#Striim

[govindhtech]

Striim and BigQuery Power’s UPS AI-Driven Delivery Security

Striim

UPS Capital is using artificial intelligence (AI) and Google’s Data Cloud to protect parcels against porch piracy. Over 300 million American consumers now purchase online, and UPS Capital has seen that protecting their package delivery ecosystem presents serious issues for their clients. The organisation is currently using data access and digital capabilities to assist clients reconsider conventional methods of preventing shipment loss and improving customer experiences.

Using AI and real-time data to secure shipments

Originally founded as a financial services branch in the 1990s, UPS Capital has significantly evolved into a comprehensive suite of solutions aimed at safeguarding businesses’ assets while they are in transit. With a variety of products and services, such as cutting-edge insurance, enhanced carrier protection, and assistance with integration for leading e-commerce platforms, UPS Capital enables companies to manage shipment risk-free and profitably while maintaining cash flow.

Shipping loss and insurance claims have increased due to the exponential rise in package delivery and the higher value of requested commodities, which creates an appealing opportunity for criminals. According to a TransUnion research from 2022, shipping fraud increased by more than 1,500% just from 2019 and 2021. UPS Capital has long provided clients with insurance solutions that act as a monetary safety net against shipment loss. UPS Capital has been able to adopt a new strategy for risk reduction with the predictive intelligence of DeliveryDefense Address Confidence because to the development of computing power and artificial intelligence.

Using machine learning algorithms and real-time data, DeliveryDefense Address Confidence protects deliveries by utilising Google’s Data Cloud and AI technology. It improves the evaluation of successful delivery probability while reducing the danger of loss or theft by giving probable delivery sites a confidence level. On a confidence score range of 100 to 1000, where 1000 denotes the highest likelihood of a successful delivery, each address is assigned a number. Based on customer reports of parcel theft, these scores are calculated. Through an API, shippers can include this score into their shipping workflow to take preventative, proactive measures on addresses with low confidence.

For example, the merchant has the option to proactively reroute the cargo to a secure UPS Access Point site if the package is intended for an address with a low confidence score. Because of their stringent chain of custody security protocols, these facilities usually earn a confidence score of approximately 950.

“BigQuery, Looker, and Vertex AI are being used by UPS to develop products that shield clients from danger by assisting them in preventing it in the first place. Customers can save money through lower losses, save time by reducing the number of human order reviews, and enhance their overall shopping experience by using DeliveryDefense Address Confidence scores in the shipping process. – Pinaki Mitra, UPS Capital’s vice president of data science and machine learning.

With DeliveryDefense, SunJoy, a customer of UPS Capital, has decreased its losses by 35% by adding an adult signature or rerouting items to a safer area in response to notifications regarding high-risk deliveries.

This service not only promotes customer happiness through timely and dependable deliveries, reduced costs, and overall better service quality, but it also streamlines operations and improves delivery fulfilment rates. This has a knock-on effect that affects every party participating in the supply chain favourably and makes the market more resilient and competitive.

Businesses can more easily manage their data with the help of Google Cloud’s unified data cloud, which streamlines the entire data lifecycle. Organisations may gain important insights without needless complication by employing cutting-edge technologies like Vertex AI and integrating various datasets into BigQuery with ease.” -John Kutay, Striim‘s Director of Product, Data, and AI.

DeliveryDefense Address for UPS A strong technical foundation is necessary for confidence, and it starts with the direct input of various datasets into BigQuery. BigQuery is Google Cloud’s cornerstone structured data repository, offering a dependable data warehousing solution. Concurrently, information obtained from SQL Server is carefully cleaned. These harmonised datasets are pooled in BigQuery and are easily connected with other Google Cloud services. They have been enhanced with multimedia components.

Subsequently, Vertex AI emerges to enable the implementation of complex machine learning models, including shipping transaction fraud detection and route anomaly detection models. With the wide range of tools provided by Vertex AI, UPS Capital can develop, hone, and apply models to uncover patterns, forecast trends, and extract insightful information from its data. Through the Looker API, Firestore, a flexible and scalable NoSQL database for server, browser, and mobile development from Firebase and Google Cloud, provides insights, confidence scores, and analytical details.

Real-time data streams utilising Striim and Google Cloud for generative AI

“With the help of Striim and Google Cloud, Google cloud can now use AI and ML to improve the customer experience.” – Pinaki Mitra, UPS Capital’s vice president of data science and machine learning.

At Striim, AI is driving innovation, especially in the fields of streaming contexts and gen AI. The real-time data integration platform enhances data representation, processing efficiency, and analytical correctness by dynamically embedding vectors into streaming information, complementing Google Cloud’s current design. Along with integrating data from many sources, both structured and unstructured, Striim uses a range of AI models from OpenAI and Vertex AI to create embeddings that produce similarity scores between data points to show potential correlations.

During this procedure, the streaming data is differentiated from conventional batch processing techniques by being enhanced with dynamically created vectors. In contrast to other approaches that depended on post-collection analysis, Striim‘s novel approach functions instantly, continuously enhancing and optimising the data flow. Through the integration of vectors into the streaming process, the system not only improves query relevance but also spurs continuous model improvement by bringing in real-time data.

