doc2016
2 days ago
"Focus: Fabric focuses on providing a unified platform for data and analytics, while .NET is a general-purpose development platform for building various types of applications. ย
Deployment: Fabric is a cloud-based SaaS offering, while .NET applications can be deployed on-premises, in the cloud, or in hybrid environments. ย
Technology Stack: Fabric leverages various technologies within the Azure ecosystem, while .NET is a specific framework for building applications on the Microsoft platform."
one platform for unified communications is 8 mantra.....
this .NET is a specific framework for building applications on the msft platform.
now, is this an arbitrary object platform in the manner of vcsy or borland delphi, which is willy nilly? the tools for building might say msft on them, but are they manifestations of v ip patents?
the key word for the presentation is do they use arbitrary in the manner of vcsy or pure chance.......from my readings on quantum stuff, there is no pure chance . everything is by design/rules of order/probabilities......
doc2016
2 days ago
is microsoft fabric vcsy ips?
i asked gemini ai 1.5 pro :"is microsoft fabric a new .net platform?
No, Microsoft Fabric is not a new .NET platform. It's actually a unified analytics platform that brings together various data and analytics tools into a single, integrated environment. ย
Here's a breakdown of what Microsoft Fabric is and how it relates to .NET:
Microsoft Fabric:
Unified Analytics Platform: Fabric combines components from Azure Synapse Analytics, Azure Data Factory, Power BI, and other services into a single platform. It provides a comprehensive suite of tools for data integration, engineering, warehousing, science, real-time analytics, and business intelligence. ย
SaaS Offering: Fabric is delivered as a Software as a Service (SaaS) solution, meaning it's hosted and managed by Microsoft in the cloud. ย
Key Features:
OneLake: A multi-cloud data lake that provides a centralized repository for all your data. ย
Data Factory: A data integration service for creating ETL (Extract, Transform, Load) pipelines. ย
Synapse Analytics: A platform for big data analytics, data warehousing, and data science. ย
Power BI: A business intelligence tool for data visualization and reporting. ย
Target Users: Data engineers, data scientists, data analysts, and business users. ย
Relationship to .NET:
Not a .NET Platform: Fabric is not built on or directly related to the .NET platform. It's a cloud-based SaaS offering that leverages various technologies and services within the Microsoft Azure ecosystem. ย
Potential for Integration: While Fabric itself is not a .NET platform, it's possible to integrate .NET applications with Fabric. For example, you could use .NET to build custom data connectors, process data, or interact with Fabric APIs.
.NET for Data Science: .NET can be used for data science tasks within the Fabric environment, particularly with tools like ML.NET.
Key Differences:
Focus: Fabric focuses on providing a unified platform for data and analytics, while .NET is a general-purpose development platform for building various types of applications. ย
Deployment: Fabric is a cloud-based SaaS offering, while .NET applications can be deployed on-premises, in the cloud, or in hybrid environments. ย
Technology Stack: Fabric leverages various technologies within the Azure ecosystem, while .NET is a specific framework for building applications on the Microsoft platform.
In Summary:
Microsoft Fabric is a powerful analytics platform that provides a comprehensive suite of tools for data professionals and business users. While it's not directly related to the .NET platform, there are opportunities for integration and using .NET for specific tasks within the Fabric environment. However, it's important to understand that Fabric is a distinct offering with its own focus and capabilities. ย
Sources and related content
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doc2016
5 days ago
does microfrontend carry it's own time stamp?
It's not quite accurate to say that a microfrontend itself carries its own timestamp. However, timestamps can play a crucial role in managing and updating microfrontends within a larger web application.
Here's how timestamps relate to microfrontends:
1. Independent Deployments:
Microfrontends are designed to be independently deployable. This means that each microfrontend can be updated and released without affecting other parts of the application. ย
Timestamps can be used to track the version and deployment time of each microfrontend. This helps ensure that the latest version of each microfrontend is loaded and displayed in the application.
2. Cache Busting:
Browsers often cache static assets (like JavaScript and CSS files) to improve performance. However, this can cause problems when a microfrontend is updated, as the browser might still load the old cached version. ย
Timestamps can be used as query parameters in the URLs of microfrontend assets. This forces the browser to re-fetch the assets from the server, ensuring that the latest version is loaded.
Example: https://my-app.com/microfrontend-1.js?t=1678886400 (where t is a timestamp).
3. Version Control and Rollbacks:
Timestamps can be used in conjunction with version control systems to track changes to microfrontends and enable rollbacks to previous versions if necessary.
This helps maintain the stability and reliability of the application, especially when multiple teams are working on different microfrontends concurrently.
4. Dependency Management:
Microfrontends often have dependencies on shared libraries or resources. ย
Timestamps can be used to track the versions of these dependencies and ensure that compatible versions are loaded.
5. Build Processes:
Timestamps can be embedded into the build artifacts of microfrontends during the build process. This helps track the build time and identify potential issues related to specific builds.
Important Considerations:
Timestamp Granularity: The granularity of timestamps (e.g., seconds, milliseconds) should be chosen based on the frequency of updates and the desired level of precision.
