This week we have articles by Sachin Gupta, Panos Moutafis, Matthew J. Schneider, and Dan McCreary, and news from Bloomreach, SparkCognition, Neeva, MerlinOne, and Solo.io.
Opinion / Analysis
To protect consumer data, don’t do everything on the cloud
Sachin Gupta, Panos Moutafis, and Matthew J. Schneider team-up to describe a high-level approach to employing edge computing to reduce risk and dependence on consumer data use. A good read for senior management teams.
Edge computing, in which data is processed locally on hardware instead of on the cloud, can help them do just that by implementing three critical design choices. The design choices begin with how to think about data collection and extend to the actual data processing. They are: 1) sufficiency, or a focus on only must-have data; 2) aggregation, or lumping data together to produce group insights; and 3) alteration, or making minor changes to the data to hide an individual’s identity while minimally impacting the accuracy of insights.
… But how does this tech actually work, and how can companies who don’t have Apple-sized resources deploy it?
https://hbr.org/2021/06/to-protect-consumer-data-dont-do-everything-on-the-cloud
From data science to knowledge science
Dan McCreary predicts the arrival of a new discipline based on the availability of data stores of enterprise knowledge graphs to increase data analysis productivity. To get there, he argues we need to go beyond current approaches of data warehouses and feature stores to building…
…a set of tools for analysts to connect directly to a well-formed enterprise-scale knowledge graph to get a subset of data and transform it quickly to structures that are immediately useful for analysis. The results of this analysis can then be used to immediately enrich a knowledge graph. These pure Machine Learning approaches can complement the rich library of turn-key graph algorithms that are accessible to developers.
https://dmccreary.medium.com/from-data-science-to-knowledge-science-7f6707727489
More reading…
- How Viva Topics works… Microsoft’s Project Alexandria parses documents using unsupervised learning
- Deloitte on The future of the creative economy (done for Netflix; 77 pages; not read)
- Finally!… Elon Musk just now realizing that self-driving cars are a ‘hard problem’
- What the heck is a Data Mesh?! A bit technical. This is a critical look at Zhamak Dehghani’s original two posts (links included) and all are worth a read for the seriously interested.
Content technology news
Bloomreach launches new content module
Headless content module is built for commerce, enabling marketers and merchandisers to work as one to build e-commerce experiences.
https://gilbane.com/2021/06/bloomreach-launches-new-content-module/
SparkCognition acquires industrial knowledge management company Maana
SparkCognition gets Maana’s computational knowledge graph technology, its industrial expertise, and customers like, Shell, Aramco, and Airbus.
https://gilbane.com/2021/07/sparkcognition-acquires-industrial-knowledge-management-company-maana/
Neeva announces availability of its ads free, private search engine
Flipping the business model from ads-based to a subscription-based service 100 percent focused on the best search experience for consumers.
https://gilbane.com/2021/06/neeva-announces-availability-of-its-ads-free-private-search-engine/
MerlinOne introduces visual search for DAM
Using a combination of deep learning technology to search the visual content of objects without any dependence on textual metadata.
https://gilbane.com/2021/06/merlinone-introduces-visual-search-for-dam/
Solo.io releases Gloo Edge 1.8 and Gloo Portal 1.0
To transform to a cloud-native application architecture by connecting application services, service meshes, clusters, and clouds.
https://gilbane.com/2021/06/solo-io-releases-gloo-edge-1-8-and-gloo-portal-1-0/
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.
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