Author: Frank Gilbane (Page 12 of 72)

Gilbane Advisor 7-27-22 — Databricks vs. Snowflake, Apple futures

July 27, 2022 / Frank Gilbane

Hello Reader:

This week we feature articles from Tony Baer, and the CB Insights team.

Additional reading comes from Loraine Lawson, James Vincent, Zhengpeng Li, Jiansheng Wu, Jiawei Miao & Xinmiao Yu, and Anil Tilbe.

News comes from Access Innovations, IBM, Squarespace, and Botminds.

👉 We don’t usually publish the newsletter in August, though we sometimes can’t resist a post or tweet or two. We will return to our weekly schedule in September. In the meantime, if you’ve missed any of the past 53 issues you can see them here; those, as well as all older issues can be found here.

Opinion / Analysis

Data chess game: Databricks vs. Snowflake

Tony Baer argues that MongoDB, Snowflake and Databricks are the hottest companies in position to own the enterprise cloud data platform market. In this post he focuses on the competition between Databricks and Snowflake in a useful comparison. In a follow-up post, not live yet as I write this, he will consider what more Databricks, MongoDB and Snowflake need to do to appeal to the broader enterprise. (6 min)

https://venturebeat.com/2022/07/25/data-chess-game-databricks-vs-snowflake-part-1/

Analyzing Apple’s growth strategy

From digital health to AI, we look at where Apple is acquiring, investing, and partnering. Discover the Apple strategy map.

The CB Insights team does such a great job of content marketing that I’ve been following them for years without becoming a client. I mean this as a compliment — they are smart, funny, generous with free research, and have grown quickly as a result. Oh, and they don’t pay me either. (6 min)

https://www.cbinsights.com/research/apple-strategy-map-investments-partnerships-acquisitions/

All Gilbane Advisor issues

Content technology news

Data Harmony suite Recommender released

To improve article and content searches with semantic fingerprinting; automatically displays items with the same semantic fingerprint nearby.
https://gilbane.com/2022/07/data-harmony-suite-recommender-released/

IBM Research open-sources toolkit for Deep Search

The release of Deep Search for Scientific Discovery (DS4SD), is an open-source toolkit for scientific research and businesses.
https://gilbane.com/2022/07/ibm-research-open-sources-toolkit-for-deep-search/

Squarespace launches Fluid Engine

Their next generation website design system makes it possible for beginners or pros to achieve professional designs for mobile and websites.
https://gilbane.com/2022/07/squarespace-launches-fluid-engine/

Botminds Document AI now available in Microsoft Azure Marketplace

Botminds provides AI-powered solutions that read and understand documents, a search engine, document analytics, and document-based process automation.
https://gilbane.com/2022/07/botminds-document-ai-now-available-in-microsoft-azure-marketplace/

All content technology news

The Gilbane Advisor is curated by Frank Gilbane for content technology, computing, and digital experience professionals. The focus is on strategic technologies. We publish recommended articles and content technology news weekly. We do not sell or share personal data.

The universe of Intrepid applications is large, part 2

July 21, 2022 / Frank Gilbane

The fifth post from Girish Altekar on Intrepid technology and applications*. The introductory post is here and all our re-published intrepid posts are here.

Here is the second half of the previous post. Let us know if you can think of other uses.

Covid Passport – A Covid Passport Intrepid would have been easy to manage and use. Only access to a central verification database would have been required. https://lnkd.in/g-ZFbNfe

Driver’s License – When you are required to provide your driver’s license number to applications. Using a Bluetooth or NFC receiver can enable the delivery of the license anywhere. We are aware there are large State govt. efforts to create smartphone-based DL systems. https://lnkd.in/gjCZ68Vc

Home/House – The House Intrepid encapsulates all the features of a house so you can apply for a mortgage, sell, insure, make a claim against. Ideally this Intrepid is created when the architectural plans of a house are created, and then transmitted to every subsequent owner. When remodeled, the house Intrepid can be easily updated. No need to depend on 3rd party home descriptions that are generally riddled with inaccuracies. https://lnkd.in/gyR5G67T

Vehicle Info – The Vehicle Intrepid captures your vehicle data to assist you in selling, insuring, and providing vehicle data to registration, repair, and other applications. https://lnkd.in/gSmTXDQK

Over time we will create many more vocabularies to describe more facets of our lives and the data associated with them. When Intrepids are accepted by applications, the transaction time, and the effort to complete your daily tasks will be vastly minimized.

We are interested in your feedback. https://lnkd.in/gm3fAPhP

Previous Intrepid related posts available at intrep-id.com.
Introduction – https://lnkd.in/g7VyFyya
Travel Intrepid – https://lnkd.in/gPVvfci2
Resume Intrepid – https://lnkd.in/gaz-SBeu

Future Topics

Other Intrepids – this
Personal Health Profile Intrepid
Data Preferences Intrepid
Support / Receipt Intrepid
An Invoicing / Payment application
State Government Applications
Summing it up And Current Status

https://intrep-id.com

*Disclosure: I am an advisor to the Intrepid team.

