GG Group is a Chinese manufacturer of electric power equipment established in 1958 with headquarters in Guangzhou, China. It has local offices worldwide and produces power transformers up to 300MVA, distribution transformers up to 63MVA, switchgear up to 40.5kV, and cables and wires up to 36kV. The company employs 750 people, has factories covering 70,000 square meters, and has an annual turnover of $130 million. It is a top 10 manufacturer of power and distribution transformers in China and ranks number 2 in Guangdong province.
This document contains assessments of three student-created music magazines: Beats, Touched, and RNB. The magazines are evaluated based on criteria such as shot framing, use of lighting and setting, image manipulation, layout, and language register. Beats receives mixed feedback, with praise for its simple layout fitting the genre but criticism for inconsistent font usage and images not clearly relating to music. Touched is deemed unprofessional due to stretched images and a rushed feel. RNB is assessed most positively for having a thoughtful layout and design that works well for the chosen genre.
This document contains assessments of three student-created music magazines: Beats, Touched, and RNB. The magazines are evaluated based on criteria such as shot framing, use of lighting and setting, image manipulation, layout, and language register. Beats receives mixed feedback, praised for its simple layout but criticized for inconsistent fonts and an unrelated cover model. Touched is deemed unprofessional due to stretched images and rushed layout. RNB is assessed most positively for having a thoughtful layout, variety of shots, and images and text that work well together to suit the R&B genre.
Este documento presenta los temas y actividades de aprendizaje de la asignatura de Legislación Penal Especial del estudiante José Pastor Pérez Tovar en la Universidad Fermín Toro. Los temas a cubrir son la Ley Orgánica sobre el Derecho a las Mujeres a una vida libre de violencia, la Ley Orgánica de Drogas y un caso práctico del Tribunal Supremo de Justicia. Las actividades incluyen mapas conceptuales.
The silver price fell on Monday compared to the previous Wednesday, with lower highs, lower lows, and a closing price. Technical indicators on daily charts for silver show prices moving lower and converging within narrowing ranges, with moving averages declining and indicators in neutral or negative territory. Weekly charts also show silver prices remaining below the middle Bollinger Band for the past eight weeks and the bands continuing to widen.
This document discusses emerging trends in communications and marketing. It is divided into 8 sections that each explore a trend in more depth. Some of the key trends discussed include:
- Brands will need to establish social relevance through purpose-driven communications and humanitarian initiatives to attract customers and talent.
- Consumers will gain more insights into their own data and behaviors through wearable devices and data aggregation platforms and will make more data-driven choices.
- Video content will continue to rise in popularity and importance across websites, apps and social media as attention spans decrease.
- The sharing economy will continue to grow and disrupt traditional models in various industries like transportation, hospitality and finance through companies like Uber and AirBnB.
VALE stock opened higher on Tuesday than Monday but saw lower highs and lower lows throughout the day, closing higher but within a narrower range. Most technical indicators analyzed, such as the moving averages, RSI, MACD, and Bollinger Bands, are pointing lower or in negative territory, suggesting the potential for further price decreases. The parabolic SAR indicator has been in sell mode for 15 days.
The document provides a technical analysis of Symantec Corporation (SYMC) stock from January 13, 2016. It summarizes that on Tuesday, SYMC stock opened and closed higher than the previous day, with a higher high and higher low. Most technical indicators analyzed, such as the moving averages, RSI, and Bollinger Bands, were pointing to neutral or slightly positive momentum for SYMC stock.
GG Group is a Chinese manufacturer of electric power equipment established in 1958 with headquarters in Guangzhou, China. It has local offices worldwide and produces power transformers up to 300MVA, distribution transformers up to 63MVA, switchgear up to 40.5kV, and cables and wires up to 36kV. The company employs 750 people, has factories covering 70,000 square meters, and has an annual turnover of $130 million. It is a top 10 manufacturer of power and distribution transformers in China and ranks number 2 in Guangdong province.
This document contains assessments of three student-created music magazines: Beats, Touched, and RNB. The magazines are evaluated based on criteria such as shot framing, use of lighting and setting, image manipulation, layout, and language register. Beats receives mixed feedback, with praise for its simple layout fitting the genre but criticism for inconsistent font usage and images not clearly relating to music. Touched is deemed unprofessional due to stretched images and a rushed feel. RNB is assessed most positively for having a thoughtful layout and design that works well for the chosen genre.
