Collective intelligence
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Collective intelligence refers to the knowledge that emerges from the collaboration and competition of many individuals. It can be harnessed by creating platforms that allow users to contribute information and materials or take what they need. While this wider range of sources increases accuracy and views, it requires many contributors to be truly effective. Collective intelligence shapes what we see online through social networks and websites that use user activity to improve recommendations. It is an important concept as it helps to organize information on the internet and allows individuals to have input in how the online environment develops.
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Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
Dandelion Hashtable: beyond billion requests per second on a commodity server
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
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Collective intelligence
- 1. N CE I GE LL TE IN TI VE L EC OLILLY C ER O’
- 2. WHAT IS ‘COLLECTIVE INTELLIGENCE’? As the name suggests- a collection of knowledge from several sources/people. The knowledge gained/obtained can be put on the internet, e.g. on networking sites-doing this will make them more likely to appear on a search engine Collective intelligence could be more accurate and a more intelligent choice-explain why
- 3. HOW DO YOU ‘HARNESS’ COLLECTIVE INTELLIGENCE? It’s simple. All you have to do is create a platform for users, such as Youtube or Ebay. The individual who is part of this can contribute with their own information/materials or simply take what they need. For example-Bit Torrent-you can share or just take videos.
- 4. STRENGTHS AND ADVANTAGES A wider range of information is available as there are different sources A wide range of sources also means a wider range in views It’s free to upload your information
- 5. WEAKNESS AND DISADVANTAGES As mentioned on the previous slide, collective intelligence can be more accurate then other sources, but in order for this concept to be successful, you need several members rather than just a few. The previous point may help to make the source is more accurate.
- 6. “Hyperlinking is the foundation of the web. As users add new content, and new sites, it is bound into the structure of the web by other users discovering the content and linking to it.” (O’Reilly, T. 2005)
- 7. SOME FORMS OF COLLECTIVE INTELLIGENCE:
- 8. Websites and programmes such as Spotify and Last FM are examples of collective intelligence. Each one of us who logs on to a social site e.g. twitter is contributing to the ever building pool of knowledge.
- 9. “The central principle behind the success of the giants born in the Web 1.0 era who have survived to lead the Web 2.0 era appears to be this, that they have embraced the power of the web to harness collective intelligence.” O’Reilly
- 10. Several websites use user activity to produce better websites and suggestions. This means that even without realising you are contributing to collective intelligence… so next time a suggested video on Youtube comes up, you know that you’re contributing to collective intelligence…
- 11. WHY IS COLLECTIVE INTELLIGENCE IMPORTANT? Firstly it is important because it helps to shape what we see around us. E.g. social network sites such as Facebook and Twitter. Secondly, it helps when you are surfing the web, e.g. if you’re the kind of person who likes animals then animal adverts may appear.
- 12. OVERALL… Collective intelligence is something that comes in handy when searching for something e.g. when you are on Twitter, hashtags are used, This helps to separate and categorize information. So if you needed to find something about an earthquake, you could just type in ‘#earthquake’-you will get several results which have a hashtag with the key word on to it. You also get to have an input in the way that the cyber environment works around you.