5 technology trends for the roaring 20s, part 1: Blockchain, cloud, open source
Data is changing the paradigm in everything from business to social interactions. Here is what will shape the data landscape for the years to come.
Read More →K is for Knowledge: Application and data integration for better business, using metadata and knowledge graphs
Being disrupted by Big Tech is one of the greatest concerns for any business. Good news: There may be a path to accelerate digital transformation and out-compete Big Tech, by leveraging domain knowledge.
Read More →Why autonomous vehicles will rely on edge computing and not the cloud
When driving a vehicle, milliseconds matter. Autonomous vehicles are no different, even though it may be your AI that drives them. AI = data + compute, and you want your compute to be as close to your data as possible. Enter edge computing.
Read More →The state of open source databases in 2019: Multiple Databases, Clouds, and Licenses
An extensive survey shows the attitude of the market towards open source databases, drivers and inhibitors to adoption
Read More →Apple, Alibaba, Amazon, and the gang promote state of the art in AI and Knowledge Discovery with Graphs
In one of the biggest AI events in the world, over 3,000 experts from research and industry showcased and discussed their latest work. Advances in machine learning are happening across the board, and integrating knowledge-based systems with graph-based deep learning promises breakthroughs.
Read More →Advancing human exploration: Is space the final frontier, and how can data and AI get us there?
Fifty years after the moon landing, it's not just NASA working on what many consider the final frontier for humanity: space travel. NASA, however, is special, and one of the reasons is that data is at the heart of what it does.
Read More →AI applications, chips, deep tech, and geopolitics in 2019: The stakes have never been higher
The state of AI in 2019 report analysis with report author, AI expert, and venture capitalist Nathan Benaich continues. High-profile applications, funding, and the politics of AI
Read More →The state of AI in 2019: Breakthroughs in machine learning, natural language processing, games, and knowledge graphs
A tour de force on progress in AI, by some of the world's leading experts and venture capitalists.
Read More →Getting your corporate data ready for prescriptive analytics: data quantity and quality in equal measures
Good news: there's nothing special about getting your data ready for prescriptive analytics. Bad news: you need to do what's needed to get your data ready for any type of analytics – and that's hard work.
Read More →A guide for prescriptive analytics: The art and science of choosing and applying the right techniques
Prescriptive analytics is nothing short of automating your business. But there's lots of hard work, and many stages you need to go through before you get there.
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