This document contains assessments of three student-created music magazines: Beats, Touched, and RNB. The magazines are evaluated based on criteria such as shot framing, use of lighting and setting, image manipulation, layout, and language register. Beats receives mixed feedback, praised for its simple layout but criticized for inconsistent fonts and an unrelated cover model. Touched is deemed unprofessional due to stretched images and rushed layout. RNB is assessed most positively for having a thoughtful layout, variety of shots, and images and text that work well together to suit the R&B genre.
Este documento presenta los temas y actividades de aprendizaje de la asignatura de Legislación Penal Especial del estudiante José Pastor Pérez Tovar en la Universidad Fermín Toro. Los temas a cubrir son la Ley Orgánica sobre el Derecho a las Mujeres a una vida libre de violencia, la Ley Orgánica de Drogas y un caso práctico del Tribunal Supremo de Justicia. Las actividades incluyen mapas conceptuales.
The silver price fell on Monday compared to the previous Wednesday, with lower highs, lower lows, and a closing price. Technical indicators on daily charts for silver show prices moving lower and converging within narrowing ranges, with moving averages declining and indicators in neutral or negative territory. Weekly charts also show silver prices remaining below the middle Bollinger Band for the past eight weeks and the bands continuing to widen.
This document discusses emerging trends in communications and marketing. It is divided into 8 sections that each explore a trend in more depth. Some of the key trends discussed include:
- Brands will need to establish social relevance through purpose-driven communications and humanitarian initiatives to attract customers and talent.
- Consumers will gain more insights into their own data and behaviors through wearable devices and data aggregation platforms and will make more data-driven choices.
- Video content will continue to rise in popularity and importance across websites, apps and social media as attention spans decrease.
- The sharing economy will continue to grow and disrupt traditional models in various industries like transportation, hospitality and finance through companies like Uber and AirBnB.
VALE stock opened higher on Tuesday than Monday but saw lower highs and lower lows throughout the day, closing higher but within a narrower range. Most technical indicators analyzed, such as the moving averages, RSI, MACD, and Bollinger Bands, are pointing lower or in negative territory, suggesting the potential for further price decreases. The parabolic SAR indicator has been in sell mode for 15 days.
The document provides a technical analysis of Symantec Corporation (SYMC) stock from January 13, 2016. It summarizes that on Tuesday, SYMC stock opened and closed higher than the previous day, with a higher high and higher low. Most technical indicators analyzed, such as the moving averages, RSI, and Bollinger Bands, were pointing to neutral or slightly positive momentum for SYMC stock.
Seadrill's stock price fell on Monday, opening and closing lower than Friday's levels and hitting a new low. Technical indicators show the stock trending downward, with moving averages pointing lower and the price closing below Bollinger Band levels. Most indicators are in negative territory, signaling further potential downside.
Delta Air Lines technical analysis chartsChartician
The document analyzes technical indicators for Delta Air Lines stock from January 11, 2016. It summarizes that on Friday, the stock price opened higher but closed lower than the previous day. Most indicators show the stock trending downward, with prices below moving averages and closing below Bollinger bands for two consecutive days. The technical analysis suggests most indicators are pointing to lower prices for Delta Air Lines stock.
Price action for ARIAD Pharmaceuticals stock opened higher on Friday but saw lower highs and lower lows than the previous day, closing higher. Most technical indicators show the stock in a negative trend, with prices below moving averages and Bollinger bands contracting, suggesting further downward momentum. The Parabolic Stop and Reverse indicator has been in sell mode for three days.
Delta Air Lines technical analysis chartsChartician
Delta Air Lines stock opened higher on Tuesday but closed lower, falling towards the bottom of its 20 day moving average envelope. Several technical indicators are pointing to negative momentum, with the 5 day moving average crossing below the 20 day moving average and generating a negative signal. On weekly charts, the stock spent the second consecutive week below the top Bollinger Band, with the bands converging.
The stock ZIOP experienced lower prices, volume, and technical indicators on Monday compared to the previous Thursday. Several technical analysis charts show the stock trending downward, with the 20-day moving average, MACD, and Bollinger Bands all pointing to lower prices. The Parabolic Stop and Reverse indicator is in buy mode but close to reversing to sell mode.
