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.
Optimizely, a digital experience platform (DXP) provider, today announced its Web Experimentation and Full Stack solutions are now available on the Google Cloud Marketplace, which makes it easy for Google Cloud customers to purchase both products. Optimizely’s experimentation solutions aim to remove the guesswork from delivering personalized, meaningful engagements through science-backed data to improve customer experience (CX) and drive business outcomes.
The launch comes six months after Optimizely announced it had entered a multi-year, strategic partnership with Google Cloud to deliver next-gen experimentation solutions and move its experimentation solutions to Google Cloud. As part of the ongoing partnership, Optimizely and Google Cloud will coordinate a joint go-to-market and sales execution strategy to seamlessly deliver scalable, end-to-end experimentation solutions to customers across the globe.
Umbraco announced US data hosting option. U.S. digital agencies and other organizations that are required to store data in-country can now use Umbraco Cloud to build their websites and other digital applications. Starting today, the content management system (CMS) provider will enable U.S. agencies and customers evaluating Umbraco Cloud as their development and hosting platform to choose a U.S. regional hosting option for improved performance and easier compliance with stringent data policies and privacy requirements.
Until now, the Umbraco Cloud development and hosting service has been located exclusively in Europe, close to Umbraco headquarters in Odense, Denmark. This hosting option has been used by more than 1500 international solution partners implementing Umbraco projects, with more than 200 of those partners in the U.S. alone.
Umbraco Cloud is a one-stop shop for Umbraco development and hosting with the open-source .NET CMS Core. All Umbraco Cloud projects are hosted on Microsoft Azure. The U.S. data center is located in Virginia. Umbraco Cloud offers a managed hosting infrastructure that actively monitors the service at all times (24/7), so agencies and customers can focus on developing their projects on Umbraco CMS.
Apollo GraphQL and MongoDB, Inc., announced a technology partnership that helps app developers build richer experiences faster, and reduce technical debt with a graph-native data layer. The partnership makes it easier for developers and teams to directly connect any supergraph powered by Apollo to a MongoDB Atlas database. Together, an Apollo supergraph and MongoDB Atlas create a composable and scalable GraphQL data layer. It provides developers with everything they need to efficiently use GraphQL:
A unified API, so app developers can rapidly create new experiences
A modular API layer, so each team can independently own their slice of the graph
A seamless, high-performance, flexible data layer that scales alongside API consumption
MongoDB’s flexible database paired with the GraphQL query language allows developers to work with the database in the language of their choice with a standardized spec that has large community adoption. With the nested document model, developers can model and query data intuitively without the complexity of mapping GraphQL to relational data and defining relationships across tables. When used with MongoDB Atlas’s multi-region and multi-cloud capabilities, an Apollo supergraph gives its developers a GraphQL layer to create end-user experiences for their apps and services.
Botminds AI announced the availability of Botminds Document AI platform in the Microsoft Azure Marketplace, an online store providing applications, and services for use on Azure. Botminds’ customers can now take advantage of the Azure cloud platform, with streamlined deployment and management.
Botminds is an integrated platform for Document Understanding/Intelligent Document Processing (IDP). Botminds provides AI-powered solutions that read and understand documents, a search engine to query any document, enriched document analytics, and end-to-end document-based process automation. Custom AI models, help organizations transform data into intelligent actionable insights in a matter of weeks.
The Azure Marketplace is an online market for buying and selling cloud solutions certified to run on Azure. The Azure Marketplace helps connect companies seeking cloud-based solutions with partners who have developed solutions that are ready to use.
Access Innovations, Inc., provider of Data Harmony software solutions, announced the release of their new Recommender as part of the Data Harmony Suite. Recommender is now available to all Data Harmony clients using versions 3.16 or higher.
Recommender uses the semantic fingerprint of an article, its subject metadata tagging, matching to other articles and content within the database. When the searcher finds an article they like, the Recommender automatically displays other items with the same semantic fingerprint nearby on the search interface. This allows immediate display of highly relevant content to the search without scrolling and frustration in trying to find similar items. It also allows for display of other relevant content such as conference papers, ads, books, meetings, expert profiles, and so forth.
This is not based on personalization profiles or purchasing history. By using the metadata weighting and other algorithms it provides only items relevant to the current query faster search and the surfacing of more related information to the user.
For those interested in using Recommender there are two prerequisites: 1) the content needs to be indexed or tagged using a controlled vocabulary like a thesaurus or taxonomy, and 2) the search interface needs to be able to accommodate the API call to the tagged data and subsequent display of the results.
