Focus on Your High Risk Parts. BOM Grading is an algorithm used to evaluate the BOM based on the individual part’s data. as lifecycle, multi-sourcing, inventory and environmental risk.
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Focus on Your High Risk Parts. BOM Grading is an algorithm used to evaluate the BOM based on the individual part’s data. as lifecycle, multi-sourcing, inventory and environmental risk.
Arihant Ambar, offers luxurious residential apartments in Greater Noida West, which is carefully crafted to provide the best of amenities and facilities. To know more visit @ http://goo.gl/wa74pD
A commission tracker developed for manual entry by reps, or import of data from a point of sale system. This Excel workbook was self-updating from a server, and when the month was over there was an upload option to copy the workbook directly to a server.
Errors during the receiving of products were happening. These discrepancies took a long time to fix if not caught. There was no manual way to catch these, so a program was made to read individual emails, and create a database to cross-check the point of sales system with.
A monthly report was provided with extra data, blank lines, and positive and negative values. This data was also on 4 different sheets. This program parsed and combined the data for direct compatibility with the reconciling system.
10 excel applications that improve business efficiencyRussell Kommer
In our consultancy, life is never dull. We are constantly finding new ways to use the incredibly powerful excel platform to provide value to our clients. In this post, we will showcase the following applications that our expert Microsoft developers have built.
This program was developed to guide employees with their job's financial duties. It required data entry via import of reports from the point of sale system and a website. The numbers could not be faked, and contradictory security measures made it impossible to hide discrepancies.
Metaphor Consulting Provides Vendor Master Training on Material Management Module.
Metaphor Consulting also provide corporate training on below module...
SAP Course’s Offers:
SAP ABAP / BASAIS
SAP BW / BI / BO
SAP HANA
SAP FI / CO
SAP PP / QM
SAP PM / PS
SAP SD / MM
This demonstrates one of my solutions that uses RRB and the SAP SOA to bill data residing on another application. I can use SAP ECC to bill from data on any system that can be exposed through a web service.
Prepare for your interview with these top 20 SAP FICO interview questions. For more IT Profiles, Sample Resumes, Practice exams, Interview Questions, Live Training and more…visit ITLearnMore – Most Trusted Website for all Learning Needs by Students, Graduates and Working Professionals.
Best IT Online Training Institute. Access video courses anytime, anywhere. High quality, Low Prices, Free Courses, Career Guidance, Tutorials & More in ITLearnMore.com. For more information visit http://www.ITLearnMore.com.
This program generates a report for 100's of employees with more than 40 data points. The information for this sheet is collected from 12 different sources.
Avnet's free, supply chain diagnostic tool enables customers to model the true cost savings they will experience by adding Avnet as their supply chain partner.
The reconcile process was done by analyzing items individually. Sometimes, duplicates were entered into the point of sale system that weren't caught by the reconcile process. This was complicated by the fact that a duplicate could be 2 identical entries, or 2 different items that were in the same commission category. This program analyzed an imported list and marked any duplicates.
This was one of the systems I installed. It is neatly out of the way of anything. This is a 8 camera system, but no wires are visible. The outlet was placed on the wall in that location during the build out of the location.
A commission tracker developed for manual entry by reps, or import of data from a point of sale system. This Excel workbook was self-updating from a server, and when the month was over there was an upload option to copy the workbook directly to a server.
Errors during the receiving of products were happening. These discrepancies took a long time to fix if not caught. There was no manual way to catch these, so a program was made to read individual emails, and create a database to cross-check the point of sales system with.
A monthly report was provided with extra data, blank lines, and positive and negative values. This data was also on 4 different sheets. This program parsed and combined the data for direct compatibility with the reconciling system.
10 excel applications that improve business efficiencyRussell Kommer
In our consultancy, life is never dull. We are constantly finding new ways to use the incredibly powerful excel platform to provide value to our clients. In this post, we will showcase the following applications that our expert Microsoft developers have built.
This program was developed to guide employees with their job's financial duties. It required data entry via import of reports from the point of sale system and a website. The numbers could not be faked, and contradictory security measures made it impossible to hide discrepancies.
Metaphor Consulting Provides Vendor Master Training on Material Management Module.
Metaphor Consulting also provide corporate training on below module...
