product, DDN. “Our 20 years’ experience in delivering the most powerful at-scale data platforms is all baked into EXA5. We outperform everything on the market and now we do so with unmatched capability.”

DDN’s EXA5 file system is enhanced to support multicloud productivity with a scalable S3 object interface. Currently, many AI deployments are made up of multiple storage types which are deployed depending on the stage of the data lifecycle. This creates distributed islands of data and additional administrative complexity. By supporting parallel file access, NFS/SMB and S3 from a single data platform, EXA5 solutions simplify data access by creating a single data repository that can service the entire workflow at scale.

The entire lineup of SFA platforms will be refreshed for additional performance efficiency and expanded capability. The SFA18KX™SFA7990X™SFA400NVX™, and SFA200NX™  systems bring a combination of more appliance functionality and performance, with new levels of simplicity

Additionally, DDN will reveal details of its vision for HPC and AI at-scale roadmap and its collaboration with NVIDIA on a number of exciting solutions at the DDN User Group in association with SC19 on Mon. Nov. 18, 2019 at 1:30 p.m. at the Denver, Embassy Suites Downtown. Also featured will be a variety of customer presentations highlighting how they are leveraging ease of management and parallelism at-scale within DDN’s infrastructure to achieve breakthrough results. 

Other Places You Can Find DDN at SC19: 

  • Sun. Nov. 17, 4:40 p.m. – HPC Day with the NextPlatform – Sven Oehme, Chief Research Officer, will be presenting DDN’s vision for the coming IO revolution for AI and HPC (Space Gallery, Denver)
  • Tues. Nov. 19, 12:15 p.m. – The IO-500 and the Virtual Institute of I/O BOF, Sven Oehme, presenting with partner NVIDIA (Room 205-207)
  • Wed. Nov. 20, 11 a.m. – Exhibitor Forum: Flexible HPC Storage: The Architectures and Pathways to an Independent Future, James Coomer, SVP Product (Room 503-504)
  • Thurs. Nov. 21, 4 p.m. – Fewer Tiers, Fewer Tears – LPCC: Hierarchical Persistent Client Caching, DDN EXAScaler Team (Room 401-404)

Supporting Resources 

About DDN 
DataDirect Networks (DDN) is the world’s leading big data storage supplier to data-intensive, global organizations. For more than 20 years, DDN has designed, developed, deployed and optimized systems, software and storage solutions that enable enterprises, service providers, universities and government agencies to generate more value and to accelerate time to insight from their data and information, on premise and in the cloud. Organizations leverage the power of DDN storage technology and the deep technical expertise of its team to capture, store, process, analyze, collaborate and distribute data, information and content at the largest scale in the most efficient, reliable and cost-effective manner. DDN customers include many of the world’s leading financial services firms and banks, healthcare and life science organizations, manufacturing and energy companies, government and research facilities, and web and cloud service providers. For more information, follow us on twitter: @ddn_limitless, go to ddn.com or call 1-800-837-2298. 

Contact: 
Press Relations at DDN 
pr@ddn.com 

Walt & Company, on behalf of DDN 
Sharon Sumrit, 408.369.7200 x2981 
ddn@walt.com 

©2019 All rights reserved. DDN, EXAScaler, GRIDScaler, SFA are trademarks owned by DataDirect Networks. All other trademarks are the property of their respective owners.

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SOURCE DataDirect Networks (DDN)

CascadeMD Announces Next Generation of Medical AI-Driven Speech-to-Text Solution

PLANTATION, Fla., Nov. 14, 2019 /PRNewswire-PRWeb/ — CascadeMD, http://www.cascade.md, a South Florida healthcare software provider, announced today the general availability of CascadeMD, a cloud-based clinical documentation solution that uses several proprietary technologies including multi-lingual Speech to Text, Artificial Intelligence (AI), Machine Learning (ML) and Natural Language Processing (NLP) to automate the process of populating data fields in an Electronic Medical Record from a voice dictation. Cascade elegantly combines the benefits and convenience of traditional full text dictation with support for modern EMR systems.

CascadeMD seeks to dramatically reduce any provider’s data entry load, effectively freeing up more time for productive patient consultations, increasing their efficiency and improving profitability. In addition, established transcription groups are able to use CascadeMD to substantially reduce costs and increase income.

When asked about how CascadeMD was born, David Hanowski, CEO of CascadeMD, said, “Providers across the healthcare system have been doubling-up as data entry operators, or, at best, editors, for a good chunk of their time each day; they needed help. At the same time, Cascade greatly simplifies clinical documentation and is the perfect tool for traditional transcription companies to streamline their operations and offer new services while dramatically reducing their own costs.”