Synchronization: In a distributed microfrontend architecture, ensuring that timestamps are synchronized across different servers and clients can be important.
Alternative Versioning Strategies: While timestamps can be useful, other versioning strategies, such as semantic versioning or content hashing, might be more robust and reliable in certain situations.
In Summary:
While microfrontends themselves don't inherently carry timestamps, timestamps can be a valuable tool for managing their deployment, versioning, and integration within a larger application. By using timestamps effectively, developers can ensure that the latest versions of microfrontends are loaded, manage dependencies, and maintain the stability of the application.
Sources and related content
doc2016
5 months ago
Device drivers interact with the kernel primarily through a well-defined set of interfaces and mechanisms:
Kernel APIs and System Calls:
Drivers use kernel-provided functions (APIs) to access kernel resources, manage memory, schedule tasks, and communicate with other parts of the system.
Drivers also implement specific entry points (system calls) that the kernel invokes to perform device-specific operations requested by user applications or other parts of the system. ย
Interrupts and DMA:
Drivers use interrupts to signal the kernel when a device requires attention, such as when data is ready to be transferred or an error has occurred. ย
Drivers may also use Direct Memory Access (DMA) to transfer data directly between a device and memory without involving the CPU, improving performance. ย
Device Registration and Management:
Drivers register themselves with the kernel during system initialization, providing information about the devices they support and the operations they can perform. ย
The kernel maintains a registry of loaded drivers and handles device discovery, configuration, and resource allocation.
Kernel Modules:
In many modern operating systems, drivers are implemented as loadable kernel modules, allowing them to be added or removed from the running kernel without requiring a system reboot.
doc2016
5 months ago
the role of cpaas in generative ai
Show drafts
CPaaS (Communications Platform as a Service) plays a crucial role in enabling and enhancing the integration of generative AI into communication channels.
Here's how: ย
Seamless Integration: CPaaS platforms provide the necessary infrastructure and APIs to easily integrate generative AI models into various communication channels, such as voice, SMS, chat, and video. This allows businesses to leverage the power of AI to enhance customer interactions, automate processes, and personalize experiences. ย
Real-Time Communication: CPaaS enables real-time communication between generative AI models and customers, allowing for instant responses and dynamic conversations. This is essential for applications like AI-powered chatbots, virtual assistants, and voice assistants. ย
Scalability: CPaaS platforms are designed to be scalable, allowing businesses to easily add or remove communication channels and AI capabilities as needed. This ensures that the generative AI-powered communication solution can adapt to changing business needs and growing customer demand. ย
Omnichannel Experience: CPaaS enables businesses to provide a consistent and seamless omnichannel experience for their customers. Generative AI models can be integrated across multiple channels, allowing customers to interact with the same AI assistant across different platforms, such as website chat, SMS, or voice calls. ย
Data Collection and Analysis: CPaaS platforms can collect and analyze data from customer interactions with generative AI models. This data can be used to train and improve the AI models, personalize customer experiences, and gain insights into customer behavior and preferences.
Security and Compliance: CPaaS platforms often provide built-in security features and compliance measures to protect customer data and ensure privacy. This is crucial when dealing with sensitive information that may be shared during interactions with generative AI models. ย
Use Cases of CPaaS in Generative AI:
AI-Powered Chatbots: CPaaS enables businesses to deploy AI-powered chatbots that can handle customer inquiries, provide support, and even complete transactions. ย
Virtual Assistants: CPaaS can be used to create virtual assistants that can schedule appointments, send reminders, and perform other tasks for customers.
Voice Assistants: CPaaS allows businesses to develop voice assistants that can answer questions, provide directions, and control smart home devices.
Personalized Marketing: Generative AI models integrated with CPaaS can create personalized marketing messages and recommendations based on customer data and preferences.
Conclusion:
CPaaS plays a critical role in bridging the gap between generative AI and communication channels. By providing the necessary infrastructure, APIs, and features, CPaaS enables businesses to leverage the power of AI to transform customer interactions, improve efficiency, and drive growth.
Sources and related content
doc2016
7 months ago
from the quarterly:"These are the early indicators that our efforts to build a high-performance go-to-market organization are working. Given the nature of enterprise sales cycles and our ratable revenue growth, there's a lag before our progress is evident in our revenue growth. But I am confident that the changes we've made will drive improved performance and accelerating growth by the end of the current fiscal year. As we look to the future, our strategy is clear. We will continue to drive innovation, intentionally engineered solutions that deliver superior business outcomes for our customers. I encourage you to watch a short video case study of the San Diego Zoo's implementation of our integrated solution as an example of our solution approach and rapid time to value.
Working in partnership with the internal team at the zoo, we implemented a full service contact center with an AI-based self-service option for inbound calls in less than 45 days. We have intentionally engineered our products and solutions for this level of agility and rapid time to value. We can leverage this advantage to develop our own purpose-built solutions as well. For example, 2024 is a big year for elections in both the US and UK. Using the power of conversational AI and automation, our UK team built a library of out-of-the-box templates to support local government and improve citizen access to important information for upcoming elections. To drive awareness and adoptions of our innovations, we are committed to continued improvement in our go-to-market activities."
doc2016
7 months ago
yahoo seems to have deleted my posts. but i guess investorhub is freedom from tyranny and manipulation.