Striim and Google Cloud were chosen by UPS Capital to make it possible to use AI models with real-time data streams. As a result, the organisation may lower the latency of identifying suspicious behaviour and continuously enhance its defence models at the speed of business. UPS Capital can improve the precision and efficacy of its defence mechanisms over time by analysing streaming data and dynamically creating vectors, guaranteeing continuous protection against shifting and emerging threats.

Future-Ready: UPS’s package delivery defence plan

Using real-time data and machine learning, UPS Capital’s DeliveryDefense Address Confidence, powered by Google BigQuery and Striim, revolutionises package delivery security. Shippers can reduce risk and enhance customer satisfaction by working with UPS Capital to implement proactive measures and give confidence scores. Learn how Striim on Google Cloud, like UPS’s DeliveryDefense Address Confidence, may enable real-time intelligence for AI. Get a free trial by registering now!

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[braxiations]

Cap-Captch! Devlog -1: an origin

Hello! I've already posted some stuff about my game project, Cap-Captch! in the past, but here I wanna go over how the game arose in the first place. About a year ago, I came up with an aesthetic and idea for a game called Fleazs-Fleazst!. FF would be a largely traditional RPG, and you can see a screenshot of it above. I made quite a few designs for characters and enemies and got quite far in terms of conceptualizing features. Here's the main character, Fleazst:

FF takes place in a world I'm currently calling Poyalia. The inhabitants of this world are strange creatures made of simple shapes. When a creature dies, they're reduced to a pile of fluff called "poff." The enemies you fight are normal inhabitants of the world, rendered aggravated. Their gloomy condition can only be cured by poffing them and using a watering can to revive them (which can also be used to revive allies.) When you revive an enemy, they give you an item in return.

Some footage of the poff-revive system in place. Ignore the other stuff, this is a test map. Normally, you'd have to actually fight the Gloomallow to poff them, of course. (Side note: the Gloomallow enemy is inspired by Hylics' Despair Puffs.) I'm quite happy with what I developed. In the game, you'd recruit 3 allies: Striim, who can pierce defense and has their abilities enhanced by coffee. They can also clear spiky bushes, allowing the party to access new areas. Bhocko, who is protective in nature and can shield their allies from harm. Their calming aura allows the party to obtain various creatures, such as Fimms and the duo Froms and Sneam. Froms and Sneam, a duo of mollusk and steed. F&S is a much less orthodox character as they can switch between mollusk and steed mode, changing their moveset and stats.

One mechanic I never attempted to implement (but I know I could do it) is the aforementioned Fimm collection mechanic. Throughout the world, you'd find small creatures called Fimms, who had been displaced due to various reasons. Fimms are like ants, living in underground colonies where they mine and search for food. As you collect Fimms and bring them back home, their mining efforts progress, providing the player with various rewards. One of these is new tunnels dug by the Fimms allowing for fast travel through different areas.

Eventually, I realized that Fleazs-Fleazst! was far, far too ambitious of a game. I've never directly developed a game before, and this certainly wasn't a good place to start. I decided to put the project on an indefinite hiatus. However, I still enjoy the world of Poyalia. FF's tone is happy but strange, and I wanted to continue to expand upon the world and aesthetic. So, I decided to take the element of catching Fimms expand it into an entirely separate, but much smaller game. In Cap-Captch!, you'll explore a small part of Poyalia, bringing creatures home to grow your plant collection. As I already have, I'll continue to document CC's development. I'm gonna try and aim for a daily devlog, but don't be shocked if I forget.

[blog2258]

A Comprehensive Guide to Database Migration Tools at Quadrant

Database migration at Q-migrator with Quadrant are software applications designed to assist in the transfer of data from one database system to another. These tools help automate and simplify the process of moving data, schema, and other database objects, ensuring data integrity, minimizing downtime, and reducing the risk of data loss. The need for database migration arises in various scenarios such as upgrading to a newer database version, switching database vendors, moving to a cloud-based database, or consolidating multiple databases. 

Key Features of Database Migration Tools 

Data Transfer: 

Facilitate the movement of data from source to target databases. 

Ensure accurate data mapping and transformation. 

Schema Migration: 

Migrate database schemas including tables, indexes, views, and stored procedures. 

Adjust schemas to fit the target database requirements. 

Data Transformation: 

Transform data formats to match the target database's specifications. 

Perform data cleansing and enrichment during migration. 

Data Validation and Testing: 

Validate data integrity and consistency post-migration. 

Provide tools for testing the migrated data to ensure accuracy. 

Real-Time Data Replication: 

Support continuous data replication for minimal downtime migrations. 

Synchronize data changes between source and target databases. 

Error Handling and Logging: 

Provide detailed logs and error reports for troubleshooting. 

Enable rollback mechanisms in case of migration failures. 

Security and Compliance: 

Ensure secure data transfer with encryption and secure protocols. 

Comply with data privacy regulations and standards. 

Benefits of Using Database Migration Tools 

Efficiency: Automate complex migration tasks, reducing manual effort and time. 