The product includes an intuitive mobile app for iOS or Android, or can be used with any existing dictation device. It is tailored to suit the needs of a wide range of healthcare providers from independent physicians, small practices, large physician groups to large hospitals, as well as transcription organizations and is compatible with a wide range of EHR/EMR applications.

About CascadeMD
CascadeMD is headquartered in Plantation, FL. Powered by sophisticated AI, as well as a powerful and configurable workflow engine, CascadeMD allows the automatic population of structured medical records by transcribing, understanding and processing conventional clinical dictation. CascadeMD’s mission is to enable doctors and healthcare providers to see more patients and be more profitable by greatly simplifying clinical documentation reducing the costs and inefficiencies of manual transcription.

For more information, please contact: Everard Singh, esingh@cascade.md

 

SOURCE CascadeMD

Automation Anywhere Advances Business-Friendly Intelligent Document Processing

SAN JOSE, Calif., Nov. 14, 2019 /PRNewswire/ — Automation Anywhere, a global leader in Robotic Process Automation (RPA), today announced advances to IQ Bot, the world’s only web-based, cloud-native RPA-integrated Intelligent Document Processing (IDP) solution.

(PRNewsfoto/Automation Anywhere)

The new version of IQ Bot, delivered both via the cloud and on premises, expands AI-driven document processing capabilities seamlessly to almost any user and most businesses anywhere in the world.

With a large number of pre-packaged use cases available out-of-the-box, users can now easily automate business processes that involve documents such as invoices, purchase orders, loan applications, insurance claims and many others across multiple industries. The new release also expands the user interface to support 10 languages and enables extraction from identification documents such as passports and industry standard documents for insurance, health claims and others.

“Organizations looking to transition to a digital enterprise require a solution that can intelligently process a large volume of documents involved in many business processes,” said Prince Kohli, Chief Technology Officer at Automation Anywhere. “IQ Bot’s latest release further simplifies the automation journey by empowering business users to easily harness AI and machine learning to rapidly automate document-centric processes by themselves.”

According to analyst firm Everest Group, IDP is one of the fastest growing software categories and is projected to grow up to 80 percent annually over the next two years because of an increased requirement for organizations to process large volumes of unstructured data with greater accuracy and speed.

“IDP is one of the fastest growing software categories, because it addresses a large unmet need that traditional document capture solutions were not addressing,” said Anil Vijayan, Vice President, Everest Group. “With enhanced ability to understand ID documents and industry standard forms and the ability for developers to enhance extraction results using custom code, this new release from Automation Anywhere could greatly expand the type of business processes that can be automated end-to-end.”

IQ Bot, which has been adopted by over 400 of some of the largest enterprises globally, democratizes IDP by empowering business users to automate any business process that involves documents, by themselves.

“We have had tremendous success using Automation Anywhere’s RPA and the new IQ Bot to automate highly document-centric transactions,” said Juan Camilo Polania, CoE Manager at Bancolombia. “Leveraging IQ Bot on top of RPA has allowed us to automate a much broader set of processes. Today our automation program is helping us to realize $14 in value for every $1 spend.”

The new solution unlocks capabilities for enterprises of all sizes and offers:

  • Expanding use cases: The new release adds support for identification documents, handwritten text in English and data extraction from industry standard documents.
  • Cloud-native for improved scalability: The RPA integrated platform offers customers end-to-end packaged solutions both in the cloud, via Automation Anywhere Enterprise A2019, and on premises for use cases such as invoice processing and others.
  • Infused with artificial intelligence (AI): IQ Bot leverages AI at each step of document processing and continuously learns from human feedback, simplifying automation of document processing.
  • New developer capabilities: Ability to incorporate developer written code such as Python scripts to improve extraction results for complex fields and tables, and to make them available via Automation Anywhere Bot Store.

Additional information on IQ Bot is available here.

Interact with Automation Anywhere:

About Automation Anywhere
Automation Anywhere is the leader in Robotic Process Automation (RPA), the platform on which more organizations build world-class Intelligent Digital Workforces. Automation Anywhere’s enterprise-grade platform uses software bots that work side by side with people to do much of the repetitive work in many industries. It combines sophisticated RPA, cognitive and embedded analytic technologies. More than 3,500 customer entities and 1,900 enterprise brands use this AI-enabled solution to manage and scale business processes faster, with near-zero error rates, while dramatically reducing operational costs. Automation Anywhere provides automation technology to leading financial services, insurance, healthcare, technology, manufacturing, telecom and logistics companies globally. For additional information, visit www.automationanywhere.com.

