SnapLogic, provider of the Intelligent Integration Platform, announced that it now supports SaaS contracts in AWS Marketplace, a digital catalog with thousands of software listings from independent software vendors that make it easy to find, test, buy, and deploy software that runs on Amazon Web Services (AWS). SnapLogic’s Intelligent Integration Platform uses AI workflows to automate all stages of IT integration projects – design, development, deployment, and maintenance – whether on-premises, in the cloud, or in hybrid environments. With availability in AWS Marketplace, customers can now leverage SnapLogic’s self-service interface to give both expert and citizen integrators the ability to manage all their application and data integration projects on a single, scalable platform. With SnapLogic, organizations can move data from hundreds of apps and data sources into Amazon Redshift with just a few clicks. Fast integration and accurate analysis are critical elements of digital transformation success. Customers also benefit from a simplified software procurement experience by leveraging their existing payment terms with AWS, and get consolidated billing for all of their AWS services, software, and SaaS product usage. SnapLogic is an AWS Advanced Technology Partner that has achieved AWS Data and Analytics Competency status as well as Amazon Redshift Ready designation.
Category: Computing & data (Page 52 of 80)
Computing and data is a broad category. Our coverage of computing is largely limited to software, and we are mostly focused on unstructured data, semi-structured data, or mixed data that includes structured data.
Topics include computing platforms, analytics, data science, data modeling, database technologies, machine learning / AI, Internet of Things (IoT), blockchain, augmented reality, bots, programming languages, natural language processing applications such as machine translation, and knowledge graphs.
Related categories: Semantic technologies, Web technologies & information standards, and Internet and platforms.
Expert.ai is launching two products at this week’s KMWorld & Text Analytics Forum Connect 2020: expert.ai Studio, an intelliJ plug-in for simplifying natural language processing applications (NLP) development, and expert.ai Edge NL API for enabling seamless artificial intelligence (AI) deployment on premise or on a private cloud.
Expert.ai Studio leverages expert.ai natural language understanding (NLU) abilities to streamline the development of NLP applications. Users can take advantage of core AI features for categorization, extraction, and sentiment analysis to build language based custom applications. With the out-of the-box expert.ai knowledge graph, developers and data scientists can reduce development time and training costs while gaining precise comprehension of their content so that it can be used more efficiently and at scale to support business operations. Expert.ai Studio provides a friendly dashboard to support advanced testing through a rich set of metrics that provides input to reach a high level of accuracy.
Expert.ai Edge NL API enables developers and data scientists to run NLP applications built with expert.ai Studio locally or on their private cloud as well as apply expert.ai capabilities to other information-intensive applications or integrate them in any pre-existing workflow, database or legacy product. Expert.ai Studio and Edge API are free, and come with sample projects and software development kits (SDKs) to help developers get started.
Tim Berners-Lee’s (unedited) announcement…
Today marks a huge milestone in Inrupt’s journey to deliver on my vision for a vibrant web of shared benefit and opportunity. I’m thrilled that the first enterprise-ready version of a Solid Server, Inrupt’s ESS, is now available for businesses and organizations. It’s the fruit of two years of work by our outstanding team. These technologies will fundamentally change how organizations connect people with their data and create value together. It’s going to drive groundbreaking new opportunities that not only restore trust in data but also enhance our lives.
We’ve reached this milestone alongside a trusted cohort of early adopters including the BBC, NatWest Bank, the UK’s National Health Service, and the Flanders Government. They’re each proving what’s possible for their users by changing the way they think about, share, and use data. You can read more about these important pilots in this blog post from Inrupt CEO, John Bruce.
The web was always meant to be a platform for creativity, collaboration, and free invention – but that’s not what we are seeing today. Today, business transformation is hampered by different parts of one’s life being managed by different silos, each of which looks after one vertical slice of life, but where the users and teams can’t get the insight from connecting that data. Meanwhile, that data is exploited by the silo in question, leading to increasing, very reasonable, public skepticism about how personal data is being misused. That in turn has led to increasingly complex data regulations.
There had to be a better way. The Solid architecture provides that better way.
I founded Inrupt to trigger an inevitable shift in how the web operates, to mobilize resources and set a long-term direction in motion. Today that shift takes a significant step.
The technologies we’re releasing today are a component of a much-needed course correction for the web. It’s exciting to see organizations using Solid to improve the lives of everyday people – through better healthcare, more efficient government services and much more.
