You.com is taking on Google with AI, apps, privacy, and personalization
Award-winning AI research? Check. Startup and enterprise experience? Check. Venture capital and Mark Benioff backing? Check. Is that enough for Richard Socher’s you.com to take on Google? Are you happy with Google search? Regardless of how you answer this question, chances are you still use it. With the notable exceptions of China and Russia, where […]
Read More →Knowledge Graphs are the new Black. The Year of the Graph Newsletter, May 2019
Knowledge graphs become a centerpiece of Accenture and Microsoft’s toolkits. Knowledge graph lessons from Google, Facebook, eBay, IBM. Graph algorithms and analytics by Neo4j and Nvidia. Connected Data London and JSON-LD goodness, tips and tools for building and visualizing knowledge graphs, using graphs with Elixir and Typescript, and Geometric Deep Learning for a 3D world, […]
Read More →Graphs in the cloud. The Year of the Graph Newsletter: April 2019
The first sign of convergence in the graph space is here. Graph databases continue to grow, expand, and make their way to the cloud, a number of open source frameworks for working with graphs has been released, and a slew of new interesting use cases. Read the full article on the Year of the Graph
Read More →A gravitational wave moment for graph. The Year of the Graph Newsletter: March 2019
A gravitational wave moment for the graph community in the W3C Workshop on Web Standardization for Graph Data. Gartner includes Graph as Trend #5 in its Top 10 Data and Analytics Technology Trend for 2019. And graphs continuing to make waves in the real world in every possible way. Read the full article on the […]
Read More →Graph gets funding. The Year of the Graph Newsletter Vol. 7, November 2018
October 2018 was the busiest month in the busiest year in graph history, hence the longest Year of the Graph newsletter to date. Neo4j lands a massive funding round, Tinkerpop is moving forward, the most important knowledge graph research event with key industry presence, W3C organizing a Workshop on Web Standardization for Graph Data, and […]
Read More →Getting knowledge graph semantics and definitions right. The Year of the Graph Newsletter Vol. 6, October 2018
Getting knowledge graph semantics and definitions right, semantic web standards used in the real world, by Google no less, and ArangoDB, Azure CosmosDB, Neo4j and TigerGraph announcing new versions. By now you probably know that knowledge graphs are in Gartner’s Hype Cycle. But how does one actually define a knowledge graph? My take on ZDNet. […]
Read More →Mix and match analytics: data, metadata, and machine learning for the win
Creating winning analytics solutions means combining and making the most of different approaches and techniques. Taking a look at how Google does this for YouTube can provide inspiration and set a framework for analytics solutions.
Read More →Googling prescriptive analytics: YouTube recommendations and the analytics continuum
Understanding prescriptive analytics is complicated, let alone implementation. Would turning to Google help? Seeing how it works for Google raises questions, but may also lead to some answers.
Read More →Personal Data from the Source: How and Why Consumers and Marketers Can Connect
We saw in the previous posts a couple of examples of online marketing gone wrong. The common thread for these examples, and others like them, is the desire marketers have to reach out to new audiences – which is perfectly normal. But in many cases what they are doing is using a new medium – […]
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