 

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Adams Street Partners and Sapphire Ventures Lead $40M Investment in Punchh to Power Digital Transformation of Brick-and-Mortar Retail

SAN MATEO, Calif., Nov. 14, 2019 /PRNewswire/ — Punchh, the leader in customer marketing solutions for physical retailers, today announced it has raised $40 million in a Series C funding round led by Adams Street Partners and Sapphire Ventures, with AllianceBernstein also participating in the round. The new funding will be used to further augment Punchh’s AI capabilities as it expands into new verticals such as convenience stores and other physical retail segments. Robin Murray of Adams Street Partners will also join Punchh’s board.

As part of this expansion, Punchh also announced a partnership with Casey’s General Stores, Inc. (NASDAQ: CASY), a Fortune 500 company and one of the largest convenience store brands in the United States, operating 2,100 stores in 16 states throughout the Midwest.

“Consumers expect ubiquity of experiences online and off. In-store retail remains extremely popular and is one of the most powerful relationship building channels ever created. However, ecommerce has changed expectations for personalization so dramatically that marketers need to incorporate AI in order to remain competitive,” said Shyam Rao, CEO of Punchh. “Our platform gives retailers an unparalleled understanding of how customers engage with their brand in the real world, along with the ability to use that understanding to create AI-powered experiences that keep customers coming back for more.”

Punchh is the only marketing platform designed to drive same store sales for the physical retail experience. By integrating with existing point-of-sale and eCommerce systems, Punchh collects in-store and online customer data in real time to generate a 360 degree view of customers across the entire customer lifecycle. That lifecycle, powered by Punchh, brings people from “consumer” to “customer”, and from “customer” to “loyalist”. By applying Punchh’s proprietary AI to this customer data, brands can create and deliver personalized journeys, which allows retailers to distribute tailored offers to drive customer lifetime value.

“Punchh is the undisputed leader in this category. They work with the biggest brands, have the most sophisticated technology, and drive real results for their customers,” said Robin Murray, Partner at Adams Street Partners. “While everyone else got distracted by maximizing ecommerce, Punchh took the best technologies and practices from that space and applied them to physical retail. Now the world is coming back around – just look at Amazon’s purchase of Whole Foods – and Punchh is already 10 steps ahead of the game.” “Analysts predict ecommerce will account for just 10 percent1 of total retail sales in 2019, which means about 90 percent of transactions are still taking place in store,” said Jai Das, managing director, president and co-founder of Sapphire Ventures. “There’s tremendous opportunity in brick-and-mortar retail, and brands are looking for ways to better understand their customers and build data-driven relationships that translate into increased customer lifetime value. Punchh’s solutions allow retailers to do that in a highly scalable manner, which is why they’re trusted by so many leading brands, and why we’re so optimistic on their long-term growth.”

Nearly 200 global enterprise brands currently use Punchh’s solutions in more than 93,000 retail locations across the globe – including Yum! Brands, Denny’s and Casey’s: the company’s flagship convenience store customer.

“Punchh is exciting because they’re constantly pushing the boundaries of how retailers can leverage AI to enhance every step of the customer journey – from new customer acquisition to loyalist activation and beyond,” said Art Sebastian,Vice President of Digital Experience for Casey’s. “Brands need every edge they can get In today’s highly competitive retail climate, and Punchh delivers that edge by making advanced customer AI technology applicable to brick-and-mortar.”

For more information on Punchh and its services please visit www.punchh.com

About Punchh
Founded with physical restaurants, c-stores, and retailers in mind, Punchh creates the consistent, modern experiences consumers expect. Punchh is the world leader in delivering dynamic, one-to-one customer engagement through artificial intelligence, mobile-first expertise, and omnichannel communications. All of our solutions are designed to guide consumers through their lifecycle from customer to loyalist, delighting them along the way, and dramatically increasing lifetime customer value. Marketers can connect with customers across any channel through loyalty, offers, ordering, payments, feedback, surveys, gift cards, games and more. Nearly 200 global enterprise brands rely on Punchh to grow revenue by building customer relationships. The company is based in Silicon Valley, California with a second US office in Austin, TX and global offices across Canada, India, the United Kingdom, and Singapore.