These first major deployments of the technology will kick off the network effect necessary to ensure the benefits of Solid will be appreciated on a massive scale. Once users have a Solid Pod, the data there can be extended, linked, and repurposed in valuable new ways. And Solid’s growing community of developers can be rest assured that their apps will benefit from the widespread adoption of reliable Solid Pods, already populated with valuable data that users are empowered to share.
Ultimately, this new foundation of trust and cooperation will lead to entirely new business models that actually benefit users as well.
Starting today, more organizations worldwide can take the first step towards building a trusted web where innovation flourishes, and everyone – businesses, developers, and web users – share the benefits. We hope you’ll join us on this exciting journey.
https://inrupt.com/innovation-trust-data
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Inrupt is delivering Sir Tim Berners-Lee’s original vision of a web of shared benefit, for everyone. We are a worldwide team of inventors, investors, entrepreneurs, developers and academics who believe in Sir Tim’s vision for the web. Inrupt’s technology puts individuals in control of their data, gives organizations new opportunities to create value for customers, and allows developers to thrive in an open marketplace of innovation.
Inrupt creators Solid, a technology for organizing data, applications, and identities on the web. Solid enables richer choices for people, organizations and app developers by building on existing web standards.
It’s the InDesign Markup Language from Adobe. Adobe defines IDML as an XML-based format for representing InDesign content. IDML effectively allows for backwards compatibility with newer versions of Adobe InDesign. It’s also a great way to back up your file.
Microsoft announced the addition of Hindi as the latest language under its Text Analytics service to support businesses and organizations with customer Sentiment Analysis. Text Analytics is part of the Microsoft Azure Cognitive Services. Using this service, organizations can find out what people think of their brand or topic as this enables analyzing Hindi text for clues about positive, neutral, or negative sentiment. The Text Analytics service can be used for any textual/audio input or feedback in combination with Azure Speech-to-Text service. Microsoft’s Text Analytics service uses the latest AI models to analyze content in Hindi, using Natural Language Processing (NLP) for text mining and text analysis. The functionality provided by Text Analytics include sentiment analysis, opinion mining, key phrase extraction, language detection, named entity recognition, and PII detection. Sentiment analysis currently supports more than 20 languages including Hindi.
Microsoft Text Analytics service’s Sentiment Analysis feature evaluates text and returns confidence scores between 0 and 1 for positive, neutral, and negative sentiment for each document and sentences within a document. The service also provides sentiment labels (such as “negative”, “neutral” and “positive”) based on the highest confidence score at a sentence and document-level. It can be accessed from Azure cloud and on-prem using Containers. This helps brands in detecting positive and negative tonality in customer reviews, social media & call center conversations, and forum discussions, among other channels no matter where their data resides.
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Google Cloud announced the new Document AI (DocAI) platform, a unified console for document processing. Transforming documents into structured data increases the speed of decision making for companies, unlocking business value and helping develop better experiences for customers. Historically, doing this at scale hasn’t been efficient. DocAI is designed to help businesses use Artificial Intelligence (AI) and machine learning to automate these processes. Today, the DocAI platform is available in preview, enabling you to:
- Ensure your data is accurate and compliant: Automate and validate all your documents to streamline compliance workflows, reduce guesswork, and keep data accurate and compliant.
- Make better business decisions: Improve operational efficiency by extracting structured data from unstructured documents and making that available to your business applications and users.
- Use your data to meet customer expectations: Leverage insights to meet customer expectations and improve CSAT, advocacy, lifetime value, and spend.
With the new DocAI platform, you can access all parsers, tools and solutions (e.g. Lending DocAI, Procurement DocAI) with a unified API, enabling a document solution from evaluation to deployment. It allows creation and customization of document processing workflows. Data extraction is now easier because the specialized parsers on the platform are built with Google Cloud’s predefined taxonomy, without the need to perform additional data mapping or training. General parsers such as OCR (Optical Character Recognition), Form parser, and Document splitter are publicly accessible. You can also request access to specialized parsers such as W9, 1040, W2, 1099-MISC, 1003, invoice, and receipts.
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Sentiment analysis (also known as opinion mining or emotion AI) refers to the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information. Sentiment analysis is widely applied to voice of the customer materials such as reviews and survey responses, online and social media, and healthcare materials for applications that range from marketing to customer service to clinical medicine.
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