The second post from Girish Altekar on Intrepid technology and applications*. The introductory post is here and all our re-published intrepid posts are here.
Let’s look at the Travel Intrepid.
When attempting to book a travel plan that is the cheapest or has the most convenient schedule or is the most flexible, we typically use multiple travel sites and go through multiple iterations with dates, connecting cities etc. to arrive at an optimum booking. In each of the iterations, reentry of travel dates, preferences, and other pieces of data is required. Even after an acceptable itinerary is created, travel info, passport info, Known Traveler Numbers etc. for all travelers in your family needs to be reentered again and again for every trip you plan.
Try the Travel Profile Intrepid (at https://lnkd.in/gPVvfci2), a structured version of your family’s travel profile. This profile allows you to capture your family’s relatively static travel data and preferences, and you can create a new one for a new trip by changing only the trip data (dates, destinations etc.). Once a trip/travel profile is created, you can use it to search for itineraries many times at Intrepid compatible sites by simply tweaking the new Travel Intrepid. When an itinerary is created, all the data needed to book the itinerary is already with the travel provider.
Create your own Travel Profile Intrepid at https://lnkd.in/gPVvfci2 and upload it back to see its contents. For testing, you can create it with as much or as little, real, or fake, data. Only your correct email is required to deliver your Travel Profile Intrepid to you. All data entered at intrep-id.com is purged when the Intrepid is transmitted – none of it is stored. Try it out.
Travel Intrepid – this Resume Intrepid Other Intrepids Personal Health Profile Intrepid Data Preferences Intrepid Support / Receipt Intrepid An Invoicing / Payment application State Government Applications Summing it up And Current Status
This is a guest post from friend and colleague Girish Altekar, who has been working on this idea and technology for some time. I have been involved as an advisor for a couple of years, and will be republishing the series of posts he refers to below. Check it out…
Be Intrepid on the web
Over the next few days, we take the wraps off a new way to manage personal data. We will showcase applications that empower individuals to manage and reuse their data efficiently while enhancing data privacy, increasing data control, and facilitating genuine competitiveness in marketplaces they are interested in. Our Intrepids technology is a liberating technology for data owners as, untethered from call centers, complex web sites, and repeated data entry, data owners are free to go about their lives feeling secure about their personal data and knowing that their Intrepid driven requests are being honored accurately.
Businesses benefit also. The authentication and accuracy that is built into Intrepid driven data transfer empowers business applications to rely on actual dependable user data, instead of screen scraping and heuristics. Dependable data reduces the need for data verification and cleansing and drives the creation of new innovative applications that reduce business costs and improve customer experience.
A key difference between Intrepids and other approaches is that user data encapsulated in Intrepids stays with users, not with intrep-id.com or related servers. Intrepid servers facilitate the data transfer, but all user data is purged when the requested user transaction is completed.
These posts are intended to generate two kinds of interest.
We want to see if there is user interest in a privacy mechanism such as Intrepids. Please feel free to try out any application and give us your feedback if you think Intrepids, if/when widely adopted, may be useful to you.
We are also looking for strategic business partners who may be interested in exploring the use of Intrepids for their businesses and customers. Remember that any repetitive or burdensome data transfer can be eliminated by using Intrepids.
We would be honored if you felt like passing these posts on to colleagues and friends who may have an interest.
In the next post we start with the first Intrepid example.
Future Topics
Previous Intrepid related posts available at intrep-id.com.
Kontent by Kentico announced that they raised an investment of $40 million from Expedition Growth Capital and became a standalone enterprise. Now Kontent.ai, which originally started in 2015 as an internal startup within Kentico, will operate as a separate company, focused on targeting high-level enterprise organizations. This allows Kentico Xperience to return to its roots and refresh its name to Kentico. Petr Palas, the founder of Kentico, is now Chairman of the Board for both companies and the newly formed board has appointed Dominik Pinter, as Chief Executive Officer of Kentico.
Kentico started with a content management system (CMS) in 2004 and have since created two products: a digital experience platform (DXP) with content management, digital marketing, and commerce capabilities, and a headless CMS. In May 2020, the company split into two divisions; Kentico Xperience (DXP) and Kontent by Kentico (headless CMS).
The investment into the Kontent by Kentico division will be redirected straight into the DXP. With heavy investment in product development, the plan is to hire at least 60 more people over the next 12 months to join the 160+ global team.