1 https://www.emarketer.com/content/did-clicks-really-surpass-bricks-for-share-of-us-retail-sales-not-exactly

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SOURCE Punchh

BRG Enhances Big Data Capabilities With Addition Of Vista Analytics

WASHINGTON, Nov. 14, 2019 /PRNewswire/ — Berkeley Research Group (BRG), a global consulting firm, announced today that it has added 12 members from Vista Analytics, LLC, significantly expanding the firm’s capabilities in artificial intelligence and machine learning.

“The addition of Vista Analytics is an exciting development,” said BRG Chairman and Principal Executive Officer David J. Teece. “They bring sophisticated and complementary tools to our market-leading data analytics expertise.”

The market for dispute technology is in a unique nexus where the type, volume and complexity of data relevant to disputes is both growing and evolving. There is a clear need for new tools to help make sense of this complex data and simultaneously reduce the time and cost associated with data analysis. Washington, DC-based Vista Analytics focuses on fulfilling this need via the application of cutting-edge machine learning, advanced database technology and customized solutions focused on these data intensive challenges that occur in complex disputes. Related to disputes are various modeling and predictive technologies that Vista will use to enhance BRG’s offerings.

“I am delighted that we have found a great fit with BRG,” said Managing Director Craig Freeman, cofounder of Vista Analytics. “We look forward to combining the right technology with associated process control to identify new insights, increase work product quality and streamline time and expense involved in the data analysis process.”

Freeman has focused his professional career on the design, implementation and support of various litigation technologies, running some of the largest and most successful dispute technology practices in the world. His team of data scientists, software engineers, discovery analysts and technologists—experts in their respective fields—includes:

  • Managing Director Richard Finkelman, a nationally recognized technology expert who brings more than 30 years of experience helping clients manage information and technology in litigation, compliance and business matters.
  • Director Dr. Xuning (Mike) Tang, who has over a decade of academic and industrial experience in machine learning, natural language processing and big data technologies. He has managed large teams to build advanced analytics solutions for major manufacturing, hospitality and banking companies, as well as AmLaw 100 law firms. Tang has published more than 35 peer-reviewed research papers and also has served as an associate editor for flagship journals in artificial intelligence and machine learning.
  • Director Dion Gibson, who has over 12 years of relevant experience and has established, directed and mentored global teams of more than 40 members across the US, UK, Hong Kong and India. He has led and managed hundreds of electronically stored information (ESI) projects, ranging from law firm and government contracts requiring on-site support to large-scale second requests with complex datasets and rigid timelines.
  • Director Yihua Astle, who has substantial experience in delivering machine learning and advanced analytics solutions in the legal, compliance, finance and media sectors. She has helped develop and deploy enterprise-level predictive models that lowered operational costs while improving sales and revenue at Fortune 500 corporations and major law firms; and has advised senior leaders and executives on pricing, marketing and product design, leveraging insights from data.

About BRG

Berkeley Research Group, LLC (BRG) is a global consulting firm that helps leading organizations advance in three key areas: disputes and investigations, corporate finance, and strategy and operations. Headquartered in California with offices around the world, we are an integrated group of experts, industry leaders, academics, data scientists and professionals working beyond borders and disciplines. We harness our collective expertise to deliver the inspired insights and practical strategies our clients need to stay ahead of what’s next. Visit thinkbrg.com to learn more.

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SOURCE BRG

New Study by Protiviti and International RegTech Association Sets Out Blueprint for Much Needed Digital Optimization of ‘Know Your Customer’ Processes

MENLO PARK, Calif., Nov. 14, 2019 /PRNewswire/ — Protiviti and the International RegTech Association (IRTA) have released the findings of a global market study they conducted to investigate the effectiveness of current ‘Know Your Customer'(KYC) processes. The study reveals an urgent need for more effective industry alignment to accelerate the digitizing of KYC processes and greater use of shared platforms. KYC processes involve the identification and verification of customers and help protect financial institutions’ services from being misused for illegal activities.

Protiviti logo. (PRNewsFoto/Protiviti) (PRNewsfoto/Protiviti)

The joint study included interviews with regulators, financial institutions and technology service providers across multiple international jurisdictions in leading financial centers as well as emerging markets. The purpose was to identify a roadmap for improving costly and ineffective manual KYC processes that are sub-optimal for financial institutions and often lead to a poor customer experience for their clients and hinder financial inclusion. The study’s report also provides strategic recommendations tailored for each stakeholder group on how to transform current KYC processes.

