General AI
Glassbox | January 11, 2024
Glassbox (TASE:GLBX), a leading provider of digital experience intelligence for web and mobile applications, today announced the availability of its enterprise-ready AI assistant, which the company has named GIA (Glassbox Insights Assistant). Glassbox turned to Microsoft Azure OpenAI Service, which hosts OpenAI models fully within the secure Azure environment, to elevate the security and privacy standards of its previously announced AI assistant. In combination with Glassbox’s patented data privacy measures, users of the AI assistant can be confident that the conversational interface is protected with the level of rigor they expect from both Microsoft and Glassbox.
“We developed the AI assistant earlier based on OpenAI’s GPT model. However, our commitment to responsible AI and our exacting security, data privacy and compliance standards compelled us to turn to the Microsoft Azure OpenAI Service for its additional protections for potentially sensitive data shared or accessed through the new generative AI (GenAI) interface,” said Glassbox co-founder and Chief Technology Officer Yaron Gueta. “GIA sets a new bar for what organizations should expect of GenAI solutions from their software providers.”
Glassbox captures millions or billions of digital experience data points for each of its customers every month that give them the richest possible set of data about their digital customer experience. GIA allows Glassbox users to uncover deep digital insights quickly and without technical knowledge or reliance on data and analytics teams.
“Microsoft Azure OpenAI Service is ideal for companies like Glassbox that need to deliver enterprise-grade GenAI solutions based on vast, proprietary datasets,” added John Montgomery, CVP, Azure AI at Microsoft. “By using the power of our generative AI capabilities, Glassbox’s AI assistant can deliver a better experience to customers with the security measures of Azure.”
With Gartner predicting that more than half of all successful technology solutions will be delivered to “nontraditional” buyers outside of IT by 2025, one of the pillars of Glassbox’s AI strategy is to make its unparalleled set of digital experience data more actionable, more quickly by more users for greater business impact. GIA is central to this strategy as Glassbox shifts increasingly towards natural language interfaces.
The use of GenAI to unlock digital insights is also a key step in realizing Glassbox’s Autonomous CX vision, which promises to revolutionize the customer experience domain by making digital experiences fully self-optimizing.
GIA is immediately available within the Glassbox digital experience intelligence platform when deployed in a customer’s preferred cloud environment.
About Glassbox
Glassbox (TASE:GLBX) reveals the insights that empower organizations to deliver better digital customer experiences. Our Digital Experience Intelligence platform automatically captures, visualizes and analyzes every digital journey in real time across websites and mobile apps. It serves as the unifying platform for product, UX, marketing, IT, analytics teams (and more) to assess performance, prioritize projects and optimize experiences. With unparalleled data privacy and security built in, hundreds of global customers across industries have chosen Glassbox to grow and optimize their digital businesses. Learn more at glassbox.com.
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AI Tech
Qlik | January 25, 2024
<p> Qlik, a global leader in data analytics and integration, today announces the establishment of its inaugural AI Council – an initiative that further embeds leading edge, ethical AI development at the heart of the company’s mission and industry proposition. By convening a distinguished set of advisors, Qlik will accelerate the responsible development of its AI-driven product portfolio, benefitting from the expertise of some of the world’s most prominent AI experts, to help customers use their data to achieve more significant business outcomes.</p> <p> Qlik’s Generative AI Benchmark Report found that 31% of senior executives plan to spend over $10 million on generative AI initiatives in the coming year and 79% have already invested in generative AI tools or projects. Despite this enthusiasm, it also found that they understand the need to surround them with the right data strategies to realize their potential. If the data building blocks of AI are not governed properly as it is democratized across the entire workforce, it could present a serious threat to the efficiency and integrity of business operations. The AI Council has been established to help Qlik’s customers navigate these challenges and advise on best practices.</p> <p> Members of the Council will work within Qlik to guide the company’s R&D direction, inform its product roadmap and ensure its customers’ use of Qlik’s AI is built with responsibility and ethics front of mind. The Council will also educate Qlik leaders and employees on how to harness the full potential of AI, while providing insights into the priorities of business leaders tasked with demonstrating value from AI investment.</p> <p> The AI Council features some of the most renowned subject matter experts from around the world. More information on these members can be found on our Qlik Staige website:</p> <ul> <li> <strong>Nina Schick – Author, Advisor and Founder of an advisory firm focused on GenAI</strong><br /> A world-leading authority on generative AI, Nina has long been analyzing emerging technology trends for society. With over two decades of geopolitical experience, she has advised global leaders, including Joe Biden, President of the United States, and was articulating her vision of the ‘AI inflexion point’ years before ChatGPT made AI a global phenomenon.</li> </ul> <ul> <li> <strong>Dr. Rumman Chowdhury – Responsible AI leader, engineer, auditor and investor</strong><br /> Rumman is a pioneer in the field of applied algorithmic ethics, creating cutting-edge socio-technical solutions for ethical, explainable and transparent AI. She is currently the CEO and founder of Humane Intelligence, a tech nonprofit that builds a community of practice around algorithmic evaluations. She has also served on multiple boards, including the UK Center for Data Ethics and Innovation, and on UN’s Broadband Commission for Sustainable Development, Oxford University’s Commission on AI and Governance, and Patterns data science journal. Previously, Rumman was the Director of META (ML Ethics, Transparency, and Accountability) team at Twitter, leading a team of applied researchers and engineers to identify and mitigate algorithmic harms on the platform.</li> </ul> <ul> <li> <strong>Kelly Forbes – Co-Founder and Executive Director, AI Asia Pacific Institute</strong><br /> Kelly sits at the intersection of policy, research and industry, working with leading organizations and governments to address the risks associated with AI through international cooperation. With extensive experience in the Asia-Pacific region, Kelly has conducted research on AI governance, public-private dialogue and government policy issues.