Reliability: Ensure data integrity and minimize the risk of data loss. 

Scalability: Handle large volumes of data efficiently. 

Flexibility: Support various database types and migration scenarios. 

Minimal Downtime: Enable near-zero downtime migrations for critical applications. 

Consistency: Maintain data consistency and accuracy throughout the migration process. 

Popular Database Migration Tools 

AWS Database Migration Service (DMS) 

Azure Database Migration Service 

Google Cloud Database Migration Service 

Oracle GoldenGate 

Striim 

Flyway 

Liquibase 

DBConvert Studio 

Hevo Data 

Talend Data Integration 

Conclusion 

Database migration tools are essential for businesses looking to upgrade, consolidate, or move their databases to new environments. They provide the necessary functionalities to ensure a smooth, efficient, and secure migration process, enabling organizations to leverage new technologies and infrastructure with minimal disruption. 

[ericvanderburg]

Striim Launches Real-time Application Connector Suite on BigQuery Studio

http://i.securitythinkingcap.com/T5RWzn

[data-observability]

5 Real-world Examples of Companies Using Striim for Real-Time Data Analytics

According to a recent study by KX, US businesses could see a total revenue uplift of $2.6 trillion through investment in real-time data analytics. From telecommunication to retail, businesses are harnessing the power of data analytics to optimize operations and drive growth read more

[martblogs]

Continuous Intelligence Market Research Report: Key Drivers and Restraints, Opportunities, Industry Share & Trend Analysis Report to 2028

This report provides a comprehensive analysis of current Global Continuous Intelligence Market based on segmented types and downstream applications. Major product development trends are discussed  under major downstream segment scenario.This report also focuses on major driving factors and inhibitors that affect the market and competitive landscape. Global and regional leading players in the Continuous Intelligence industry are profiled in a detailed way, with sales data and market share info. This report also includes global and regional market size and forecast, drill-down to top 20 economies.

 According to this survey, the global Continuous Intelligence market is estimated to have reached $ xx million in 2020, and projected to grow at a CAGR of xx% to $ xx million by 2028.

 Get Request Report @ https://martresearch.com/contact/request-sample/3/16941

 Covid-19 pandemic has impacted the supply and demand status for many industries along the supply chain. Global Continuous Intelligence Market Status and Forecast 2022-2028 report makes a brilliant attempt to unveil key opportunities available in the global Continuous Intelligence market under the covid-19 impact to help readers in achieving a better market position. No matter the client is industry insider, potential entrant or investor, the report will provide useful data and information.

 The Global Continuous Intelligence Market has been exhibited in detail in the following chapters

Chapter 1 displays the basic product introduction and market overview.

Chapter 2 provides the competition landscape of global Continuous Intelligence industry.

Chapter 3 provides the market analysis by type and by region

Chapter 4 provides the market analysis by application and by region

Chapter 5-10 presents regional and country market size and forecast, under the context of market drivers and inhibitors analysis.

Chapter 11 analyses the supply chain, including process chart introduction, upstream key raw material and cost analysis, distributor and downstream buyer analysis.

Chapter 12 provides the market forecast by type and by application

Chapter 13 provides the market forecast by region

Chapter 14 profies global leading players with their revenue, market share, profit margin, major product portfolio and SWOT analysis.

Chapter 15 conclusions

 Get Enquiry Report @ https://martresearch.com/contact/enquiry/3/16941

  Segmented by Type

l Proactive Push Systems

l On-Demand Systems

 Segmented by Application

l BFSI

l Retail

l Aerospace

l Healthcare

l Entertainment

l Manufacturing

l Other

 Get Discount Report @ https://martresearch.com/contact/discount/3/16941

Key manufacturers included in this survey

l TIBCO

l Swim

l SumoLogic

l Striim

l Splunk

l Qlik

l ITC Infotech

l InterSystems

l EVAM

l Alteryx

 Contact Us:-

+1-857-300-1122

 enquiry@martresearch.com

 sales@martresearch.com

[lucaswilliam119-blog]

STRIIM helps in continuous streaming of data and that too in real-time within your business premises as well as cloud platforms. It is a patented software on a business-grade platform that delivers real-time ingestion of data, high-speed streaming, and helps in providing data to cloud platforms.

[miimstream]

Favorite tweets: But the crown jewel of his properties is Palazzo Barbarigo in Venice, an iconic 16 century building on the Grand Canal. In order to be able to film it, me and my colleague @alburov had to hire a gondola. Now tell me that my job isn’t the coolest in the world. https://t.co/OGzLxvF64V — Maria Pevchikh (@pevchikh) Apr 27, 2022

http://twitter.com/pevchikh

[miimstream]

Favorite tweets: Here is me taking his autograph. This is not a sign of admiration, no. I needed his signature to be able to verify that it matches the one on the title deed for a New York penthouse worth $5m. https://t.co/e6gHbpa12o — Maria Pevchikh (@pevchikh) Apr 27, 2022

http://twitter.com/pevchikh

[miimstream]

Favorite tweets: Better because we're there. — Derek Powazek (@fraying) Apr 25, 2022

http://twitter.com/fraying