Happy New Year Reader!:
Our first regular weekly issue will be out this Wednesday.
Below are three lists that report on what you, as a group, chose to read in 2021:
- The first is a list of the most popular analysis / opinion articles with direct links to the source.
- The second is a list of the most read newsletter issues published in 2021.
- The third list includes the top 10 newsletter issues read in 2021 that were published before 2021.
- We did not include news items in the popularity contest though a few articles included news.
Top 10 articles of 2021
Actually 15 with ties. The most popular analysis / opinion articles with direct links to the source to save you a click.
1. The cost of cloud, a trillion dollar paradox, a16z.com
2. Blockchain explained in 50 lines of code, medium.com
3. Taxonomy makes the world go round, storyneedle.com
3. A beautiful power tool to scrape, clean, and combine data, blog.jonudell.net
5. It’s Apple’s internet now, mobiledevmemo.com
6. Metaverses, stratechery.com
7. The role of ontologies within unified data models, tdwi.org
7. How news publishers are turning casual, infrequent readers into paying subscribers, www.niemanlab.org
7. Here’s why we may need to rethink artificial neural networks, towardsdatascience.com
8. Announcing OpenMetadata, blog.open-metadata.org
9. The beginner’s guide to the modern data stack, towardsdatascience.com
10. Aggregation Theory applied to martech stacks, chiefmartec.com
10. An era of digital humans, medium.com
10. The metaverse was lame even before Facebook, www.theatlantic.com
Most read issues of 2021
The top 20 newsletter issues published in 2021. We switched email service providers and combined analysis / opinion articles and content technology news in June. This happily resulted in more interaction and explains why 19 of top 20 most read issues are from the second half of the year. All issues are published on gilbane.com, and since June also published on our Revue newsletter site. For consistency we have used the gilbane site links here, and in the next list, so you don’t have to flip between sites while exploring.
- Gilbane Advisor 3-29-21 — low-code, data catalogs, platforms, search, AI
- Gilbane Advisor 6-16-21 — Ontology, KGs, NLU, no open rates
- Gilbane Advisor 7-21-21 — DAM scaling, quantum computing
- Gilbane Advisor 11-3-21 — past metaverses, future web design
- Gilbane Advisor 6-23-21 — Fluid, Apple vs open web, data stacks
- Gilbane Advisor 6-30-21 — whose sandbox?, cloud paradox, CMOs CDOs
- Gilbane Advisor 6-2-21 — cookiepocalypse, query understanding
- Gilbane Advisor 7-14-21 — big data to big metadata
- Gilbane Advisor 9-22-21 — No-code, data stacks, OpenMetadata
- Gilbane Advisor 12-15-21 — Friending ML, CDP vs. CDW
- Gilbane Advisor 9-15-21 — bio neurons, neural nets, GraphQL over SPARQL
- Gilbane Advisor 7-7-21 — cloud vs edge, data science to knowledge science
- Gilbane Advisor 8-18-21 — Graph thinking, machine learning ops
- Gilbane Advisor 11-10-21 — Content, commerce and martech, Metabrand
- Gilbane Advisor 9-1-21 — Privacy-what to do? ML explained
- Gilbane Advisor 11-23-21 — Turkeys 🦃, smooshing, and e.coli
- Gilbane Advisor 8-4-21 — metaverses, DYI scrape and clean data
- Gilbane Advisor 10-27-21 — Taxonomies rule, localization for all
- Gilbane Advisor 8-25-21 — Bluesky, big data, graphs and hypergraphs
Most read issues in 2021 from previous years
- Gilbane Advisor 2-28-17 — digital twin, IoT, wearables, product-market fit, CX
- Gilbane Advisor 5-9-18 — Ad cost, engagement, consent, speech
- Gilbane Advisor 5-5-20 — no proof, medium hard, build it, pod-mail?
- Gilbane Advisor 6-3-20 — AMP life, what VR, platforms, skills
- Gilbane Advisor 8-23-17 — Health data computing, PWAs, blockchain & syndication, don’t “get started”
- Gilbane Advisor 10-7-20 — GPT-3, Qubits, AGI, Wayback
- Gilbane Advisor 9-26-18 — voice assistant use, blockchain martech, JS as CO2, disruption
- Gilbane Advisor 3-6-18 — What’s open, why decentralization, blockchain for publishing, breakthroughs
- Gilbane Advisor 6-4-19 — Martech metrics, B2C AR, B2B AR, machine talking
- Gilbane Advisor 11-11-20 — web fix, ad bubble, dev exp, cloud myths
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.