Trends in data and AI: Ben Lorica on cloud, platforms, models and Pegacorns
As Ben Lorica will readily admit, at the risk of dating himself, he belongs to the first generation of data scientists. In addition to having served as Chief Data Scientist for the likes of Databricks and O’Reilly, Lorica advises and works with a number of venture capitals, startups and enterprises, conducts surveys, and chairs some […]
Read More →The state of AI in 2022: Evolution, Distribution, Safety
If you think AI is moving at a breakneck speed and it’s almost impossible to keep up, you are not alone. Even if being on top of all things AI is part of your job, it’s getting increasingly hard to do that. Nathan Benaich and Ian Hogarth know this all too well, yet somehow they […]
Read More →Make software great again: can open source be ethical and fair?
Is there a way to go beyond open source, and have ethical, fair software in a cloud-first world? This is what some people in the open source community think. In the 20 years since its inception, open source has turned out to be the most successful model for building software. The world today runs on […]
Read More →Open or closed? On graph database access, query languages, community building, and TigerGraph
Having an entry path, as well as a strong community, is important for any solution, and graph databases are no different. Following latest developments in graph query languages, TigerGraph is changing its strategy. How will this affect the domain? If you’ve been watching the graph database space, you probably know TigerGraph. It’s one of the […]
Read More →Please wait while your future trickles down: innovation, asymmetry and evolution
If you believe the technologists, the future is around the corner and it’s going to be perfect. But is more technology really the answer to every problem? The future’s so bright, i gotta wear shades Do you know what CeBIT is? Chances are you do, because here you are reading this. This means you have […]
Read More →Big Data Security: What does it take and what are the strategies for implementing it?
Recently we referred to Hadoop security, taking a sneak peek at things to come and announcing an upcoming Gigaom report on the topic. Now the time has come and we are happy to announce that the “Hadoop security: Solutions emerge” Gigaom report has been published. But that’s not all, and in this post we give […]
Read More →Hadoop moving forward: a sneak peek at security & performance
As Hadoop is steadily making its way to the enterprise, the bar is raised in many ways. Since two of the most obvious requirements to be able to make it there are security and performance, i cherry-picked some related announcements made recently – shortly before and after Hadoop Summit, the biggest Hadoop event of the […]
Read More →Global and Mobile App Delivery in the Age of IT Consumerization. Part 3: Changes Going Forward and Analytics
In the 3rd and concluding part of this series of posts on Gigaom’s webinar on Global and Mobile App Delivery in the Age of IT Consumerization, sponsored by Akamai, the last items in the webinar agenda are covered: changes going forward and the impact on analytics and BI. The webinar (now available on Vimeo and […]
Read More →On APIs, JSON, Linked Data, attitude and opportunities
I’ve been meaning to revisit some of the things i’ve been writing about and getting feedback on lately – APIs, the JSON vs. XML “non” debate and Linked Data. My focus was going to be on JSON-LD as the low-hanging fruit of Linked Data, and this week some news came out that gave me the […]
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