The study concluded that key roadblocks to KYC innovation include:

  • Inconsistent governmental and regulatory support for digitization efforts
  • Difficulty in developing effective operational and commercial models for digital-enabled shared platforms
  • Concern over data strategy and integrating legacy systems with new digital solutions
  • Conflict between KYC and data privacy requirements that can prevent data sharing

Shared platforms, consisting of a centralized, de-centralized or distributed database that can be used to share KYC data within a financial institution and across multiple institutions, can reduce redundancies in KYC processes and improve customer experience.

“Today’s inefficient and ineffective manual KYC processes are onerous and costly,” said Shubhendu Mukherjee, a director in Protiviti’s Risk and Compliance practice. “By getting the key stakeholders to collaborate, we can develop and adopt digital solutions and shared platforms based on consistent regulatory and data standards. It’s critical to make this a standard practice across the financial services industry.”

According to the report, key enablers of digitally optimized KYC processes include the use of new technologies, such as artificial intelligence, machine learning and distributed ledger technology, to reduce the time and cost of KYC operations. The financial industry also needs to utilize shared KYC platforms to eliminate redundancies in processes and improve customer experience.

“It is essential for policymakers, regulators, institutions and solution providers to align on their understanding of how digital-enabled KYC can transform outcomes for people and businesses,” said Richard Maton, executive board member for the IRTA. “A shared understanding of the significant risks of continuing to rely on legacy approaches is equally important. Our recommendations provide a blueprint for broader RegTech adoption that enables better regulatory compliance and improves the efficiency and effectiveness of compliance processes.”

Report Offers Recommendations
The Protiviti-IRTA report includes recommendations for key stakeholders and platform providers that lay out how existing policy frameworks and mechanisms can be leveraged to drive the understanding, testing and adoption of KYC optimization, such as: 

  • Consistent regulatory standards and mandating the development of common data models to support KYC optimization
  • Regulators to be actively technology-informed, developing views on the regulatory effectiveness of specific technologies without endorsing actual vendors
  • Best practices for the development of shared platforms and standards for data sharing
  • Co-creation of industry assets such as data trusts, typology banks and open IP from regulatory tech-sprints and proofs of concepts

About the KYC Study
The Protiviti/IRTA KYC innovation study, conducted from May through August of 2019, targeted leading financial centers and developing markets that are at various stages of KYC optimization. Extensive interviews were conducted with government and regulatory agencies, financial institutions, KYC digital solution and shared platform providers, as well as innovators and thought leaders. The study also relied on a wide range of official documents, such as corporate announcements, regulatory filings and reports on digital initiatives. For a complimentary download of the study report, please visit here.

About IRTA
The International RegTech Association (IRTA) (www.regtechassociation.org) is a united community of individuals and organizations, with a shared vision to innovate, advance, and influence the future of Regulatory Technology (RegTech). Through consultation and collaboration, the IRTA plays a central role in shaping the future of the Financial Services industry. A non-profit Association, the IRTA brings together the people, tools and policies that are required to thrive in today’s rapidly evolving RegTech landscape.

About Protiviti
Protiviti (www.protiviti.com) is a global consulting firm that delivers deep expertise, objective insights, a tailored approach and unparalleled collaboration to help leaders confidently face the future. Through its network of more than 85 offices in over 25 countries, Protiviti and its independent and locally owned Member Firms provide clients with consulting solutions in finance, technology, operations, data, analytics, governance, risk and internal audit.

Named to the 2019 Fortune 100 Best Companies to Work For® list, Protiviti has served more than 60 percent of Fortune 1000® and 35 percent of Fortune Global 500® companies. The firm also works with smaller, growing companies, including those looking to go public, as well as with government agencies. Protiviti is a wholly owned subsidiary of Robert Half (NYSE: RHI). Founded in 1948, Robert Half is a member of the S&P 500 index.

Protiviti is not licensed or registered as a public accounting firm and does not issue opinions on financial statements or offer attestation services.

Editor’s note: photos available upon request.

 

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SOURCE Protiviti

Sony to Establish Research Center in India

TOKYO, Nov. 14, 2019 /PRNewswire/ — Sony Corporation (“Sony”) today announced the establishment of a research center in India to tap into the country’s sizeable pool of talent, with plans for multiple sites. The first location will be opened in Bangalore in 2020 as one of Sony’s global R&D centers. Sony has been carrying out software development with local talent for over twenty years in the country, and this move will augment Sony’s competitive edge in the Indian market and strengthen its research and development capabilities in India.  Sony is well-positioned to provide excellent career opportunities for researchers possessing relevant information technology-related skills who are currently living in India or are willing to relocate to India.