The universe of Intrepid applications is large, part 1

July 21, 2022 / Frank Gilbane

The fourth post from Girish Altekar on Intrepid technology and applications*. The introductory post is here and all our re-published intrepid posts are here.

In previous posts, we introduced 2 applications, resume and travel, to introduce the process, and to demonstrate how data ownership using a structured format enables rapid reuse. Here are some more uses (split over 2 posts). Let us know if you can think of other uses.

Login – Admittedly not the most compelling of Intrepid applications. There are many browser or non-browser-based solutions, including recently announced Fido based password-less login by Apple. Nevertheless, the use of a login Intrepid is quick and enables multifactor authentication including biometrics in the same easy private process. https://lnkd.in/gWay5-zD

Personal Contact – Your personal name, address, phone, email data. https://lnkd.in/g9vHJ8un

Business Card – Your Intrepid Business card. You may need these when you are filling out a loan application, for instance, and are required to provide this information in ten different forms. https://lnkd.in/g6Jkzdau

Credit Card – Yes, many browsers scrape this information and there are e-wallets that attempt to store all your cards but creating Credit Card Intrepids for your multiple payment methods enable clear, unambiguous, and rapid use of credit cards without the necessity to hand this data to an intermediary. Credit Card Intrepids also enable rapid update of autopay data should an existing card be compromised and replaced. https://lnkd.in/g3kw_HWj

Bank Account – If you wish to avoid the 3-4% surcharge on credit card payments, you may use your Bank Account Intrepid for direct bank account payments. Other payment mechanisms haven’t been created yet, but the same process can apply to any online payment system, including crypto. https://lnkd.in/gx34zBdg

We are interested in your feedback. https://lnkd.in/gm3fAPhP

Previous Intrepid related posts available at intrep-id.com.
Introduction – https://lnkd.in/g7VyFyya
Travel Intrepid – https://lnkd.in/gPVvfci2
Resume Intrepid – https://lnkd.in/gaz-SBeu

Future Topics

https://intrep-id.com

*Disclosure: I am an advisor to the Intrepid team.

Gilbane Advisor 7-20-22 — BERTopic, Python NLP libraries

July 20, 2022 / Frank Gilbane

Hello Reader:

This week we feature articles from Moez Ali, and Dan Robinson.

Additional reading comes from Ingrid Lunden, Michael Eisenstein, and Denise-Marie Ordway.

News comes from Netlify, Intrep-ID, Sitecore, Kentico, and Elastic.

Reminder: If you’ve missed any recent issues you can see them here.

Opinion / Analysis

Is LDA topic modeling dead?

If you’re a topic modeling geek you’ll want to check out Dan Robinson’s deep dive on how BERTopic addresses a couple of the important limitations of LDA. (14 min)

https://towardsdatascience.com/is-lda-topic-modeling-dead-9543c18488fa

Natural language processing (NLP) Python libraries in 2022

Python has a growing ecosystem of open-source NLP libraries. This article lists down some of the really useful NLP libraries in Python in no particular order.

Moez Ali suggests the current top Python libraries are: Hugging Face Transformers, NLTK, spaCy, Gensim, and Flair. (4 min)

https://moez-62905.medium.com/top-natural-language-processing-nlp-python-libraries-in-2022-c8f77b56e442

All Gilbane Advisor issues

Content technology news

Introduction to Intrepids

A way to manage personal data. Individuals can manage and reuse their data efficiently while enhancing data privacy, and increasing data control.
https://gilbane.com/2022/07/introduction-to-intrepids/

Sitecore releases Experience Manager Cloud (XM Cloud)

They have transitioned the core CMS solution including personalization and the content authoring experience, to a modern cloud architecture.
https://gilbane.com/2022/07/sitecore-releases-experience-manager-cloud-xm-cloud/

Netlify announces investments for the Jamstack Innovation Fund

To support early-stage companies that are driving forward the modern web by arming developer teams with Jamstack-based tooling and practices.
https://gilbane.com/2022/07/netlify-announces-investments-for-the-jamstack-innovation-fund/

Kentico to focus on CMS & DXP

Raised an investment of $40 million from Expedition Growth Capital and became a standalone enterprise. Kontent.ai is now a separate company.
https://gilbane.com/2022/07/kentico-to-focus-on-cms-dxp/

Elastic enhances cross-cluster search and replication

Enables users to search across multiple clusters and visualize data in one view, and replicate data between clusters regardless of physical location.
https://gilbane.com/2022/07/elastic-enhances-cross-cluster-search-and-replication/

All content technology news

Resume Intrepid

July 18, 2022 / Frank Gilbane

The third post from Girish Altekar on Intrepid technology and applications*. The introductory post is here and all our re-published intrepid posts are here.

Next, we look at the Intrepid Resume (https://lnkd.in/gaz-SBeu), a structured version of your resume.

