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!
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.
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AWS Database Migration Service (DMS)
Azure Database Migration Service
Google Cloud Database Migration Service
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Striim
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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
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.
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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.
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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
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Check out the on-demand sessions from the Low-Code/No-Code Summit to learn how to successfully innovate and achieve efficiency by upskilling and scaling citizen developers. Watch now.
Can real-time technology help companies save during economic hardship? Alok Pareek thinks it can. Pareek is the cofounder and executive VP of products at Striim, a vendor whose goal and motto is to, “help companies…
System of Insight Market Development, Segment by Type, Region, Current Situation Market Size, Market Industry Market Forecast 2030
System of Insight Market 2022-2030
A New Market Study, Titled “System of Insight Market Upcoming Trends, Growth Drivers and Challenges” has been featured on fusionmarketresearch.
Description
This global study of the System of Insight Market offers an overview of the existing market trends, drivers, restrictions, and metrics and also offers a viewpoint for important segments. The report also tracks product and services demand growth forecasts for the market. There is also to the study approach a detailed segmental review. A regional study of the global System of Insight industry is also carried out in North America, Latin America, Asia-Pacific, Europe, and the Near East & Africa. The report mentions growth parameters in the regional markets along with major players dominating the regional growth.
The report offers detailed coverage of System of Insight industry and main market trends with impact of coronavirus. The market research includes historical and forecast market data, demand, application details, price trends, and company shares of the leading System of Insight by geography. The report splits the market size, by volume and value, on the basis of application type and geography.
The major players included in the report are
Oracle
IBM
SAS Institute
SAP
TIBCO Software
GoodData
Plutora
NGDATA
CoolaData
Striim
Signals Analytics
Streamlio
INETCO
Correleta
Radicalbit
Based on the type of product, the global System of Insight market segmented into
On-premise
Cloud
Based on the end-use, the global System of Insight market classified into
BFSI
Retail and eCommerce
Healthcare and Life Sciences
Government and Defense
Telecommunications and IT
Manufacturing
Others
Based on geography, the global System of Insight market segmented into
North America (United States, Canada and Mexico)
Europe (Germany, UK, France, Italy, Russia and Spain etc.)
Asia-Pacific (China, Japan, Korea, India, Australia and Southeast Asia etc.)
South America (Brazil, Argentina and Colombia etc.)
Middle East & Africa (South Africa, UAE and Saudi Arabia etc.)
Table of Contents
1 RESEARCH SCOPE
1.1 Research Product Definition
1.2 Research Segmentation
1.2.1 Product Type
1.2.2 Main product Type of Major Players
1.3 Demand Overview
1.4 Research Methodology
2 GLOBAL System of Insight INDUSTRY
2.1 Summary about System of Insight Industry
2.2 System of Insight Market Trends
2.2.1 System of Insight Production & Consumption Trends
2.2.2 System of Insight Demand Structure Trends
2.3 System of Insight Cost & Price
3 MARKET DYNAMICS
3.1 Manufacturing & Purchasing Behavior in 2020
3.2 Market Development under the Impact of COVID-19
3.2.1 Drivers
3.2.2 Restraints
3.2.3 Opportunity
3.2.4 Risk
4 GLOBAL MARKET SEGMENTATION
4.1 Region Segmentation (2017 to 2021f)
4.1.1 North America (U.S., Canada and Mexico)
4.1.2 Europe (Germany, UK, France, Italy, Rest of Europe)
4.1.3 Asia-Pacific (China, India, Japan, South Korea, Southeast Asia, Australia, Rest of Asia Pacific)
4.1.4 South America (Brazil,, Argentina, Rest of Latin America)
4.1.5 Middle East and Africa (GCC, North Africa, South Africa, Rest of Middle East and Africa)
4.2 Product Type Segmentation (2017 to 2021f)
4.2.1 On-premise
4.2.2 Cloud
4.3 Consumption Segmentation (2017 to 2021f)
4.3.1 BFSI
4.3.2 Retail and eCommerce
4.3.3 Healthcare and Life Sciences
4.3.4 Government and Defense
4.3.5 Telecommunications and IT
4.3.6 Manufacturing
4.3.7 Others
5 NORTH AMERICA MARKET SEGMENT
5.1 Region Segmentation (2017 to 2021f)
5.1.1 U.S.
5.1.2 Canada
5.1.3 Mexico
5.2 Product Type Segmentation (2017 to 2021f)
5.2.1 On-premise
5.2.2 Cloud
5.3 Consumption Segmentation (2017 to 2021f)
5.3.1 BFSI
5.3.2 Retail and eCommerce
5.3.3 Healthcare and Life Sciences
5.3.4 Government and Defense
5.3.5 Telecommunications and IT
5.3.6 Manufacturing
5.3.7 Others
5.4 Impact of COVID-19 in North America
What our report offers:
– Market share assessments for the regional and country-level segments
– Strategic recommendations for the new entrants
– Covers Market data for the years 2020, 2021, 2022, 2025, and 2030
– Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
– Strategic recommendations in key business segments based on the market estimations
– Competitive landscaping mapping the key common trends
– Company profiling with detailed strategies, financials, and recent developments
– Supply chain trends mapping the latest technological advancements
Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client’s interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
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.
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
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