Sony Global R&D Centers

Sony has always strived to expand and further increase the diversity of its global R&D operations, and the establishment of this new research center in India will empower Sony to continue fulfilling its purpose – namely, to “Fill the world with emotion, through the power of creativity and technology.” Sony seeks to promote research activities and foster the growth of a diverse pool of engineering talent.

Sony is also promoting open innovation with local universities through research sponsorships as well as collaborative partnerships with faculty and researchers in India, in order to establish lasting initiatives for motivating and fostering research talent. More importantly, Sony will provide career opportunities, not only in India, but also at worldwide Sony Research sites as employees’ careers advance.

Recruitment for well-qualified professionals will be starting in the area of applied artificial intelligence. Details will be announced through the following company web page at a future date.

https://www.sony.net/SonyInfo/Careers/

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SOURCE Sony

Risk Management Market to Reach $18.50 Bn, Globally, by 2026 at 14.6% CAGR: Allied Market Research

PORTLAND, Oregon, Nov. 14, 2019 /PRNewswire/ — Allied Market Research published a report, titled, “Risk Management Market by Component (Solution and Services), Deployment Model (On-Premise and Cloud), Organization Size (Large Enterprises and Small & Medium Enterprises), and Industry Vertical (BFSI, IT& Telecom, Retail, Healthcare, Energy & Utilities, Manufacturing, Government & Defense and Others): Global Opportunity Analysis and Industry Forecast, 2019-2026.” According to the report, the global risk management market was estimated at $6.25 billion in 2018 and is expected to hit $18.50 billion by 2026, registering a CAGR of 14.6% during the estimated period.

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Drivers, restraints and opportunities-

Rise in data & security breaches in enterprises, surge in stringent government regulatory compliances, development in IoT landscape, and surge in adoption of risk management among financial institutions propel the growth of the global risk management market. On the other hand, high cost, and complexity in installation as well as configuration of the software hamper the growth to certain extent. However, integration of artificial intelligence in risk management software and upsurge in demand from developing economies are expected to create an array of opportunities for the key players in the near future.

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The software segment to lead the trail till 2026-

Based on component, the software segment contributed to nearly three-fourths of the global risk management market share in 2018 and is expected to retain its dominance during the study period. Increase in adoption of this software by different banks as well as financial institutions and stringent government regulations for data security has fueled the growth. The service segment, on the other hand, would showcase the fastest CAGR of 17.0% by 2026.

The BFSI segment to dominate during the estimated period-

Based on industry verticals, the BFSI segment garnered the major share in 2018, holding nearly one-fourth of the global risk management market. This is attributed to rise in different types of risk such as credit risk, liquidity risk, money laundering, terrorist financing, risk compliance of bank’s operations, foreign exchange risk, interest rate risk, and other market risks. At the same time, the manufacturing segment is projected to register the fastest CAGR of 17.7% by the end of 2026. This is due to rise in digitalization and need for smooth operational efficiency.

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North America to maintain its top status in terms of revenue-

Based on geography, North America accounted for more than one-third of the global risk management market revenue in 2018 and is anticipated to rule the roost throughout the forecast period. North American countries are anticipated to adopt risk management software at a high rate to bring great improvements in operational efficiency in IT infrastructure. Simultaneously, the region across Asia-Pacific would grow at the fastest CAGR of 16.1% by 2026, owing to rise in digitalization in emerging economies such as China and India.

Leading players in the market-

  • Lockpath, Inc.
  • Qualys, Inc.
  • IBM Corporation,
  • Thomson Reuters
  • SAP SE
  • SAS Institute Inc.
  • ServiceNow
  • RSA Security LLC
  • MetricStream Inc.
  • LogicManager, Inc.

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Knowledge tree is a cloud-based intelligence platform that offers more than 2,000 selective, off-the-shelf reports on niche markets to enable our clients gain deep insights on the latest trends, dynamic technologies, and emerging application areas.

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About Us:

Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Portland, Oregon. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of “Market Research Reports” and “Business Intelligence Solutions.” AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.           

We are in professional corporate relations with various companies and this helps us in digging out market data that helps us generate accurate research data tables and confirms utmost accuracy in our market forecasting. Each and every data presented in the reports published by us is extracted through primary interviews with top officials from leading companies of domain concerned. Our secondary data procurement methodology includes deep online and offline research and discussion with knowledgeable professionals and analysts in the industry.

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SOURCE Allied Market Research