8 and aws;
sap and aws for multiple chat apps in an app? sap and aws pr today.
ec2 of aws allows users to rent virtual servers . to use such and the services they provide you might also need to use the 8 patent for user designated dynamic dns mapping of virtua server and virtual services desired.
a review of the sap/aws pr shows there are 7 ai's available : AIw1 labs, anthropic, cohere,meta, mistral ai, stabiity ai, and amazon.
i'm wondering if apple will use some aws for their ai. i believe apple used ibm, which was on vz, which is now on aws.
small world...
doc2016
2 years ago
natural language prompts and ability to translate and transcribe. etl........
now i wonder if a prompt is calling for the correct virtual server/virtual service to do you work?
one for financial, another for football team, another for medical, another for chemistry/physics/,
another for medical specialties like eye, ent, cardiac, endocrinology or across the board medicine?
another for dna sequencing/synthetic construction.
etc.
doc2016
2 years ago
google is down today because of rumored faulty information for a search on james webb telescope. the ai said james webb was the first to take pictures of exoplanets, but it was done earlier . However, a search of nasa and james webb disclosed that james webb would be taking/took pictures of exoplanets in never before seen wavelengths which would yield new information. so, not exactly right but not wrong. the meta data should have indicated what kind of pictures...new wavelength pictures. perhaps, like any other ml/ai , the more you use it, the better it gets?
doc2016
2 years ago
hp bought neoware and now poly. poly used 8x8 network. new partner of 8x8 hp.
hp partner of vmware and msft and cisco and intel and amd and google and ect.
vista equity and citrix which is to be integrated with tibco.
citrix client to msft os/pc's. for connection to server/services/and other organizations.
8x8 and cloud ip. including nodes and networked nodes.
connectivity via ethereum blockchain, merge proof of stake.
contracts at the client side determine the functionality/routing/etc.
data about corporate interactions analyzed in realtime.
sales force organization can be redone with significantly less effort than before. this would facilitate mergers and acquisitions and reorganizations.
we all remember 1-800 flowers, or some of us do.
adhoc working groups now becoming de rigueur in many organizations due to job, goals, employee attendance, etc.
doc2016
2 years ago
yahoo posting still locked down, but.............:
Avg Vol (3 month) 3 2.36M
Avg Vol (10 day) 3 2.01M
Shares Outstanding 5 109.27M
Implied Shares Outstanding 6 N/A
Float 8 90.04M
% Held by Insiders 1 3.06%
% Held by Institutions 1 99.04%
Shares Short (Oct 14, 2022) 4 16.22M
Short Ratio (Oct 14, 2022) 4 8.29
Short % of Float (Oct 14, 2022) 4 25.23%
Short % of Shares Outstanding (Oct 14, 2022) 4 14.85%
Shares Short (prior month Sep 15, 2022) 4 13.92M
'
doc2016
2 years ago
cointelegraph.com/news/google-launches-blockchain-node-engine-for-web-3-0-developersAccording to an Oct. 27 announcement, tech-giant Google is launching an in-house Blockchain Node Engine (BNE) based on Google Cloud. As a node-hosting service, BNE enables Web3 companies to relay transactions, deploy smart contracts, and read or write blockchain data directly on Google Cloud. Ethereum will be the first blockchain supported by BNE. As told by Google:
โToday, manually deploying a node is a time-intensive process that involves provisioning a compute instance, installing an Ethereum client, and waiting for the node to sync with the network. [...] Google Cloudโs BNE can make this process faster and easier by allowing developers to deploy a new node with a single operation and specify the desired region and network.โ============
note..........relay transactions......ethereum will be the first supported by bne......ethereum merge essential brave browser, which has deal with 8x8 integration. google cloud ai deal with 8x8....oh.......so, bne would seem to be an 8x8 deal and vertical thing with 8x8 network. wags.
Good Timer
4 years ago
About CEO Dave Sipes in his own words (from Linkedin):
I am passionate about leading high-growth companies with disruptive products, and building market-leading organizations.
Most recently, as RingCentralโs Chief Operating Officer, I led product, engineering and go-to-market functions for their 9 global offices and 350K+ customers worldwide. With a robust and talented technology and go-to-market team, we created a world-class customer-first culture, growing the company from $10MM per year to more than $750MM.
Before joining RingCentral, I co-founded and served as COO of Branders.com, the nationโs largest online B2B seller of promotional items. Prior to that, I worked in brand management at PepsiCo and was a principal at Booz Allen Hamilton in their marketing intensive group. In that role, I provided strategic guidance to marketing and media companies such as Heinz Company, Callaway Golf, and Universal Pictures.
I am a frequent speaker at industry events, including Enterprise Connect and Forbes CIO Summit. I hold an MBA with an emphasis on marketing from the Kellogg School of Management at Northwestern University, as well as a bachelorโs degree in business from the University of California, Berkeley.
(The bold emphasis was added by me)