The idea behind the Intrepid Resume is that instead of storing CV/Resume data information in Word (and subsequently pdf files), this data can be stored in a Resume Intrepid so it can be shared and repurposed to many applications; think not just recruiters, but also conference bios, publications, paper submissions, employment history during a mortgage or rental application, etc. Creating a structured resume allows an easy and quick transmission and reuse of your resume data.

The receiving application can take any subset of the Intrepid data and use it for their purposes. These applications can analyze the data to extract intelligence about candidates and can build a more complete picture of the applicant without the guesswork of heuristics.

You can create your own Resume on the Intrepid Resume (https://lnkd.in/gaz-SBeu) page 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 Resume 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.

We are interested in your feedback. https://lnkd.in/gm3fAPhP

Previous Intrepid related posts available at intrep-id.com.

Introduction – https://lnkd.in/g7VyFyya
Travel Intrepid – https://lnkd.in/gPVvfci2

Future Topics

Resume Intrepid – this
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

https://intrep-id.com

*Disclosure: I am an advisor to the Intrepid team.

Travel Intrepid

July 13, 2022 / Frank Gilbane

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.

We are interested in your feedback. https://lnkd.in/gm3fAPh

Previous Intrepid related posts available at intrep-id.com.

Introduction – https://lnkd.in/g7VyFyya

Future Topics

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

https://intrep-id.com

*Disclosure: I am an advisor to the Intrepid team.

Introduction to Intrepids

July 13, 2022 / Frank Gilbane

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.

Introduction – this
Travel Intrepid
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

https://intrep-id.com

Gilbane Advisor 7-13-22 — The Datasaurus, harmful enough?

July 13, 2022 / Frank Gilbane

This week we feature articles from Fabio Chiusano, and Jeff Jarvis.

Additional reading comes from Ivo Velitchkov & George Anadiotis, Siyuan Zhou, and Tanushree Shenwai.

News comes from Ontotext, Acquia, W3C, DataStax, and BigCommerce.

Reminder: If you’ve missed any recent issues you can see them here.

Opinion / Analysis

Are summary statistics enough when analyzing data?

Not really. Fabio Chiusano provides a fun and useful reminder why. (3 min).

https://medium.com/nlplanet/are-summary-statistics-enough-when-analyzing-data-4f3af59e3e7

How harmful is it?

As the UK gets ready to regulate harmful (including legal but harmful) speech online, the appointed regulator, Ofcom, released its annual survey of users. It’s informative to see just how concerned UK citizens seem to be about the internet… Not terribly.

Jeff Jarvis takes a critical look. (6 min).

https://medium.com/whither-news/how-harmful-is-it-dddcb5c63588

All Gilbane Advisor issues

Content technology news

Ontotext releases GraphDB 10

Includes smarter cluster architecture for better resilience, reduced infrastructure costs, faster graph analytics and enhanced search integration.
https://gilbane.com/2022/06/ontotext-releases-graphdb-10/

Acquia adds data subject deletion requests to Acquia CDP

To help organizations using Acquia Customer Data Platform (CDP) to comply with data subject requests and privacy laws in general.
https://gilbane.com/2022/06/acquia-adds-data-subject-deletion-requests-to-acquia-cdp/

W3C to become a public-interest non-profit organization

By incorporating, W3C is replacing its original Hosted model while preserving and boosting its open web standards developing work.
https://gilbane.com/2022/06/w3c-to-become-a-public-interest-non-profit-organization/

DataStax’s Astra Streaming now supports for Kafka and RabbitMQ

A managed messaging and event streaming service built on Apache Pulsar, with built-in API support for Kafka, RabbitMQ and Java Message Service (JMS).
https://gilbane.com/2022/06/datastaxs-astra-streaming-now-supports-for-kafka-and-rabbitmq/

BigCommerce expands in Europe and South America

With the localized tech and agency partner ecosystem, BigCommerce will enable merchants to build and scale their online businesses.
https://gilbane.com/2022/07/bigcommerce-expands-in-europe-and-south-america/

All content technology news

Opinion / Analysis

Data chess game: Databricks vs. Snowflake

Analyzing Apple’s growth strategy

More Reading…

Content technology news

Data Harmony suite Recommender released

IBM Research open-sources toolkit for Deep Search

Squarespace launches Fluid Engine

Botminds Document AI now available in Microsoft Azure Marketplace

Future Topics

Future Topics

Opinion / Analysis

Is LDA topic modeling dead?

Natural language processing (NLP) Python libraries in 2022

More Reading…

Content technology news

Introduction to Intrepids

Sitecore releases Experience Manager Cloud (XM Cloud)

Netlify announces investments for the Jamstack Innovation Fund

Kentico to focus on CMS & DXP

Elastic enhances cross-cluster search and replication

Future Topics

Future Topics

Be Intrepid on the web

Future Topics

Opinion / Analysis

Are summary statistics enough when analyzing data?

How harmful is it?

More Reading…

Content technology news

Ontotext releases GraphDB 10

Acquia adds data subject deletion requests to Acquia CDP

W3C to become a public-interest non-profit organization

DataStax’s Astra Streaming now supports for Kafka and RabbitMQ

BigCommerce expands in Europe and South America

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