SAP Course’s Offers:
SAP ABAP / BASAIS
SAP BW / BI / BO
SAP HANA
SAP FI / CO
SAP PP / QM
SAP PM / PS
SAP SD / MM
This demonstrates one of my solutions that uses RRB and the SAP SOA to bill data residing on another application. I can use SAP ECC to bill from data on any system that can be exposed through a web service.
Prepare for your interview with these top 20 SAP FICO interview questions. For more IT Profiles, Sample Resumes, Practice exams, Interview Questions, Live Training and more…visit ITLearnMore – Most Trusted Website for all Learning Needs by Students, Graduates and Working Professionals.
Best IT Online Training Institute. Access video courses anytime, anywhere. High quality, Low Prices, Free Courses, Career Guidance, Tutorials & More in ITLearnMore.com. For more information visit http://www.ITLearnMore.com.
This program generates a report for 100's of employees with more than 40 data points. The information for this sheet is collected from 12 different sources.
Avnet's free, supply chain diagnostic tool enables customers to model the true cost savings they will experience by adding Avnet as their supply chain partner.
The reconcile process was done by analyzing items individually. Sometimes, duplicates were entered into the point of sale system that weren't caught by the reconcile process. This was complicated by the fact that a duplicate could be 2 identical entries, or 2 different items that were in the same commission category. This program analyzed an imported list and marked any duplicates.
This was one of the systems I installed. It is neatly out of the way of anything. This is a 8 camera system, but no wires are visible. The outlet was placed on the wall in that location during the build out of the location.
Network wall in a business. All items were neatly arranged on the wall. There are about 20 network jacks and 4 phone jacks ran to this wall, but most wires are hidden.
Network wall in a business. All items were neatly arranged on the wall. There are about 40 network jacks and 4 phone jacks ran to this wall, but most wires are hidden.
This program was created as a sales tool. It had current promotions, rebates, and offers in it. A bundle could be created for the customer and printed instantly. With use, this program increased the sales volume of these services by over 500%.
This program took imported data from a point of sale system, and analyzed it for patterns common with fraudulent sales. This created a list of sales to investigate directly, instead of having to look at every sale or random sales.
Report data was required to be in a specific format, but there was no exact report in the point of sale system to use for this. The POS report had device models listed, but the data required was the 5-digit SKU code for that product. This program used a list of SKUs from the point of sale system to convert the model names on the report to the numbered SKU.
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
State of Artificial intelligence Report 2023kuntobimo2016
Artificial intelligence (AI) is a multidisciplinary field of science and engineering whose goal is to create intelligent machines.
We believe that AI will be a force multiplier on technological progress in our increasingly digital, data-driven world. This is because everything around us today, ranging from culture to consumer products, is a product of intelligence.
The State of AI Report is now in its sixth year. Consider this report as a compilation of the most interesting things we’ve seen with a goal of triggering an informed conversation about the state of AI and its implication for the future.
We consider the following key dimensions in our report:
Research: Technology breakthroughs and their capabilities.
Industry: Areas of commercial application for AI and its business impact.
Politics: Regulation of AI, its economic implications and the evolving geopolitics of AI.
Safety: Identifying and mitigating catastrophic risks that highly-capable future AI systems could pose to us.
Predictions: What we believe will happen in the next 12 months and a 2022 performance review to keep us honest.
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
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.
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdfGetInData
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms.
Why do we need yet another (open-source ) Copilot?
How can we build one?
Architecture and evaluation
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
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
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdfEnterprise Wired
In this guide, we'll explore the key considerations and features to look for when choosing a Trusted analytics platform that meets your organization's needs and delivers actionable intelligence you can trust.
1. Commission Reconcile Program - June 2009 (VBA/Excel)
On a monthly basis, a reconcile process was performed on thousands of line items. Items rang out of a point of sale
system were compared against a list of items that paid a commission. Some point of sale systems include a built-in
reconcile console, but the system the company I developed this for did not have that feature. A program was
developed to compare the sales in the point of sale system reports and the carrier-supplied report. Without a
program, each individual sale was being checked. With this program, paid items were able to be ruled out,
requiring only errors to be checked. This saved about 20 hours of work time per month.
This screen was the loading screen for the input information. Sales information from the point of sale system was exported into
individual commission files (per sales rep) and loaded in this screen on the left. The carrier commission payment statements
were loaded in the right side. All line items from each sales rep file were searched for and compared with all items on the
carrier side.
This is a sample of an export report of issues to research. Some information was blurred to protect propriety. This report was
what was different between what the sales reps claimed and what was paid by the carrier.