It helps us to identify pitch of sound.
Its enhances ear power.
It eliminates sound.Pleasehelp me todownload this file.Need in urgent basis.next time I will support you.
At Contoso, we’re an architectural firm specializing in commercial architecture. Our aim is to foster collaborative thinking to further drive workplace innovation. By closing the loop and leveraging greener commercial buildings, we help businesses grow and nurture a consumer first mindset.
SOCIAL HOUSE
3 gói hỗ trợ nhà ở xã hội
Bộ Xây dựng cho biết hiện có ba gói hỗ trợ cho phát triển nhà ở xã hội, nhà ở công nhân, cải tạo xây dựng chung cư cũ.
Đó là gói hỗ trợ cho vay ưu đãi theo Chương trình phục hồi và phát triển kinh tế - xã hội giải ngân qua Ngân hàng Chính sách xã hội. Đến nay dư nợ cho vay ưu đãi đạt 9.800 tỉ đồng, cho 25.581 khách hàng thuộc đối tượng vay để mua, thuê nhà ở xã hội, nhà công nhân, xây dựng mới, sửa chữa, cải tạo chung cư cũ.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
It helps us to identify pitch of sound.
Its enhances ear power.
It eliminates sound.Pleasehelp me todownload this file.Need in urgent basis.next time I will support you.
At Contoso, we’re an architectural firm specializing in commercial architecture. Our aim is to foster collaborative thinking to further drive workplace innovation. By closing the loop and leveraging greener commercial buildings, we help businesses grow and nurture a consumer first mindset.
SOCIAL HOUSE
3 gói hỗ trợ nhà ở xã hội
Bộ Xây dựng cho biết hiện có ba gói hỗ trợ cho phát triển nhà ở xã hội, nhà ở công nhân, cải tạo xây dựng chung cư cũ.
Đó là gói hỗ trợ cho vay ưu đãi theo Chương trình phục hồi và phát triển kinh tế - xã hội giải ngân qua Ngân hàng Chính sách xã hội. Đến nay dư nợ cho vay ưu đãi đạt 9.800 tỉ đồng, cho 25.581 khách hàng thuộc đối tượng vay để mua, thuê nhà ở xã hội, nhà công nhân, xây dựng mới, sửa chữa, cải tạo chung cư cũ.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
2. ABOUT US
At Contoso, we empower organizations to foster collaborative
thinking to further drive workplace innovation. By closing the
loop and leveraging agile frameworks, we help business
grow organically and foster a consumer-first mindset.
20XX Pitch deck title 2
3. PROBLEM
MARKET GAP
Few, if any, products on the
market help customers like we do
CUSTOMERS
66% of US consumers spend money
on multiple products that only partially
resolves their issue
FINANCIALS
Millennials account for about a quarter
of the $48 billion spent on other
products in 2018
COSTS
Loss of productivity costing
consumers thousands of dollars
USABILITY
Customers want something easy to
use that helps make their life easier
20XX Pitch deck title 3
4. SOLUTION
CLOSE THE GAP
Our product makes consumer lives
easier, and no other product on the
market offers the same features
COST SAVINGS
Reduce expenses for replacement
products
TARGET AUDIENCE
Gen Z (18-25 years old)
EASY TO USE
Simple design that gives customers
the targeted information they need
20XX Pitch deck title 4
5. PRODUCT OVERVIEW
UNIQUE
Only product specifically dedicated to
this niche market
TESTED
Conducted testing with college
students in the area
FIRST TO MARKET
First beautifully designed product
that's both stylish and functional
AUTHENTIC
Designed with the help and input of
experts in the field
20XX Pitch deck title 5
6. PRODUCT BENEFITS
Cool and stylish product
Areas for community connections
Online store and market swap
20XX Pitch deck title 6
8. BUSINESS MODEL
RESEARCH
We based our research on
market trends and social
media
ABSTRACT
We believe people need
more products specifically
dedicated to this niche
market
DESIGN
Minimalist and easy to use
20XX Pitch deck title 8
9. MARKET OVERVIEW
$3B
• Opportunity to build
• Fully inclusive market
• Total addressable
market
$2B
• Freedom to invent
• Selectively inclusive
market
• Serviceable available
market
$1B
• Few competitors
• Specifically targeted
market
• Serviceable
obtainable market
20XX Pitch deck title 9
11. OUR COMPETITION
CONTOSO
• Our product is priced below that of other
companies on the market
• Design is simple and easy to use,
compared to the complex designs of the
competitors
• Affordability is the main draw for our
consumers to our product
COMPETITORS
• Company A
Product is more expensive
• Companies B & C
Product is expensive and inconvenient to
use
• Companies D & E
Product is affordable, but inconvenient to
use
20XX Pitch deck title 11
13. GROWTH STRATEGY
How we’ll scale in the future
PHASE 1: FEB 20XX
Roll out product to high profile or top-level participants to help establish the
product
PHASE 2: MAY 20XX
Release of the product to the general public and monitor press release and
social media accounts
PHASE 3: OCT 20XX
Gather feedback and adjust product design as necessary
20XX Pitch deck title 13
14. TWO YEAR ACTION PLAN
Draft blueprints
Feb 20XX
Run focus group
May 20XX
Gather feedback
Oct 20XX
20XX JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
20XX JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
Test design
Feb 20XX
Launch design
July 20XX
Deliver to client
Dec 20XX
20XX Pitch deck title 14
15. FINANCIALS
Year 1 Year 2 Year 3
INCOME
Users 50,000 400,000 1,600,000
Sales 500,000 4,000,000 16,000,000
Average price per sale 75 80 90
Revenue @ 15% 5,625,000 48,000,000 216,000,000
Gross profit 5,625,000 48,000,000 216,000,000
EXPENSES
Sales & marketing 5,062,500 38,400,000 151,200,000 70%
Customer service 1,687,500 9,600,000 21,600,000 10%
Product development 562,500 2,400,000 10,800,000 5%
Research 281,250 2,400,000 4,320,000 2%
Total expenses 7,593,750 52,800,000 187,920,000
20XX Pitch deck title 15
16. MEET THE TEAM
Takuma Hayashi
President
Mirjam Nilsson
Chief Executive Officer
Flora Berggren
Chief Operations Officer
Rajesh Santoshi
VP Marketing
20XX Pitch deck title 16
17. MEET THE TEAM
Takuma Hayashi
President
Mirjam Nilsson
Chief Executive Officer
Flora Berggren
Chief Operations Officer
Rajesh Santoshi
VP Marketing
Graham Barnes
VP Product
Rowan Murphy
SEO Strategist
Elizabeth Moore
Product Designer
Robin Kline
Content Developer
20XX Pitch deck title 17
18. SUMMARY
At Contoso, we believe in giving 110%. By using our next-
generation data architecture, we help organizations virtually
manage agile workflows. We thrive because of our market
knowledge and great team behind our product. As our CEO
says, "Efficiencies will come from proactively transforming
how we do business."
20XX Pitch deck title 18
