Curated for content, computing, data, information, and digital experience professionals

Category: Computing & data (Page 66 of 91)

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.

Adobe announces AI customer experience capabilities

Adobe announced new capabilities to their Intelligent Services with AI throughout organizations to improve customer experience, giving brands access to smarter workflows and real-time scalability.

Content and Commerce AI
Now in beta, Content and Commerce AI helps brands understand context around how the content is performing in market, by delivering insights and guidance on content features such as colors, or subjects. Brands can combine the power of Adobe Experience Manager with Content and Commerce AI to automatically extract keywords and tags from documents and content fragments, as well as label documents and images with custom AI models, a process that previously could take a long time and manual effort. For example, a retailer can automatically label and quantify the color composition of an image, and deliver visually similar product recommendations to customers based on intuitive product features such as shape, design and color, based on customer actions. The use of content intelligence can also be important for B2B businesses. Search based on color metadata or visual similarity can be used by franchisees to optimize their product selections from catalogs.

Customer AI in Real-Time CDP
Adobe’s Real-time CDP bridges marketing and IT, helping brands find meaning in different data sets, from CRM to online analytics to offline point of sale (POS). Available today, brands can leverage Customer AI within Adobe’s Real-time CDP to analyze historical and real-time data to dig deeper and understand the underlying reasons behind customer actions. Customer AI in Real-time CDP will help brands understand and predict customer propensity such as the likelihood to convert or churn along with the reasons behind their actions.

https://blog.adobe.com/en/2020/10/12/adobe-announces-ai-powered-customer-experience-capabilities.html

Cloudflare announces Cloudflare One

Cloudflare, Inc. released Cloudflare One, a comprehensive, cloud-based network-as-a-service solution for your workforce. Now businesses can protect their workforce in a flexible and scalable way, without compromising security as distributed teams work from multiple devices and personal networks.

Companies have traditionally used a castle-and-moat approach to security, creating a barrier between the enterprise network and external threats. Now that applications have moved to the cloud, and more employees have moved outside of the office, that model is broken. Today’s new landscape calls for a Zero Trust approach, where organizations do not automatically trust any requests to corporate data or resources, and instead, verify every attempt to connect to corporate systems before allowing them access.

Cloudflare One gives businesses multiple on-ramps to the public Internet from offices, to data centers, to employees in-the-field, and connects traffic to Cloudflare’s comprehensive Zero Trust solution. This unified solution enables fast and safe connections to workplace applications, allows teams to use an app without exposing it to the public Internet, makes personal devices safe for business use, and works in any environment with any cloud provider.

Cloudflare One provides a unified set of tools for a Zero Trust solution, giving organizations a one-stop-shop to do things like:

  • Secure every connection: Remote employees can get the same protection they’d expect from a corporate firewall no matter where they are working from.
  • Protect against Zero-Day attacks: Cloudflare’s remote browser isolation technology creates a gap between a user’s browser and endpoint, protecting devices and networks from exploits and attacks.
  • Integrate with the security solutions you’re using: Cloudflare connects with identity platforms like Okta, Onelogin, and Ping Identity, and endpoint protection platforms like CrowdStrike, VMware Carbon Black, Tanium, and SentinelOne to verify identity and assess device health before granting access to applications.
  • Monitor and manage your network with a single pane of glass: With Cloudflare’s firewall features, businesses get a comprehensive view of all data flows globally, across data centers, branch offices, clouds, and endpoints and can mitigate intrusions and threats across the entire network.

https://blog.cloudflare.com/introducing-cloudflare-one/

Zero Trust

Zero trust (ZT) is the term for an evolving set of cybersecurity paradigms that move defenses from static, network-based perimeters to focus on users, assets, and resources. A zero trust architecture (ZTA) uses zero trust principles to plan industrial and enterprise infrastructure and workflows. Zero trust assumes there is no implicit trust granted to assets or user accounts based solely on their physical or network location (i.e., local area networks versus the internet) or based on asset ownership (enterprise or personally owned). Authentication and authorization (both subject and device) are discrete functions performed before a session to an enterprise resource is established. Zero trust is a response to enterprise network trends that include remote users, bring your own device (BYOD), and cloud-based assets that are not located within an enterprise-owned network boundary. Zero trust focuses on protecting resources (assets, services, workflows, network accounts, etc.), not network segments, as the network location is no longer seen as the prime component to the security posture of the resource. This document contains an abstract definition of zero trust architecture (ZTA) and gives general deployment models and use cases where zero trust could improve an enterprise’s overall information technology security posture.

For more details see this NIST publication: https://csrc.nist.gov/publications/detail/sp/800-207/final

MarkLogic to be acquired by Vector Capital

Vector Capital, a private equity firm, announced it has entered into a definitive agreement to acquire MarkLogic Corporation, a provider of enterprise data integration and data management solutions. MarkLogic’s technology simplifies the integration of enterprise data across silos to provide. MarkLogic Data Hub Service is a managed cloud data platform that is able to assemble raw data, index it in real time for semantic search, and provide the ability to securely run operational and analytical applications. Over 2,500 customers including government agencies, financial services firms, insurance companies, manufacturing businesses, media companies, healthcare providers, and others utilize MarkLogic as a solution to simplify data integration. The proposed transaction is subject to customary closing conditions and is expected to close in the fourth quarter of 2020.

https://www.marklogic.com, https://www.vectorcapital.com

Gilbane Advisor 10-7-20 — GPT-3, Qubits, AGI, Wayback

AI democratization in the era of GPT-3

The recent announcement of Microsoft’s exclusive license to OpenAI’s GPT-3 says that in addition to using it for their own products, they will continue to work with OpenAI to help “democratize AI”. The GPT-3 code is not open source, but OpenAI provides free access to GPT-3 via an API, and says it will continue to do so. We’re left to speculate what this means beyond that. Will future models provide free access? Will they be exclusively licensed to Microsoft (an investor) or others? What does democratization in this context mean? Without making a value judgement about this, it’s clear that those building applications using GPT-3 API will have a lot of additional questions.

