Hacker News

APRIL 4, 2023

The XTS-210 is heavy-fuel compatible (diesel, Jet A, JP-8, kerosene) and multi-fuel capacble (gasoline, propane, hydrogen). Designed for military-grade robustness from its inception; and Multi-fuel capability, with initial testing focuses on JP-8/Jet-A fuels for defense and aerospace applications.

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Dataconomy

DECEMBER 2, 2016

As a particularly high profile example, JP Morgan Chase CEO Jamie Dimon famously raised the alarm when he said in. Interest in fintech disruption is at an all-time high, but who will be the winners and who the losers is far from clear. Banks themselves have been sending mixed messages. appeared first on Dataconomy.

Data Science 195

Data Science 195

Dataconomy

SEPTEMBER 18, 2023

Featured image credit: Jp Valery/Unsplash This underscores AI’s increasing importance as a transformative force in the global economy, holding the promise of groundbreaking collaborations between SoftBank and AI pioneers like OpenAI.

AI 202

AI AI Artificial Intelligence Artificial Intelligence 202

Hacker News

JULY 21, 2023

/main -m $LLAMA_30B_Q4_0 -n 32 -p $'Building a website can be done in 10 simple steps (from the original Japanese):nn' --grammar-file grammars/japanese.gbnf main: build = 674 (e550234) main: seed = 1688013430 llama.cpp: loading model from /Users/evan/llama-models/30B/ggml-model-q4_0.bin MB llama_model_load_internal: mem required = 19756.66

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Dataconomy

MARCH 6, 2024

Featured image credit: Jp Valery/Unsplash Who knows what other amazing applications we’ll discover as we continue to unlock the mysteries of this cutting-edge technology? Probably, the winner of XPRIZE Quantum Applications competition.

Machine Learning 121

Machine Learning Machine Learning Algorithm AI 121

NYU Center for Data Science

JUNE 21, 2023

A MS and PhD graduate in Computer Science from Columbia University, her work has been supported by the US National Science Foundation, Pivotal Ventures, JP Morgan Chase, and Meta Responsible AI, among others.

AI 84

AI AI Computer Science Computer Science 84

Snorkel AI

MAY 9, 2023

Speakers from organizations such as Arista, Caterpillar, Comcast, CVS, EY, Georgetown University CSET, Google, Gretel, Harvard, Hugging Face, JP Morgan & Chase, Microsoft, Predibase, Seldon, Snorkel, Uniphore, Wayfair, Wells Fargo, and more will share their insights on how to turn your data into your AI moat.

Natural Language Processing 52

Natural Language Processing Machine Learning Machine Learning Clean Data 52

Snorkel AI

MAY 9, 2023

Speakers from organizations such as Arista, Caterpillar, Comcast, CVS, EY, Georgetown University CSET, Google, Gretel, Harvard, Hugging Face, JP Morgan & Chase, Microsoft, Predibase, Seldon, Snorkel, Uniphore, Wayfair, Wells Fargo, and more will share their insights on how to turn your data into your AI moat.

Natural Language Processing 52

Natural Language Processing Machine Learning Machine Learning Clean Data 52

Snorkel AI

MAY 4, 2023

Speakers from organizations such as Arista, Caterpillar, Comcast, CVS, EY, Georgetown University CSET, Google, Gretel, Harvard, Hugging Face, JP Morgan & Chase, Microsoft, Predibase, Seldon, Snorkel, Uniphore, Wayfair, Wells Fargo, and more will share their insights on how to turn your data into your AI moat.

AI 52

AI AI Natural Language Processing ML 52

Snorkel AI

MAY 4, 2023

Speakers from organizations such as Arista, Caterpillar, Comcast, CVS, EY, Georgetown University CSET, Google, Gretel, Harvard, Hugging Face, JP Morgan & Chase, Microsoft, Predibase, Seldon, Snorkel, Uniphore, Wayfair, Wells Fargo, and more will share their insights on how to turn your data into your AI moat.

AI 52

AI AI Natural Language Processing ML 52

Smart Data Collective

MARCH 16, 2022

The use of big data and AI has changed the investment process in many ways (and through big companies like JP Morgan, SoFi, BlackRock, and so on. In some instances, AI labs are used to analyze the performance of investors and recommend changes that give significant results quickly.

Big Data 105

Big Data Big Data Deep Learning Deep Learning 105

Tableau

JUNE 13, 2022

Steven Hittle, vice president and BI innovation leader for JP Morgan Chase (JPMC), said he worked closely with his business stakeholders and designed the JPMC data management architecture around their needs and with the goal of enabling self-service. .