</li> </ul> <ul> <li> <strong>Dr. Michael Bronstein – DeepMind Professor of Artificial Intelligence, University of Oxford</strong><br /> An award-winning academic, Michael was previously Head of Graph Learning Research at Twitter, a professor at Imperial College London and has held visiting appointments at Stanford, MIT, and Harvard. Michael is also a serial entrepreneur, having founded startups such as Novafora, Invision (acquired by Intel in 2012), Videocites and Fabula AI (acquired by Twitter in 2019).</li> </ul> <p> "The formation of Qlik's AI Council is a strategic leap, reflecting our deep-seated commitment to not just advancing AI, but doing so with ethical integrity and practical applicability," said Mike Capone, CEO of Qlik. "Our goal is crystal clear: to enable our customers to harness AI in a way that's not only transformative, but also responsible. By uniting a cadre of AI luminaries, we are sharpening our focus on delivering AI solutions that are not just cutting-edge, but also seamlessly integrated and governed. This initiative is a pivotal chapter in our journey, marking a bold move towards democratizing AI in a manner that is both accessible and aligned with our core mission of driving substantial, data-driven business outcomes."</p> <p> Data and analytics leaders from around the world can hear from the AI Council at Qlik Connect, which takes place on June 3-5 in Orlando, Florida. At the pre-eminent event for data analytics, integration, and AI, Council members will share their take on the opportunities and challenges for businesses exploring the value of automation in their data strategy. Additional details and event registration is at www.qlikconnect.com</p> <p> “I am excited to join Qlik’s AI Council and work with some of the greatest minds in AI to optimize how businesses around the world use data,” said Rumman Chowdhury, member of Qlik’s AI Council. “We’ve reached an inflection point where innovations like generative AI are impacting the world as the internet did. This is not the time for complacency. ‘Adopting AI’ is not as simple as some suggest, but getting left behind is a risky game. By taking responsible steps, organizations can enter an era of unprecedented innovation – I look forward to being able to contribute to this evolution.”</p> <p> “In working at JBS USA, I recognize the significance of Qlik's advancements in AI, embodying a responsible and pragmatic approach to enterprise AI development,” said Stephanie Robinson, IT Business Intelligence Manager at JBS. “Qlik's dedication to enhancing AI applications aligns with our focus on employing technology to drive substantial business outcomes. We value Qlik's commitment to ethical AI practices and are optimistic about the beneficial impact this will have on the industry.”</p> <p> <strong>About Qlik</strong><br /> Qlik converts complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio leverages advanced, enterprise-grade AI/ML and pervasive data quality. We excel in data integration and governance, offering comprehensive solutions that work with diverse data sources. Intuitive analytics from Qlik uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities. Our AI/ML tools, both practical and scalable, lead to better decisions, faster. As strategic partners, our platform-agnostic technology and expertise make our customers more competitive.</p> <p> 2024 QlikTech International AB. All rights reserved. All company and/or product names may be trade names, trademarks and/or registered trademarks of the respective owners with which they are associated.</p> <p> The development, release and timing of any product or functionality described herein remain at the sole discretion of Qlik and should not be relied upon in making a purchasing decision.</p>
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AI Tech
PSPDFKit | January 23, 2024
PSPDFKit, a leading document processing and manipulation platform, announces the release of XtractFlow – a groundbreaking intelligent document processing (IDP) engine powered by generative AI. XtractFlow provides advanced automation for large-scale document classification and data extraction across a broad range of formats, with human-level accuracy.
Due to the vast and varied document landscape, traditional IDP platforms are inefficient to run, requiring more resources, time and complex processes. Developers and automation project managers may require several days for setup and deployment of document classification, as well as face complexities with data extraction workflows when working with a broad range of formats in order to achieve high levels of accuracy. This is exacerbated by the limitation of using templates and pre-set patterns to extract data.
XtractFlow addresses these challenges by simplifying setup and deployment to a single day and using generative AI from OpenAI and Azure in the first release to intelligently identify the document format, classify the types of documents co-mingled in unstructured storage, and consistently extract data, regardless of its location in the document, with human-level accuracy.
AI-Powered Features
Supports Hundreds of Formats
XtractFlow efficiently extracts data from hundreds of document formats, including PDF, JPEG, Office and CAD files, regardless of document complexity.
Automate Document Classification
With minimal setup, XtractFlow automatically categorizes documents including contracts, legal filings, lab reports, bank statements and more, in high-volume workflows. Developers can easily customize deployment with either the XtractFlow SDK or API.
Extract Data Accurately and Effortlessly
XtractFlow effortlessly interprets and retrieves the data users need, avoiding extensive coding and the strict rules for data extraction with a no-code approach, and enables a natural-language experience for the end users.
"We've always felt we could go far beyond traditional IDP technology — more accuracy and more intelligence — along with less work spent setting and tuning it for specific workflows," says Miloš Đekić, Vice President of Product Management at PSPDFKit. "Generative AI has enabled us to deliver XtractFlow and bring human-level accuracy to document classification and data extraction in a way that significantly accelerates time to value for our customers."
XtractFlow supports PSPDFKit customer data security standards with a strict non-storage policy and aligns with global data retention standards, ensuring integrity and security at every step of your applications and business processes.
About PSPDFKit
PSPDFKit is helping the world innovate beyond paper with its developer tools, API services, and low-code solutions covering the entire document lifecycle from creation, manipulation, real-time collaboration, signing and markup. The company's products cover all major platforms and support a wide range of programming languages and can be deployed on-premise or in the cloud with ease and at any scale. PSPDFKit has earned its developer first reputation by pioneering products that are easily integrated, completely customizable to fit any deployment and workflow, and trusted by startups, SMBs and some of the largest multinational enterprises.
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