The stock price of SPLS opened and closed lower on Monday compared to Friday, hitting new lows for the day. Technical indicators show the stock trending downward, with moving averages pointing lower and the price sustained below Bollinger Bands. Oscillators such as RSI and MACD are also signaling negatively.
AT&T stock price action on Tuesday opened higher than Monday's close but saw lower highs and lower lows throughout the day, closing higher. Technical indicators show the stock moving lower within the middle of moving average envelopes and channels, with indicators in neutral or negative territory, signaling downward momentum. Bollinger bands on daily and weekly charts show the stock closing below the middle band for multiple periods, with the bands diverging outwards.
The document analyzes technical indicators for the stock VALE on September 23, 2015. It summarizes that VALE opened and closed lower on Tuesday compared to Monday. Most indicators are pointing to negative momentum, with the stock falling away from the 20-day moving average and below key levels on the RSI, MACD, and stochastic indicators. The daily and weekly Bollinger bands are converging, signaling contracting volatility.
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
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.
Seadrill's stock price fell on Monday, opening and closing lower than Friday's levels and hitting a new low. Technical indicators show the stock trending downward, with moving averages pointing lower and the price closing below Bollinger Band levels. Most indicators are in negative territory, signaling further potential downside.
Delta Air Lines technical analysis chartsChartician
The document analyzes technical indicators for Delta Air Lines stock from January 11, 2016. It summarizes that on Friday, the stock price opened higher but closed lower than the previous day. Most indicators show the stock trending downward, with prices below moving averages and closing below Bollinger bands for two consecutive days. The technical analysis suggests most indicators are pointing to lower prices for Delta Air Lines stock.
Price action for ARIAD Pharmaceuticals stock opened higher on Friday but saw lower highs and lower lows than the previous day, closing higher. Most technical indicators show the stock in a negative trend, with prices below moving averages and Bollinger bands contracting, suggesting further downward momentum. The Parabolic Stop and Reverse indicator has been in sell mode for three days.
Delta Air Lines technical analysis chartsChartician
Delta Air Lines stock opened higher on Tuesday but closed lower, falling towards the bottom of its 20 day moving average envelope. Several technical indicators are pointing to negative momentum, with the 5 day moving average crossing below the 20 day moving average and generating a negative signal. On weekly charts, the stock spent the second consecutive week below the top Bollinger Band, with the bands converging.
The stock ZIOP experienced lower prices, volume, and technical indicators on Monday compared to the previous Thursday. Several technical analysis charts show the stock trending downward, with the 20-day moving average, MACD, and Bollinger Bands all pointing to lower prices. The Parabolic Stop and Reverse indicator is in buy mode but close to reversing to sell mode.
The stock price of SPLS opened and closed lower on Monday compared to Friday, hitting new lows for the day. Technical indicators show the stock trending downward, with moving averages pointing lower and the price sustained below Bollinger Bands. Oscillators such as RSI and MACD are also signaling negatively.
AT&T stock price action on Tuesday opened higher than Monday's close but saw lower highs and lower lows throughout the day, closing higher. Technical indicators show the stock moving lower within the middle of moving average envelopes and channels, with indicators in neutral or negative territory, signaling downward momentum. Bollinger bands on daily and weekly charts show the stock closing below the middle band for multiple periods, with the bands diverging outwards.
The document analyzes technical indicators for the stock VALE on September 23, 2015. It summarizes that VALE opened and closed lower on Tuesday compared to Monday. Most indicators are pointing to negative momentum, with the stock falling away from the 20-day moving average and below key levels on the RSI, MACD, and stochastic indicators. The daily and weekly Bollinger bands are converging, signaling contracting volatility.
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
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.
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
Build applications with generative AI on Google CloudMárton Kodok
We will explore Vertex AI - Model Garden powered experiences, we are going to learn more about the integration of these generative AI APIs. We are going to see in action what the Gemini family of generative models are for developers to build and deploy AI-driven applications. Vertex AI includes a suite of foundation models, these are referred to as the PaLM and Gemini family of generative ai models, and they come in different versions. We are going to cover how to use via API to: - execute prompts in text and chat - cover multimodal use cases with image prompts. - finetune and distill to improve knowledge domains - run function calls with foundation models to optimize them for specific tasks. At the end of the session, developers will understand how to innovate with generative AI and develop apps using the generative ai industry trends.