Tableau 78

Tableau Analytics Analytics Data Governance 78

Smart Data Collective

MARCH 21, 2022

Most recently, JP Morgan built a ‘Mesh’ on AWS and locked its scalability fortune on a decentralized architecture. It has begun to testify its worth with products across industrial use-cases. Data Mesh which is the latest addition to the stack is saving data teams from the hassle of producing qualitative data for all business types.

Data Lakes 66

Data Lakes Hadoop Data Silos Data Warehouse 66

Tableau

JUNE 13, 2022

Steven Hittle, vice president and BI innovation leader for JP Morgan Chase (JPMC), said he worked closely with his business stakeholders and designed the JPMC data management architecture around their needs and with the goal of enabling self-service. .

Tableau 72

Tableau Analytics Analytics Data Governance 72

ODSC - Open Data Science

MARCH 4, 2024

More than just engineering talent, Charles River has recruited from Google, Amazon, Meta, BCG, Jefferies, and JP Morgan, bringing experience across retail, operations, GIS, defense, healthcare tech, hospitals, insurance (health and other perils), digital marketing, finance, banking, insurance and private equity.

Python 52

Python Data Science Machine Learning Machine Learning 52

Snorkel AI

DECEMBER 12, 2023

JP Morgan Chase bank used an early version of Snorkel technology to update its intent model to handle rapidly changing customer needs during the COVID-19 pandemic. This efficiency translates to a reduction in labeling time from months to just days, a dramatic improvement.

AI 64

AI AI Machine Learning Machine Learning 64

Snorkel AI

DECEMBER 12, 2023

JP Morgan Chase bank used an early version of Snorkel technology to update its intent model to handle rapidly changing customer needs during the COVID-19 pandemic. This efficiency translates to a reduction in labeling time from months to just days, a dramatic improvement.

AI 59

AI AI Machine Learning Machine Learning 59

Dataconomy

AUGUST 16, 2023

Some of the biggest financial institutions that hire data scientists include Goldman Sachs, Morgan Stanley, and JP Morgan Chase. Finance: Financial institutions use data scientists to analyze market data, predict trends, and make investment decisions.

Data Scientist 172

Data Scientist Data Science Machine Learning Machine Learning 172

AWS Machine Learning Blog

NOVEMBER 8, 2023

JP Leger is a Senior Solutions Architect supporting academic medical centers and medical imaging workflows at AWS. He holds a PhD in Pharmaceutical Science from the University of Mississippi and has over 10 years of technology and biomedical research experience. He is passionate about technology and the impact it can make on healthcare.

AWS 96

AWS AI AI ML 96

Tableau

DECEMBER 4, 2020

Inside a data community at JP Morgan Chase. Instead of spending hours spinning in circles, employees can log on and ask a question, access resources or find the right point of contact—all in a protected setting. JPMorgan Chase developed a data community to support data activities and to nurture a data culture.

Tableau 54

Tableau Analytics Analytics Database 54

Tableau

DECEMBER 4, 2020

Inside a data community at JP Morgan Chase. Instead of spending hours spinning in circles, employees can log on and ask a question, access resources or find the right point of contact—all in a protected setting. JPMorgan Chase developed a data community to support data activities and to nurture a data culture.

Tableau 52

Tableau Analytics Analytics Database 52

phData

SEPTEMBER 29, 2023

Example: JP Morgan Chase applies the concepts of data engineering that help combine market data and transaction histories, making it feasible for banks to carry out ideal risk management analysis with efficient dashboards created from real-time data.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Dataconomy

JANUARY 2, 2024

Featured image credit: Jp Valery/Unsplash Note: For the first four payments, the cash out will be processed manually. After that, instant cash outs become available. It’s important to remember that cashing out is limited to once per 24-hour period.

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Smart Data Collective

JUNE 18, 2023

JP auctions. It’s important to note that many people share the same desire, and in some cities, a pre-queue system exists where people can register to secure a place in line. When pursuing this option, you must be careful to avoid purchasing fake or counterfeit products. The third option is to try your luck on the Supreme online store.

AI 80

AI AI Artificial Intelligence Artificial Intelligence 80

Alation

APRIL 6, 2023

Some historical “whoops” moments caused by spreadsheets include: JP Morgan lost $6 billion in the London “Whale” disaster. Spreadsheets are not typically developed and managed for enterprise use, which opens the door to risk from malicious actors, as well as human errors.

Data Governance 52

Data Governance Database Data Lakes Data Warehouse 52

AWS Machine Learning Blog

DECEMBER 6, 2023

Prior to joining AWS, Vedant has held ML/Data Science Specialty positions at various companies such as Databricks, Hortonworks (now Cloudera) & JP Morgan Chase. AI/ML Specialist, working on strategic Generative AI initiatives.

Database 94

Database AWS ML ML 94