This article by Professor Mark Riedl from Georgia Institute of Technology is a great place to start.

Are you ready for quantum computing?​​

Quantum computing isn’t ready for prime time for practical business application yet, but it has lots of promise for industry use beyond encryption. Quantum computing is difficult for most of us to get our head around, nonetheless, senior executives and strategists need to track its progress and consider potential use cases. Fortunately, Professor of Physics and Computer Science, Shohini Ghose has provided a short and accessible general introduction, hype-free status update, and some good advice for business leaders.

Artificial General Intelligence (AGI), a type of artificial intelligence that is at least as capable as human intelligence, is not a near-term reality. Ben Medlock agrees, and argues that humans have an unfair advantage in the scope and richness of our model, and that though we don’t know how, our bodies play a critical role in creating and maintaining our model.

This means that when a human approaches a new problem, most of the hard work has already been done. In ways that we’re only just beginning to understand, our body and brain, from the cellular level upwards, have already built a model of the world that we can apply almost instantly to a wide array of challenges. But for an AI algorithm, the process begins from scratch each time.

The weaponization of web archives: Data craft and COVID-19 publics

An enlightening academic look at provenance-hijacking tactics focused on current pandemic health misinformation.

Using provenance information such as original context, technical specificities, and unique characteristics of online resources from web crawls, and social analytics data from the Crowdtangle API we find that web archives like the Internet Archive’s Wayback Machine are being weaponized to propagate and preserve health misinformation circulating on platforms like Facebook and Twitter.

Also…

The Gilbane Advisor is curated by Frank Gilbane for content technology, computing, and digital experience professionals. The focus is on strategic technologies. We publish more or less twice a month except for August and December. We do not sell or share personal data.

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O’Reilly launches O’Reilly Answers

O’Reilly announced the launch of O’Reilly Answers, an advanced natural language processing (NLP) engine that delivers quick, contextually relevant answers to challenging technical questions posed by users through O’Reilly online learning. With a one-click integration into Slack, O’Reilly Answers helps users learn from and discover content. Leveraging advanced machine learning techniques, the O’Reilly Answers search engine provides relevant highlights and snippets from O’Reilly’s library of expert content across thousands of O’Reilly’s titles, pointing users directly to only the most applicable resources. To encourage deeper discovery, the feature allows users to drill down into full content pieces from referenced titles. To further improve productivity, all functions of O’Reilly Answers are available through a simple Slack Integration.

https://www.oreilly.com/online-learning/

Dstl releases free Baleen 3 data processing update

The Defence Science and Technology Laboratory (Dstl) has released a new free version of its popular data processing tool. Baleen 3 is a tool for building data processing pipelines using the open source Annot8 framework and succeeds Baleen 2, one of the first open source projects by Dstl, the science inside UK defence and security. It offers users the ability to search, process and collate data, and is suitable for personal and commercial applications. It has been used across government, and by industry and academia, and also internationally as well as in the UK.

The tool enables the creation of a bespoke chain of “processors” to extract information from unstructured data (e.g. text documents, images). For example, Baleen 3 could process a folder with thousands of Word Documents and PDFs in it to extract all e-mail addresses and phone numbers in those documents and store them in a database. As well as text, Baleen 3 can also find and extract images within those documents, perform OCR to find text within those images, translate that text into English, and then run machine learning models to find mentions of People within those images. Baleen 3 supports components developed within the Annot8 framework, and as a result it is easy to extend and develop further to cover new use cases and provide additional functionality. There are already a large number of components available for use within the Annot8 framework, including some previously developed by Dstl.

Following the release of Baleen 3, support for the existing Baleen 2 project will be withdrawn. Dstl is encouraging all users to move to using Baleen 3 where possible. Baleen 3 is built on top of newer technologies, and will be easier to maintain and deploy as a result of the upgrade. It also extends Baleen 2’s focus on text to support other forms of unstructured data, such as images. Baleen 3 is available to download now.

https://github.com/dstl/baleen

Expert System announces rebrand to Expert.ai

With more than 20 years’ industry experience in the Artificial Intelligence market, Expert System has rebranded to become expert.ai. This effort highlights the company’s vision to redefine what is possible in extracting value from language to make the most of information. As the AI market evolves, there is a growing demand from organizations to easily transform their information into knowledge and insight for better decision making with speed and accuracy. As part of this go to market transition, expert.ai is introducing a new logo, new corporate image and new website. The rebrand follows the rollout of the company’s 2020-2024 strategic plan which aims to accelerate global growth and capitalize on the flourishing artificial intelligence market and a newly released cloud-based Natural Language API.

https://expert.ai

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