Orchestrating the Future: Navigating Today's Data Workflow Challenges with Ai...Kaxil Naik
Navigating today's data landscape isn't just about managing workflows; it's about strategically propelling your business forward. Apache Airflow has stood out as the benchmark in this arena, driving data orchestration forward since its early days. As we dive into the complexities of our current data-rich environment, where the sheer volume of information and its timely, accurate processing are crucial for AI and ML applications, the role of Airflow has never been more critical.
In my journey as the Senior Engineering Director and a pivotal member of Apache Airflow's Project Management Committee (PMC), I've witnessed Airflow transform data handling, making agility and insight the norm in an ever-evolving digital space. At Astronomer, our collaboration with leading AI & ML teams worldwide has not only tested but also proven Airflow's mettle in delivering data reliably and efficiently—data that now powers not just insights but core business functions.
This session is a deep dive into the essence of Airflow's success. We'll trace its evolution from a budding project to the backbone of data orchestration it is today, constantly adapting to meet the next wave of data challenges, including those brought on by Generative AI. It's this forward-thinking adaptability that keeps Airflow at the forefront of innovation, ready for whatever comes next.
The ever-growing demands of AI and ML applications have ushered in an era where sophisticated data management isn't a luxury—it's a necessity. Airflow's innate flexibility and scalability are what makes it indispensable in managing the intricate workflows of today, especially those involving Large Language Models (LLMs).
This talk isn't just a rundown of Airflow's features; it's about harnessing these capabilities to turn your data workflows into a strategic asset. Together, we'll explore how Airflow remains at the cutting edge of data orchestration, ensuring your organization is not just keeping pace but setting the pace in a data-driven future.
Session in https://budapestdata.hu/2024/04/kaxil-naik-astronomer-io/ | https://dataml24.sessionize.com/session/667627
"Financial Odyssey: Navigating Past Performance Through Diverse Analytical Lens"sameer shah
Embark on a captivating financial journey with 'Financial Odyssey,' our hackathon project. Delve deep into the past performance of two companies as we employ an array of financial statement analysis techniques. From ratio analysis to trend analysis, uncover insights crucial for informed decision-making in the dynamic world of finance."
A presentation that explain the Power BI Licensing
Atmel Corporation technical analysis charts
1. January 26, 2016
ATML: Atmel Corporation technical
analysis charts
On Monday, compared to Friday, price action opened unchanged (8.00, vs
Friday's close of 8.00), saw a lower high (8.01, vs Friday's high of 8.02) but higher
low (7.97, vs Friday's low of 7.96); and closed lower (7.97, vs Friday's close of
8.00). The day's range was 4 ticks.
On the 20-DAY MOVING AVERAGE ENVELOPE CHART below, price action fell away
from the bottom of the 20 day moving average envelope (8.20). The parameters
of the envelope (7.95-8.45) are pointing lower.
The RSI (39.57) below is in neutral mode between the key 20 (oversold) and 80
(overbought) levels.
2. January 26, 2016
The MACD 12 day moving average is above the MACD 26 day moving average;
both are above zero and falling.
The Slow Stochastics, below, are in positive mode, with the K line above the D
line.
The Commodity Channel Index (-45.27), below, is in positive mode above the
oversold -200 level.
On the DAILY BOLLINGER BANDS CHART below, Monday represents the 1st
consecutive entire day below the middle of the Bollinger Band envelope (8.20).
The Bollinger Bands (7.48-8.93) are pointing lower; and narrowed from a width of
148 ticks on Friday to a width of 145 ticks on Monday.
3. January 26, 2016
On the 5 AND 20 DAY MOVING AVERAGES CHART below, the 5 day moving
average (7.97, moving up) is below the 20 day moving average (8.20, moving
down); in negative mode. The 3-50 day strip of moving averages ranges from the
10 day moving average (7.92) at the bottom of the range to the 40 day moving
average (8.42) at the top of the range.
4. January 26, 2016
The Parabolic Stop and Reverse (7.72) below is in the 5th day of buy mode.
On the WEEKLY BOLLINGER BANDS CHART below, last week represents the 4th
consecutive close below the middle of the Bollinger Bands envelope (8.25). The
Bollinger Bands (7.44-9.06) are pointing lower; expanding from a width of 159
ticks on Friday to a width of 162 ticks on Monday.